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Journal ArticleDOI

Optimal Placement and Sizing of Distributed Generation and Capacitor Banks in Distribution Systems Using Water Cycle Algorithm

Adel A. Abou El-Ela, +2 more
- 09 Feb 2018 - 
- Vol. 12, Iss: 4, pp 3629-3636
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.

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Citations
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COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach

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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.
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Optimal allocation of distributed generators DG based Manta Ray Foraging Optimization algorithm (MRFO)

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).
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Optimal Harmonic Mitigation in Distribution Systems with Inverter Based Distributed Generation

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.
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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
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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.
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