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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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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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Proceedings ArticleDOI

Loss optimization of IEEE 12 bus radial distribution system integration with wind weibull distribution function using PSO technique

TL;DR: In this article, particle swarm optimization (PSO) technique is applied on IEEE 12 radial standard bus system to get reduced losses and optimum size of wind turbine to optimize the system losses.
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