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author:

Chen, X. (Chen, X..) [1] | Lu, Y. (Lu, Y..) [2] | Tong, C. (Tong, C..) [3] | Wang, Z. (Wang, Z..) [4] | Miao, X. (Miao, X..) [5] | Liu, Y. (Liu, Y..) [6]

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Scopus

Abstract:

Under the guidance of the dual-carbon target,the high-proportion distributed power access power distribution system faces significant challenges in low-carbon and economic operation. Existing source-load-storage coordinated planning in power distribution systems emphasizes economic operation. This article proposes a decarbonization and economic operation strategy method for new power distribution system.Firstly, targeting the operational characteristics of wind-solar-load-storage units in the new power distribution system, individual unit models are constructed. Secondly, a dual-layer decision-making model for energy storage device siting and capacity setting and day-ahead optimized operation is built to reconcile the conflict between decarbonization responsibilities and economic operation in the system. Finally, to address the high-dimensional, multi-constraint optimization problem of economic operation in the new power distribution system, considering carbon trading costs, an improved particle swarm algorithm is used to solve the dual-layer optimization models. The effectiveness of the proposed optimization configuration strategy method in reducing system line losses, enhancing economic and decarbonization operations is validated through IEEE standard node examples. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Keyword:

Decarbonization and economic operation strategy Dual-layer decision-making model Energy storage device siting and capacity setting New power distribution system Source-load-storage coordinated planning

Community:

  • [ 1 ] [Chen X.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Lu Y.]State Grid Fujian Electric Power Co., LTD., Fuzhou Power Supply Company, Fuzhou, 350009, China
  • [ 3 ] [Tong C.]State Grid Fujian Marketing Service Center (Metering Center), Fuzhou, 350011, China
  • [ 4 ] [Wang Z.]State Grid Zhejiang Shaoxing City Shangyu District Power Supply Company, Shaoxing, 312399, China
  • [ 5 ] [Miao X.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 6 ] [Liu Y.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China

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ISSN: 1876-1100

Year: 2025

Volume: 1397 LNEE

Page: 405-418

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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