Journal ArticleDOI
Optimal Placement and Sizing of Distributed Generation and Capacitor Banks in Distribution Systems Using Water Cycle Algorithm
TLDR
The proposed water cycle algorithm (WCA) for optimal placement and sizing of DGs and CBs gives the flexible operation with controllable power factor DGs that is better than those using DGs at fixed power factor.Abstract:
Integration of distributed generation units (DGs) and capacitor banks (CBs) in distribution systems aim to enhance the system performance. This paper proposes water cycle algorithm (WCA) for optimal placement and sizing of DGs and CBs. The proposed method aims to achieve technical, economic, and environmental benefits. Different objective functions: minimizing power losses, voltage deviation, total electrical energy cost, total emissions produced by generation sources and improving the voltage stability index are considered. WCA emulates the water flow cycle from streams to rivers and from rivers to sea. Five different operational cases are considered to assess the performance of the proposed methodology. Simulations are carried out on three distribution systems, namely IEEE 33-bus, 69-bus test systems, and East Delta network, as a real part of Egyptian system. The simulated results demonstrate the effectiveness of the proposed method compared with other optimization algorithms. Also, the results demonstrate that the proposed WCA gives superior performance for the system and give distinguished improvements in both economic and environmental benefits. Moreover, the results give the flexible operation with controllable power factor DGs that is better than those using DGs at fixed power factor.read more
Citations
More filters
Journal ArticleDOI
COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach
Miodrag Zivkovic,Nebojsa Bacanin,K. Venkatachalam,Anand Nayyar,Aleksandar Djordjevic,Ivana Strumberger,Fadi Al-Turjman +6 more
TL;DR: Wang et al. as mentioned in this paper proposed a hybrid approach between machine learning, adaptive neuro-fuzzy inference system and enhanced beetle antennae search swarm intelligence metaheuristics to predict the number of the COVID-19 cases.
Journal ArticleDOI
A Hybrid Local Search-Genetic Algorithm for Simultaneous Placement of DG Units and Shunt Capacitors in Radial Distribution Systems
TL;DR: An enhanced genetic algorithm (EGA) that combines the merits of genetic algorithm and local search to find the optimal placement and capacity of the simultaneous allocation of DGs/SCs in the radial systems is proposed.
Journal ArticleDOI
Optimal allocation of distributed generators DG based Manta Ray Foraging Optimization algorithm (MRFO)
Mahmoud G. Hemeida,Abdalla Ahmed Ibrahim,Al-Attar Ali Mohamed,Salem Alkhalaf,Ayman M. Bahaa El-Dine +4 more
TL;DR: In this study the Manta Ray Foraging optimization algorithm (MRFO) is applied to minimize power losses through sizing and allocation of DG type I integrated into radial distribution network (RDN).
Journal ArticleDOI
Optimal Harmonic Mitigation in Distribution Systems with Inverter Based Distributed Generation
Ahmed S. Abbas,Ragab A. El-Sehiemy,Adel A. Abou El-Ela,Eman S. Ali,Karar Mahmoud,Matti Lehtonen,Mohamed M. F. Darwish +6 more
TL;DR: A harmonic mitigation method for improving the power quality problems in distribution systems is proposed and the effectiveness of the proposed planning model is demonstrated where significant reductions in the harmonic distortion are accomplished.
Journal ArticleDOI
Optimal Sizing and Placement of Capacitor Banks and Distributed Generation in Distribution Systems Using Spring Search Algorithm
TL;DR: In this paper, the optimal sizing and placement of CBs and DGs using Spring Search Algorithm (SSA) is proposed to attain economic, technical, and environmental advantages.
References
More filters
Journal ArticleDOI
A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems
TL;DR: A novel hybrid Genetic Algorithm (GA) / Particle Swarm Optimization (PSO) for solving the problem of optimal location and sizing of DG on distributed systems is presented to minimize network power loss and better voltage regulation in radial distribution systems.
Journal ArticleDOI
Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation
TL;DR: In this paper, a meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously reconfigure and identify the optimal locations for installation of DG units in a distribution network.
Journal ArticleDOI
Implementation of genetic algorithm for distribution systems loss minimum re-configuration
TL;DR: In this paper, the loss minimum reconfiguration problem in the open loop radial distribution system is formulated as a mixed integer programming problem and a detailed solution methodology by the use of genetic algorithm is outlined.
Journal ArticleDOI
Optimal reconfiguration of electrical distribution network using the refined genetic algorithm
TL;DR: In order to get the precise branch current and system power loss, a radiation distribution network load flow (RDNLF) method is presented in the study and some improvements are made on chromosome coding, fitness function and mutation pattern.
Journal ArticleDOI
Classification of capacitor allocation techniques
TL;DR: The problem of capacitor allocation for loss reduction in electric distribution systems has been extensively researched over the past several decades as mentioned in this paper, and a comprehensive survey of all the literature in capacitor allocation can be found in this paper.