References of "Mathieu, Sébastien"
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See detailProbabilistic capacity assessment for three-phase low-voltage distribution networks
Benzerga, Amina ULiege; Mathieu, Sébastien ULiege; Bahmanyar, Alireza ULiege et al

in Proceeding of the IEEE 15th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) (2021, August)

The increase of photovoltaic panels and electric vehicles in low-voltage distribution systems leads to over-voltage, under-voltage, and congestion issues. These issues, related to new installations, add a ... [more ▼]

The increase of photovoltaic panels and electric vehicles in low-voltage distribution systems leads to over-voltage, under-voltage, and congestion issues. These issues, related to new installations, add a considerable cost to distribution system operators, and therefore to customers. Distribution system operators want to limit these costs by determining the impact of photovoltaic panel production and electrical vehicle charging. This paper presents a probabilistic method enabling operators to evaluate the network capacity, defined as the number of new installations that can be added to the network without adapting it to overcome under- and over-voltage. The method provides multiple probabilistic performance indicators reflecting a large number of possible configurations resulting from new installations added to the low-voltage network. The evaluation of this method is done using a case study based on an existing European network. The method provides tangible results as the maximum number of photovoltaic installations or electric vehicle chargers within a defined confidence level. Results, in the test case, show that the capacity of the network is evaluated as a 45% penetration rate for photovoltaic installations, or 4% for electric vehicle chargers, with a 5% violation of operational indicators. [less ▲]

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See detailLow-voltage network topology and impedance identification using smart meter measurements
Benzerga, Amina ULiege; Maruli, Daniele; Sutera, Antonio ULiege et al

in Proceedings of the 2021 IEEE Madrid PowerTech (2021, June)

Distribution system operators have been upgrading their network over several decades, though not always keeping digital records of all changes. As a result, the operators do not always know exactly how ... [more ▼]

Distribution system operators have been upgrading their network over several decades, though not always keeping digital records of all changes. As a result, the operators do not always know exactly how their customers are connected to a network. Some of these customers are equipped with smart meters, providing voltage and current time-series. These measurements can be used to identify the network topology and the line impedances. This paper presents a method to identify radially operated low-voltage networks which can be applied with limited number of smart meters. The resulting identified model provides the map of the network and impedances of the inferred lines, allowing to perform subsequent analyses (e.g. power-flow). Simulation results on a case study with 128 nodes show an average error of 0.69% in computed voltages, while only 40% of the nodes are equipped with smart meters. [less ▲]

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See detailAn Artificial Intelligence Solution for Electricity Procurement in Forward Markets
Théate, Thibaut ULiege; Mathieu, Sébastien ULiege; Ernst, Damien ULiege

in Energies (2020), 13(23),

Retailers and major consumers of electricity generally purchase an important percentage of their estimated electricity needs years ahead in the forward market. This long-term electricity procurement task ... [more ▼]

Retailers and major consumers of electricity generally purchase an important percentage of their estimated electricity needs years ahead in the forward market. This long-term electricity procurement task consists of determining when to buy electricity so that the resulting energy cost is minimised, and the forecast consumption is covered. In this scientific article, the focus is set on a yearly base load product from the Belgian forward market, named calendar (CAL), which is tradable up to three years ahead of the delivery period. This research paper introduces a novel algorithm providing recommendations to either buy electricity now or wait for a future opportunity based on the history of CAL prices. This algorithm relies on deep learning forecasting techniques and on an indicator quantifying the deviation from a perfectly uniform reference procurement policy. On average, the proposed approach surpasses the benchmark procurement policies considered and achieves a reduction in costs of 1.65% with respect to the perfectly uniform reference procurement policy achieving the mean electricity price. Moreover, in addition to automating the complex electricity procurement task, this algorithm demonstrates more consistent results throughout the years. Eventually, the generality of the solution presented makes it well suited for solving other commodity procurement problems. [less ▲]

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See detailAllocation of locally generated electricity in renewable energy communities
Manuel de Villena Millan, Miguel ULiege; Mathieu, Sébastien ULiege; Vermeulen, Eric et al

E-print/Working paper (2020)

This paper introduces a methodology to perform an ex-post allocation of locally generated electricity among the members of a renewable energy community. Such an ex-post allocation takes place in a ... [more ▼]

This paper introduces a methodology to perform an ex-post allocation of locally generated electricity among the members of a renewable energy community. Such an ex-post allocation takes place in a settlement phase where the financial exchanges of the community are based on the production and consumption profiles of each member. The proposed methodology consists of an optimisation framework which (i) minimises the sum of individual electricity costs of the community members, and (ii) can enforce minimum self-sufficiency rates –proportion of electricity consumption covered by local production– on each member, enhancing the economic gains of some of them. The latter capability aims to ensure that members receive enough incentives to participate in the renewable energy community. This framework is designed so as to provide a practical approach that is ready to use by community managers, which is compliant with current legislation on renewable energy communities. It computes a set of optimal repartition keys, which represent the percentage of total local production given to each member – one key per metering period per member. These keys are computed based on an initial set of keys provided in the simulation, which are typically contractual i.e., agreed upon between the member and the manager the renewable energy community. This methodology is tested in a broad range of scenarios, illustrating its ability to optimise the operational costs of a renewable energy community. [less ▲]

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See detailShort-term active distribution network operation under uncertainty
Mathieu, Sébastien ULiege; Ernst, Damien ULiege; Gemine, Quentin ULiege

in Proceeedings of the16th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2020) (2020, August)

Electrical distribution systems need to integrate more and more renewable energy generation in their network. Since networks cannot be quickly upgraded at a low cost, new generators are connected to the ... [more ▼]

Electrical distribution systems need to integrate more and more renewable energy generation in their network. Since networks cannot be quickly upgraded at a low cost, new generators are connected to the network under non-firm access contracts. These contracts allow distribution system operators to specify dynamic access limits according to a given regulatory policy, e.g. “last-in, first-out” or a similar policy. Due to operational delays, access limits must be communicated before realtime, e.g. ten minutes ahead. This paper presents an operational method to compute these dynamic access limits using correlated probabilistic forecasts of power consumption and production processes. The method is illustrated on a test-case based on real data where no additional production would be allowed under firm access. Results show that the method allows to safely integrate additional production capacity while limiting congestion events, provided that efficient probabilistic forecasts able to anticipate sudden and important changes are available. [less ▲]

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See detailA Framework to Integrate Flexibility Bids into Energy Communities to Improve Self-Consumption
Manuel de Villena Millan, Miguel ULiege; Boukas, Ioannis ULiege; Mathieu, Sébastien ULiege et al

in 2020 IEEE PES General Meeting (2020, August)

Hastened by the emergence of new technologies, a revolution of the electricity retailing business has put forward new ways of electricity trading. One such new concept is the renewable energy communities ... [more ▼]

Hastened by the emergence of new technologies, a revolution of the electricity retailing business has put forward new ways of electricity trading. One such new concept is the renewable energy communities (RECs), composed of consumers, prosumers, and generation assets, and managed by an energy community manager. This paper introduces a framework in which demand response in the form of flexibility bids is integrated into RECs to improve their welfare. By using an optimization framework, we have designed a day-ahead activation strategy for such bids where the manager of the REC plans the provisioning of the community in the day-ahead market. Results show that creating a community where flexibility bids are integrated reduces the total system costs by making use of flexibility bids to enhance the matching of supply and demand. [less ▲]

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See detailHarnessing the flexibility of energy management systems: a retailer perspective
Mathieu, Sébastien ULiege; Manuel de Villena Millan, Miguel ULiege; Vermeulen, Eric et al

in Proceedings PowerTech 2019 (2019, June)

The business of electricity retailing is changing following the current evolution of the electricity system. An example of such an evolution is the increasing number of clients installing sophisticated ... [more ▼]

The business of electricity retailing is changing following the current evolution of the electricity system. An example of such an evolution is the increasing number of clients installing sophisticated energy management systems controlling the production or consumption of a large variety of devices as, for instance, photovoltaic panels with storage solutions. These systems, if managed properly, may provide flexibility to the electricity system to which they are connected, typically by means of an intermediary such as a retailer. Retailers could transfer such flexibility in consumption/production of electricity to the day-ahead and intraday electricity markets, trade it with other balance responsible parties, or use it to participate in the imbalance market. This paper defines an interaction model between a retailer and its clients, based on generic flexibility bids over multiple market periods. The defined interaction model relies on smart meters for registering the trades of electricity and requires no modification of the current rules and regulations of the European electricity system. The concept of flexibility is defined with respect to a baseline, which is negotiated and agreed upon between the retailer and each client. This baseline can be modified by the client following an update mechanism, which must comply with certain security checks by the retailer in order to make sure it is not fraudulent. Any deviations from the quarter-hourly comparison between expected and actual production/consumption are invoiced at a discounted price. [less ▲]

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See detailProbabilistic Forecasting of Imbalance Prices in the Belgian Context
Dumas, Jonathan ULiege; Boukas, Ioannis ULiege; Manuel de Villena Millan, Miguel ULiege et al

in 2019 16th International Conference on the European Energy Market (EEM) (2019)

Forecasting imbalance prices is essential for strategic participation in the short-term energy markets. A novel two-step probabilistic approach is proposed, with a particular focus on the Belgian case ... [more ▼]

Forecasting imbalance prices is essential for strategic participation in the short-term energy markets. A novel two-step probabilistic approach is proposed, with a particular focus on the Belgian case. The first step consists in computing the net regulation volume state transition probabilities. It is modeled as a matrix computed using historical data. This matrix is then used to infer the imbalance prices, since the net regulation volume can be related to the level of reserves activated and the corresponding marginal prices for each activation level are published by the Belgian Transmission System Operator one day before electricity delivery. This approach is compared to a deterministic model, a multi-layer perceptron, and to a widely used probabilistic technique, Gaussian Processes. [less ▲]

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See detailImpact of gate closure time on the efficiency of power systems balancing
Petitet, Marie; Perrot, Marie; Mathieu, Sébastien ULiege et al

in Energy Policy (2019), 129

This paper focuses on market design options for operational balancing management in self-dispatch electric power systems. In particular, it investigates the most relevant timing for the balancing gate ... [more ▼]

This paper focuses on market design options for operational balancing management in self-dispatch electric power systems. In particular, it investigates the most relevant timing for the balancing gate closure, when competitors' decisions on the setting of controllable assets are neutralized and this responsibility is simultaneously transferred to the system operator. This discussion is central in the development and implementation of the European Electricity Balancing Guideline. Based on a multi-level simulation tool with a realistic modelling of short-term power system operations, this paper proposes the first quantitative assessment of postponing the balancing gate closure time from 1 h to 15 min ahead of the imbalance settlement period. For different environments (energy mix, power plant capabilities, outages, etc), the results highlight that postponing the balancing gate closure time from 1 h to 15 min increases the operational cost of the system. Based on robust and scalable results, we show that this difference is mainly due to a better coordination of the available resources by the central decision maker. [less ▲]

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See detailOn the efficiency of decentralized decision-making in self-dispatch power systems
Petitet, Marie; Perrot, Marie; Mathieu, Sébastien ULiege et al

E-print/Working paper (2018)

This paper focuses on market design options for operational balancing management in self-dispatch electric power systems. In particular, it investigates the most relevant timing for the balancing gate ... [more ▼]

This paper focuses on market design options for operational balancing management in self-dispatch electric power systems. In particular, it investigates the most relevant timing for the balancing gate closure, when competitors can no longer modify their decisions on the setting of controllable assets and when this responsibility is simultaneously transferred to the system operator. This discussion is central in the development and implementation of the European Electricity Balancing Guideline. Based on a multi-level simulation tool with a realistic modelling of short-term power system operations including informational asymmetry between market participants and the system operator, this paper proposes the first quantitative assessment of reducing the balancing gate closure time from one hour to 15 minutes ahead of the imbalance settlement period. For different environments (energy mix, power plant capabilities, outages, etc…), the results highlight that postponing the balancing gate closure time from one hour to 15 minutes increases the operational cost of the system. Based on robust and scalable results, we show that this difference is mainly due to a better coordination of the available resources by the central decision maker. [less ▲]

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See detailDistributed Control of Photovoltaic Units in unbalanced LV Distribution Networks to Prevent Overvoltages
Olivier, Frédéric ULiege; Fonteneau, Raphaël ULiege; Mathieu, Sébastien ULiege et al

in Proc. of the 6th IEEE International Conference on Smart Energy Grid Engineering (SEGE 2018) (2018, August 12)

As more and more photovoltaic units are being installed, some LV networks have already attained their maximum hosting capacity, i.e. the maximum amount of distributed energy resources that they can ... [more ▼]

As more and more photovoltaic units are being installed, some LV networks have already attained their maximum hosting capacity, i.e. the maximum amount of distributed energy resources that they can accommodate during regular operations without suffering problems, such as overvoltages. As an alternative to network reinforcement, active network management (ANM) can, to a certain extent, increase their hosting capacity by controlling the power flows. In the framework of ANM, a distributed control scheme was previously presented. It makes use of a distress signal sent by each participating unit, when its terminal voltage is higher than 1.1 p.u. All units then proceed to absorb the maximum reactive power available. If the problem is not resolved, the units proceed to active power curtailment. This paper extends this control scheme to the case of unbalanced three-phase four-wire distribution networks with single- and/or three-phase inverters. The control scheme works by first partitioning the inverters into four groups, three for the single-phase inverters (one for each phase), and one for the three-phase converters. Each group then independently applies a distributed algorithm similar to the one previously presented. Their performance are then compared to those of two reference schemes, an on-off algorithm that models the default behaviour of PV inverters when there is an overvoltage, and the other one based on an unbalanced OPF. Its resulting total curtailed energy always lies between the two, with the on-off algorithm presenting the poorest performance, and the proposed algorithm losing its edge when the network is strongly unbalanced. [less ▲]

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See detailEffect of Voltage Constraints on the Exchange of Flexibility Services in Distribution Networks
Mathieu, Sébastien ULiege; Olivier, Frédéric ULiege; Ernst, Damien ULiege et al

in Proceedings of the 9th Conference on Innovative Smart Grid Technology North America (ISGT 2018) (2018, February)

Many possibilities exist to organise exchanges of flexibility within a distribution system. In this paper, we call such a possibility an interaction model. The DSIMA (Distribution System Interaction Model ... [more ▼]

Many possibilities exist to organise exchanges of flexibility within a distribution system. In this paper, we call such a possibility an interaction model. The DSIMA (Distribution System Interaction Model Analysis) testbed allows one to compare quantitatively candidate interaction models by simulating a distribution system with actors taking decisions to maximise their own profit or minimise their costs. The original testbed focused on establishing the procedures to exchange information between actors and used a network flow model considering only active power. This paper extends DSIMA with a linear approximation of the power flow equations, the line limits and the voltage constraints. This linear flow model is compared to a network flow model by simulating three different interaction models governing the exchange of flexibility services within a Belgian distribution system. Results show that changing the network model may significantly impact the quantitative results obtained from the simulations. [less ▲]

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See detailSiSTEM, a Model for the Simulation of Short-Term Electricity Markets
Mathieu, Sébastien ULiege; Petitet, Marie; Perrot, Marie et al

E-print/Working paper (2017)

The aim of this document is to present SiSTEM, a multi-level simulation model of European short-term electricity markets, covering day-ahead and intraday exchanges to balancing activations in real-time ... [more ▼]

The aim of this document is to present SiSTEM, a multi-level simulation model of European short-term electricity markets, covering day-ahead and intraday exchanges to balancing activations in real-time, and imbalance settlement. In this model, power companies interact by making offers, notifying their positions to the system operator and impacting the balance of the electric system. The system operator activates balancing energy to restore the balance of the system, using all balancing activation offers, including from balancing reserves. Imbalance settlement implies bidirectional transactions between the system operator and power companies depending on the direction of their imbalance. A simulation of the model is performed by sequentially considering each time step and simulating actors’ decisions. The objective of this model is to understand the problems behind decisions of the actors within the short-term electrical system operation, to provide insights on how these problems can be solved through market design and to see how the decisions are linked together to shape a coherent system. This paper presents different simulation cases of an illustrative system in order to portray main features of the model in a practical and effective manner. In particular, the results show the importance of considering steady-state constraints and notice delays of generation units when looking at short-term issues. Future works could use this model to provide quantitative assessments of short-term market designs. [less ▲]

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See detailAggregation of flexible domestic heat pumps for the provision of reserve in power systems
Georges, Emeline ULiege; Quoilin, Sylvain ULiege; Mathieu, Sébastien ULiege et al

in Proceedings of the 30th International Conference on Efficiency, Cost, Optimisation, Simulation and Environmental Impact of Energy Systems. (2017, July)

The integration of renewable energy sources in the electricity production mix has an important impact on the management of the electricity grid, due to their intermittency. In particular, there is a ... [more ▼]

The integration of renewable energy sources in the electricity production mix has an important impact on the management of the electricity grid, due to their intermittency. In particular, there is a rising need for flexibility, both on the supply and demand sides. This paper assesses the amount of flexibility that could be reserved from a set of flexible residential heat pumps in a given geographical area. It addresses the problem of a load aggregator controlling a set of heat pumps used to provide both space-heating and domestic hot water. The flexibility of the heat pumps is unlocked in order to reduce electricity procurement costs in the day-ahead electricity market, while ensuring the provision of a predefined amount of reserve for real-time grid management. The objective of the paper is two-fold. On the one hand, an aggregation method of large sets of heat pumps based on physics-based models and random sampling techniques is proposed. On the other hand, a combined optimization problem is formulated to determine both the optimal electricity demand profile to be bought on the day-ahead market and the cost associated to the reservation of a defined amount of power. The method is applied to a set of 40000 residential heat pumps in Belgian houses. Results show that these houses can provide up to 100MW of upward reserve for 50% of the current costs. The provision of downward reserve at competitive cost is hampered by significant overconsumption. [less ▲]

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See detailResidential heat pump as flexible load for direct control service with parametrized duration and rebound effect
Georges, Emeline ULiege; Cornélusse, Bertrand ULiege; Ernst, Damien ULiege et al

in Applied Energy (2017), 187

This paper addresses the problem of an aggregator controlling residential heat pumps to offer a direct control flexibility service. The service consists of a power modulation, upward or downward, that is ... [more ▼]

This paper addresses the problem of an aggregator controlling residential heat pumps to offer a direct control flexibility service. The service consists of a power modulation, upward or downward, that is activated at a given time period over a fixed number of periods. The service modulation is relative to an optimized baseline that minimizes the energy costs. The load modulation is directly followed by a constrained rebound effect, consisting of a delay time with no deviations from the baseline consumption and a payback time to return to the baseline state. The potential amount of modulation and the constrained rebound effect are computed by solving mixed integer linear problems. Within these problems, the thermal behavior of the building is modeled by an equivalent thermal network made of resistances and lumped capacitances. Simulations are performed for different sets of buildings typical of the Belgian residential building stock and are presented in terms of achievable modulation amplitude, deviations from the baseline and associated costs. A cluster of one hundred ideal buildings, corresponding to retrofitted freestanding houses, is then chosen to investigate the influence of each parameter defined within the service. Results show that with a set of one hundred heat pumps, a load aggregator could expect to harvest mean modulation amplitudes of up to 138 kW for an upward modulation and up to 51 kW for a downward modulation. The obtained values strongly depend on the proposed flexibility service. For example, they can decrease down to 2.6 kW and 0.4 kW, respectively, if no rebound effect is allowed. [less ▲]

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See detailAgent-based analysis of dynamic access ranges to the distribution network
Mathieu, Sébastien ULiege; Ernst, Damien ULiege; Cornélusse, Bertrand ULiege

in Proceedings of the 6th European Innovative Smart Grid Technologies (ISGT) (2017)

There is a need to clearly state an interaction model that formalizes interactions between actors of the distribution system exchanging flexibility. In previous works we quantitatively evaluated the ... [more ▼]

There is a need to clearly state an interaction model that formalizes interactions between actors of the distribution system exchanging flexibility. In previous works we quantitatively evaluated the performance of five interaction models devised with industrial partners using the agent-based testbed DSIMA. Simulation results showed that these interaction models relying on active network management suffer from a lack of coordination between the distribution and the transmission system operator, activating flexibility simultaneously in opposite directions. This paper introduces a new interaction model fixing this issue based on dynamic access bounds to the network changing throughout the day and preventing the activation of flexibility leading to congestions. This new interaction model is implemented in DSIMA and compared to a model restricting the grid users to a very restrictive but safe access range. Results show that this new model allows to safely increase by 55% the amount of distributed generation in the network. [less ▲]

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See detailDirect control service from residential heat pump aggregation with specified payback
Georges, Emeline ULiege; Cornélusse, Bertrand ULiege; Ernst, Damien ULiege et al

in Proceedings of the 19th Power Systems Computation Conference (PSCC) (2016, June)

This paper addresses the problem of an aggregator controlling residential heat pumps to offer a direct control flexibility service. The service is defined by a 15 minute power modulation, upward or ... [more ▼]

This paper addresses the problem of an aggregator controlling residential heat pumps to offer a direct control flexibility service. The service is defined by a 15 minute power modulation, upward or downward, followed by a payback of one hour and 15 minutes. The service modulation is relative to an optimized baseline that minimizes the energy costs. The potential amount of modulable power and the payback effect are computed by solving mixed integer linear problems. Within these problems, the building thermal behavior is modeled by an equivalent thermal network made of resistances and lumped capacitances whose parameters are identified from validated models. Simulations are performed on 100 freestanding houses. For an average 4.3 kW heat pump, results show a potential of 1.2 kW upward modulation with a payback of 600 Wh and 150 Wh of overconsumption. A downward modulation of 500 W per house can be achieved with a payback of 420 Wh and 120 Wh of overconsumption. [less ▲]

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See detailFlexibility services in the electrical system
Mathieu, Sébastien ULiege

Doctoral thesis (2016)

The work presented in this thesis considers the electrical flexibility from the electric load to its usage as a commodity. The conception of the European electrical system has led to a large amount of ... [more ▼]

The work presented in this thesis considers the electrical flexibility from the electric load to its usage as a commodity. The conception of the European electrical system has led to a large amount of actors that are impacted by flexibility exchanges. This thesis proposes approaches to assess the impact of exchanging flexibility in the electrical system and analyzes the complex interactions resulting from these exchanges. The modeling techniques used to carry the analysis are optimization, game theory and agent-based modeling. The impacts on different parts of the electrical system are presented: the day-ahead energy market, the secondary reserve and the distribution system. Since flexibility is the base block of this thesis, two methods to obtain flexibility from actual consumption processes are broached: direct control of the loads and dynamic pricing. One chapter provides an example of how flexibility can be obtained by the direct control of a portfolio of heat pumps and another chapter studies the control of electric heaters and boilers via the use of a simple price signal. [less ▲]

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See detailFlexibility services in the electrical system - presentation
Mathieu, Sébastien ULiege

Speech/Talk (2016)

This thesis assesses the impact of exchanging flexibility in the electrical system and analyzes the complex interactions that may result from these exchanges. The impacts on different parts of the ... [more ▼]

This thesis assesses the impact of exchanging flexibility in the electrical system and analyzes the complex interactions that may result from these exchanges. The impacts on different parts of the electrical system are presented: the day-ahead energy market, the secondary reserve and the distribution system. The modeling techniques used to carry the analysis are optimization, game theory and agent-based modeling. Since flexibility is the base block of this thesis, two methods to obtain flexibility from an actual consumption process are broached: direct control of a portfolio of heat pumps and dynamic pricing to control electric heaters and boilers. [less ▲]

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See detailResidential heat pumps as flexible loads for direct control service with constrained payback
Georges, Emeline ULiege; Cornélusse, Bertrand ULiege; Ernst, Damien ULiege et al

Conference (2016, January 26)

This paper addresses the problem of an aggregator controlling residential heat pumps to offer a direct control flexibility service. The service is defined by a 15 minute power modulation, upward or downward ... [more ▼]

This paper addresses the problem of an aggregator controlling residential heat pumps to offer a direct control flexibility service. The service is defined by a 15 minute power modulation, upward or downward, followed by a payback of one hour and 15 minutes. The service modulation is relative to an optimized baseline that minimizes the energy costs. The potential amount of modulable power and the payback effect are computed by solving mixed integer linear problems. Within these problems, the building thermal behavior is modeled by an equivalent thermal network made of resistances and lumped capacitances whose parameters are identified from validated models. Simulations are performed on 100 freestanding houses. For an average 4.3 kW heat pump, results show a potential of 1.2 kW upward modulation with a payback of 600 Wh and 150 Wh of overconsumption. A downward modulation of 500 W per house can be achieved with a payback of 420 Wh and 120 Wh of overconsumption. [less ▲]

Detailed reference viewed: 46 (6 ULiège)