MULTI-OBJECTIVE PLANNING OF CAPACITORS IN DISTRIBUTION NETWORKS WITH CONSIDERATION OF UNCERTAINTIES

This paper suggests a method based on stochastic multi-objective modeling for integration of capacitors in distribution networks. The suggested strategy determines the optimal location and size of capacitors through optimizing four different objective functions simultaneously. The integrity, efficiency and voltage profile of the system will be improved by having proper value of capacitors’ size and location. In this paper, the load and price uncertainties, due to their great effect in planning and operation of power systems, are taken into consideration by suggested methodology which leads to the best solution for the planning problem of networks. The most efficient algorithm known as NSGA II is applied to find non-dominated solutions that allows the DisCo to exercise his/her preferences. In this study, in order to achieve the highest performance of power system, the operational features are considered as hard limit constraints. The proposed method is applied on 33-bus distribution network. The obtained simulation results are presented and discussed to show the effectiveness of the suggested method.

Keywords:

Capacitor sitting and sizing , electric distribution system , Uncertainty modeling , Scenario Based-Stochastic Programming , Multi-Objective , Genetic Algorithm