Locomotion-based Hybrid Salp Swarm Algorithm for Parameter Estimation of Fuzzy Representation-based Photovoltaic Modules

Identifying the parameters of photovoltaic (PV) modules is significant for their design and simulation. Because instabilities in weather action land surface earth, which cause errors measuring, a novel fuzzy represen-tation-based PV module formulated developed. In this paper, locomotion-based hybrid salp swarm algorithm (LHSSA) presented to identify accurately reliably. LHSSA, better leader salps based on particle optimization (PSO) are incorporated traditional (SSA) serialized scheme with aim providing more valuable information SSA. By integration, proposed LHSSA can escape local optima as well guide seeking process attain promising region. The investigated different models, i. e., single-diode (SD), double-diode (DD), crisp aspects. comparing algorithms, comprehensive results affirm that achieve highly competitive performance, especially quality reliability.