Abstract
Partial shading has adverse impacts on photovoltaic (PV) systems performance, e.g. power losses (PL) and existence of multiple power maxima points on power-voltage (P–V) curves. To diminish the shading effect, game puzzles are most favourable methods to enhance PV system performance. In addition, the swarm optimization techniques are playing efficient role to find the optimized location of PV module to disperse the shading effect on entire PV array system. The grasshopper optimization (GHO) modified total-cross-tied (TCT) technique, i.e. GHO-TCT and the conventional series–parallel (SP), total-cross-tied (TCT) techniques are used to diminish the adverse impacts of partial shading conditions (PSCs). Using this optimization method to alter PV modules in an array system, greater global maximum power point (GMPP) is accomplished under non-uniform irradiance. MATLAB/Simulink study is carried out to achieve higher power output especially in GHO configuration of PV array system under PSCs. As a result, distinguished performance indices, e.g. power and voltage at GMPP, PL, and FF are observed. During extensive comparison, GHO arrangement produced efficient results to mitigate the impact of PSCs.
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Pachauri, R.K., Kumar, M., Gupta, A.K., Minai, A.F., Sharma, A. (2023). Grasshopper Optimization Technique for PV Array Reconfiguration to Achieve Higher GMPP Under PSCs. In: Reddy, K.R., Kalia, S., Tangellapalli, S., Prakash, D. (eds) Recent Advances in Sustainable Environment . Lecture Notes in Civil Engineering, vol 285. Springer, Singapore. https://doi.org/10.1007/978-981-19-5077-3_26
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DOI: https://doi.org/10.1007/978-981-19-5077-3_26
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