References of "Cornélusse, Bertrand"
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See detailSensitivity Analysis of a Local Market Model for Community Microgrids
Duchesne, Laurine ULiege; Savelli, Iacopo; Cornélusse, Bertrand ULiege

in PowerTech Milano 2019 Proceedings (2019, June)

A community microgrid is a collection of entities that can share energy among themselves. By using the community, participants can match their demand and supply through an internal local market with a ... [more ▼]

A community microgrid is a collection of entities that can share energy among themselves. By using the community, participants can match their demand and supply through an internal local market with a significant reduction of the exchanges with the main grid. As a consequence, each participant can benefit from a reduction of its energy costs, a drop of the energy peak demanded from the main grid, and the new capability to provide energy reserve at aggregate level. In this paper, we analyze how the changes of the community market model parameters can affect both the community as a whole, and the welfare of each participants. The analysis is performed by varying the main drivers of the community market model, which are represented by community and storage tariffs, and storage capacity. The numerical results are obtained by using real data based on the MeryGrid project. [less ▲]

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See detailSizing and Operation of an Isolated Microgrid with Cold Storage
Dakir, Selmane ULiege; Boukas, Ioannis ULiege; Lemort, Vincent ULiege et al

Scientific conference (2019, June)

Due to the technological developments and the advances of smart control, intermittent production from renewable energy sources can be better exploited locally in the context of a smart microgrid. Energy ... [more ▼]

Due to the technological developments and the advances of smart control, intermittent production from renewable energy sources can be better exploited locally in the context of a smart microgrid. Energy storage has a key role in achieving this task and batteries are the most suitable candidate. In this paper, a complementary solution is presented where excess electricity is used in a cold storage to produce ice which, when melting, supplies the cooling demand. A detailed model of each component is considered in order to simulate the operation of the entire system. The goal of this paper is the derivation of the optimal size of the different components to yield the minimum levelized cost of electricity. The methodology described is applied to a real case study in Marrakesh, and results illustrate that cold storage is able to reduce the total cost of energy in the context of an isolated microgrid. [less ▲]

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See detailBlockchain: A novel approach for the consensus algorithm using Condorcet Voting procedure
Vangulick, David ULiege; Cornélusse, Bertrand ULiege; Ernst, Damien ULiege

in Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures (2019, April)

The blockchain technology allows interested parties to access a common register, the update, and integrity of which are collectively managed in a decentralized manner by a network of actors. It is the ... [more ▼]

The blockchain technology allows interested parties to access a common register, the update, and integrity of which are collectively managed in a decentralized manner by a network of actors. It is the consensus protocol that ensures a common and unambiguous update of transactions by creating blocks of transactions for which integrity, veracity, and consistency are guaranteed through geographically distributed nodes. Bitcoin, the first popular blockchain concept, introduced the Proof of Work consensus based on work validation, and has been extended to thousands of participants. Despite its success and its large use in other crypto-currencies, Proof of Work’s disadvantages are a high latency, a low transaction rate, and a high energy expenditure, making it a less-than-perfect choice for many applications. In addition the validation of transactions is not carried out with a definite temporality. For Bitcoin, it takes on average 10 minutes to create a block. However, for certain use cases such as auctions or the exchange of energy, there is a need for this temporality. The purpose of this article is to propose a new type of consensus that is faster, less energy-consuming and that can be synchronized with a time reference. The core of the reflection is the use of the Condorcet voting mechanism to determine the miner. [less ▲]

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See detailA community microgrid architecture with an internal local market
Cornélusse, Bertrand ULiege; Savelli, Iacopo; Paoletti, Simone et al

in Applied Energy (2019), 242

This work fits in the context of community microgrids, where members of a community can exchange energy and services among themselves, without going through the usual channels of the public electricity ... [more ▼]

This work fits in the context of community microgrids, where members of a community can exchange energy and services among themselves, without going through the usual channels of the public electricity grid. We introduce and analyze a framework to operate a community microgrid, and to share the resulting revenues and costs among its members. A market-oriented pricing of energy exchanges within the community is obtained by implementing an internal local market based on the marginal pricing scheme. The market aims at maximizing the social welfare of the community, thanks to the more efficient allocation of resources, the reduction of the peak power to be paid, and the increased amount of reserve, achieved at an aggregate level. A community microgrid operator, acting as a benevolent planner, redistributes revenues and costs among the members, in such a way that the solution achieved by each member within the community is not worse than the solution it would achieve by acting individually. In this way, each member is incentivized to participate in the community on a voluntary basis. The overall framework is formulated in the form of a bilevel model, where the lower level problem clears the market, while the upper level problem plays the role of the community microgrid operator. Numerical results obtained on a real test case implemented in Belgium show around 54% cost savings on a yearly scale for the community, as compared to the case when its members act individually. [less ▲]

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See detailA Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding
Boukas, Ioannis ULiege; Ernst, Damien ULiege; Théate, Thibaut ULiege et al

E-print/Working paper (2019)

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See detailClassification of load forecasting studies by forecasting problem to select load forecasting techniques and methodologies
Dumas, Jonathan ULiege; Cornélusse, Bertrand ULiege

E-print/Working paper (2018)

This article proposes a two-dimensional classification methodology to select the relevant forecasting tools developed by the scientific community based on a classification of load forecasting studies. The ... [more ▼]

This article proposes a two-dimensional classification methodology to select the relevant forecasting tools developed by the scientific community based on a classification of load forecasting studies. The inputs of the classifier are the articles of the literature and the outputs are articles classified into categories. The classification process relies on two couple of parameters that defines a forecasting problem. The temporal couple is the forecasting horizon and the forecasting resolution. The system couple is the system size and the load resolution. Each article is classified with key information about the dataset used and the forecasting tools implemented: the forecasting techniques (probabilistic or deterministic) and methodologies, the cleansing data techniques and the error metrics. This process is illustrated by reviewing and classifying thirty-four articles. [less ▲]

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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

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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 ▲]

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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 ▲]

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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)

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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 ▲]

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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 ▲]

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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 ▲]

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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 ▲]

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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 ▲]

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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 detailOptimization and machine learning for smart-microgrids
Cornélusse, Bertrand ULiege

Conference (2017, September 06)

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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)

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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 ▲]

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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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