文章摘要
李欣煜,周建萍,李泓青,等.基于改进PSO算法的非理想电压条件下电力弹簧控制策略[J].电力系统自动化. DOI: 10.7500/AEPS20180415001.
lixinyu,,, et al.Electric Spring Control Strategy under Non-ideal Voltage Conditions Based on Improved PSO Algorithm[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20180415001.
基于改进PSO算法的非理想电压条件下电力弹簧控制策略
Electric Spring Control Strategy under Non-ideal Voltage Conditions Based on Improved PSO Algorithm
DOI:10.7500/AEPS20180415001
关键词: 电力弹簧  四阶广义积分器  谐波抑制  PSO算法  电压不平衡
KeyWords: Electric Spring  FOGI  Harmonic Suppression  PSO algorithm  Voltage imbalance
上网日期:2018-09-14
基金项目:国家自然科学基金项目(61275038);上海市重点科技攻关计划(15160500800,14110500700);上海市科学技术委员会工程技术研究中心资助项目(14DZ2251100)
作者单位E-mail
李欣煜 上海电力学院自动化工程学院 18335102576@163.com 
周建萍 上海电力学院自动化工程学院 zhoujianping@shiep.edu.cn 
李泓青 上海电力学院自动化工程学院 793006529@qq.com 
王涛 上海电力学院自动化工程学院 827307541@qq.com 
张纬舟 上海电力学院自动化工程学院 765036672@qq.com 
摘要:
      电力弹簧(Electric Spring, ES)概念的提出旨在实现用电量随发电量的变化而变化,可有效缓解新能源发电引起的间歇性问题,为关键负载(Critical Load, CL)提供稳定的电能质量。然而当非理想电网电压(电压不平衡与低次谐波共存)时,ES采用的传统PI控制方法无法有效稳定CL电压,针对这个问题本文首先提出一种基于四阶广义积分器(Four-order generalized integrator, FOGI)的有源滤波器(Active Power Filter, APF)结构滤除电网中所含谐波并补偿CL母线的不平衡电流,保证CL电压和电流谐波含量符合要求且逆变器输出电流平衡;在此基础上提出利用改进的粒子群优化(Particle Swarm Optimization, PSO)算法实时检测CL两端电压的不平衡度信息,实时优化与非关键负载(Non-Critical Load, NCL)串联的ES电压的PWM控制信号,使CL两端电压稳定且电能质量符合要求,以消除电网电压不平衡及波动带来的影响。最后,通过仿真不同负载工况对所提算法进行了验证。#$NL关键词:电力弹簧;四阶广义积分器;谐波抑制;PSO算法;电压不平衡
Abstract:
      The purpose of Electric Spring (ES) can effectively alleviate the intermittent problems caused by new energy generation and provide stable power quality for critical loads (CL) by realizing the variance of electricity consumption with the change of power generation. However, ES adopted with the traditional PI control method can not effectively stabilize the CL voltage under non-ideal grid voltages (voltage imbalance and low-order harmonics coexist). To solve this prob-lem, the Active Power Filter (APF) based on Fourth-Order Generalized Integrator (FOGI) was firstly developed, which can filter out the harmonics in the grid and compensate for the unbalanced current of the CL bus. The proposed method can meet the requirements of the CL voltage and current harmonics as well as can balance the output current in the inverter. Furthermore, the improved Particle Swarm Optimization (PSO) algorithm is used to detect the unbal-anced voltage information of CL two ends in real time, and optimize the ES voltage’s PWM control signal in series with non-critical load (NCL) to make the voltage across the CL stable and meet the requirements of the power quality, which would eliminate the impact of grid voltage imbalance and fluctuations. Finally, the proposed algorithm is verified by simulating different load conditions.
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