Optimal design and scheduling of integrated wind-photovoltaic-storage hydropower cogeneration system

Water and energy shortages are a serious constraint to the development of coastal as well as island economies. Coupling a 100% renewable energy sources generation system with hydropower cogeneration can effectively solve this problem. In this paper, an optimization and scheduling model for an integrated wind-photovoltaic-storage desalination system is developed. Firstly, a mathematical and economic model of the units is established, with the objective of minimizing total annual cost of the system. A genetic algorithm (GA) is used to solve and get the optimal structure and capacity configuration of the system for four typical days: spring, summer, autumn and winter. The satisfaction rate of hydropower in the system is greater than 99%, and the abandonment rate of wind and light in the system is less than 2%. The optimal operating scenarios for each typical day is established, including the production loads of the wind, photovoltaic, and reverse osmosis units, the matching relationship between supply and demand, and the operating status of each unit’s equipment. The results show that the power supplied by the wind and solar hybrids is relatively smooth in all typical days. The operating load of the reverse osmosis unit varies greatly, but the duration of rated power operation is around 50%. The pumped storage unit also gives full play to its role in peak shaving and valley filling, accounting for more than 75% of the operating on all typical days. The system designed in this paper provides guidance for the industrial operation of hydropower cogeneration systems. © 2024 Chemical Industry Press Co., Ltd.. All rights reserved.