Research on Distributed Energy Storage Planning-Scheduling Strategy of Regional Power Grid Considering Demand Response

Yunjie Rao, Xue Cui (), Xuyue Zou, Liming Ying, Pingzheng Tong and Junlin Li
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Yunjie Rao: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Xue Cui: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Xuyue Zou: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Liming Ying: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Pingzheng Tong: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Junlin Li: School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China

Sustainability, 2023, vol. 15, issue 19, 1-14

Abstract: Distributed energy storage and demand response technology are considered important means to promote new energy consumption, which has the advantages of peak regulation, balance, and flexibility. Firstly, this paper introduces the carbon trading market and the new energy abandonment penalty mechanism. Taking the energy storage cost, distribution network operation cost, network loss cost, carbon transaction cost, and new energy abandonment cost as the objective functions, the distributed energy storage optimization allocation model is established. Considering the scheduling problems of various units in the system, the operation strategy of distributed energy storage and demand response linkage is proposed. The improved bat algorithm is used to solve the problem. The example analysis shows that under the combined action of energy storage and demand response, the annual total cost of the distribution network is effectively reduced, the consumption rate of new energy is improved, and the voltage quality and network loss of the power grid are improved to ensure the reliability and stability of the distribution network.

Keywords: distribution network; distributed energy storage system; optimized allocation; carbon trading mechanism (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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