Multi-Objective Optimization of Wind-Photovoltaic-Pumped Storage System Considering Wind and Solar Power Uncertainty

The widespread utilization of renewable energy sources, such as wind and solar energy, plays a crucial role in achieving the dual-carbon goal. However, the uncertainty associated with these energy can impact the stable operation of the power system and the integration of renewable energy. Therefore, this paper focuses on investigating the potential applications of wind-photovoltaic-pumped storage system. A multi-objective optimization model is developed to consider both the maximization of economic benefits and the minimization of system power fluctuations. The model considers the actual output of wind and solar energy as random variables and uses the scenario method to describe their uncertainty. To solve this model, the paper employs a normalization process to transform the multi-objective problem into a single-objective problem. Furthermore, Conditional Value-at-Risk (CVaR) is utilized to convert complex chance constraints into a set of inequalities for solution. Case studies demonstrate that the proposed model effectively enhances the economic benefits of the system and significantly reduces the volatility of power grid connection.