A new MPPT method for photovoltaic grid-connected system based on Markov model
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- 英文论文题名：A new MPPT method for photovoltaic grid-connected system based on Markov model
- 论文作者：Suwei Zhai ; Yonghui Sun ; Jiaqiang Wang ; Bowen Zhang
- 英文论文作者：Suwei Zhai ; Yonghui Sun ; Jiaqiang Wang ; Bowen Zhang ; College of Energy and Electrical Engineering ; Hohai University
- 年：2017
- 作者机构：College of Energy and Electrical Engineering,Hohai University;
- 英文论文关键词：MPPT ; Markov model ; photovoltaic ; grid-connected
- 会议召开时间：2017-07-26
- 会议录名称：第36届中国控制会议论文集（B）
- 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
- 语种：英文
- 分类号：O211.62;TM615
- 学会代码：KZLL
- 会议名称：第36届中国控制会议
- 会议地点：中国辽宁大连
- 主办单位：中国自动化学会控制理论专业委员会
- 学会名称：中国自动化学会控制理论专业委员会
- 页数：6
- 文件大小：368k
- 原文格式：D
- 会议级别：全国
摘要
This paper addresses the problem of maximum power point tracking for photovoltaic grid-connected system based on Markov model. Considering the stochastic characteristic of solar irradiation, a new maximum power point tracking method based on Markov model is proposed. Four discrete states are defined from a Markov chain according to the collected solar irradiation data, then the probability transition matrix is obtained. The maximum power point and the corresponding duty ratio after the solar irradiation changed can be estimated by the probability transition matrix and the previous state, the tracking results will be more accurate by adjusting the estimated duty ratio. Finally, simulation results are provided to illustrate the effectiveness of the proposed algorithm.
This paper addresses the problem of maximum power point tracking for photovoltaic grid-connected system based on Markov model. Considering the stochastic characteristic of solar irradiation, a new maximum power point tracking method based on Markov model is proposed. Four discrete states are defined from a Markov chain according to the collected solar irradiation data, then the probability transition matrix is obtained. The maximum power point and the corresponding duty ratio after the solar irradiation changed can be estimated by the probability transition matrix and the previous state, the tracking results will be more accurate by adjusting the estimated duty ratio. Finally, simulation results are provided to illustrate the effectiveness of the proposed algorithm.
This paper addresses the problem of maximum power point tracking for photovoltaic grid-connected system based on Markov model. Considering the stochastic characteristic of solar irradiation, a new maximum power point tracking method based on Markov model is proposed. Four discrete states are defined from a Markov chain according to the collected solar irradiation data, then the probability transition matrix is obtained. The maximum power point and the corresponding duty ratio after the solar irradiation changed can be estimated by the probability transition matrix and the previous state, the tracking results will be more accurate by adjusting the estimated duty ratio. Finally, simulation results are provided to illustrate the effectiveness of the proposed algorithm.
引文
[1]W.Li and X.He,“Review of nonisolated high-step-up dc/dc converters in photovoltaic grid-connected applications,”IEEE Trans.Industrial Electronics,vol.58,no.4,pp.1239-1250,May.2010.
[2]H.Beltran,E.Perez,N.Aparicio,and P.Rodriguez,“Daily solar energy estimation for minimizing energy storage requirements in PV power plants,”IEEE Trans.Sustainable Energy,vol.4,no.2,pp.474-481,Apr.2012.
[3]E.Michael and R.Ramesh,“Evolution of dispatchable photovoltaic system integration with the electric power network for smart grid applications:A review,”Renewable and Sustainable energy reviews,vol.67,pp.207-224,Jan.2017.
[4]N.Femia,G.Petrone,G.Spagnuolo,and M.Vitelli,“Optimization of perturb and observe maximum power point tracking method,”IEEE Trans.Power Electronics,vol.20,no.4,pp.963–973,Jul.2005.
[5]J.Sun and X.Li,“A new MPPT control strategy:study of auto-adpated step size incremental conductance method based on segmented numerical approximation,”in proceedings of the 9th International Conference on Mechatronic Science,Electric Engineering and Computer(MEC),pp.239-242,Aug.2011.
[6]S.Strache,J.Mueller,D.Platz,R.Wunderlich,and S.Heinen,“Maximum power point tracker for small number of solar cells connected in series,”in proceedings of the38th Annual Conference on IEEE Industrial Electronics Society,pp.5732–5737,Oct.2012.
[7]Y.Xue and S.Wang,“Photovoltaic cell modeling and the maximum power point tracking simulation,”in proceedings of the International Conference on Materials for Renewable Energy and Environment(ICMREE),pp.119-123,Aug.2014.
[8]C.Tong and C.Chao,“An adaptive maximum power point tracking design for serial-connected photovoltaic modules,”in proceedings of the 43rd Photovoltaic Specialists Conference(PVSC),pp.3269-3274,Jun.2016.
[9]F.Liu,S.Duan,F.Liu,B.Liu,and Y.Kang,“A variable step size INC MPPT method for PV systems,”IEEE Trans.Industrial Electronics,vol.55,no.7,pp.2622–2628,Jun.2008.
[10]P.Chen,K.Berthelsen,B.Jensen,and Z.Chen,“Markov model of wind power time series using Bayesian inference of transition matrix,”in proceedings of 35th Annual Conference of IEEE Industrial Electronics,pp.627-632,Nov.2009.
[11]S.Liu,P.Liu,and X.Wang,“Stochastic small-signal stability analysis of grid-connected photovoltaic systems,”IEEE Trans.Industrial Electronics,vol.63,no.2,pp.1027-1038,Sep.2016.
[12]L.Zhu,M.Qiao,X.Li,and Q.Chen,“Experiment study on electrostatic discharge of LEO high voltage solar array,”in proceedings of 2015 3rd International Conference on Electric Power Equipment-Switching Technology(ICEPE-ST),pp.431-434,Oct.2015.
[13]M.Villalva,J.Gazoli,and E.Filho,“Comprehensive approach to modeling and simulation of photovoltaic arrays,”IEEE Trans.Power Electronics,vol.24,no.5,pp.1198-1208,Mar.2009.
[14]A.Tarabsheh,I.Etier,M.Akmal,A.Sweleh,and M.Ghazal,“Modeling of series-connected photovoltaic cells,”in proceedings of 43th Photovoltaic Specialists Conference(PVSC),pp.1523–1526,Jun.2016.
[15]P.Burns and N.Anani,“Modelling and simulation of photovoltaic arrays under varying conditions,”in proceedings of the 9th International Symposium on Communication system,Networks and Digital Signal Processing(CSNDSP),pp.831-834,Jul.2014.
[16]R.W.Erickson and D.Maksimovic,Fundamentals of Power Electronics,Kluwer,New York,2001.
[17]J.W.Hansen,“Stochastic daily solar irradiance for biological modeling applications,”Agricultural Forest Meteorology,vol.94,no.1,pp.53–63,Apr.1999.
[18]S.Salcedo-Sanz,C.Casanova-Mateo,J.Mu?oz-Marí,and G.Camps-Valls,“Prediction of daily global solar irradiation using temporal Gaussian processes,”IEEE Geoscience and Remote Sensing Letters,vol.11,no.11,pp.1936-1940,Apr.2014.
[19]A.Kumar,R.Pachauri,and K.Chauhan,“Analysis and performance improvement of solar PV system by solar irradiation tracking,”in proceedings of the 2015Iternational Conference on Energy Economics and Environment(ICEEE),Mar.2015.
[20]W.Zhu,S.Yang,L.Wang,and L.Luo,“Modeling and analysis of output features of the solar cells based on Matlab/Simulink,”in proceedings of the 2011International Conference on Materials for Renewable Energy and Environment(ICMREE),pp.730-734,May2011.
[21]Y.Xu,R.Lu,P.Shi,H.Li,and S.Xie,“Finite-time distributed state estimation over sensor networks with Round-Robin protocol and fading channels,”IEEE Trans.Cybernetics,no.99,pp.1-10,Dec.2016.
[22]Y.Xu,R.Lu,P.Shi,J.Tao,and S.Xie,“Robust estimation for neural networks with randomly occurring distributed delays and Markovian jump coupling,”IEEE Trans.Neural Networks and Learning Systems,no.99,pp.1-11,Jan.2017.
[23]Y.Xu,R.Lu,H.Peng,K.Xie,and A.Xue,“Asynchronous dissipative state estimation for stochastic complex networks with quantized jumping coupling and uncertain measurements,”IEEE Trans.Neural Networks and Learning systems,vol.28,no.2,pp.268-277,Feb.2017.
[24]L.Zhu,“Dynamics of switching van der Pol circuits,”Nonlinear Dynamics,vol.87,no.2,pp.1217–1234,Jan.2017.
[25]G.Farivar,V.Agelidis,and B.Hredzak,“A simple perturb and observe MPPT scheme for bridge based photovoltaic system,”in proceedings of 2013 Australasian Universities Power Engineering Conference(AUPEC),pp.1-5,Oct.2013.
[26]H.Deopare and A.Deshpande,“Modeling and Incremental conductance maximum power point tracking,”in proceedings of 2015 International Conference on Energy Systems and Applications(ICESA),pp.501-505,Nov.2015.
[27]Y.Sun,X.Wu,J.Cao,Z.Wei,and G.Sun,“Fractional extended Kalman filtering for nonlinear fractional system with Lévy noises,”IET Control Theory&Applications,vol.11,no.3,pp.349-358,Feb.2017.
[28]Y.Wang,T.Bian,J.Xiao,and C.Wen,“Global synchronization of complex dynamical networks through digital communication with limited data rate,”IEEE Trans.Neural Networks and Learning Systems,Vol.26,No.10,pp.2487-2499,Oct.2015.
[29]X.Liu,Y.Wang,J.Xiao,and W.Yang,“Distributed hierarchical control design of coupled heterogeneous linear systems under switching networks,”Int.J.Robust and Nonlinear Control,Vol.27,No.28,pp.1242-1259,May.2017.
[30]L.Bai,Q.Hu,F.Li,T.Ding,and H.Sun,“Robust mean-variance optimization model for grid-connected microgrids,”in proceedings of 2015 IEEE Power&Energy Society General Meeting(PES),pp.1-5,Jul.2015.
[31]T.Jiang,H.Yuan,H.Zhou,and F.Li,“Stochastic subspace identification-based approach for tracking inter-area oscillatory modes in bulk power system utilizing synchrophasor measurements,”IET Gener.Transm.Distrib.,Vol.9,no.15,pp.2409-2418,Nov.2015.
[32]T.Jiang,L.Bai,G.Li,H.Jia,Q.Hu,and H.Yuan,“Estimating inter-area dominant oscillation mode in bulk power grid using multi-channel continuous wavelet transform,”J.Mod.Power Syst.Clean Energy,vol.4,no.3,pp.394–405,Jun.2016.
[2]H.Beltran,E.Perez,N.Aparicio,and P.Rodriguez,“Daily solar energy estimation for minimizing energy storage requirements in PV power plants,”IEEE Trans.Sustainable Energy,vol.4,no.2,pp.474-481,Apr.2012.
[3]E.Michael and R.Ramesh,“Evolution of dispatchable photovoltaic system integration with the electric power network for smart grid applications:A review,”Renewable and Sustainable energy reviews,vol.67,pp.207-224,Jan.2017.
[4]N.Femia,G.Petrone,G.Spagnuolo,and M.Vitelli,“Optimization of perturb and observe maximum power point tracking method,”IEEE Trans.Power Electronics,vol.20,no.4,pp.963–973,Jul.2005.
[5]J.Sun and X.Li,“A new MPPT control strategy:study of auto-adpated step size incremental conductance method based on segmented numerical approximation,”in proceedings of the 9th International Conference on Mechatronic Science,Electric Engineering and Computer(MEC),pp.239-242,Aug.2011.
[6]S.Strache,J.Mueller,D.Platz,R.Wunderlich,and S.Heinen,“Maximum power point tracker for small number of solar cells connected in series,”in proceedings of the38th Annual Conference on IEEE Industrial Electronics Society,pp.5732–5737,Oct.2012.
[7]Y.Xue and S.Wang,“Photovoltaic cell modeling and the maximum power point tracking simulation,”in proceedings of the International Conference on Materials for Renewable Energy and Environment(ICMREE),pp.119-123,Aug.2014.
[8]C.Tong and C.Chao,“An adaptive maximum power point tracking design for serial-connected photovoltaic modules,”in proceedings of the 43rd Photovoltaic Specialists Conference(PVSC),pp.3269-3274,Jun.2016.
[9]F.Liu,S.Duan,F.Liu,B.Liu,and Y.Kang,“A variable step size INC MPPT method for PV systems,”IEEE Trans.Industrial Electronics,vol.55,no.7,pp.2622–2628,Jun.2008.
[10]P.Chen,K.Berthelsen,B.Jensen,and Z.Chen,“Markov model of wind power time series using Bayesian inference of transition matrix,”in proceedings of 35th Annual Conference of IEEE Industrial Electronics,pp.627-632,Nov.2009.
[11]S.Liu,P.Liu,and X.Wang,“Stochastic small-signal stability analysis of grid-connected photovoltaic systems,”IEEE Trans.Industrial Electronics,vol.63,no.2,pp.1027-1038,Sep.2016.
[12]L.Zhu,M.Qiao,X.Li,and Q.Chen,“Experiment study on electrostatic discharge of LEO high voltage solar array,”in proceedings of 2015 3rd International Conference on Electric Power Equipment-Switching Technology(ICEPE-ST),pp.431-434,Oct.2015.
[13]M.Villalva,J.Gazoli,and E.Filho,“Comprehensive approach to modeling and simulation of photovoltaic arrays,”IEEE Trans.Power Electronics,vol.24,no.5,pp.1198-1208,Mar.2009.
[14]A.Tarabsheh,I.Etier,M.Akmal,A.Sweleh,and M.Ghazal,“Modeling of series-connected photovoltaic cells,”in proceedings of 43th Photovoltaic Specialists Conference(PVSC),pp.1523–1526,Jun.2016.
[15]P.Burns and N.Anani,“Modelling and simulation of photovoltaic arrays under varying conditions,”in proceedings of the 9th International Symposium on Communication system,Networks and Digital Signal Processing(CSNDSP),pp.831-834,Jul.2014.
[16]R.W.Erickson and D.Maksimovic,Fundamentals of Power Electronics,Kluwer,New York,2001.
[17]J.W.Hansen,“Stochastic daily solar irradiance for biological modeling applications,”Agricultural Forest Meteorology,vol.94,no.1,pp.53–63,Apr.1999.
[18]S.Salcedo-Sanz,C.Casanova-Mateo,J.Mu?oz-Marí,and G.Camps-Valls,“Prediction of daily global solar irradiation using temporal Gaussian processes,”IEEE Geoscience and Remote Sensing Letters,vol.11,no.11,pp.1936-1940,Apr.2014.
[19]A.Kumar,R.Pachauri,and K.Chauhan,“Analysis and performance improvement of solar PV system by solar irradiation tracking,”in proceedings of the 2015Iternational Conference on Energy Economics and Environment(ICEEE),Mar.2015.
[20]W.Zhu,S.Yang,L.Wang,and L.Luo,“Modeling and analysis of output features of the solar cells based on Matlab/Simulink,”in proceedings of the 2011International Conference on Materials for Renewable Energy and Environment(ICMREE),pp.730-734,May2011.
[21]Y.Xu,R.Lu,P.Shi,H.Li,and S.Xie,“Finite-time distributed state estimation over sensor networks with Round-Robin protocol and fading channels,”IEEE Trans.Cybernetics,no.99,pp.1-10,Dec.2016.
[22]Y.Xu,R.Lu,P.Shi,J.Tao,and S.Xie,“Robust estimation for neural networks with randomly occurring distributed delays and Markovian jump coupling,”IEEE Trans.Neural Networks and Learning Systems,no.99,pp.1-11,Jan.2017.
[23]Y.Xu,R.Lu,H.Peng,K.Xie,and A.Xue,“Asynchronous dissipative state estimation for stochastic complex networks with quantized jumping coupling and uncertain measurements,”IEEE Trans.Neural Networks and Learning systems,vol.28,no.2,pp.268-277,Feb.2017.
[24]L.Zhu,“Dynamics of switching van der Pol circuits,”Nonlinear Dynamics,vol.87,no.2,pp.1217–1234,Jan.2017.
[25]G.Farivar,V.Agelidis,and B.Hredzak,“A simple perturb and observe MPPT scheme for bridge based photovoltaic system,”in proceedings of 2013 Australasian Universities Power Engineering Conference(AUPEC),pp.1-5,Oct.2013.
[26]H.Deopare and A.Deshpande,“Modeling and Incremental conductance maximum power point tracking,”in proceedings of 2015 International Conference on Energy Systems and Applications(ICESA),pp.501-505,Nov.2015.
[27]Y.Sun,X.Wu,J.Cao,Z.Wei,and G.Sun,“Fractional extended Kalman filtering for nonlinear fractional system with Lévy noises,”IET Control Theory&Applications,vol.11,no.3,pp.349-358,Feb.2017.
[28]Y.Wang,T.Bian,J.Xiao,and C.Wen,“Global synchronization of complex dynamical networks through digital communication with limited data rate,”IEEE Trans.Neural Networks and Learning Systems,Vol.26,No.10,pp.2487-2499,Oct.2015.
[29]X.Liu,Y.Wang,J.Xiao,and W.Yang,“Distributed hierarchical control design of coupled heterogeneous linear systems under switching networks,”Int.J.Robust and Nonlinear Control,Vol.27,No.28,pp.1242-1259,May.2017.
[30]L.Bai,Q.Hu,F.Li,T.Ding,and H.Sun,“Robust mean-variance optimization model for grid-connected microgrids,”in proceedings of 2015 IEEE Power&Energy Society General Meeting(PES),pp.1-5,Jul.2015.
[31]T.Jiang,H.Yuan,H.Zhou,and F.Li,“Stochastic subspace identification-based approach for tracking inter-area oscillatory modes in bulk power system utilizing synchrophasor measurements,”IET Gener.Transm.Distrib.,Vol.9,no.15,pp.2409-2418,Nov.2015.
[32]T.Jiang,L.Bai,G.Li,H.Jia,Q.Hu,and H.Yuan,“Estimating inter-area dominant oscillation mode in bulk power grid using multi-channel continuous wavelet transform,”J.Mod.Power Syst.Clean Energy,vol.4,no.3,pp.394–405,Jun.2016.