考虑功角稳定的新能源电压穿越控制参数优化方法  

Optimization method for voltage ride-through control parameters of new energy sources considering power angle stability

作　　者：刘洪涛[1] 马骞[1] 黄河[1] 黄兆棽 朱益华 李成翔 Liu Hongtao;Ma Qian;Huang He;Huang Zhaochen;Zhu Yihua;Li Chengxiang(China Southern Power Grid Power Dispatching and Control Center,Guangzhou 510663,China;National Key Laboratory of DC Transmission Technology,China Southern Power Gridcsg Electric Power Research Institute,Guangzhou 510663,China)

机构地区：[1]中国南方电网电力调度控制中心,广东广州510663 [2]南方电网科学研究院有限责任公司直流输电技术全国重点实验室,广东广州510663

出　　处：《能源与环保》2025年第3期219-226,共8页CHINA ENERGY AND ENVIRONMENTAL PROTECTION

基　　金：南方电网有限责任公司科技项目(ZDKJXM20222007)。

摘　　要：以光伏为代表的新能源与传统电源联合送出系统暂态功角稳定和电压稳定问题交织,当前研究尚未有考虑暂态功角稳定的新能源电压穿越控制参数优化方法。针对这一问题,首先,结合典型实际电网场景,分析了功角稳定问题的产生机理及影响因素;然后,分析了新能源电压穿越控制参数对电压稳定性的影响;在此基础上,制定了考虑暂态功角稳定性的新能源电压穿越控制参数的优化原则及方法,采用改进的量子粒子群算法对低电压穿越的关键参数进行优化。基于典型实际电网数据的仿真分析结果表明,所提方法能够有效提升暂态功角稳定裕度和电压稳定性。The transient power angle stability and voltage stability of the combined transmission system of new energy represented by photovoltaics and traditional power sources are intertwined.Currently,there is no optimization method for the control parameters of new energy voltage ride-through considering transient power angle stability in research.To address this issue,firstly,the generation mechanism and influencing factors of power angle stability problems were analyzed in combination with typical actual grid scenarios.Then,the impact of new energy voltage ride-through control parameters on voltage stability was analyzed.On this basis,the optimization principles and methods for new energy voltage ride-through control parameters considering transient power angle stability were formulated.The improved quantum particle swarm algorithm was used to optimize key parameters of low voltage ride-through.The simulation analysis results based on typical actual power grid data show that the proposed method can effectively improve transient power angle stability margin and voltage stability.

关 键 词：互联电网 功角稳定 无功电压 新能源电压穿越 控制参数优化 

分 类 号：TM721[电气工程—电力系统及自动化]