Optimal Multi-type DGs Placement in Primary Distribution System by NSGA-II

摘要

The study proposes a multiobjective optimal placement of multi-type DG for enhancement of primary distribution system performance. A Pareto-based non-dominated sorting genetic algorithm II (NSGAII) is proposed to determine locations and sizes of specified number of Distributed Generator units (DG) within the primary distribution system. Three objective functions are considered as the indexes of the system performance: average Load Voltage Deviation (LVD) minimization of the system real power loss and minimization of the annualized investment costs of DG. A fuzzy decision making analysis is used to obtain the final trade off optimal solution. The proposed methodology is tested on modified IEEE 33-bus radial system. Test results indicate that NSGA-II is a viable planning tool for practical DG placement and useful contribution of DG in improving the steady state system performance of the distribution system by the optimal allocation, setting and sizing multi-type DG.