Optimal Allocation of DSTATCOM in Distribution Network Using Whale Optimization Algorithm

P Balamurugan,P Muthukannan,T Yuvaraj

doi:10.48084/etasr.2302

Abstract

This paper deals with a new approach implemented to decrease power losses and improve voltage profile in distribution networks using Distribution STATic COMpensator (DSTATCOM). DSTATCOM location can be determined by the voltage stability index (VSI) and sizing can be identified by nature inspired, recently developed whale optimization algorithm (WOA). To check efficacy, the proposed technique is tested on two standard buses: Indian rural electrification 28-bus and IEEE 69-bus distribution systems. Obtained results show that optimal allocation of DSTATCOM effectively reduces power losses and improves voltage profile.

Highlights

High R/X ratio in distribution networks causes poor power quality in a distribution system [1]
A new strategy can be designed for determining the location and size of DSTATCOM to reduce system power loss, improve voltage profile, power factor, load balancing and power quality, free from distribution line overloading, enhance system stability, decrease pollutant emissions, and increase system efficiency [10]
Proposed Work Implementation whale optimization algorithm (WOA) approach to reduce power losses and enhance voltage profile by placing DSTATCOM optimally in the network is described by the following steps:

Summary

INDRODUCTION

High R/X ratio in distribution networks causes poor power quality in a distribution system [1]. A new strategy can be designed for determining the location and size of DSTATCOM to reduce system power loss, improve voltage profile, power factor, load balancing and power quality, free from distribution line overloading, enhance system stability, decrease pollutant emissions, and increase system efficiency [10]. This proposed optimization algorithm is developed on the activities and performance behavior of the whales. WOA is effectively utilized for finding the optimal size and location of the DSTATCOM in a distribution network. This biological based algorithm effectively reduces the exploration area. Total power loss in the system is calculated by summing up of all losses in every line section:

Objective Function Objective function’s mathematical formulation is stated as

RESULTS AND DISCUSSION

Proposed Method

CONCLUSION