Capacity optimization configuration and economic analysis of off-grid type wind-photovoltaic-hydropower-hydrogen energy coupling system

Aiming at the problems of low energy efficiency and poor economy in the off-grid hydrogen energy coupling new energy system, this paper innovatively proposes the method of capacity optimization configuration (COC) of off-grid type wind-photovoltaic-hydropower-hydrogen energy coupling system. Firstly, a multi-objective function is constructed to minimize the cost of hydrogen production and the abandonment rate of new energy (wind and PV). Secondly, based on the net power condition of the system, the optimal operation control strategy (OCS) of the multi coupling system is proposed. Then, the multi-objective function is combined with the control strategy to form the COC model, and the constraints such as the upper and lower limits of the electrolytic cell are taken as constraints, and the improved particle swarm optimization algorithm (IPSOA) is used to solve the COC model. Finally, the effectiveness and economy of the proposed method are verified by analyzing the results of capacity allocation and economy.