UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 9
September-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2209213


Registration ID:
502397

Page Number

b903-b910

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Title

OPTIMAL POWER FLOW WITH DIFFERENTIAL EVOLUTION CONSIDERING HVDC AND PEV VEHICULAR FLEET

Abstract

The Optimal Power Flow (OPF) is an important criterion in today's power system operation and control due to scarcity of energy resources, increasing power generation cost and ever-growing demand for electric energy. As the size of the power system increases, load may be varying. The generators should share the total demand plus losses among themselves. The sharing should be based on the fuel cost of the total generation with respect to some security constraints. The security constraints are real and reactive power generation limits, tap changing transformers line flow limits. Since the dependence each generator fuel cost on the load it supplies, the objective of the OPF algorithm is to allocate the total electric power demand and losses among the available generators in such a manner, that it minimizes the electric utility's total fuel cost while satisfying the security constraints. But it is very difficult task considering all the constraints. many mathematical assumptions such as convex, analytic, and differential objective functions have to be given to simplify the problem. However, the OPF problem is an optimization problem with, in general, nonconvex, no smooth, and nondifferentiable objective functions. These properties have become more evident and dominant if the effects of the valve point loading of thermal generators and the non-linear behaviour of electronic-based devices such as HVDC and PEV Vehicular Fleet are taking into consideration. Hence, it becomes essential to develop optimization techniques that are efficient to overcome these drawbacks and handle such difficulties. Differential evolution (DE) is an efficient and powerful population-based stochastic search technique for solving optimization problems over continuous space, which has been widely applied in many scientific and engineering fields. However, the success of DE in solving a specific problem crucially depends on appropriately choosing trial vector generation strategies and their associated control parameter values. Employing a trial-and-error scheme to search for the most suitable strategy and its associated parameter settings requires high computational costs. Moreover, at different stages of evolution, different strategies coupled with different parameter settings may be required in order to achieve the best performance.

Key Words

HVDC, PEV VEHICULAR FLEET, OPF, DE

Cite This Article

"OPTIMAL POWER FLOW WITH DIFFERENTIAL EVOLUTION CONSIDERING HVDC AND PEV VEHICULAR FLEET", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.b903-b910, September-2022, Available :http://www.jetir.org/papers/JETIR2209213.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"OPTIMAL POWER FLOW WITH DIFFERENTIAL EVOLUTION CONSIDERING HVDC AND PEV VEHICULAR FLEET", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppb903-b910, September-2022, Available at : http://www.jetir.org/papers/JETIR2209213.pdf

Publication Details

Published Paper ID: JETIR2209213
Registration ID: 502397
Published In: Volume 9 | Issue 9 | Year September-2022
DOI (Digital Object Identifier):
Page No: b903-b910
Country: srikakulam, ANDHRA PRADESH, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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