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

Nian Liu; Xinghuo Yu; Cheng Wang; Chaojie Li; Li Ma; Jinyong Lei

doi:10.1109/TPWRS.2017.2649558

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

Nian Liu
, Xinghuo Yu
, Cheng Wang
, Chaojie Li
, Li Ma
, Jinyong Lei

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

873 Citations (Scopus)

Abstract

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. © 1969-2012 IEEE.

Original language	English
Article number	7809095
Pages (from-to)	3569-3583
Journal	IEEE Transactions on Power Systems
Volume	32
Issue number	5
DOIs	https://doi.org/10.1109/TPWRS.2017.2649558
Publication status	Published - 1 Sept 2017
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work was supported by the National High-tech R&D Program of China (863 Program) under Grant 2014AA052001. Paper no. TPWRS-00339-2016.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 13 Climate Action

Research Keywords

Demand response
energy sharing
pricing
smart grid

Policy Impact

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title = "Energy-Sharing Model with Price-Based Demand Response for Microgrids of Peer-to-Peer Prosumers",

abstract = "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. {\textcopyright} 1969-2012 IEEE.",

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T1 - Energy-Sharing Model with Price-Based Demand Response for Microgrids of Peer-to-Peer Prosumers

AU - Liu, Nian

AU - Yu, Xinghuo

AU - Wang, Cheng

AU - Li, Chaojie

AU - Ma, Li

AU - Lei, Jinyong

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2017/9/1

Y1 - 2017/9/1

N2 - 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. © 1969-2012 IEEE.

AB - 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. © 1969-2012 IEEE.

KW - Demand response

KW - energy sharing

KW - pricing

KW - smart grid

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DO - 10.1109/TPWRS.2017.2649558

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EP - 3583

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

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ER -

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

Abstract

Bibliographical note

Funding

UN SDGs

Research Keywords

Policy Impact

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