Optimal Scheduling Design of Distributed Wind-PV-hydro Power System Integrated with Pumped Storage Technology via Multi-objective Model

As global environmental concerns grow, there has been an increased research focus on the development and utilization of distributed renewable energy systems. In this paper, a multi-objective optimization model is established to investigate the effectiveness of a distributed wind-photovoltaic-hydropower hybrid energy system, in which a pumped storage system is integrated to store the excess wind and photovoltaic power. Based on an uncertainty and multi-stage dynamic programming analysis, the optimization model aims to minimize output fluctuations and power curtailment and balance power supply and demand under the energy and grid constraints. It was found that the wind-PV-hydro-pumped system was able to play a balancing role on the power grid, and performed well on controlling power curtailment. The managerial suggestions combined with reality are given, which could be of significant assistance to policymakers and managers to make decisions.