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author:

Chen, Xi (Chen, Xi.) [1] | Lu, Yanzhen (Lu, Yanzhen.) [2] | Tong, Chengxin (Tong, Chengxin.) [3] | Wang, Zhilei (Wang, Zhilei.) [4] | Miao, Xiren (Miao, Xiren.) [5] (Scholars:缪希仁) | Liu, Yuhan (Liu, Yuhan.) [6]

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EI 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:

Particle swarm optimization (PSO) Strategic planning

Community:

  • [ 1 ] [Chen, Xi]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Lu, Yanzhen]State Grid Fujian Electric Power Co., LTD., Fuzhou Power Supply Company, Fuzhou; 350009, China
  • [ 3 ] [Tong, Chengxin]State Grid Fujian Marketing Service Center (Metering Center), Fuzhou; 350011, China
  • [ 4 ] [Wang, Zhilei]State Grid Zhejiang Shaoxing City Shangyu District Power Supply Company, Shaoxing; 312399, China
  • [ 5 ] [Miao, Xiren]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 6 ] [Liu, Yuhan]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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Chinese Cited Count:

30 Days PV: 6

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