Coordinated Voltage Control in Distribution Network with the Presence of DGs and Variable Loads Using Pareto and Fuzzy Logic

José Castro,Maarouf Saad,Dalal Asber,Serge Lefebvre,Laurent Lenoir

doi:10.3390/en9020107

Abstract

This paper presents an efficient algorithm to solve the multi-objective (MO) voltage control problem in distribution networks. The proposed algorithm minimizes the following three objectives: voltage variation on pilot buses, reactive power production ratio deviation, and generator voltage deviation. This work leverages two optimization techniques: fuzzy logic to find the optimum value of the reactive power of the distributed generation (DG) and Pareto optimization to find the optimal value of the pilot bus voltage so that this produces lower losses under the constraints that the voltage remains within established limits. Variable loads and DGs are taken into account in this paper. The algorithm is tested on an IEEE 13-node test feeder and the results show the effectiveness of the proposed model.

Highlights

Due to rapid industrialization and growth of residential and commercial sectors, the electrical energy requirements have increased significantly over the last decades
The reactive power injected from the distributed generation (DG) is zero in this method; the DG does not participate in the regulation of the voltage
Optimal Coordinated Voltage Control (OCVC) proposes a solution for the MO voltage control problem using only Pareto optimization. This method proposes a balanced participation in the reactive power of DG connected to the distribution network

Summary

Introduction

Due to rapid industrialization and growth of residential and commercial sectors, the electrical energy requirements have increased significantly over the last decades. In this situation, renewable energy becomes a very important factor in the electrical distribution system. The DGs may trigger variations in voltage and can cause a change of direction in the power flow. The voltage rise depends on the amount of energy injected by the DG and, it is a limiting factor for the DG capacity. Many researchers have studied DGs and their impact on the voltage, the reduction of the losses in the active and reactive power, and the maximization of the DG capacity [1,2,3]. In [4] a minimization of loss was used to determine the optimum size and location of DG

Objectives

Methods

Results

Conclusion