Storage System Expansion Planning Problem With Renewable Energy Integration

Modernizing the electric system will help the nation meet the challenge of handling projected energy needs—including addressing climate change by integrating more energy from renewable sources and enhancing efficiency from non-renewable energy processes. Significant use of clean energy is important considering the present climatic conditionsAdvances to the electric grid must maintain a robust and resilient electricity delivery system, and energy storage can play a significant role in meeting these challenges by improving the operating capabilities of the grid, lowering cost and ensuring high reliability, as well as deferring and reducing infrastructure investments. Finally, energy storage can be instrumental for emergency preparedness because of its ability to provide backup power as well as grid stabilization services.With persistently increasing fuel prices and growing environmental concerns, the energy from renewable resources, particularly wind energy is becoming immensely popular throughout the world. However, the main drawback of wind power or solar is its inherent variability and uncertainty of source. This has ignited a renewed interest in Energy Storage Systems (ESS) systems. ESS today is considered the most effective method to overcome the variability problems of renewable sourcesIn this thesis, the introduction of ESS in the electric grid is investigated for its economic feasibility. ESS is being used as the means to balance variation and minimize the overall generation cost of the power system with renewable energy integration. Expansion of system is studied with more percentage of renewable energy integration and less percentage of fuel consumption by conventional power sources and comparison is done between conventional and proposed systemA chance constrained model is considered and has been proposed to deal with the uncertainties associated with the Renewable Energy System and Evolutionary based GA is used to solve the model. The model is implemented in MATLAB and applied to a case that lies in the west of China. The results contain the fact that energy storage system can be used as a reliable source for large scale integration of renewable energy system.