A Novel Modified Sine-Cosine Optimized MPPT Algorithm for Grid Integrated PV System under Real Operating Conditions

摘要： This research work presents a modified sine-cosine optimized Maximum Power Point Tracking (MPPT) algorithm for grid integration. Developed algorithm provides a maximum power (PV) panel and simplified extraction implementation with benefit high convergence velocity. Moreover, the performance and ability of Modified Sine-Cosine Optimized (MSCO) algorithm equated with recent Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) algorithms for comparative observation. Practical responses analyzed under steady state, dynamic and partial shading conditions by using dSPACE real controlling board laboratory scale hardware implementation. The MSCO based MPPT algorithm always shown the fast convergence rate, easy implementation, less computational burden and accurate to track the optimal PV power under varying weather conditions. Experimental results provided in the article clearly shown the validation of the proposed algorithm.