A multi-objective problems for optimal integration of the DG to the grid using the NSGA-II

Abstract

In recent years, integration of a wide variety of Distributed Generation (DG) technology in distribution networks has become one of the major management concerns for professional engineers. In this paper, one type of the DG i.e. Wind Turbine is optimally integrated in a power network for enhancing the performance of the network. A new variant of Genetic Algorithm (GA) dedicated in multi-objective optimization problems known as Non-dominated Sorting Genetic Algorithm II (NSGA-II) has been proposed for accomplishing the same. To aid the decision maker choosing the best compromise solutions from the Pareto front, the fuzzy-based mechanism is employed for this task. The NSGA-II is used to obtain the optimal integration and sizing of the DG in a suitable load bus of the system. Multi-objective functions are considered as the indices of the system performance viz: maximization of system loadability in system security and stability margin i.e. voltage and line limit whereas minimization of the real power loss of the transmission lines. Simulation studies are undertaken on modified IEEE 14-bus and a practical Indonesia Java-Bali 24-bus systems. Results show that the dynamic performance of the power system can be effectively improved by the optimal integration and sizing of the DG.