Capacity configuration strategy for wind-photovoltaic-battery system based on optimized simulated annealing

Abstract

Abstract Photovoltaic (PV) and wind power are very promising renewable energy sources. Wind-PV has good complementarity, and the battery can better smooth the power fluctuation of wind-PV, so the wind-PV-battery system has been widely used. The capacity configuration of the wind-PV-battery system is a complex issue because many factors affect it. Unlike other studies that focus on many meaningless parameters, the contribution of this paper is that we focus on three key elements, system reliability, cost, and wind-PV energy discard rate (EDR), which are the key factors affecting the capacity configuration of the system because system reliability and cost are factors that cannot be ignored during system operation. At the same time, the EDR is the government’s minimum requirement for system operation. Based on this, this paper establishes an optimization function to minimize the loss of power supply probability (LPSP), cost, and EDR, and then optimizes a simulated annealing (SA) algorithm to improve its optimization speed as well as accuracy, and finally verifies through simulation, that the optimized SA has better performance and can obtain a satisfactory reference configuration for wind-PV-battery capacity. Further, we have also analyzed the effectiveness obtained by applying retired batteries to the energy storage system. In our example, the cost of the system after using retired batteries is only about 61% of the cost of using new batteries, which suggests that utilizing retired batteries instead of new batteries has a better cost performance.