Reliability Evaluation of Electric Distribution Network with Distributed Generation Integrated

Abstract

The electrical power system, especially that of the Electric Distribution Network (EDN) is more complex for the rapid deployment and penetration of Distributed Generation (DG). The DGs in the EDN are vulnerable to faults, and the reliability index considered is a critical factor in the work continuation of the EDN. The Particle Swarm Optimization (PSO) is modified to restrict the particle velocities when it runs to obtain the optimum solution for DG placement and capacity in the distribution network. This modification prevents the velocities from reach an acceptable level within a few iterations. This paper presents a new approach and good analysis to the evaluation of reliability and estimates the optimal location and capacity of the DGs units with multi-objective functions for power loss reduction and improves voltage profile. The optimization approach is based on the new Modified Particle Swarm Optimization (MPSO) for decision-making on strategic distribution system points for location and capacity of DGs using Matlab software.In this study, reliability is evaluated using the "Electrical Transient Analyzer Program, ETAP" and applied on an IEEE 33-bus test system. The obtained results of the proposed approach show superior on the other methods a reduction in real power losses by (60.13%) and an improvement in voltage profile by (88.34%).

Effects of integration of distributed generation on reliability in distribution system

“…As a result, both from a technical and financial standpoint, the reliability of distribution networks is regarded as one of the most major challenges. For this reason, to be in competition, the service company will see for means to reduce expenses and also supply the suitable level of reliability for its consumers [2]. The main function of electrical utility company operating in Int J Pow Elec & Dri Syst ISSN: 2088-8694  a deregulated atmosphere is to rise the market value of facilities it offers to customers.…”

Simultaneous Optimal Network Reconfiguration and Allocation of Four Different Distributed Generation Types in Radial Distribution Networks Using a Graph Theory-Based MPSO Algorithm

“…In [17] a novel approach and a sound analysis was introduced for reliability assessment and determination of the optimal site and DGs unit capacity with multi-objective functions to reduce the power loss and enhance the voltage profile, in that paper a modified particle swarm optimization (MPSO) was used to determine the optimal location and the size of DGs units using MATLAB software and the reliability was assessed on IEEE 33-bus radial distribution test system using electrical transient analyzer program (ETAP) . In [18] hunterprey optimization (HPO), a new and effective metaheuristic technique, was introduced to find the optimal placement and sizing of the photovoltaic (PV) systems in RDNs, maximizing PV hosting capacity (HC) is the primary goal in addition to loss minimization and voltage profile enhancement where maximizing PV systems HC in RDNs guarantees performance improvement in terms of decreasing reliance on the grid, greenhouse gas emissions, and distribution losses in addition to an improved voltage profile.…”

The Exploration of Wild Horse Optimization in Reliability Redundancy Allocation Problems

“…al., proposed two diverse approaches, using Zadeh's extension principle and modification of fuzzy parametric programming, to consider uncertainty in the overspeed protection system [13]. Lately in 2021, Jaleel and Abd presented a modified PSO approach with analysis to evaluate reliability and estimate optimal locations and capacities of the DGs units using multi-objective functions for reducing powerloss and improving voltage profile [14]. Also in 2021, Ashraf et.…”