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Book ChapterDOI

A Survey on Load/Power Flow Methods and DG Allocation Using Grasshopper Optimization Algorithm in Distribution Networks.

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TLDR
The main contribution of the present survey paper is calculation of network power loss using power flow methods in radial distribution networks (RDNs) and the methods used are forward and backward sweep (FBS) and direct approach (DA).
Abstract
Emerging smart grid technologies in electric distribution network (EDN) planning, operation, and automation require fast and efficient power flow methods. This imposes the continual search for speedy and effective power flow algorithms for EDNs. The present paper illustrates a survey and summary of recent developments in power flow methods. Several technical approaches have been presented for optimal power flow methods for power loss identification and distributed generation (DG) allocation in EDNs. The main contribution of the present survey paper is calculation of network power loss using power flow methods in radial distribution networks (RDNs). Here two major power flow methods used are forward and backward sweep (FBS) and direct approach (DA). The methods are compared on the basis of loss reduction and minimum voltage bus identification capability. The present survey provides the researchers a clear idea of power flow methods utilized in EDN performance enhancement. The power flow analysis is carried out on different EDNs, i.e., small, medium and large scale. Later DG allocation is carried out by using a novel meta-heuristic algorithm called grasshopper optimization algorithm (GOA). The results obtained are compared with existing techniques.

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Citations
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Journal ArticleDOI

Grasshopper Optimization Algorithm: Theory, Variants, and Applications

TL;DR: A comprehensive review of GOA based on more than 120 scientific articles published by leading publishers: IEEE, Springer, Elsevier, IET, Hindawi, and others is presented in this article.
Proceedings ArticleDOI

Alocação de Geradores Distribuídos em Sistemas de Distribuição de Energia Elétrica Utilizando Algoritmo GRASP-VNS

TL;DR: A implementação das meta-heuristicas, Greedy Randomized Adaptive Search Procedure (GRASP) and Variable Neighborhood Search (VNS) para a alocação ótima de Geradores Distribuídos (GDs) e seu dimensionamento em redes de distribuição com operação radial, visando a reduçón das perdas elétricas ativas e à melhoria
Journal ArticleDOI

Applications of Recent Metaheuristic Algorithms for Loss Reduction in Distribution Power Systems considering Maximum Penetration of Photovoltaic Units

TL;DR: In this paper , the authors proposed to place photovoltaic units (PVUs) optimally by implementing the Coot optimization algorithm (COOA), the AOA, the transient search optimization (TSOA), the crystal structure algorithm (CrSA), the war strategy optimization (WSA), and the average and subtraction-based optimizer (ASBOI).
References
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Journal ArticleDOI

Fast decoupled power flow for unbalanced radial distribution systems

TL;DR: In this article, a new problem formulation of three-phase distribution power flow equations taking into account the radial structure of the distribution network is presented, and an effective solution method for general unbalanced radial distribution systems is presented.
Journal ArticleDOI

Optimal Allocation of Distributed Generation Using Hybrid Grey Wolf Optimizer

TL;DR: This paper proposes a solution to this non-convex, discrete problem by using the hybrid grey wolf optimizer, a new metaheuristic algorithm, applied to IEEE 33-, IEEE 69-, and Indian 85-bus radial distribution systems to minimize the power loss.
Journal ArticleDOI

Modelling distributed generations in three-phase distribution load flow

TL;DR: The mathematical models of distributed generations (DGs) are integrated into three-phase distribution load flow program to analyse and simulate the penetrations of DGs for distribution systems.
Journal ArticleDOI

A general load flow method for distribution systems

TL;DR: A very simple and efficient method of load flow calculation for a general distribution system having mesh network with more than one feeding node by injecting appropriate complex power at the break points in the equivalent system.
Proceedings ArticleDOI

Distribution power flow for smart grid technologies

TL;DR: GridLAB-D as discussed by the authors is an open source power system modeling and simulation environment developed by the United States Department of Energy specifically to integrate detailed power systems and end-use models, which can be used to support the evaluation of smart grid technologies.
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