Implementation And Analysis Based On Power Grid On Energy Storage System Quality

Abstract

With an increasing need to install variable renewable energy sources to the grid, energy storage (ES) has become a key component for electrical grids to maintain stability. Various methods have been developed to optimize siting of ES systems to benefit a certain actor in the power grid, such as consumers, system operators, or power generators, or to optimize a particular variable, such as frequency, voltage, investment profits, or operator costs. In this project, a new method has been developed to maximize the efficiency of the grid by determining optimal ES siting and to evaluate the impact of grid structure on ES performance. The method is able to decouple the impact of grid structure on grid performance from other factors to show which grid structure is best for ES performance. Inspired by a centrality concept known as net ability that determines the importance of transmission lines, the net ability equation was modified to include ES within the grid. This paper introduces a weighted topological method called ES net ability that considers capacity, impedance, power transfer distribution factor (PTDF), and node type. ES net ability was also compared to another centrality concept known as betweenness.