Hybrid MPPT algorithm for PV systems under partially shaded conditions using a stochastic evolutionary search and a deterministic hill climbing

• Autorzy: Basiński K. , Ufnalski B. , Grzesiak L. M.

Identyfikatory

DOI

10.5277/PED170212

• Języki publikacji: EN

Abstrakty

EN

A hybrid maximum power point tracking method has been proposed for the photovoltaic system using a stochastic evolutionary search and a deterministic hill climbing algorithm. The proposed approach employs the particle swarm optimizer (PSO) to solve a dynamic optimization problem related to the control task in a PV system. The position of the best particle is updated by the hill climbing algorithm, and the position of the rest of the particles by the classic PSO rule. The presented method uses the re-randomization mechanism, which places five consecutive particles randomly, but in specified intervals. This mechanism helps track the maximum power point under partially shaded conditions.

Słowa kluczowe

EN

maximum power point tracking; photovoltaic system; hybrid part-stochastic part-deterministic search rule; particle swarm optimization (PSO); partial shading; hill climbing

• Wydawca: De Gruyter
• Czasopismo: Power Electronics and Drives
• Rocznik: 2017
• Tom: Vol. 2 (37), No. 2
• Strony: 49--59
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Basiński K.

• Warsaw University of Technology, Institute of Control and Industrial Electronics, ul. Koszykowa 75, 00-662 Warsaw, Poland

autor

Ufnalski B.

• Warsaw University of Technology, Institute of Control and Industrial Electronics, ul. Koszykowa 75, 00-662 Warsaw, Poland

autor

Grzesiak L. M.

• Warsaw University of Technology, Institute of Control and Industrial Electronics, ul. Koszykowa 75, 00-662 Warsaw, Poland

Bibliografia

• [1] GAKKHAR N., SONI M.S., Techno-Economic Parametric Assessment of CSP Power Generations Technologies in India, 4th Int. Conf. Advances in Energy Research, ICAER 2013, En. Proc., 2014, 54, 152-160.
• [2] SUFANG Z., YONGXIU H., Analysis on the development and policy of solar PV power in China, Ren. Sust. En. Rev., 2013, 21, 393-401.
• [3] HOSENUZZAMAN M., RAHIM N.A., SELVARAJ J., HASANUZZAMAN M., MALEK A.B.M.A., NAHAR A., Global prospects, progress, policies, and environmental impact of solar photovoltaic power generation, Ren. Sust. En. Rev., 2015, 41, 284-297.
• [4] KOT R., STYNSKI S., MALINOWSKI M., Hardware methods for detecting global maximum power point in a PV power plant, Proc. IEEE Int. Conf. Industrial Technology, ICIT, 2015, 2907-2914.
• [5] LOGESWARANA T., SENTHILKUMARB A., A review of maximum power point tracking algorithms for photovoltaic systems under uniform and non-uniform irradiances, 4th Int. Conf. Advances in Energy Research, ICAER 2013, India, 2013, 228-235.
• [6] ISHAQUE K., SALAM Z., AMJAD M., MEKHILEF S., An improved particle swarm optimization (PSO)-based MPPT for PV with reduced steady-state oscillation, IEEE Trans. Ind. Electron., 2012, 60(8), 3627-3638.
• [7] ISHAQUE K., SALAM Z., A deterministic particle swarm optimization maximum power point tracker for photovoltaic system under partial shading condition, IEEE Trans. Power Electron., 2013, 27(8), 3195-3206.
• [8] BALAMURUGAN M., NARENDIRAN S., SAHOO S.K., DAS R., SAHOO A.K., Application of particle swarm optimization for maximum power point tracking in PV system, 3rd Int. Conf. Electrical Energy Systems (ICEES), India, 2016, 35-38.
• [9] SHI J., ZHANG W., ZHANG Y., XUE F., YANG C.T., MPPT for PV systems based on a dormant PSO algorithm, El. Power Syst. Res., 2015, 123, 100-107.
• [10] RENAUDINEAU H., DONATANTONIO F., FONTCHASTAGNER J., PETRONE G., SPAGNUOLO G., MARTIN J.-P., PIERFEDERICI S., A PSO-based global MPPT technique for distributed PV power generation, IEEE Trans. Ind. Electron., 2015, 62(2), 1047-1058.
• [11] LIU Y.-H., HUANG S.-C., HUANG J.-W., LIANG W.-C., A particle swarm optimization-based maximum power point tracking algorithm for PV systems operating under partially shaded conditions, IEEE Trans. En. Conv., 2012, 27(4), 1027-1035.
• [12] BOUARROUDJ N., BOUKHETALA D., DJARI A., RAIS Y., BENLAHBIB B., FLC based Gaussian membership functions tuned by PSO and GA for MPPT of photovoltaic system. A comparative study, 6th Int. Conf. Systems and Control (ICSC), Algeria, 2017, 317-322.
• [13] YANG Z., DUAN Q., ZHONG J., MAO M., XUN Z., Analysis of improved PSO and perturb and observe global MPPT algorithm for PV array under partial shading condition, 29th Chinese Control and Decision Conference, China, 2017, 549-553.
• [14] MAO M., DUAN Q., ZHANG L., CHEN H., HU B., DUAN P., Maximum power point tracking for cascaded PVconverter modules using two-stage particle swarm optimization, Sci. Rep., 2017, 7, art. No. 9381.
• [15] MAO M., ZHANG L., DUAN Q., CHEN H., OGHORADA O.J.K., DUAN P., HU B., A two-stage particle swarm optimization algorithm for MPPT of partially shaded PV arrays, Sci. Rep., 2017, 7, 694-702.
• [16] KOAD R.B., ZOBAA A.F., EL-SHAHAT A., A novel MPPT algorithm based on particle swarm optimization for photovoltaic systems, IEEE Trans. Sust. En., 2017, 8(2), 468-476.
• [17] UFNALSKI B., GRZESIAK L.M., Plug-in direct particle swarm repetitive controller with a reduced dimensionality of a fitness landscape – a multi-swarm approach, Bull. Polish Acad. Sci. Techn. Sci., 2015, 63(4), 857-866.
• [18] UFNALSKI B., GRZESIAK L.M., A plug-in direct particle swarm repetitive controller for a single-phase inverter, Przeg. Elektrotechn., 2014, 6, 6-11 (in Polish).
• [19] UFNALSKI B., GRZESIAK L.M., Plug-in direct multi-swarm repetitive controller for the sine wave inverter – on keeping particles diversified in a dynamic and noisy environment, 6th Int. Conf. Power Engineering, Energy and Electrical Drives, 10th Int. Conf. Compatibility and Power Electronics (CPE-POWERENG), Poland, 2016, 484-491.
• [20] UFNALSKI B., MAŁKOWSKI M., GRZESIAK L.M., Hybrid repetitive controller using a stochastic evolutionary search and a deterministic iterative learning law, 21st Int. Conf. Methods and Models in Automation and Robotics MMAR 2016, Poland, 2016, 88-93 (in Polish).
• [21] UFNALSKI B., GRZESIAK L.M., MAŁKOWSKI M., Hybridization schemes for particle swarm iterative learning controllers in repetitive systems, 19th Eur. Conf. Power Electronics and Applications EPE ’17 ECCE Europe, Poland, 2017, P.1–P.10.
• [22] BASINSKI K., UFNALSKI B., GRZESIAK L.M., Particle swarm based repetitive spline compensator for servo drives, Przegl. Elektrotechn., 2017, 2, 181-187 (in Polish).
• [23] BASINSKI K., UFNALSKI B., MPPT for PV using PSO, [Online], Available: https://www.mathworks.com/matlabcentral/fileexchange/64629-mppt-for-pv-using-pso

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).