Abstract
Abstract This paper proposed an algorithm employing the Teacher Learning based Optimization (TLBO) method for optimal placement and sizing of energy storage systems (ESSs) to enhance the reliability of a radial distribution system. The formulation of the problem includes the 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 the distribution system. The proposed algorithm utilizes the TLBO method to minimize the objective function. A various case study has been carried out using a 30 bus radial distribution system. A comparative performance analysis is also presented in the paper based on the results obtained by using TLBO, Particle Swarm Optimization (PSO), Differential Evolution (DE), and Genetic Algorithm (GA). Furthermore, rigorous analysis is performed by imposing a limit on the number of applied ESSs and by varying the maximum capacity of participating ESSs. Lastly, the application of the proposed method for placement of ESSs in the IEEE 69 bus distribution system provides a 17% reduction in the total cost of operation.
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