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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Journal ArticleDOI
Congestion management in hybrid power markets
Yu Xiao,Peng Wang,Lalit Goel +2 more
TL;DR: In this paper, a one-step methodology for congestion management of a hybrid power market that consists of a power pool and bilateral contracts between market participants is proposed, which is based on a modified Optimal Power Flow (OPF) model to minimize the total cost of generation and ancillary services.
Journal ArticleDOI
Model uncertainty in security assessment of power systems
TL;DR: In this article, the authors address the issue of quantifying effects of model uncertainty on transmission security in a power market and propose a linearized ac power flow model to describe the transmission network.
Journal ArticleDOI
Chaotic darwinian particle swarm optimization for real-time hierarchical congestion management of power system integrated with renewable energy sources
TL;DR: A new Real-Time Hierarchical Congestion Management technique is proposed that reschedules generators in two stages based on available congestion clearing time of the transmission lines in presence of renewable energy sources.
Journal ArticleDOI
Probabilistic congestion management using EVs in a smart grid with intermittent renewable generation
TL;DR: In this article, a probabilistic model to reduce the probability of line congestions and voltage violations in a smart grid located in a radial distribution network is presented, and a congestion management strategy is proposed in order to keep the line flows and node voltages within the appropriate range at a given confidence level.
Proceedings ArticleDOI
Using feeder reconfiguration for congestion management of smart distribution network with high DG penetration
TL;DR: In this paper, a genetic algorithm is used to determine the optimal configuration to solve the distribution network congestion problem, which can be used as an effective methodology to defer the additional investment in distribution systems.
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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