Stochastic Transactive Control for Electric Vehicle Aggregators Coordination: A Decentralized Approximate Dynamic Programming Approach

Pan, Zhenning; Yu, Tao; Li, Jie; Qu, Kaiping; Chen, Lvpeng; Yang, Bo; Guo, Weisi

doi:10.1109/tsg.2020.2992863

“…Incentives & Non-convex ility constraint satisfaction strategic behavior models [5], [13] [14], [15], [16], [17] [18] - [20] [23] - [25] [26] - [28] This work convex community energy management problem with (global) resource constraints. We test the proposed method on a particular case study and conduct simulations to assess its performance with respect to all four of the above requirements.…”

Section: Scalab-efficiency and Globalmentioning

confidence: 99%

Transactive Energy for Flexible Prosumers Using Algorithmic Game Theory

Τσαούσογλου¹,

Paterakis²

2021

Preprint

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<div>In modern smart grids, the focus is increasingly shifted towards distributed energy resources and flexible electricity assets owned by prosumers. A system with high penetration of flexible prosumers, has a very large number of variables and constraints, while a lot of the information is local and non-observable. Decomposition methods and local problem solving is considered a promising approach for such settings, particularly when the implementation of a decomposition method features a market-based analogy, i.e. it can be implemented in a Transactive Energy fashion.</div><div>In this paper we present an auction-theoretic scheme for a setting with non-convex prosumer models and resource constraints. The scheme is evaluated on a particular case study and its scalability and efficiency properties are tested and compared to an optimal benchmark solution. A game-theoretic analysis is made with respect to how an intelligent agent, that bids on behalf of a prosumer can try to strategize within the auction, in order to make itself better-off. Our simulations show that there is an alignment of incentives, i.e., when the prosumers try to strategize, they actually improve the auction's efficiency. </div>

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“…In this paper, we draw on concepts of algorithmic game theory and propose an auction-theoretic solution for a non- [5], [13] [14], [15], [16], [17] [18] - [20] [23] - [25] [26] - [28] This work convex community energy management problem with (global) resource constraints. We test the proposed method on a particular case study and conduct simulations to assess its performance with respect to all four of the above requirements.…”

Section: Contributions and Organizationmentioning

confidence: 99%

Transactive Energy for Flexible Prosumers Using Algorithmic Game Theory

Τσαούσογλου¹,

Paterakis²

2021

Preprint

0

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<div>In modern smart grids, the focus is increasingly shifted towards distributed energy resources and flexible electricity assets owned by prosumers. A system with high penetration of flexible prosumers, has a very large number of variables and constraints, while a lot of the information is local and non-observable. Decomposition methods and local problem solving is considered a promising approach for such settings, particularly when the implementation of a decomposition method features a market-based analogy, i.e. it can be implemented in a Transactive Energy fashion.</div><div>In this paper we present an auction-theoretic scheme for a setting with non-convex prosumer models and resource constraints. The scheme is evaluated on a particular case study and its scalability and efficiency properties are tested and compared to an optimal benchmark solution. A game-theoretic analysis is made with respect to how an intelligent agent, that bids on behalf of a prosumer can try to strategize within the auction, in order to make itself better-off. Our simulations show that there is an alignment of incentives, i.e., when the prosumers try to strategize, they actually improve the auction's efficiency. </div>

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“…The upper and lower boundaries of energy reflect the adjustable characteristics of the EV [15]. When tout > tlimit, it means that this EV can be used as an adjustable load to participate in BEMS scheduling, and only needs to meet the power constraints and energy constraints requirements at each time t [15,16]:…”

Section: ) Constraints Of Evmentioning

confidence: 99%

“…The charging model of a single EV in the cluster can be superimposed to obtain an equivalent cluster model. The correctness of this method can be proved in the reference [15,16].…”

Section: ) Constraints Of Evmentioning

confidence: 99%

Stochastic Dynamic Programming-Based Online Algorithm for Energy Management of Integrated Energy Buildings With Electric Vehicles and Flexible Thermal Loads

Cheng

¹

,

Cheng

²

,

Li

³

et al. 2021

IEEE Access

Self Cite

7

0

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With the rapid development of economy and technology, large-scale integrated energy buildings account for an increasing proportion of urban load. However, the randomness of EV owner behaviors, electricity price and outdoor temperature have brought challenges to the energy management of integrated energy buildings. This paper proposes a stochastic dynamic programming-based online algorithm to address the energy management of integrated energy buildings with electric vehicles and flexible thermal loads under multivariate uncertainties. First, an online energy management framework is established, which is further formulated as a multi-stage stochastic sequential decision-making problem. To address the complexities of the problem, a novel stochastic dynamic programming is employed to develop a distributionfree, computationally efficient, and scalable solution. By using extensive training samples, the algorithm is trained offline to learn how to deal with multivariate uncertainties and get the approximate optimal solution, which no longer depends on intraday forecast information. Numerical tests demonstrate the effectiveness of the proposed algorithm compared with other online algorithms in terms of optimality and computation efficiency.INDEX TERMS Stochastic dynamic programming, online algorithm, energy management, integrated energy building, multivariate uncertainties

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Stochastic Transactive Control for Electric Vehicle Aggregators Coordination: A Decentralized Approximate Dynamic Programming Approach

Cited by 43 publications

References 35 publications

Transactive Energy for Flexible Prosumers Using Algorithmic Game Theory

Transactive Energy for Flexible Prosumers Using Algorithmic Game Theory

Transactive Energy for Flexible Prosumers Using Algorithmic Game Theory

Stochastic Dynamic Programming-Based Online Algorithm for Energy Management of Integrated Energy Buildings With Electric Vehicles and Flexible Thermal Loads

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