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山东大学学报 (工学版) ›› 2025, Vol. 55 ›› Issue (2): 16-27.doi: 10.6040/j.issn.1672-3961.0.2024.014

• 电气工程——智慧能源专题(张恒旭教授主持) • 上一篇    下一篇

考虑碳排放因子与动态重构的主动配电网双层优化策略

鄢仁武1,2,林剑雄1,李培强3,吴国耀4,匡宇5   

  1. 1.福建理工大学电子电气与物理学院, 福建 福州 350118;2.智能电网仿真分析与综合控制福建省高校工程研究中心, 福建 福州 350118;3.湖南大学电气与信息工程学院, 湖南 长沙 410082;4.国网福建营销服务中心, 福建 福州 350013;5.国网新源浙江磐安抽水蓄能有限公司, 浙江 金华 322304
  • 发布日期:2025-04-15
  • 作者简介:鄢仁武(1981— ),男,福建福州人,副教授,硕士生导师,博士,主要研究方向为综合能源系统低碳优化调度. E-mail: yrw2010@fjut.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(52377097)

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

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摘要： 为提高光伏的消纳率,促进主动配电网低碳经济运行,提出一种考虑碳排放因子与动态重构的主动配电网双层优化策略。上层计及动态重构、储能设备和分布式光伏多种主动管理措施,减少系统网损成本和弃光成本,实现主动配电网最优经济运行;下层基于碳排放流理论,建立以动态碳排放因子为引导信号的低碳需求响应模型,充分挖掘用户侧减碳潜力。针对模型特征,分别采用基于二阶锥规划和改进蜣螂优化算法进行求解,通过改进IEEE 33节点系统验证了该策略能够有效降低电压越限风险,提升主动配电网运行的低碳经济性。

关键词: 主动配电网, 动态重构, 低碳需求响应, 动态碳排放因子, 改进蜣螂优化算法

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

中图分类号: 

  • TM73
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