As a promising solution to address the“energy trilemma”confronting human society,peer-to-peer(P2P)energy trading has emerged and rapidly developed in recent years.When carrying out P2P energy trading,customers with ...As a promising solution to address the“energy trilemma”confronting human society,peer-to-peer(P2P)energy trading has emerged and rapidly developed in recent years.When carrying out P2P energy trading,customers with distributed energy resources(DERs)are able to directly trade and share energy with each other.This paper summarizes and analyzes the global development of P2P energy trading based on a comprehensive review of related academic papers,research projects,and industrial practice.Key aspects in P2P energy trading are identified and discussed,including market design,trading platforms,physical infrastructure and information and communication technology(ICT)infrastructure,social science perspectives,and policy.For each key aspect,existing research and practice are critically reviewed and insights for future development are presented.Comprehensive concluding remarks are provided at the end,summarizing the major findings and perspectives of this paper.P2P energy trading is a growing field with great potential and opportunities for both academia and industry across the world.展开更多
随着分布式能源(distributed energy resources,DERs)以及需求侧柔性资源的广泛应用,城市园区微网系统(urban community microgrid system,UCMS)的架构、形态和运行方式将发生根本性改变,终端用户在微网中的身份将从传统的消费者转变为...随着分布式能源(distributed energy resources,DERs)以及需求侧柔性资源的广泛应用,城市园区微网系统(urban community microgrid system,UCMS)的架构、形态和运行方式将发生根本性改变,终端用户在微网中的身份将从传统的消费者转变为兼具能量生产与消费能力的产消者。通过建立端对端(peer-to-peer,P2P)能量交易机制,各个产消者之间可以在市场的引导下实现能量资源的协调优化,有效提升经济效益、供需平衡以及可再生能源就地消纳等UCMS全局效用。为此,分别从交易机制、运营策略以及建模分析3个角度,对城市园区微网系统P2P能量交易技术的研究现状进行了分析,希望能够对未来UCMS市场化运营提供一定的思考和借鉴。展开更多
This paper proposes an adaptive segmentation method as a market clearing mechanism for peer-to-peer(P2P)energy trading scheme with large number of market players.In the proposed method,market players participate in th...This paper proposes an adaptive segmentation method as a market clearing mechanism for peer-to-peer(P2P)energy trading scheme with large number of market players.In the proposed method,market players participate in the market by announcing their bids.In the first step,players are assigned to different segments based on their features,where the balanced k-means clustering method is implemented to form segments.These segments are formed based on the similarity between players,where the amount of energy for trade and its corresponding price are considered as features of players.In the next step,a distributed method is employed to clear the market in each segment without any need to private information of players.The novelty of this paper relies on developing an adaptive algorithm for dividing large number of market players into multiple segments to enhance scalability of the P2P trading by reducing data exchange and communication overheads.The proposed approach can be used along with any distributed method for market clearing.In this paper,two different structures including community-based market and decentralized bilateral trading market are used to demonstrate the efficacy of the proposed method.Simulation results show the beneficial properties of the proposed segmentation method.展开更多
基金the Horizon 2020 project P2P-SmarTest,EPSRC Supergen Hub on Energy Networks(EP/S00078X/1)and MISTRAL(EP/N017064/1).
文摘As a promising solution to address the“energy trilemma”confronting human society,peer-to-peer(P2P)energy trading has emerged and rapidly developed in recent years.When carrying out P2P energy trading,customers with distributed energy resources(DERs)are able to directly trade and share energy with each other.This paper summarizes and analyzes the global development of P2P energy trading based on a comprehensive review of related academic papers,research projects,and industrial practice.Key aspects in P2P energy trading are identified and discussed,including market design,trading platforms,physical infrastructure and information and communication technology(ICT)infrastructure,social science perspectives,and policy.For each key aspect,existing research and practice are critically reviewed and insights for future development are presented.Comprehensive concluding remarks are provided at the end,summarizing the major findings and perspectives of this paper.P2P energy trading is a growing field with great potential and opportunities for both academia and industry across the world.
文摘随着分布式能源(distributed energy resources,DERs)以及需求侧柔性资源的广泛应用,城市园区微网系统(urban community microgrid system,UCMS)的架构、形态和运行方式将发生根本性改变,终端用户在微网中的身份将从传统的消费者转变为兼具能量生产与消费能力的产消者。通过建立端对端(peer-to-peer,P2P)能量交易机制,各个产消者之间可以在市场的引导下实现能量资源的协调优化,有效提升经济效益、供需平衡以及可再生能源就地消纳等UCMS全局效用。为此,分别从交易机制、运营策略以及建模分析3个角度,对城市园区微网系统P2P能量交易技术的研究现状进行了分析,希望能够对未来UCMS市场化运营提供一定的思考和借鉴。
文摘This paper proposes an adaptive segmentation method as a market clearing mechanism for peer-to-peer(P2P)energy trading scheme with large number of market players.In the proposed method,market players participate in the market by announcing their bids.In the first step,players are assigned to different segments based on their features,where the balanced k-means clustering method is implemented to form segments.These segments are formed based on the similarity between players,where the amount of energy for trade and its corresponding price are considered as features of players.In the next step,a distributed method is employed to clear the market in each segment without any need to private information of players.The novelty of this paper relies on developing an adaptive algorithm for dividing large number of market players into multiple segments to enhance scalability of the P2P trading by reducing data exchange and communication overheads.The proposed approach can be used along with any distributed method for market clearing.In this paper,two different structures including community-based market and decentralized bilateral trading market are used to demonstrate the efficacy of the proposed method.Simulation results show the beneficial properties of the proposed segmentation method.
