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Journal ArticleDOI

A zonal congestion management approach using real and reactive power rescheduling

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TLDR
In this article, a new zonal/cluster-based congestion management approach has been proposed, where the zones have been determined based on lines real and reactive power flow sensitivity indexes also called as real/reactive transmission congestion distribution factors, and generators in the most sensitive zones, with strongest and nonuniform distribution of sensitivity indexes, are identified for rescheduling their real power output for congestion management.
Abstract
In a deregulated electricity market, it may always not be possible to dispatch all of the contracted power transactions due to congestion of the transmission corridors. System operators try to manage congestion, which otherwise increases the cost of the electricity and also threatens the system security and stability. In this paper, a new zonal/cluster-based congestion management approach has been proposed. The zones have been determined based on lines real and reactive power flow sensitivity indexes also called as real and reactive transmission congestion distribution factors. The generators in the most sensitive zones, with strongest and nonuniform distribution of sensitivity indexes, are identified for rescheduling their real power output for congestion management. In addition, the impact of optimal rescheduling of reactive power output by generators and capacitors in the most sensitive zones has also been studied. The proposed new zonal concept has been tested on 39-bus New England system and a 75-bus Indian system.

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Citations
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Journal ArticleDOI

Congestion management in competitive power market : A bibliographical survey

TL;DR: In this paper, the authors present papers/literature on congestion management issues in the deregulated electricity markets and refer to 211 citations referenced in this bibliography and the general electronic web sites and the web sites dealing with the issue of congestion management are also listed.
Journal ArticleDOI

Optimal Rescheduling of Generators for Congestion Management Based on Particle Swarm Optimization

TL;DR: An algorithm based on particle swarm optimization (PSO) which minimizes the deviations of rescheduled values of generator power outputs from scheduled levels and handles the binding constraints by a technique different from the traditional penalty function method is proposed.
Proceedings ArticleDOI

Identification of power distribution network topology via voltage correlation analysis

TL;DR: This work uses an approximate model for the grid voltage magnitudes to propose an algorithm that performs well when an exact nonlinear model of the grid voltages is adopted, when realistic power demand profiles are considered, and when the voltage measurements are affected by measurement noise.
Journal ArticleDOI

Bad Data Injection Attack and Defense in Electricity Market Using Game Theory Study

TL;DR: The effect of compromising each measurement on the price of electricity, so that the attacker is able to change the prices in the desired direction (increasing or decreasing) is specified.
Journal ArticleDOI

Congestion management in open access based on relative electrical distances using voltage stability criteria

TL;DR: In this article, an approach for alleviation of network over loads in the day-to-day operation of power systems under a deregulated environment is presented, where the control used for over load alleviation is real power generation rescheduling based on relative electrical distance (RED) concept.
References
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Journal ArticleDOI

Management of multiple congested conditions in unbundled operation of a power system

TL;DR: In this paper, the authors studied congestion management based on congestion pricing as may be done by an independent power system operator, and showed that congestion pricing can lead to the same solution as an optimal power flow.
Proceedings ArticleDOI

Congestion clusters-based markets for transmission management

TL;DR: In this article, the authors propose a method for effective grouping of system users according to their impact on the transmission constraints of interest into congestion clusters, which can be used for facilitating either a spot transmission management market, or an entirely decentralized transmission market.
Proceedings ArticleDOI

Optimal power dispatch in deregulated market considering congestion management

TL;DR: In this paper, an optimal power flow (OFF) model has been presented to minimize the curtailment of the contracted powers in a power market having bilateral, multilateral as well as firm contracts.
Journal ArticleDOI

Corrective action planning to achieve a feasible optimal power flow solution

TL;DR: In this article, an algorithm based on an optimisation technique and eigenvalue analysis was developed to quantify the degree of infeasibility and to provide recommendations to return the system operation into the feasible region.
Journal ArticleDOI

A study of reactive power marginal price in electricity market

TL;DR: The authors include the production cost of reactive power into the objective function of the optimal power flow problem, and use sequential quadratic programming method to solve the optimization problem and obtain reactive power marginal price accordingly.
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