Optimal Location and Sizing of Distributed Generations in Distribution Networks Considering Load Growth using Modified Multi-objective Teaching Learning Based Optimization Algorithm

Abstract: This paper presents a modified method based on teaching learning based optimization algorithm to solve the problem of the single- and multi-objective optimal location of distributed generation units to cope up the load growth in the distribution network .Minimizing losses, voltage deviation, energy cost and improved voltage stability are the objective functions in this problem. Load growth in a system is a natural phenomenon. As the value of distribution system indices depend on load growth, any change in load causes changes in distribution system indices. Therefore, for assessing the current studies the level of validity and the adequacy of system in future, load growth in future are discussed. The proposed algorithm integrates an adaptive teaching factor, and a crossover and mutation strategy. In the proposed algorithm, an external repository is considered to save non-dominated (Pareto) solutions. Since the objective functions are not the same, a fuzzy clustering technique is used to select the best compromise solution from the repository. The proposed algorithm is tested on the 33-bus IEEE test system. To demonstrate the effectiveness of the proposed approach, simulation results are compared with the results obtained by other methods.