Chance-constrained energy management for pumped storage hydropower plant to compensate for wind power uncertainties

Comprehensive development of multiple energy sources is an emerging trend in recent years. Pumped storage hydropower with variable speed pumps (VS-PSH) is characterized by capability of regulating power in both generating and pumping modes to coordinate with stochastic renewable energy. In this context, the optimal energy management strategy for coordinated wind-PSH generation system are proposed considering wind power uncertainties. Firstly, the scheme of the coordinated wind-PSH (WPSH) generation is presented, and the schedule process is illustrated. Secondly, an day-ahead optimization model is proposed with forecast errors of wind power involved using chance-constraints. Then, the presented nonlinear chance-constrained optimization model is transformed into a mix-integer linear programming (MILP) problem, which can be solved by commercial solvers. Finally, a case study is conducted to demonstrate the effectiveness and feasibility of the proposed method.