Optimal Configuration of Wind-Solar-Energy Storage Capacity for Large-Scale Renewable Energy Bases Based on Golden Section Search Method

Recently, China has initiated the construction of large-scale new energy bases to transmit the abundant wind and solar energy from the northwest to the eastern regions. The capacity configuration of wind-solar-storage system significantly influences the effect of new energy transmission. This paper investigates the optimal capacity configuration of wind-solar-storage system for large-scale new energy bases and proposes a configuration method based on the golden section search algorithm. First, a three-stage transmission power curve arrangement method for HVDC systems is proposed based on the load curve of the receiving-end power grid. Using the derived HVDC operation curve, a hyper optimization model for the optimal capacity configuration of wind-solar-storage system is constructed, and the golden section search method is adopted to solve the optimization model. The effectiveness of the proposed method lies in its ability to optimize and determine the appropriate wind-solar-storage capacity ratio efficiently, while minimizing the number of iterations. Feasibility and effectiveness of the proposed approach are demonstrated in the case studies.