TLBO-based approach to optimally place and sizing of energy storage system for reliability enhancement of radial distribution system

This paper presents an algorithm for optimal placement and sizing of energy storage systems (ESSs) to enhance the reliability of a radial distribution system employing teacher learning-based optimization (TLBO) method. The location and size of ESSs have great impact on system reliability. However, the number of placed ESSs increases the overall cost of the system. Hence, the algorithm is designed to minimize the objective function of problem, which includes cost of energy not supplied (CENS), an additional cost such as investment cost and operational cost of ESSs (life cycle cost), and power loss due to line flows in distribution system. The proposed algorithm utilizes the TLBO method to minimize the objective function. To assess the performance of the algorithm, IEEE standard 30-bus radial distribution system has been considered. The optimal location and size of ESSs have been obtained by considering various case studies. Subsequently, comparative performance analysis is done on results obtained by using TLBO, particle swarm optimization (PSO), differential evolution (DE), and genetic algorithm (GA). Furthermore, rigorous analysis is performed by imposing limit on number of applied ESSs and by varying the maximum capacity of participating ESSs. Lastly, the application of proposed method for placement of ESSs in IEEE 69-bus distribution system provides 17% reduction in total cost of operation.