文章摘要
李黄强,赵发金,舒征宇,陈 林,童华敏,鲍 刚.考虑多种调控手段的分布式光伏承载能力提升优化模型[J].电力需求侧管理,2025,27(2):82-87
考虑多种调控手段的分布式光伏承载能力提升优化模型
Enhancement optimization model for distributed photovoltaic hosting capacity considering multiple adjustment methods
投稿时间：2024-12-02  修订日期：2025-01-06
DOI：10. 3969 / j. issn. 1009-1831. 2025. 02. 013
中文关键词: 分布式光伏  网络重构  承载能力  配电网  无功补偿
英文关键词: distributed photovoltaic  network reconfiguration  hosting capacity  distribution network  reactive power compensation
基金项目:国家自然科学基金项目（62476153）
作者单位
李黄强 国网湖北省电力有限公司 宜昌供电公司,湖北 宜昌 443000 
赵发金 三峡大学电气与新能源学院,湖北 宜昌 443002 
舒征宇 三峡大学电气与新能源学院,湖北 宜昌 443002 
陈 林 国网湖北省电力有限公司 宜昌供电公司,湖北 宜昌 443000 
童华敏 国网湖北省电力有限公司 宜昌供电公司,湖北 宜昌 443000 
鲍 刚 三峡大学电气与新能源学院,湖北 宜昌 443002 
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中文摘要:
      为了提升配电网分布式光伏承载能力,提出了一种考虑多种调控手段的分布式光伏承载能力提升优化模型。首先,考虑电源侧逆变器无功调控、配网侧附加无功补偿及网络重构,建立了以配电网光伏接入容量最大、经济性最优的多目标优化规划模型；其次,针对配电网中光伏-负荷的不确定性,构建了考虑光伏-负荷时序相关性的联合时序典型场景；最后,通过NSGA-II多目标优化算法求解所建模型,得到优化结果。算例仿真验证,逆变器无功调控、附加无功补偿及网络重构3种调控手段相配合可以在兼顾经济性的前提下有效提升配电网的分布式光伏承载能力。
英文摘要:
      In order to improve the distributed photovoltaic carrying capacity of the distribution network, a distributed photovoltaic carrying capacity improvement method considering a variety of regulation and control methods is proposed. Firstly, considering the reactive power control of the inverter on the power supply side, the additional reactive power compensation on the distribution network side and the network reconstruction, a multi-objective optimization planning model with the largest photovoltaic access capacity and the best economy in the distribution network is established. Secondly, aiming at the uncertainty of PV-load in the distribution network, a typical joint timing scenario considering the correlation between PV-load timing is constructed. Finally, the NSGA-II multi-objective optimization algorithm is used to solve the model, and the optimization results are obtained. The simulation results show that the combination of three control methods, namely inverter reactive power control, additional reactive power compensation and network reconstruction, can effectively improve the distributed photovoltaic carrying capacity of the distribution network under the premise of taking into account the economy.
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