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Reseach Article

Congestion Management in Deregulated Power Market � a Review

Published on September 2016 by Shivam Sharma, Mohan Kashyap, Satish Kansal
International Conference on Advances in Emerging Technology
Foundation of Computer Science USA
ICAET2016 - Number 2
September 2016
Authors: Shivam Sharma, Mohan Kashyap, Satish Kansal
4924dfac-d517-4cc5-995f-749d449e61a5

Shivam Sharma, Mohan Kashyap, Satish Kansal . Congestion Management in Deregulated Power Market � a Review. International Conference on Advances in Emerging Technology. ICAET2016, 2 (September 2016), 18-23.

@article{
author = { Shivam Sharma, Mohan Kashyap, Satish Kansal },
title = { Congestion Management in Deregulated Power Market � a Review },
journal = { International Conference on Advances in Emerging Technology },
issue_date = { September 2016 },
volume = { ICAET2016 },
number = { 2 },
month = { September },
year = { 2016 },
issn = 0975-8887,
pages = { 18-23 },
numpages = 6,
url = { /proceedings/icaet2016/number2/25885-t034/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Emerging Technology
%A Shivam Sharma
%A Mohan Kashyap
%A Satish Kansal
%T Congestion Management in Deregulated Power Market � a Review
%J International Conference on Advances in Emerging Technology
%@ 0975-8887
%V ICAET2016
%N 2
%P 18-23
%D 2016
%I International Journal of Computer Applications
Abstract

In a deregulated power market, the optimum power flow (OPF) for an interconnected grid system is an important concern as related to transmission loss and operating constraints of power network. The increased power transaction as related to increased demand and satisfaction of those demand to the competition of generation companies (GENCOs) are resulting the stress on power network which further causes the danger to voltage security, violation of limits of line flow, increase in the line losses, large requirement of reactive power, danger to power system stability and over load of the lines i. e. congestion of power in system. It can be managed by rescheduling of generators or optimal location of distributed generation (DG) at minimum cost with minimum loss without disturbing the operating constraints. This paper reviews some of congestion management (CM) methods including the nodal pricing method, differential evolution (DE), addition of renewable energy sources, extended quadratic interior point (EQIP) based OPF, mixed integer nonlinear programming, particle swarm optimization (PSO), cost free methods and Genetic Algorithm (GA). Each technique has its own significance and potential for promotion of rescheduling of generators in a deregulated power system.

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Index Terms

Computer Science
Information Sciences

Keywords

Eqip Facts Opf Minlp