Publications of Bertrand Cornélusse
Bookmark and Share    
Full Text
See detailA New Approach to Electricity Market Clearing With Uniform Purchase Price and Curtailable Block Orders
Savelli, Iacopo; Cornélusse, Bertrand ULiege; Giannitrapani, Antonio et al

in Applied Energy (2018), Volume 226

Detailed reference viewed: 42 (3 ULiège)
Full Text
See detailBlockchain for peer-to-peer energy exchanges: Probabilistic approach of Proof of Stake
Vangulick, David ULiege; Cornélusse, Bertrand ULiege; Ernst, Damien ULiege

in CIRED WORKSHOP 2018 (2018, June 07)

Energy communities and peer-to-peer energy exchanges are expected to play an important role in the energy transition. In this context, the blockchain approach can be employed to foster this decentralized ... [more ▼]

Energy communities and peer-to-peer energy exchanges are expected to play an important role in the energy transition. In this context, the blockchain approach can be employed to foster this decentralized energy market. In the paper fro PSCC, we evaluated several designs that should allow a Distribution System Operator (DSO) to accept peer-to-peer energy exchanges supported by this technology. This acceptance is based on criteria such as a strong link with the wholesale/retail market, the resilience of the consensus to approve a block, the accuracy, traceability, privacy and security of the proposed schemes. We concluded that proof-of stake (PoS), where the choice of a node that creates a block is based on a measure of its wealth, is the only method to fulfill these requirements. In the present paper, we clarify the identification and estimation of bidding models to ensure that the PoS that we are developing is a correct response to two major issues with the PoS methodology, namely the concentration of wealth and the ”nothing to stake” issue. [less ▲]

Detailed reference viewed: 62 (2 ULiège)
Full Text
See detailBlockchain for peer-to-peer energy exchanges: design and recommendations (additional work)
Vangulick, David ULiege; Cornélusse, Bertrand ULiege; Ernst, Damien ULiege

in CIRED Workshop 2018 Ljubljana, Slovania (2018, June 07)

Energy communities and peer-to-peer energy exchanges are expected to play an important role in the energy transition. In this context, the blockchain approach can be employed to foster this decentralized ... [more ▼]

Energy communities and peer-to-peer energy exchanges are expected to play an important role in the energy transition. In this context, the blockchain approach can be employed to foster this decentralized energy market. Our goal is to determine the design that should allow a Distribution System Operator (DSO) to accept peer-to-peer energy exchanges based on a distributed ledger supported by the blockchain technology. To this end, we evaluate several designs based on criteria such as the acceptance of the wholesale/retail market, the resilience of the consensus to approve a block, the accuracy, traceability, privacy and security of the proposed schemes. [less ▲]

Detailed reference viewed: 191 (19 ULiège)
Full Text
See detailOptimal operation and fair profit allocation in community microgrids
Cornélusse, Bertrand ULiege; Ernst, Damien ULiege; Lachi, Simon

in Proceedings of CIRED Workshop 2018 (2018, June)

This work fits in the context of community migrogrids, where entities of a community can exchange energy and services among them without going through the usual channels of the public grid. We propose and ... [more ▼]

This work fits in the context of community migrogrids, where entities of a community can exchange energy and services among them without going through the usual channels of the public grid. We propose and analyze solutions methods to operate a community and to share the profit gained by the community between the entities forming the community, especially when the cost and revenues originate from different streams. [less ▲]

Detailed reference viewed: 205 (19 ULiège)
Full Text
See detailBlockchain for peer-to-peer energy exchanges: design and recommendations
Vangulick, David ULiege; Cornélusse, Bertrand ULiege; Ernst, Damien ULiege

in Proceedings of the XX Power Systems Computation Conference (PSCC2018) (2018, June)

Energy communities and peer-to-peer energy exchanges are expected to play an important role in the energy transition. In this context, the blockchain approach can be employed to foster this decentralized ... [more ▼]

Energy communities and peer-to-peer energy exchanges are expected to play an important role in the energy transition. In this context, the blockchain approach can be employed to foster this decentralized energy market. Our goal is to determine the design that should allow a Distribution System Operator (DSO) to accept peer-to-peer energy exchanges based on a distributed ledger supported by the blockchain technology. To this end, we will evaluate several designs based on criteria such as acceptance of the wholesale/retail market, the resilience of the consensus to approve a block, the accuracy, traceability, privacy and security of the proposed schemes. [less ▲]

Detailed reference viewed: 747 (29 ULiège)
Full Text
See detailReal-Time Bidding Strategies from Micro-Grids Using Reinforcement Learning
Boukas, Ioannis ULiege; Ernst, Damien ULiege; Cornélusse, Bertrand ULiege

in Proceedings of CIRED Workshop 2018 (2018, June)

We address the problem faced by the operator of a microgrid participating in a continuous real-time market. The microgrid consists of distributed generation, flexible loads and a storage device. The goal ... [more ▼]

We address the problem faced by the operator of a microgrid participating in a continuous real-time market. The microgrid consists of distributed generation, flexible loads and a storage device. The goal of the microgrid operator is the maximization of the profits over the entire trading horizon, while taking into account operational constraints. The variability of the Renewable Energy Sources (RES) is considered and the energy trading is modeled as a Markov Decision Process. The problem is solved using reinforcement learning (RL). The resulting optimal real time bidding strategy of a microgrid is discussed. [less ▲]

Detailed reference viewed: 363 (42 ULiège)
Full Text
See detailIntra-day Bidding Strategies for Storage Devices Using Deep Reinforcement Learning
Boukas, Ioannis ULiege; Ernst, Damien ULiege; Papavasiliou, Anthony et al

in International Conference on the European Energy Market, Łódź 27-29 June 2018 (2018, June)

The problem faced by the operator of a storage device participating in a continuous intra-day (CID) market is addressed in this paper. The goal of the storage device operator is the maximization of the ... [more ▼]

The problem faced by the operator of a storage device participating in a continuous intra-day (CID) market is addressed in this paper. The goal of the storage device operator is the maximization of the cumulative rewards received over the entire trading horizon, while taking into account operational constraints. The energy trading is modeled as a Partially Observable Markov Decision Process. An equivalent state representation and high-level actions are proposed in order to tackle the variable number of the existing orders in the order book. The problem is solved using deep reinforcement learning (RL). Preliminary results indicate that the agent converges to a policy that scores higher total revenues than the ``rolling intrinsic''. [less ▲]

Detailed reference viewed: 419 (82 ULiège)
Full Text
See detailIntroducing Block Orders in the Italian Day-Ahead Electricity Market
Savelli, Iacopo; Cornélusse, Bertrand ULiege; Giannitrapani, Antonio et al

in Proceedings of the 15th international conference on the European Energy Market, Lodz 27-29 June 2018 (2018, June)

Detailed reference viewed: 45 (4 ULiège)
Full Text
See detailDesign and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime
Li, Jianwei ULiege; Xiong, Riu; Mu, Hao et al

in Applied Energy (2018), 218

This study proposes a hybrid energy storage system (HESS) composed of the superconducting energy storage system (SMES) and the battery. The system is designed to compensate power fluctuations within a ... [more ▼]

This study proposes a hybrid energy storage system (HESS) composed of the superconducting energy storage system (SMES) and the battery. The system is designed to compensate power fluctuations within a microgrid. A novel control method is developed to share the instantaneous power between the SMES and the battery. The new control scheme takes into account the characteristics of the components of the HESS, and the battery charges and discharges as a function of the SMES current rather than directly to the power disturbances. In this way, the battery is protected from the abrupt power changes and works as an energy buffer to the SMES. An new hardware-in-loop experiment approach is introduced by integrating a real-time digital simulator (RTDS) with a control circuit to verify the proposed hybrid scheme and the new control method. This paper also presents a battery lifetime prediction method to quantify the benefits of the HESS in the microgrid. A much better power sharing between the SMES and the battery can be observed from the experimental results with the new control method. Moreover, compared to the battery only system the battery lifetime is quantifiably increased from 6.38 years to 9.21 years. [less ▲]

Detailed reference viewed: 52 (8 ULiège)
Full Text
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 ▲]

Detailed reference viewed: 481 (43 ULiège)
Full Text
See detailOptimization and machine learning for smart-microgrids
Cornélusse, Bertrand ULiege

Conference (2017, September 06)

Detailed reference viewed: 82 (10 ULiège)
Full Text
See detailEfficient management of a connected microgrid in Belgium
Cornélusse, Bertrand ULiege; Ernst, Damien ULiege; Warichet, Luc et al

in Proceedings of the 24th International Conference on Electricity Distribution, Glasgow, 12-15 June 2017 (2017, June)

Detailed reference viewed: 1446 (54 ULiège)
Full Text
See detailE-CLOUD, the open microgrid in existing network infrastructure
Vangulick, David ULiege; Cornélusse, Bertrand ULiege; Vanherck, Thierry et al

in Proceedings of the 24th International Conference on Electricity Distribution (2017, June)

The main goal of the E-Cloud, as with every microgrid, is to maximize the consumption of energy produced locally. To reach this goal, based on consumption profiles of customers willing to participate in ... [more ▼]

The main goal of the E-Cloud, as with every microgrid, is to maximize the consumption of energy produced locally. To reach this goal, based on consumption profiles of customers willing to participate in the E-cloud and given some local restrictions (e.g. wind turbines cannot be put everywhere), an optimal mix of green generation sources (in kW) and local storage (in kWh) needs to be computed. Then according to this computation, the required generating units and storage device are installed. A repartition mechanism grants the customer a share of the generated electricity and storage capacity. These shares are either computed offline, or dynamically adapted on line. The project will test two models: either the DSO or a producer owns and operates the storage device. Two flows of information (real-time for operation of the storage facility and ex-post for its settlement) are needed to correctly manage the E-Cloud and to ensure correct information exchange with the wholesale market. These information flows are completed thanks to a forecast that provides members of the E-Cloud the full capability to anticipate and obtain the maximum benefits of the local generation. The expected benefits for the customer are a reduction of their electricity bill by a minimum of 10%. Societal benefits should also arise: 1) easing the technical integration of renewables’ generation embedded in the distribution network, and 2) avoids extra investment on the DSO network. The E-Cloud may also ensure new revenue for the DSO thanks to new services provided to the E-Cloud community. [less ▲]

Detailed reference viewed: 339 (15 ULiège)
Full Text
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 ▲]

Detailed reference viewed: 761 (74 ULiège)
Full Text
See detailGREDOR. Outcomes and recommendations
Cornélusse, Bertrand ULiege; Ernst, Damien ULiege

Report (2017)

Detailed reference viewed: 409 (8 ULiège)
Full Text
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 ▲]

Detailed reference viewed: 405 (18 ULiège)
Full Text
See detailA SC/battery Hybrid Energy Storage System in the Microgrid
Li, Jianwei ULiege; Cornélusse, Bertrand ULiege; Vanderbemden, Philippe ULiege et al

in Energy Procedia (2017), 142

The major challenges in power systems are driven by the energy shortage and environmental concerns, namely facilitating the penetration of renewable energy and improving the efficiency of the renewable ... [more ▼]

The major challenges in power systems are driven by the energy shortage and environmental concerns, namely facilitating the penetration of renewable energy and improving the efficiency of the renewable powers. Due to the variable nature of renewables, the generated power profile may not be able to match the load requirement. Accordingly, much attention has been focused on the development of energy storage technologies to guarantee renewable power penetrations. Recently, advances in the supercapacitor (SC) have made the SC and battery hybrid energy storage systems (HESS) technically attractive. Compared with other energy storage technologies the principal advantages of SC are: the high power density, high cycling life, and high peak current handling capacities. However, SC is also deficient in low energy density. The battery is characterised by large energy density but low in power capacity. In the microgrid systems, high-frequency power fluctuations will cause a significant degree of battery power cycling. This, in turn, has been shown to lead to a significant reduction in battery service life. Therefore, the concept of the SC and battery hybrid scheme is proposed. A case study of the HESS based on a microgrid is introduced in this paper. A simplified microgrid system is established to test the performance of the proposed design. [less ▲]

Detailed reference viewed: 157 (12 ULiège)
Full Text
See detailActive network management for electrical distribution systems: problem formulation, benchmark, and approximate solution
Gemine, Quentin ULiege; Ernst, Damien ULiege; Cornélusse, Bertrand ULiege

in Optimization and Engineering (2016), 18(3), 587-629

With the increasing share of renewable and distributed generation in electrical distribution systems, active network management (ANM) becomes a valuable option for a distribution system operator to ... [more ▼]

With the increasing share of renewable and distributed generation in electrical distribution systems, active network management (ANM) becomes a valuable option for a distribution system operator to operate his system in a secure and cost-effective way without relying solely on network reinforcement. ANM strategies are short-term policies that control the power injected by generators and/or taken off by loads in order to avoid congestion or voltage issues. While simple ANM strategies consist in curtailing temporary excess generation, more advanced strategies rather attempt to move the consumption of loads to anticipated periods of high renewable generation. However, such advanced strategies imply that the system operator has to solve large-scale optimal sequential decision-making problems under uncertainty. The problems are sequential for several reasons. For example, decisions taken at a given moment constrain the future decisions that can be taken, and decisions should be communicated to the actors of the system sufficiently in advance to grant them enough time for implementation. Uncertainty must be explicitly accounted for because neither demand nor generation can be accurately forecasted. We first formulate the ANM problem, which in addition to be sequential and uncertain, has a nonlinear nature stemming from the power flow equations and a discrete nature arising from the activation of power modulation signals. This ANM problem is then cast as a stochastic mixed-integer nonlinear program, as well as second-order cone and linear counterparts, for which we provide quantitative results using state of the art solvers and perform a sensitivity analysis over the size of the system, the amount of available flexibility, and the number of scenarios considered in the deterministic equivalent of the stochastic program. To foster further research on this problem, we make available at http://www.montefiore.ulg.ac.be/~anm/ three test beds based on distribution networks of 5, 33, and 77 buses. These test beds contain a simulator of the distribution system, with stochastic models for the generation and consumption devices, and callbacks to implement and test various ANM strategies. [less ▲]

Detailed reference viewed: 1023 (98 ULiège)
Full Text
See detailA Gaussian mixture approach to model stochastic processes in power systems
Gemine, Quentin ULiege; Cornélusse, Bertrand ULiege; Glavic, Mevludin ULiege et al

in Proceedings of the 19th Power Systems Computation Conference (PSCC'16) (2016, June)

Probabilistic methods are emerging for operating electrical networks, driven by the integration of renewable generation. We present an algorithm that models a stochastic process as a Markov process using ... [more ▼]

Probabilistic methods are emerging for operating electrical networks, driven by the integration of renewable generation. We present an algorithm that models a stochastic process as a Markov process using a multivariate Gaussian Mixture Model, as well as a model selection technique to search for the adequate Markov order and number of components. The main motivation is to sample future trajectories of these processes from their last available observations (i.e. measurements). An accurate model that can generate these synthetic trajectories is critical for applications such as security analysis or decision making based on lookahead models. The proposed approach is evaluated in a lookahead security analysis framework, i.e. by estimating the probability of future system states to respect operational constraints. The evaluation is performed using a 33-bus distribution test system, for power consumption and wind speed processes. Empirical results show that the GMM approach slightly outperforms an ARMA approach. [less ▲]

Detailed reference viewed: 179 (49 ULiège)
Full Text
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 ▲]

Detailed reference viewed: 200 (37 ULiège)