Hybrid optimization for optimal positioning and sizing of distributed generators in unbalanced distribution networks-Reference-Cited by-同舟云学术

Hybrid optimization for optimal positioning and sizing of distributed generators in unbalanced distribution networks

Published:2022-11-29 Issue:0 Volume:0 Page:
ISSN:2329-8774
Container-title:Energy Harvesting and Systems
language:en
Short-container-title:

Author:

Mhetre Santosh Laxman¹,Korachagaon Iranna²

Affiliation:

1. Visvesvaraya Technological University Belagavi , Jnana Sangama, VTU Main Rd, Machhe , Belgaum , Karnataka 590018 , India

2. Tontadarya College of Engineering , Gadag , 582 101 Karnataka , India

Abstract

Abstract The goal of this work is to reduce power loss and improve voltage profile by formulating the optimal DG placement problem as a restricted nonlinear optimisation problem. As a novelty, the proposed hybrid algorithm, referred to as Multifactor Update-based Hybrid Model (MUHM) is constructed by merging the concepts of Lion Algorithm (LA) & Sea Lion Algorithm (Sea Lion Optimization Algorithm (SLnO). The Forward-Backward Sweep (FBSM) Model is used to calculate the power loss. Three test cases are examined for the voltage profile & loss minimization in the feeder team with DGs: “case 1(DG supplying real power alone (P), case 2 (DG supplying reactive power alone (Q) and Case 3 (DG supplying both real and reactive power)”. Application of the suggested method to various IEEE test systems, including IEEE 33, IEEE 123, and IEEE 69, respectively, is used to assess its efficacy. According, the results show that the presented work at loading percentage = 0 is 12, 15, 135, 4.65, and 8 superior to SFF, BBO, BAT, LA and SLnO, respectively.

Publisher

Walter de Gruyter GmbH

Subject

Electrochemistry,Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Link

https://www.degruyter.com/document/doi/10.1515/ehs-2021-0046/pdf

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