Research on capacity allocation optimization of a wind-photovoltaic-hybrid-battery power generation system with multi-energy complementary

The output of complementary energy is the core of power generation system planning, and researching its configuration is the basis for realizing safe, reliable, economical and stable operation of the system throughout total life cycle. This paper comprehensively considers the constraints of power supply reliability and battery energy storage operation, and proposes a capacity optimization method for wind-photovoltaic-hydro-storage system aiming at life cycle cost and unit cost of electricity. Take the Northwest Region as an example, the optimization problem was solved by HOMER software, the optimal capacity allocation result was obtained. Compared with other solutions, the life cycle cost was reduced by 12.1%, the unit cost of electricity was reduced by 11.9%, and the load power shortage rate probability was relatively reduced. The result prove that the complementary system helps to reduce power generation cost and improve power supply stability.