Improved Particle Swarm Optimization Algorithm Based Robust Parameter Estimation of Photovoltaic Array Model under Partial Shading Conditions

Parameter estimation of the photovoltaic (PV) array model is able to improve the accuracy of model parameter setting, and also obtain a model consistent with actual situations. It plays a very important role in the maximum power point tracking of PV array and the improvement of micro-grid and at the same time further affects the sustainable development of new energy sources. In order to reduce the impact of gross errors on the results of parameter estimation, Correntropy based parameter estimation for PV array model under partial shading conditions is structured for robust estimation. In view of the fact that traditional particle swarm optimization (PSO) algorithm tends to converge prematurely and has poor local optimization capabilities and it is hard to resolve nonlinear parameter estimation problems with many nonlinear constraints, an algorithm (IPSO_SQP) that combines the improved particle swarm optimization (IPSO) algorithm with sequential quadratic programming (SQP) is proposed to identify the parameters of photovoltaic (PV) arrays under partial shading conditions. to recognize the parameters of PV array under partial shading conditions. The algorithm optimizes the performance of conventional algorithms by introducing nonlinear dynamic updating of inertia weights and learning factors, as well as the Cauchy mutation operator. It is reflected in the use of improved nonlinear iterative formulations to balance the global and local search capabilities of the algorithm, followed by the introduction of the Cauchy mutation operator to avoid the algorithm from falling into local optima and satisfy the nonlinear constraints to obtain a better solution. After simulation and experimental tests, the results indicate that the IPSO_SQP algorithm has high performance and precision in the robust parameter estimation of PV array model under partial shading conditions. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.