基于自适应积分滑模约束控制的电池储能系统能量管理
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摘要
针对电池储能系统中的能量管理问题,提出基于输入输出数据的无模型自适应积分滑模控制策略。首先设计自适应观测器对动态线性化方法中的伪偏导数进行估计,然后构造离散系统下的积分滑模面,设计反馈控制律和等效控制以跟踪期望输出功率。为了解决控制系统中的积分饱和与执行器饱和问题,在抗饱和控制算法中增加补偿信号,并对控制算法的稳定性进行了证明。最后通过仿真以及与无模型自适应控制策略对比,验证了控制方法在非线性离散系统上的有效性和优越性。
Aiming at energy management problem in battery energy storage system, a model-free adaptive integral sliding mode control strategy based on input and output data was proposed. Firstly, an adaptive observer was designed to estimate the pseudo partial derivative parameter in the dynamic linearization method. Then, the integral sliding surface of the discrete system was constructed, and the feedback control law and equivalent control law were designed to track the dasired output power. In order to solve the problem of integral saturation and actuator saturation in the control system, the compensation signal was added to the anti-windup control algorithm, and the stability of the control algorithm was proved. Finally, the effectiveness and superiority of the control method on the nonlinear discrete system were verified by simulation and comparison with the model-free adaptive control strategy.
Aiming at energy management problem in battery energy storage system, a model-free adaptive integral sliding mode control strategy based on input and output data was proposed. Firstly, an adaptive observer was designed to estimate the pseudo partial derivative parameter in the dynamic linearization method. Then, the integral sliding surface of the discrete system was constructed, and the feedback control law and equivalent control law were designed to track the dasired output power. In order to solve the problem of integral saturation and actuator saturation in the control system, the compensation signal was added to the anti-windup control algorithm, and the stability of the control algorithm was proved. Finally, the effectiveness and superiority of the control method on the nonlinear discrete system were verified by simulation and comparison with the model-free adaptive control strategy.
引文
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[23]高长伟,刘晓明,陈海,等.光伏市电互补系统建模及其运行特性[J].电工技术学报,2017,32(5):204-211.Gao Changwei,Liu Xiaoming,Chen Hai,et al.Modelling and operation characteristics of photovoltaicgrid complementary system[J].Transactions of China Electrotechnical Society,2017,32(5):204-211.
[2]樊东东.用于电池储能系统的双向DC/DC变换器研究[D].合肥:安徽理工大学,2017.
[3]李秀磊,耿光飞,季玉琦,等.考虑实际运行的配电网电池储能系统的优化配置研究[J].电力系统保护与控制,2017,45(9):88-94.Li Xiulei,Geng Guangfei,Ji Yuqi,et al.Study on optimal allocation of battery energy storage in distribution network considering the actual operation[J].Power System Protection and Control,2017,45(9):88-94.
[4]孔令怡,廖丽莹,张海武,等.电池储能系统在电力系统中的应用[J].电气开关,2008(5):61-62,64.Kong Lingyi,Liao Liying,Zhang Haiwu,et al.Application of battery energy storage system in power system[J].Electrical Switch,2008(5):61-62,64.
[5]张明,朴政国.含储能的分布式光伏并网系统对配电网调峰的研究[J].电气技术,2016,17(12):11-14.Zhang Ming,Piao Zhengguo.Research of distribution network peak shaving for distributed gridconnected PV system with energy storage device[J].Electrical Technology,2016,17(12):11-14.
[6]Wang W,Xue J H,Ye J L,et al.An optimization control design of battery energy storage based on SOC for leveling off the PV power fluctuation[J].Power System Protection and Control,2014,42(2):75-80.
[7]肖朝霞,樊世军,杨庆新.基于分层控制策略的光伏-蓄电池系统动态提高并网点功率因数[J].电工技术学报,2016,31(7):107-117.Xiao Zhaoxia,Fan Shijun,Yang Qingxin.Dynamically improving the power factor of PCC using photovoltaic-battery generation system based on hierarchical control strategy[J].IEEE Transactions on Sustainable Energy,2016,31(7):107-117.
[8]Li Xiangjun,Hui Dong,Lai Xiaokang.Battery energy storage station(BESS)-based smoothing control of photovoltaic(PV)and wind power generation fluctuations[J].IEEE Transactions on Sustainable Energy,2013,4(2):464-473.
[9]罗煜,黄梅,鲍谚,等.基于储能SOC优化控制的风储电站实时跟踪发电计划控制策略[J].电工技术学报,2016,31(增刊1):214-220.Luo Yu,Huang Mei,Bao Yan,et al.Control strategy of wind storage power station real-time tracking power generation planning based on energy storage SOC optimization control[J].Transactions of China Electrotechnical Society,2016,31(S1):214-220.
[10]Chacra F A,Bastard P,Fleury G,et al.Impact of energy storage costs on economical performance in a distribution substation[J].IEEE Transactions on Power Systems,2005,20(2):684-691.
[11]Sossan F,Torregrossa D,Namor E,et al.Control of a battery energy storage system accounting for the charge redistribution effect to dispatch the operation of a medium voltage feeder[C]//2015 IEEE Power Tech,Eindhoven,2015:1-6.
[12]Lin Qirong,Yin Maolin,Shi Dongming,et al.Optimal control of battery energy storage system integrated in PV station considering peak shaving[C]//2017 Chinese Automation Congress(CAC),Jinan,2017:2750-2754.
[13]Zhao Haoran,Wu Qiuwei,Wang Chengshan,et al.Fuzzy logic based coordinated control of battery energy storage system and dispatchable distributed generation for microgrid[J].Journal of Modern Power Systems&Clean Energy,2015,3(3):422-428.
[14]姚勇,朱桂萍,刘秀成.电池储能系统在改善微电网电能质量中的应用[J].电工技术学报,2012,27(1):85-89.Yao Yong,Zhu Guiping,Liu Xiucheng.Improvement of power quality of micro-grids by battery energy storage system[J].Transactions of China Electrotechnical Society,2012,27(1):85-89.
[15]Xu Dezhi,Shi Yan,Ji Zhicheng.Model free adaptive discrete-time integral sliding mode constrained control for autonomous 4WMV parking systems[J].IEEE Transactions on Industrial Electronics,2018,65(1):834-843.
[16]Bu Xuhui,Hou Zhongsheng,Zhang Hongwei.Data-driven multiagent systems consensus tracking using model free adaptive control[J].IEEE Transactions on Neural Networks and Learning Systems,2018,29(5):1514-1524.
[17]Xu Dezhi,Jiang Bin,Shi Peng.Adaptive observer based data-driven control for nonlinear discrete-time processes[J].IEEE Transactions on Automation Science&Engineering,2014,11(4):1037-1045.
[18]Tarbouriech S,Turner M.Anti-windup design:an overview of some recent advances and open problems[J].IET Control Theory&Applications,2009,3(1):1-19.
[19]Xu Dezhi,Yan Wenxu,Ji Nan.RBF neural network based adaptive constrained PID control of a solid oxide fuel cell[C]//2016 Chinese Control and Decision Conference(CCDC),Yinchuan,2016:3986-3991.
[20]Spooner J,Manfredi M,Passino K.Stable adaptive control and estimation for nonlinear system[M].New York:Wiley,2002.
[21]田春光,田利,李德鑫,等.基于混合储能系统跟踪光伏发电输出功率的控制策略[J].电工技术学报,2016,31(14):75-83.Tian Chunguang,Tian Li,Li Dexin,et al.Control strategy for tracking the output power of photovoltaic power generation based on hybrid energy storage system[J].Transactions of China Electrotechnical Society,2016,31(14):75-83.
[22]高长伟,刘晓明,陈海,等.光伏市电互补系统建模及其运行特性[J].电工技术学报,2017,32(5):200-207.Gao Changwei,Liu Xiaoming,Chen Hai,et al.Modelling and operation characteristics of photovoltaicgrid complementary system[J].Transactions of China Electrotechnical Society,2017,32(5):200-207.
[23]高长伟,刘晓明,陈海,等.光伏市电互补系统建模及其运行特性[J].电工技术学报,2017,32(5):204-211.Gao Changwei,Liu Xiaoming,Chen Hai,et al.Modelling and operation characteristics of photovoltaicgrid complementary system[J].Transactions of China Electrotechnical Society,2017,32(5):204-211.