基于PCMAC⁃PID的全钒液流电池储能系统功率控制邱亚,陈薇,李鑫(合肥工业大学电气与自动化工程学院,合肥210009)摘要:为了提高全钒液流电池(Vanadiumredoxbattery,VRB)储能系统功率控制的快速性,文中提出一种分段量化小脑模型神经网络(piecewisecerebellamodelarticulationcontroller,PCMAC)与比例积分微分控制(proportionintegraldifferential,PID)相结合的复合控制策略(PCMAC⁃PID),由PCMAC实现前馈控制,PID实现反馈控制。建立了VRB储能系统的数学模型,给出了复合控制器的结构及具体算法,最后通过仿真验证了复合控制策略的有效性。仿真结果表明,与PID算法相比,复合控制策略能更好地提高控制系统的响应速度且具有一定的鲁棒性。关键词:小脑模型神经网络;复合控制;全钒液流电池;功率控制PowerControlofVanadiumRedoxBatteryEnergyStorageSystemBasedonPCMAC⁃PIDQIUYa,CHENWei,LIXin(SchoolofElectricalEngineeringandAutomation,HefeiUniversityofTechnology,Hefei210009,China)Abstract:ForimprovingthespeedabilityofpowercontrolofVanadiumredoxbattery(VRB)energystoragesystem,acompoundcontrolstrategy(PCMAC⁃PID)incombinationofpiecewisecerebellamodelarticulationcontroller(PC⁃MAC)andPIDalgorithmisproposedinthispaper.ThefeedforwardcontrolisrealizedbythePCMACandthefeed⁃backcontrolisachievedbyPID.ThemathematicalmodelofVRBenergystoragesystemissetup.Thestructureandspecificalgorithmofthecompoundcontrolleraregiven.Finally,theeffectivenessofthecompoundcontrolstrategyisverifiedbysimulation.Thesimulationresultsshowthatthecompoundcontrolstrategycan,comparedtoPIDalgo⁃rithm,improvetheresponsespeedofthecontrolsystemandalsohascertainrobustness.Keywords:cerebellamodelarticulationcontroller;compoundcontrol;Vanadiumredoxbattery;powercontrol0引言随着“碳达峰、碳中和”战略的推进及新型能源体系的规划建设,太阳能、风能等清洁能源占比越来越大,但新能源发电的间歇性、随机性和波动性给电网带来了挑战[1-6]。储能系统可以有效提升电网的安全性和运行效能,是支撑新型电力系统的重要技术和基础装备,对推动能源绿色转型、应对极端事件、保障能源安全、促进能源高质量发展具有重要意义[7-17]。全钒液流电池(Vanadiumredoxbattery,VRB)储能系统具...