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.read more
Citations
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Proceedings ArticleDOI
Optimal real and reactive power dispatch for zonal congestion management problem for multi congestion case using Adaptive Fuzzy PSO
E. Muneender,D. M. Vinod Kumar +1 more
TL;DR: The Adaptive Fuzzy Particle Swarm Optimization based Optimal Power Flow (AFPSO-OPF) is introduced first time in this paper and the inertia weight is dynamically adjusted using fuzzy IF/THEN rules to increase the balance between global and local searching abilities.
Proceedings ArticleDOI
PSO based generator rescheduling for relieving transmission overload
TL;DR: A congestion management algorithm by optimally rescheduling the generator active power outputs by minimizes the deviation between the rescheduled and scheduled generator power output levels based on particle Swarm Optimization (PSO).
Journal ArticleDOI
Optimal intelligent strategic LMP Solution and Effect of DG in Deregulated System for Congestion Management
Book ChapterDOI
An Advanced Method of Congestion Management for Optimal Energy Pricing
TL;DR: A simple configuration of an interconnected power system has basically three important parts, namely: generator as source of the electrical energy, transmission line for transmitting power to remote areas and the load which consumes the power as mentioned in this paper.
Journal ArticleDOI
Transmission congestion management considering voltage stability margin
TL;DR: The Random Inertia Weight Particle Swarm Optimization (RANDIW-PSO) algorithm has been employed in this paper to obtain optimized solutions and results confirm a noteworthy decline in congestion cost along with the improvement in network voltage stability margin.
References
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TL;DR: In this paper, the authors present a graduate-level text in electric power engineering as regards to planning, operating, and controlling large scale power generation and transmission systems, including characteristics of power generation units, transmission losses, generation with limited energy supply, control of generation, and power system security.
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TL;DR: The Flexible AC Transmission System (FACTS)—a new technology based on power electronics—offers an opportunity to enhance controllability, stability, and power transfer capability of ac transmission systems.
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TL;DR: In this paper, the authors present a method to find the most relevant information from Bibliogr. : p. 255-266. Index Reference Record created on 2004-09-07, modified on 2016-08-08
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TL;DR: A review of classical methods of analysis of generators can be found in this paper, where the authors present a simulation for study of Transient Stability Application of Energy Function Methods transient Stability Controllers.
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