Renewable Energy Source Optimization Based on Pumped-Storage Hydroelectricity

Abstract

In 2019–2020, with encouragement from the Government in promoting the development of renewable energy sources, Vietnam has witnessed the rapid growth of solar and wind power sources. By the end of 2020, there were 16,700MW of solar power capacity connected to the national grid and accounted for 24 percent of the capacity of the whole national grid. These renewable energy sources are mainly concentrated in the Ninh Thuan and Binh Thuan provinces of Vietnam. The transmission power grid has not developed in time in this area to relieve all power sources, so there has been an overcapacity situation that has led to a reduction in the generating capacity of power plants, causing a waste of resources. In this paper we introduce renewable energy source storage technology based on pumped-storage hydroelectricity (PSH) technology, evaluating the role of a PSH plant in balancing the capacity of the power system when the system is connected to unstable power sources such as solar and wind power. Also, in this research, we propose Model Predictive Controller (MPC) built through LabView software to control the power balance on the grid. The results of the research show that the solution to building a PHS plant to optimize renewable energy sources in the central provinces of Vietnam is the right solution for Geographically favorable conditions, PHS also brings economic profit and stabilizes Vietnam's electricity system