基于静态电压稳定裕度的配电网分布式光伏承载能力量化方法

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  • 广东电网有限责任公司韶关仁化供电局,广东 韶关 512300
邓美玲(1987-),工程师,本科生,从事新能源发电并网技术、配网规划运行等研究。
陈永进,高级工程师,博士生;E-mail: 516467122@qq.com。

网络出版日期: 2025-02-26

基金资助

中国南方电网有限责任公司科技项目(GDKJXM20230364)

Quantification Method for Distributed Photovoltaic Hosting Capacity of Distribution Networks Based on Static Voltage Stability Margin

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  • Guangdong Power Grid Co., Ltd. Shaoguan Renhua Power Supply Bureau, Shaoguan 512300, Guangdong, China

Online published: 2025-02-26

摘要

大规模分布式光伏接入配电网容易引发线路重过载、电压失稳等问题,现有以经济性为核心的配电网光伏承载能力优化评估方法难以满足配电网电压稳定需求。本文提出了基于静态电压稳定裕度的配电网分布式光伏承载能力量化方法。首先,推导了以光伏输出功率表征的静态电压稳定指标解析式,揭示了分布式光伏出力与静态电压稳定指标的二次函数关系。然后,以分布式光伏接入容量最大为优化目标,综合考虑静态电压稳定裕度、配电网线损率、电压幅值以及无功补偿装置等约束,建立了配电网分布式光伏承载能力量化模型,并采用了改进的自适应遗传算法对该非线性模型进行求解。最后,以IEEE 33节点系统为例进行分析,验证了所提方法可以有效指导配电网分布式光伏建设。

本文引用格式

邓美玲, 陈永进, 白振毅 . 基于静态电压稳定裕度的配电网分布式光伏承载能力量化方法[J]. 上海交通大学学报, 0 : 1 . DOI: 10.16183/j.cnki.jsjtu.2024.357

Abstract

Distribution network lines heavy overloads, voltage instability and other problems occur easily due to large-scale distributed photovoltaic access. The existing economy-centered distribution network photovoltaic hosting capacity optimization assessment method is difficult to meet the distribution network voltage stability need. This paper proposes a quantification method for photovoltaic hosting capacity of distributed network based on static voltage stability margin. First, the analytical equation of static voltage stability index characterized by photovoltaic output power is derived, which reveals the quadratic function relationship between distributed photovoltaic output power and static voltage stability index. Then, with the maximum capacity of distributed photovoltaic access as the optimization objective, a quantitative model for distributed photovoltaic hosting capacity of distribution network is established by considering the constraints of static voltage stability margin, distribution network line loss rate, voltage magnitude, and reactive power compensation device, and an improved adaptive genetic algorithm is used to solve the nonlinear model. Finally, case studies on an IEEE 33-node system validate effectiveness of proposed method in guiding distributed photovoltaic construction in distribution network.
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