Enhanced Simulated Annealing-based Global MPPT for Different PV Systems in Mismatched Conditions

Photovoltaic (PV) systems are influenced by disproportionate impacts on energy production caused by frequent mismatch cases. The occurrence of multiple maximum power points (MPPs) adds complexity to the tracking process in various PV systems. However, current maximum-power point tracking (MPPT) techniques exhibit limited performance. This paper introduces an enhanced simulated annealing (ESA)-based GMPPT technique against multiple MPP issues in P?V curve with different PV system structures. The proposed technique not only distinguishes global and local MPPs but also performs rapid convergence speed and high tracking accuracy of irradiance changing and restart capability detection. Moreover, the proposed global maximum power tracking algorithm can be applied in the central converter of DMPPT and hybrid PV system to meet various application scenarios. Its effectiveness is verified by simulation and test results.

Statistics

Show / Hide Statistics

Cumulative Counts from September 30th, 2019
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.

Cite this article

[IEEE Style]

F. Wang, T. Zhu, F. Zhuo, H. Yi, Y. Fan, "Enhanced Simulated Annealing-based Global MPPT for Different PV Systems in Mismatched Conditions," Journal of Power Electronics, vol. 17, no. 5, pp. 1327-1337, 2017. DOI: 10.6113/JPE.2019.17.5.1327.

[ACM Style]

Feng Wang, Tianhua Zhu, Fang Zhuo, Hao Yi, and Yusen Fan. 2017. Enhanced Simulated Annealing-based Global MPPT for Different PV Systems in Mismatched Conditions. Journal of Power Electronics, 17, 5, (2017), 1327-1337. DOI: 10.6113/JPE.2019.17.5.1327.