Hydropower Planning in Combination with Batteries and Solar Energy

• Published in: Sustainability 2023-07, Vol.15 (13), p.10002
• Main Author: Coban, Hasan Huseyin
• Format: Article
• Language: English
• Subjects: Alternative energy sources; Analysis; Batteries; Case studies; Efficiency; Electric power demand; Electric power generation; Electricity distribution; Electricity generation; Energy minerals; Energy resources; Energy storage; Force and energy; Fossil fuels; Green technology; Hydroelectric plants; Hydroelectric power; Hydroelectric power generation; Hydroelectric power plants; Mathematical functions; Nuclear energy; Optimization; Power plants; Profits; Quasi Newton methods; Radiation; Renewable energy sources; Renewable resources; Solar energy; Stochastic models; Strategic planning; Sustainability; Sustainable development; Technology application; Wind power
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su151310002

Battery storage is an important factor for power systems made up of renewable energy sources. Technologies for battery storage are crucial to accelerating the transition from fossil fuels to renewable energy. Between responding to electricity demand and using renewable energy sources, battery storage devices will become increasingly important. The aim of this study is to examine how battery storage affects a power system consisting of solar and hydroelectric energy and to draw conclusions about whether energy storage recommends a power system. The method involves designing a model of eight real cascade hydropower power plants and solving an optimization problem. This power system model is based on existing hydroelectric power plants powered by solar energy and batteries in the Turkish cities of Yozgat and Tokat. A case study with four different battery capacities in the system was carried out to assess the implications of energy storage in the power system. The stochastic nonlinear optimization problem was modeled for 72 h and solved with the MATLAB programming tool. The stochastic Quasi-Newton method performs very well in hybrid renewable problems arising from large-scale machine learning. When solar energy and batteries were added to the system, the maximum installed wind power was found to be 2 MW and 3.6 MW, respectively. In terms of profit and hydropower planning, a medium-proportion battery was found to be the most suitable. Increased variability in hydropower generation results from the installation of an energy storage system.