Coordinated multi-objective capacity optimization of wind-photovoltaic-pumped storage hybrid system
Yang Li, Outing Li, Feng Wu, Linjun Shi, Shiyi Ma, Boyu Zhou
Abstract
Complementary planning and operation of intermittent renewable energy with energy storage technology is a promising option to accommodate renewable energy generation. To improve the utilization rate of wind and photovoltaic generation, this paper proposes a multi-objective capacity optimization model of wind-solar-pumped storage hybrid system. The objectives of the proposed model include minimizing total investment cost, maximizing system economic revenue and maximizing the improvement of system operation. The transmission line capacity constraints are involved as well. The proposed multi-objective model is transformed into a mixed integer linear programming (MILP) problem using weighted factors. Case study is conducted to illustrate the capacity optimization results with different targets by adjusting weight coefficients.