摘要
并网小水电作为配电网重要的有功及无功电源,在分析地方区域小水电机群集中并入配电网对电网暂态稳定的影响时,原有综合负荷模型无法准确表征含有小水电机群的负荷区域的动态特性。因此,该文研究负荷侧小水电机群的工作机理和交互作用机理,提出适用于暂态仿真的计及小水电机群的广义负荷一体化等值建模方法,在考虑配电网络的综合负荷模型基础上增加小水电发电机群的等值模型,并采用机群参数聚合、关键参数辨识及优化等技术。利用加权聚合的方法,建立小水电等值机的5阶发电机模型;通过轨迹灵敏度分析,辨识出小水电等值机对系统暂态特性影响最关键的参数X′d;基于深度学习和多目标粒子群优化算法找出该等值机待优化参数X′d的最优值。对华东电网某地区小水电机群进行等值并建立其广义负荷一体化模型,验证该方法的准确性与实用性。该方法可用于配网侧计及小水电机群的负荷建模工作,为新型电力系统准确仿真计算提供技术支撑。
Small hydropower units provide valuable contributions to both active and reactive power supply.When analyzing the impact of small hydroelectric generation clusters(SHGCs)integrated into the power grid for transient stability,the dynamic characteristics of the load region with SHGCs can not be described accurately by the comprehensive load model.To solve this problem,the operating mechanism and interacting mechanism of SHGCs on load side are studied,and a generalized load integrated equivalent modeling method considering SHGCs for transient simulation is proposed.The equivalent model of SHGCs is added on the basis of the comprehensive load model considering the distribution network.The technologies such as aggregation of SHGCs’parameters,identification of the key parameter,and optimization of the key parameter are used.Using an approach of weighted aggregation,the equivalent model is represented with the 5th order model of the synchronous generator firstly.Then,the key parameter,i.e.X′d with the strongest influence on the transient characteristics of power system is found by trajectory sensitivity analysis.Based on deep learning and multi-objective particle swarm optimization algorithm,the optimal parameter of X′d is obtained.The proposed method is applied to an area of the East China Power Grid and a generalized load integrated equivalent model considering SHGCs is established.The simulation results prove the accuracy and practicability of the modeling method.It can be used in the load modeling of the distribution network side considering SHGCs,which provides a modeling method for the transient simulation of the power system accurately.
作者
张华云
王琦
王泽忠
刘丽平
赵兵
李建华
郝杰
ZHANG Huayun;WANG Qi;WANG Zezhong;LIU Liping;ZHAO Bing;LI Jianhua;HAO Jie(School of Electrical and Electronic Engineering,North China Electric Power University,Changping District,Beijing 102206,China;China Electric Power Research Institute,Haidian District,Beijing 100192,China;East Branch of State Grid Corporation of China,Pudong New Area,Shanghai 200120,China)
出处
《中国电机工程学报》
北大核心
2025年第13期5034-5043,I0008,共11页
PROCEEDINGS OF THE CHINESE SOCIETY FOR ELECTRICAL ENGINEERING
基金
国家电网有限公司科技项目(5100-202355009A-1-1-ZN)。
关键词
小水电机群
广义综合负荷模型
轨迹灵敏度
关键参数
多目标粒子群优化
small hydroelectric generation clusters
generalized comprehensive load model
trajectory sensitivity
key parameter
multi-objective particle swarm optimization algorithm
