A multi-objective market-driven framework for power matching in the smart grid

Azar, Armin Ghasem; Afsharchi, Mohsen; Davoodi, Mansoor; Bigham, Bahram Sadeghi

doi:10.1016/j.engappai.2018.02.003

Cited by 16 publications

(7 citation statements)

References 21 publications

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“…Evolutionary multi-objective market-driven optimization techniques have been in more use in recent studies [153]- [155]. Authors in [126], tackle the power matching problem with multi-objective market-driven optimization that focuses on the hourly participation of customers. e. Particle Swarm Optimization: Particle Swarm Optimization (PSO) was originally designed and introduced by Eberhart and Kennedy in [156], [157].…”

Section: Multi-market Drivenmentioning

confidence: 99%

Peer-to-Peer Energy Trading in Micro/Mini-Grids for Local Energy Communities: A Review and Case Study of Nepal

et al. 2019

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Energy Resources (DERs) are being integrated into the power market by customers rather than large scale energy suppliers, thereby slowly transforming the centralized, unidirectional market to a decentralized, bidirectional market and transitioning customers into prosumers. Various system architectures are used in the real field to coordinate the energy distribution in the micro/ mini-grids integrated with DERs, all of which have their strengths, weaknesses and challenges. Peer-to-peer (P2P) is an emerging architecture in the field of electrical energy trading and Distributed Generation (DG) management that can be applied in local energy markets. This paper focuses on P2P energy trading, with an in-depth discussion on its various operating algorithms, their principles, characteristics, features and scope through state of art review on P2P. Furthermore, the energy system of Nepal is used as a case study in this paper, and the micro/mini-grids of Nepal and their associated challenges, constraints and opportunities for improvement are discussed. Finally, an energy trading model is proposed to address the problems occurring in the specific case of Nepalese energy market.

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Section: Multi-market Drivenmentioning

confidence: 99%

Peer-to-Peer Energy Trading in Micro/Mini-Grids for Local Energy Communities: A Review and Case Study of Nepal

et al. 2019

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“…In addition, researchers in [104]- [109] also use EGT to simulate and analyze the strategic bidding behavior of power producers in competitive EMs or renewable portfolio standard. Moreover, researchers use EGT to model the electricity selling competition among multiple power producers [110], to model the peak-shaving behavior of thermal power plants [111] and the behavior of renewable energy power plants under the incentive mechanism [112], to model the supply-demand interaction (e.g., supplier-consumer interac-tion in an EM) of power systems [113]- [115], and to investigate the generation expansion planning under the background of EM [116].…”

Section: ) Power Dr Between Electricity User Side and Electricity Sumentioning

confidence: 99%

Game-Theoretic Approaches Applied to Transactions in the Open and Ever-Growing Electricity Markets From the Perspective of Power Demand Response: An Overview

Cheng

2019

IEEE Access

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This paper conducts a detailed overview on game-theoretic approaches for power demand response (DR) in the open and ever-growing electricity market (EM) in terms of three major categories of games, including non-cooperative game, cooperative game, and evolutionary game. In addition, we also separately review the Stackelberg game and Bayesian game in power DR. First, we briefly describe the main contents of game theory and the game behaviors of the electricity sellers, electricity suppliers, and electricity users in EM. Second, we comprehensively introduce the principle of the above-mentioned five categories of games and thoroughly review their applications in power DR in the context of open EMs, considering the transactions such as electricity pricing and electricity capacity trading among the electricity supplier side, electricity seller side, and electricity user side in the perfect open EMs, such as retail market, spot market, wholesale market, and ancillary service market. In this survey, aiming at each type of game mentioned above, we try to summarize the advantages and shortcomings of their application in EM in terms of power DR, as well as the issues that need to be solved currently or in the future. Finally, we offer some prospects on the scenario application and future development of game-theoretic approaches for power DR in an open EM. The biggest innovation of this paper lies in conducting a comprehensive survey on game-theoretic approaches applied to transactions in the open and ever-growing EMs from the perspective of power DR in terms of five major categories of games. We conduct this survey intended to arouse the interest and excitement of experts and scholars in the energy and electric power system industry and to look ahead to efforts that jointly promote the rapid development of game theory in the perfect open EM field.

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“…In the former, a centralized coordinator receives load demand scenarios accompanied with available flexibility of prosumers and attempts to match supply and demand according to peerto-peer energy sharing model with price-based demand response. Such approaches comprise a single-or multi-objective optimization model to reduce prosumers' electricity bills, flatten the aggregated peak demand, or maximize comfort level [5]- [11]. The main issues with the centralized approaches include having no guarantee in balancing demand and supply, nonscalability, unfair energy trading pricing, and prosumers' privacy violation.…”

Section: B Related Workmentioning

confidence: 99%

A Non-Cooperative Framework for Coordinating a Neighborhood of Distributed Prosumers

Azar

Nazaripouya

Khaki

et al. 2019

IEEE Trans. Ind. Inf.

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A multi-objective market-driven framework for power matching in the smart grid

Cited by 16 publications

References 21 publications

Peer-to-Peer Energy Trading in Micro/Mini-Grids for Local Energy Communities: A Review and Case Study of Nepal

Peer-to-Peer Energy Trading in Micro/Mini-Grids for Local Energy Communities: A Review and Case Study of Nepal

Game-Theoretic Approaches Applied to Transactions in the Open and Ever-Growing Electricity Markets From the Perspective of Power Demand Response: An Overview

A Non-Cooperative Framework for Coordinating a Neighborhood of Distributed Prosumers

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