Summary 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.

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Renewable energy systems particularly consisting of hydropower, wind and solar have became an integral part of power industry owing to their benefits over conventional resources. These resources are not only environmental friendly but also lead to more sustainable progress in developing nations especially South Asian countries. In this paper, a reliability criterion has been developed and explained to decide the best configuration for renewable energy systems (consisting of hydropower/wind/solar etc.) during the planning stage. Two different configurations of renewable energy systems have been analyzed for maximum reliability. Logic diagram approach has been used to represent the systems under consideration. Reliability assessment of these renewable energy systems have been carried out to find out the most suitable arrangement of comprising stages. The aim is to develop a most robust system of renewable resources (hydro/solar and wind) to supply the power to the consumer end. The approach is easy to implement and leads to development of a more practical and economically beneficial renewable energy system in developing Asian countries.

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