Collaborative Planning Method for Distribution Network Source-Network-Load-Storage Considering Multi-Agent Mixed Game Theory

WANG Feifei; ZHANG Shenxi; SONG Yi; LIU Wenliang; DU Wei; CHENG Haozhong

doi:10.13648/j.cnki.issn1674-0629.2025.04.007

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Collaborative Planning Method for Distribution Network Source-Network-Load-Storage Considering Multi-Agent Mixed Game Theory

Collaborative Optimization of Microgrid and Source Grid Load Storage | 更新时间：2025-10-11

- Collaborative Planning Method for Distribution Network Source-Network-Load-Storage Considering Multi-Agent Mixed Game Theory
- “In the field of investment and construction of distribution networks, experts have proposed a source network load storage collaborative planning method, which effectively balances the interests of all parties, promotes the investment and utilization of new energy, and enhances economic benefits.”
- Southern Power System Technology Vol. 19, Issue 4, Pages: 78-92(2025)
- 作者机构：
  
  1.电力传输与功率变换控制教育部重点实验室（上海交通大学），上海 200240
  2.国网经济技术研究院有限公司，北京102209
  3.国网福建省电力有限公司厦门供电公司，福建厦门 361000
  4.国电南瑞科技股份有限公司，南京 211106
- 作者简介：
- 基金信息：
  
  the National Natural Science Foundation of China(52177099;51907123);Shanghai Youth Science and Technology Star Project(23QA1405400);the Headquarters Science and Technology Project of State Grid Corporation of China(5108-202218280A-2-228-XG)
- DOI：10.13648/j.cnki.issn1674-0629.2025.04.007
  CLC： TM715
- Received：25 October 2024，
  
  Published Online：17 February 2025，
  
  Published：20 April 2025
- 稿件说明：
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王菲菲,张沈习,宋毅等.考虑多主体混合博弈的配电网源网荷储协同规划[J].南方电网技术,2025,19(04):78-92.

WANG Feifei,ZHANG Shenxi,SONG Yi,et al.Collaborative Planning Method for Distribution Network Source-Network-Load-Storage Considering Multi-Agent Mixed Game Theory[J].Southern Power System Technology,2025,19(04):78-92.
王菲菲,张沈习,宋毅等.考虑多主体混合博弈的配电网源网荷储协同规划[J].南方电网技术,2025,19(04):78-92. DOI： 10.13648/j.cnki.issn1674-0629.2025.04.007.

WANG Feifei,ZHANG Shenxi,SONG Yi,et al.Collaborative Planning Method for Distribution Network Source-Network-Load-Storage Considering Multi-Agent Mixed Game Theory[J].Southern Power System Technology,2025,19(04):78-92. DOI： 10.13648/j.cnki.issn1674-0629.2025.04.007.

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WANG Feifei

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Related Institution

School of Electric Power Engineering, Shanghai University of Electric Power

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Collaborative Planning Method for Distribution Network Source-Network-Load-Storage Considering Multi-Agent Mixed Game Theory

DOI：10.13648/j.cnki.issn1674-0629.2025.04.007