新能源互联电力系统双积分反馈PID负荷频率控制  

Double Integral Feedback PID Load Frequency Control of New Energy Interconnected Power Systems

作　　者：张成 张艳 ZHANG Cheng;ZHANG Yan(Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment of Ministry of Education,College of Electrical Engineering,Anhui Polytechnic University,Wuhu 241000,China)

机构地区：[1]安徽工程大学电气工程学院高端装备先进感知与智能控制教育部重点实验室,芜湖241000

出　　处：《电力系统及其自动化学报》2022年第10期73-80,共8页Proceedings of the CSU-EPSA

基　　金：安徽省高等学校自然科学研究重点项目(KJ2019A0150,KJ2019A0151);安徽省高校优秀青年骨干人才海外访问研究项目(gxgwfx2019042);安徽省自然科学基金资助项目(1908085MF215)。

摘　　要：针对光伏新能源电力系统的调频困难问题,提出一种基于改进天牛须搜索算法的粒子群优化算法,实现对光、火、储两区域互联电力系统的负荷频率控制。首先,将储能电池引入混合电力系统中,建立光伏、火电及储能电池的两区域互联电力系统的负荷频率控制模型,并设计出含滤波系数的双积分反馈PID控制器;然后,引入方向改变因子改进天牛须搜索算法,提出一种基于改进天牛须搜索算法的粒子群优化算法,用于优化含滤波系数的双积分反馈PID控制器参数。最后,通过数值仿真,仿真结果表明,本文所提的控制策略在对于频率偏差、区域控制偏差和联络线功率偏差等方面的控制效果、抗扰动能力,优于粒子群优化算法、天牛须搜索算法和含滤波系数的双积分PID控制器。Aimed at the difficulty in the frequency regulation of a new energy power system containing photovoltaic(PV),a particle swarm optimization(PSO)algorithm based on an improved beetle antennae search(IBAS)algorithm is proposed to realize the load frequency control of a two-area solar-fire-storage interconnected power system.First,an energy storage battery is introduced into the hybrid power system,a load frequency control model of the two-area inter⁃connected power system including PV,thermal power and energy storage battery is established,and a PID with filter plus feedback double integral(PIDF-FII)controller is designed.Second,a direction change factor is introduced to im⁃prove the beetle antennae search(BAS)algorithm,and an IBAS-PSO is put forward to optimize the parameters of PIDF-FII controller.Finally,numerical simulations show that the proposed control strategy is superior to the PSO algorithm,BAS algorithm and the PIDF-FII controller in terms of the control effects on frequency deviation,area control error and tie-line power bias,as well as the anti-disturbance capability.

关 键 词：负荷频率控制 光火储混合发电系统 天牛须搜索算法 粒子群优化算法 含滤波系数的双积分反馈PID控制器 

分 类 号：TM76[电气工程—电力系统及自动化]