An ADMM Approach for Day-Ahead Scheduling of a Local Energy Community

Orozco, Camilo; Lilla, S.; Borghetti, Alberto; Napolitano, Fabio; Tossani, Fabio

doi:10.1109/ptc.2019.8810578

“…However, the local cost functions of the prosumers are assumed to be convex. In [15] the ADMM approach is applied to a system with non-convex models, although in this case the satisfaction of global constraints is not guaranteed.…”

Section: B Related Workmentioning

confidence: 99%

“…Incentives & Non-convex ility constraint satisfaction strategic behavior models [5], [13] [14], [15], [16], [17] [18] - [20] [23] - [25] [26] - [28] This work also considered. However, these studies also assume convex local cost functions of prosumers and their flexibility assets.…”

Section: Scalab-efficiency and Globalmentioning

confidence: 99%

Transactive Energy for Flexible Prosumers Using Algorithmic Game Theory

Τσαούσογλου

¹

,

Paterakis

²

2021

IEEE Trans. Sustain. Energy

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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 nonobservable. 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. 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.

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“…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>

show abstract

“…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

View full text Add to dashboard Cite

<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>

show abstract

An ADMM Approach for Day-Ahead Scheduling of a Local Energy Community

Cited by 16 publications

References 10 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

Transactive Energy for Flexible Prosumers Using Algorithmic Game Theory

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