Optimal Allocation of Large-Capacity Distributed Generation with the Volt/Var Control Capability Using Particle Swarm Optimization

Donghyeon Lee,Insu Kim,Seungwan Son

doi:10.3390/en14113112

Abstract

Widespread interest in environmental issues is growing. Many studies have examined the effect of distributed generation (DG) from renewable energy resources on the electric power grid. For example, various studies efficiently connect growing DG to the current electric power grid. Accordingly, the objective of this study is to present an algorithm that determines DG location and capacity. For this purpose, this study combines particle swarm optimization (PSO) and the Volt/Var control (VVC) of DG while regulating the voltage magnitude within the allowable variation (e.g., ±5%). For practical optimization, the PSO algorithm is enhanced by applying load profile data (e.g., 24-h data). The objective function (OF) in the proposed PSO method considers voltage variations, line losses, and economic aspects of deploying large-capacity DG (e.g., installation costs) to transmission networks. The case studies validate the proposed method (i.e., optimal allocation of DG with the capability of VVC with PSO) by applying the proposed OF to the PSO that finds the optimal DG capacity and location in various scenarios (e.g., the IEEE 14- and 30-bus test feeders). This study then uses VVC to compare the voltage profile, loss, and installation cost improved by DG to a grid without DG.

Highlights

Function added to stabilize the voltage on the grid and a load profile (e.g., 24-h data) that increases the feasibility of distributed generation (DG) allocation
It shows the difference from the previous studies by considering the voltage magnitude variations, losses, and installation costs of DG in the objective function (OF)
We aimed to find the14location and22.34 capacity of DG that minimize 5.51 the OF

Summary

Introduction

Many studies have been conducted to design a reliable and stable connection between distributed renewable energy resources and the system. A study found that connecting distributed generation (DG) to the system could reduce line losses [1] Such a reduction in line losses creates economic benefits for the entire system. Studies based on technical and economic considerations have been conducted on optimizing DG capacity and location [2]. In these studies, it is efficiently feasible to use DG that has a positive effect on the system [3,4,5,6,7]

Methods

Results

Conclusion