Multi-objective capacity optimization configuration of independent wind-photovoltaic- hydrogen-battery system based on improved MOSSA algorithm

Under the background of large-scale and rapid development renewable energy, in order to improve economic benefit system ensure reliability system, this paper introduces hydrogen production energy storage into independent wind/photovoltaic/hydrogen/storage capacity optimization configuration method. In minimize total planning cost self-sufficiency rate power supply, a allocation model was established. On basis model, Multi-objective Salp Swarm Algorithm (MOSSA) improved structure, Tent chaotic mapping introduced initialize population, positions leaders followers were updated based on adaptive spiral search strategy. The validity algorithm is verified by test function. Finally, specific example solved MATLAB programming, multi-objective (IMOSSA) used obtain scheme, which provides reference for design photovoltaic system.