Energy-Sharing Model With Price-Based Demand Response for Microgrids of Peer-to-Peer Prosumers

By Nian Liu, Xinghuo Yu, Cheng Wang, Chaojie Li, Li Ma, J. Lei. IEEE Transactions on Power Systems, 2017

741 citations recorded by the source corpus.

According to the feed-in tariff for encouraging local consumption of photovoltaic (PV) energy, the energy sharing among neighboring PV prosumers in the microgrid could be more economical than the independent operation of prosumers. For microgrids of peer-to-peer PV prosumers, an energy-sharing model with price-based demand response is proposed. First, a dynamical internal pricing model is formulated for the operation of energy-sharing zone, which is defined based on the supply and demand ratio (SDR) of shared PV energy. Moreover, considering the energy consumption flexibility of prosumers, an equivalent cost model is designed in terms of economic cost and users’ willingness. As the internal prices are coupled with SDR in the microgrid, the algorithm and implementation method for solving the model is designed on a distributed iterative way. Finally, through a practical case study, the effectiveness of the method is verified in terms of saving PV prosumers’ costs and improving the sharing of the PV energy.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b0bec01f8b7662c30945126a9d2026bff940e455

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In Control and Systems Engineering

1. Qiuwei Wu
2. H. Jia
3. Xiaolong Jin
4. Chau Yuen
5. Wayes Tushar
6. Tapan Kumar Saha
7. H. Vincent Poor
8. C. Long

In Electrical and Electronic Engineering

1. Chau Yuen
2. H. Jia
3. Xiaolong Jin
4. H. Vincent Poor
5. Qiuwei Wu
6. Wayes Tushar
7. Tapan Kumar Saha
8. C. Long

Citations in the corpus

• Blockchain Based Decentralized Management of Demand Response Programs in Smart Energy Grids (2018, methodology): “A decentralized price based DR system is presented in [20].”
• A novel decentralized platform for peer-to-peer energy trading market with blockchain technology (2021, background): “A similar work is presented in [25] where an energy sharing structure, also without bidding capabilities, is managed by a central energy sharing agent that sells/buys energy to/from prosumers depending on their local PV generation capacity.”
• A Motivational Game-Theoretic Approach for Peer-to-Peer Energy Trading in the Smart Grid (2019, background): “[17] proposes an energy sharing model with price-based demand response for the peer-to-peer network within a microgrid.”
• Designing Decentralized Markets for Distribution System Flexibility (2019, background): “[21]–[24], mean-field game theory [25]–[27] and Stackelberg leader-follower games [28]–[31].”
• Energy Collectives: A Community and Fairness Based Approach to Future Electricity Markets (2019, neutral): “, [13]–[16].”
• Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework (2018, methodology): “Although prosumers have been considered with demand response capabilities in some P2P energy sharing studies [17] and retailers have been considered to exercise demand response measures in some other studies without P2P energy sharing considerations [32,35,36], there have been no known studies in wh”
• Bilateral Contract Networks for Peer-to-Peer Energy Trading (2019, background): “The designs in [20]–[23] assume there is a large upstream wholesale market/supplier, which buys/sells energy at fixed prices.”
• State-of-the-Art Analysis and Perspectives for Peer-to-Peer Energy Trading (2020, methodology): “[59] proposed a P2P energy sharing model with a pricebased demand response for microgrids, in which a dynamic internal pricing model based on the supply-and-demand ratio was developed.”
• Peer-to-Peer energy trading in a Microgrid (2018, methodology): “In [9], an energy sharing model with price-based demand response was proposed.”
• Local flexibility markets: Literature review on concepts, models and clearing methods (2020, background): “[178] Liu N, Yu X, Wang C, Li C, Ma L, Lei J.”
• Peer-to-peer and community-based markets: A comprehensive review (2018, background): “The works in [29, 41, 42] have substantially explored the technological promises brought by microgrids to propose P2P market solutions.”
• Peer-to-Peer Energy Trading in a Prosumer-Based Community Microgrid: A Game-Theoretic Model (2019, methodology): “The generation and load profiles of each prosumer in the community are taken from [20].”