上海交通大学学报 ›› 2026, Vol. 60 ›› Issue (4): 550-562.doi: 10.16183/j.cnki.jsjtu.2024.357

• 新型电力系统与综合能源 • 上一篇    下一篇

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

邓美玲, 陈永进(), 白振毅   

  1. 广东电网有限责任公司韶关仁化供电局, 广东 韶关 512300
  • 收稿日期:2024-09-12 修回日期:2024-11-13 接受日期:2025-01-09 出版日期:2026-04-28 发布日期:2025-02-26
  • 通讯作者: 陈永进 E-mail:516467122@qq.com
  • 作者简介: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.
  • 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

DENG Meiling, CHEN Yongjin(), BAI Zhenyi   

  1. Shaoguan Renhua Power Supply Bureau of Guangdong Power Grid Co., Ltd., Shaoguan 512300, Guangdong, China
  • Received:2024-09-12 Revised:2024-11-13 Accepted:2025-01-09 Online:2026-04-28 Published:2025-02-26
  • Contact: CHEN Yongjin E-mail:516467122@qq.com

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电压稳定性要求.为此,提出一种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,推导以光伏输出功率表征的静态电压稳定指标解析式,揭示分布式光伏出力与静态电压稳定指标之间的二次函数关系.其次,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,建立配电网分布式光伏承载能力量化模型,并采用改进的自适应遗传算法求解该非线性模型.最后,以IEEE 33节点系统为例进行分析,验证了所提方法可有效指导配电网分布式光伏的建设.

关键词: 配电网, 分布式光伏, 静态电压稳定裕度, 承载能力

Abstract:

Large-scale integration of distributed photovoltaic (PV) systems into distribution networks can easily lead to line overloads, voltage instability, and other issues. The existing PV hosting capacity optimization methods, which mainly focus on economic performance, are often insufficient to ensure voltage stability in distribution networks. This paper proposes a quantitative method for assessing the hosting capacity of distributed PV in distribution networks based on static voltage stability margin (SVSM). First, an analytical expression for a static voltage stability index, characterized by PV output power, is derived, revealing a quadratic function relationship between distributed PV output and the static voltage stability index. Then, with the objective of maximizing PV integration capacity, a hosting capacity quantification model is established, considering constraints such as SVSM, distribution network line loss rate, voltage magnitude, and reactive power compensation devices. An improved adaptive genetic algorithm is used to solve this nonlinear model. Finally, the IEEE 33-node system is used as a case study to validate that the proposed method can effectively guide distributed PV deployment in distribution networks.

Key words: distribution network, distributed photovoltaic (PV), static voltage stability margin (SVSM), hosting capacity

中图分类号: