作者：李练兵1, 张凯宁1, 曾四鸣2, 梁纪峰2
作者单位：1. 河北工业大学人工智能与数据科学学院，天津 300131;
2. 国网河北省电力公司电力科学研究院，河北 石家庄 050000
关键词：分布式光伏;接纳能力;布谷鸟搜索算法;配电网
摘要：
随着分布式光伏渗透率的不断提高，配电网将承受更大压力，为维持配电网安全运行，研究分布式光伏并网接纳能力显得至关重要。为此，首先建立含分布式光伏的配电网优化模型，对其接入容量及配电网线路有功功率损耗进行综合考虑，并提出一种改进的布谷鸟搜索算法，通过对其飞行公式进行改进及增加扰动算子以达到提升算法收敛速度及收敛精度目标；然后基于改进布谷鸟搜索算法计算不同功率因数下配电网最优接纳能力；最后以IEEE-33及IEEE-69节点系统为例进行仿真，对所建模型及算法进行验证。结果表明：所提方法可有效提高布谷鸟搜索算法的性能，并能够在满足系统约束条件下，实现对分布式光伏接入容量及线路有功功率损耗的综合优化。
Research on acceptance capacity of distributed photovoltaic grid connection
LI Lianbing1, ZHANG Kaining1, ZENG Siming2, LIANG Jifeng2
1. School of Artificial Intelligence, Hebei University of Technology, Tianjin 300131, China;
2. Electric Science Institute of State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050000, China
Abstract: With the increasing penetration of distributed photovoltaic, the distribution network will be under more pressure. To maintain the safe operation of the distribution network, it is crucial to study the hosting capacity of distributed network. Therefore, this paper firstly establishes a simulation model of distribution network containing distributed photovoltaic, and carries out a comprehensive optimization of distributed photovoltaic access capacity and active power loss of distribution network lines. An improved cuckoo search algorithm is proposed to improve the flight equation and increase the perturbation operator to improve the convergence speed and accuracy of the algorithm. Then the optimal hosting capacity of the distribution network under different power factors is calculated based on the improved cuckoo search algorithm. Finally, the IEEE-33 and IEEE-69 node systems are simulated to verify the established model and algorithm. The experimental results show that the proposed method effectively improves the performance of the cuckoo search algorithm and can achieve comprehensive optimization of distributed photovoltaic access capacity and line active power loss while satisfying the system constraints.
Keywords: distributed photovoltaic;hosting capacity;cuckoo search algorithm;distribution network
2023, 49(8):1-7,27 收稿日期: 2022-03-24;收到修改稿日期: 2022-06-01
基金项目: 河北省重点研发计划项目(20314301D)
作者简介: 李练兵(1972-),男,天津市人,教授,研究方向为新能源系统与控制、电力电子技术
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