A Novel Global MPP Tracking of Photovoltaic System based on Whale Optimization Algorithm

Abstract

To harvest maximum amount of solar energy and to attain higher efficiency, photovoltaic generation (PVG) systems are to be operated at their maximum power point (MPP) under both variable climatic and partial shaded condition (PSC). From literature most of conventional MPP tracking (MPPT) methods are able to guarantee MPP successfully under uniform shading condition but fails to get global MPP as they may trap at local MPP under PSC, which adversely deteriorates the efficiency of Photovoltaic Generation (PVG) system. In this paper a novel MPPT based on Whale Optimization Algorithm (WOA) is proposed to analyze analytic modeling of PV system considering both series and shunt resistances for MPP tracking under PSC. The proposed algorithm is tested on 6S, 3S2P and 2S3P Photovoltaic array configurations for different shading patterns and results are presented. To compare the performance, GWO and PSO MPPT algorithms are also simulated and results are also presented. From the results it is noticed that proposed MPPT method is superior to other MPPT methods with reference to accuracy and tracking speed.Article History: Received July 23rd 2016; Received in revised form September 15th 2016; Accepted October 1st 2016; Available onlineHow to Cite This Article: Kumar, C.H.S and Rao, R.S. (2016) A Novel Global MPP Tracking of Photovoltaic System based on Whale Optimization Algorithm. Int. Journal of Renewable Energy Development, 5(3), 225-232.http://dx.doi.org/10.14710/ijred.5.3.225-232

Performance analysis of dual‐mode PI controller using quasi‐oppositional whale optimization algorithm for load frequency control

“…WOA is a latest established algorithm by Mirjalili 25 and has been successfully applied for optimal thresh holding for image segmentation 26 and extraction of maximum power from the solar PV. 27 It shows that the WOA offers better accuracy compared with other evolutionary algorithms. WOA is useful for real applications as reviewed in literature.…”

Comparative performance analysis of 2DOF state feedback controller for automatic generation control using whale optimization algorithm

“…21 The WOA is also applied for optimal thresholding for image segmentation, 22 maximum power point tracking for solar photovoltaic under both variable climatic and partial shaded condition. 23 It shows that the WOA offers better accuracy compared to other evolutionary algorithms. Due to exploration and exploitation phases of WOA, it has an ability to avoid local optima and get the global optimal solution, which is useful for real applications.…”

Optimization of the maximum power point of photovoltaic working under partial shading conditions

“…Tuy nhiên, công suất đạt được bị dao động lớn và dễ rơi vào cực trị địa phương (LMPP) khi bức xạ của các module không đồng đều. Vì vậy, ngoài phương pháp truyền thống là P&O và điện dẫn gia tăng (Incremental Conductance-INC), gần đây nhiều giải thuật tối ưu khác cũng đã được đề xuất để cải thiện nhược điểm của giải thuật truyền thống như: Modified PSO (M-PSO), Bat Algorithm (BA), Whale Optimization Algorithm (WOA), Firework Algorithm (FWA), Grey Wolf Optimization (GWO), Ant Colony Optimization (ACO), Firefly Algorithm (FFA), hay sự kết hợp giữa các giải thuật với nhau như PSO-P&O, INC-FFA, FWA-P&O [3][4][5][6][7][8][9][10][11][12][13] . Hiệu suất, tốc độ hội tụ, độ phức tạp và chi phí nói lên tính khả thi của giải pháp.…”