Energy Saving Maximization of Balanced and Unbalanced Distribution Power Systems via Network Reconfiguration and Optimum Capacitor Allocation Using a Hybrid Metaheuristic Algorithm

Mohamed Abd-El-Hakeem Mohamed,Mahrous Ahmed,Ziad M Ali,Saad F Al-Gahtani

doi:10.3390/en14113205

Abstract

The main aim of this work was the maximization of the energy saving of balanced and unbalanced distribution power systems via system reconfiguration and the optimum capacitor’s bank choice, which were estimated by using a new algorithm: modified Tabu search and Harper sphere search (MTS-HSSA). The results demonstrated that the proposed method is appropriate for energy saving and improving performance compared with other methods reported in the literature for IEEE 33-bus adopted systems, including large scale systems such as IEEE 119 and the IEEE 123 unbalanced distribution system. Moreover, it can be used for unbalanced distribution systems distributed generators (DGs). The results demonstrated that the proposed method (the optimal choice of shunt capacitor (SC) banks and the optimal reconfiguration via the proposed algorithm) is appropriate for energy saving compared with different strategies for energy saving, which included distributed generation (DG) at different cost levels.

Highlights

The maximization of energy saving of the distribution system is inspired by many strategies, such as a distribution system reconfiguration and optimum capacitor allocation [1,2,3] where allocation of shunt capacitors offered several benefits to the distribution power systems, maximizing energy saving and improving the voltage profile
The results demonstrate that the proposed method is appropriate for energy saving and improving performance compared with other methods reported in the literature for IEEE 33-bus adopted systems, including large scale systems such as IEEE 119 and the IEEE 123 unbalanced distribution system
The results demonstrate that the proposed method is appropriate for energy saving compared with different strategies for energy saving that included distributed generation (DG) at different cost levels

Summary

Introduction

The maximization of energy saving of the distribution system is inspired by many strategies, such as a distribution system reconfiguration and optimum capacitor allocation [1,2,3] where allocation of shunt capacitors offered several benefits to the distribution power systems, maximizing energy saving and improving the voltage profile. System reconfiguration can be used to ease the current feeders, improving the voltage profile of the system and maximizing energy saving. The simulating annealing algorithm (SAA) [6], Tabu search (TS) [7], the genetic algorithm (GA) [8], cuckoo search algorithms [9,10], particle swarm optimization (PSO) [11], the bee colony algorithm [12], the ant colony algorithm [13], and the firefly algorithm [14] were presented to solve the problem of shunt capacitor allocation placement.

Methods

Results

Conclusion