摘要
随着风电逐步替代传统电源,系统频率调整能力恶化,风电主动参与互联系统负荷频率控制(load frequency control,LFC)是改善系统频率特性的新途径。针对该背景,基于分布式模型预测控制,综合考虑互联系统内传统机组、风电机组和储能电站等调频资源及其响应特性,提出一种适应于高风电渗透率的互联系统多源协同LFC策略。首先,分析不同风速对风电机组调频特性的影响,提出一种计及风速变化的风电机组多风速段功率响应模型;其次,构建传统机组、风电机组和储能电站协同参与互联系统LFC模型,兼顾各机组频率响应约束,以互联系统区域控制偏差信号和自动发电成本的加权函数为目标,构建区域信息互动的分布式模型预测控制器;最后,为实现互联系统负荷频率全局最优控制,各控制器结合己区域及其他区域机组运行状态,在线求解所有机组的功率参考值。仿真结果表明:所提策略有效降低了系统频率和联络线功率波动的幅度,实现了各机组之间的最优功率分配,并降低了系统自动发电成本。
As wind power gradually replaces the traditional power sources,there has been a deterioration in the system frequency adjustment.The active participation of wind power in Load Frequency Control(LFC)of an interconnected system becomes a new way to improve the system frequency characteristics.In response to this background,based on the distributed Model Predictive Control,this paper proposes a multi-source collaborative LFC strategy for interconnected systems with high wind power permeability by overall considering the frequency modulation resources and their response characteristics of the traditional units,the wind turbines and the energy storage in an interconnected system.Firstly,by analyzing the impacts of different wind speeds on the frequency modulation characteristics of the wind turbines,a multi-wind-speed-stage power response model for the wind turbines is proposed;Secondly,the LFC model of the interconnection system is constructed involving the traditional units,the wind turbines and the energy storage power stations,and the frequency response constraints of each of the units are taken into account.The weighted function with the Area Control Error signal and the automatic generation cost of the interconnection system is taken as the objective to establish the distributed model prediction controllers of the areal information interaction;Finally,in order to achieve a global optimal control of the load frequency of the interconnected system,each controller combines the operating status of units in its own area with the other areas to solve the power reference values of all the units online.The simulation results show that the proposed strategy effectively reduces the amplitude of the system frequency and the tie line power fluctuations,achieving the optimal power allocation among the units and reducing the cost of automatic power generation of the system as well.
作者
杨冬锋
朱军豪
姜超
郝中华
赵冠雄
YANG Dongfeng;ZHU Junhao;JIANG Chao;HAO Zhonghua;ZHAO Guanxiong(Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University),Ministry of Education,Jilin 132012,Jilin Province,China;Gongzhuling Power Supply Company of State Grid Jilin Electric Power Co.,Ltd.,Gongzhuling 136100,Jilin Province,China;Changchun Power Supply Company of State Grid Jilin Electric Power Co.,Ltd.,Changchun 130000,Jilin Province,China)
出处
《电网技术》
EI
CSCD
北大核心
2024年第7期2804-2814,I0050-I0052,共14页
Power System Technology
基金
国家自然科学基金项目(51977031)。
关键词
分布式模型预测控制
负荷频率控制
风电机组
频率调整
系统经济性
distributed model predictive control
load frequency control
wind turbine
frequency regulation
system economy
