Journal of Shandong University(Engineering Science) ›› 2025, Vol. 55 ›› Issue (2): 16-27.doi: 10.6040/j.issn.1672-3961.0.2024.014

• Electrical Engineering—Special Issue for Smart Energy (Chaired by Prof. ZHANG Hengxu) • Previous Articles     Next Articles

Bi-level optimization strategy for active distribution networks considering carbon emission factors and dynamic reconfiguration

YAN Renwu1,2, LIN Jianxiong1, LI Peiqiang3, WU Guoyao4, KUANG Yu5   

  1. 1. School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou 350118, Fujian, China;
    2. Fujian Provincal University Engineering Research Center for Simulation Analysis and Integrated Control of Smart Grid, Fuzhou 350118, Fujian, China;
    3. College of Electrical and Information Engineering, Hunan University, Changsha 410082, Hunan, China;
    4. State Grid Fujian Marketing Service Center, Fuzhou 350013, Fujian, China;
    5. State Grid Xinyuan Company Zhejiang Pan'an Pumped Storage Co., Ltd., Jinhua 322304, Zhejiang, China
  • Published:2025-04-15

Abstract: To improve the consumption rate of photovoltaic and promote the low-carbon and economic operation of active distribution networks, a bi-level optimization strategy for active distribution networks that considered factors of carbon emission and dynamic reconfiguration was proposed. The upper-level considered dynamic reconfiguration, energy storage devices and distributed photovoltaic multiple active management measures to reduce the system network loss cost and light abandonment cost that realized the optimal economic operation of the active distribution network. The lower-level established a low-carbon demand response model based on the theory of carbon emission flow with the dynamic carbon emission factor as the guiding signal, which can fully explore the potential of carbon reduction on the user side. According to the characteristics of this model, the second-order cone planning and improved dung beetle optimization algorithm were used to solve the converted model, respectively. The simulation of the improved IEEE 33-bus system was carried out to verify the effectiveness of the proposed strategy in reducing the risk of voltage overruns and promoting the low-carbon economy of active distribution network operation.

Key words: active distribution networks, dynamic reconfiguration, low-carbon demand response, dynamic carbon emission factors, improved dung beetle optimization algorithm

CLC Number: 

  • TM73
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