Optimal Placement and Sizing of Distributed Generation Via an Improved Nondominated Sorting Genetic Algorithm II

The use of distributed generation units in distribution networks has attracted the attention of network managers due to its great benefits. In this research, the location and determination of the capacity of distributed generation (DG) units for different purposes has been studied simultaneously. The multi-objective functions in the optimization model are reducing system line losses; reducing voltage deviation; increasing voltage stability margin and reduce the networkchr('39')s short circuit when DG units are considered in the distribution network (DN). To calculate the values ​​of mentioned multi-objective functions, backward/forward sweep load-flow and short circuit calculation are used. To solve the problem, a multi-objective optimization algorithm called improved non-dominated sorting genetic algorithm–II (INSGA-II) is used. This algorithm leads to the creation of various responses that the user can choose, as needed, for each one. A tradeoff method based on fuzzy set theory is used to obtain the best optimal solution. The proposed method is examined on the IEEE 33-bus test case with the consideration of different scenarios. The feasibility and effectiveness of the proposed algorithm for optimal placement and sizing of DG in distribution systems have been proved.