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
A novel hybrid algorithm for rescheduling-based congestion management scheme in power system
TL;DR: A new rescheduling-based congestion management model that incorporates a new algorithm, refractor update-based ROA (RU-ROA) that optimizes the generating power of added generators with the bus system and proves the efficiency of proposed work over others.
Journal ArticleDOI
An application of reference point-based NSGA-II for power system congestion management ensuring system stability
TL;DR: In this paper, the authors formulated the power transmission congestion problem as a multi-objective optimization problem and solved it using the reference point NSGA-II (R-NSGAII) technique.
Simultaneous congestion management and cost allocation in a short-run market model
TL;DR: In this paper, the authors proposed a simultaneous approach to manage congestion, evaluate congestion cost, and to allocate this cost among consumers in a short run market model, consisting of an iterative algorithm to search and apply a sequence of the best feasible bilateral power exchange among the generators that would optimally reduce and completely remove the congestion.
Proceedings ArticleDOI
Power trading and congestion management using real power rescheduling
TL;DR: The power trading in electricity market is dealt with to ensure regular supply at competitive rates and how can congestion cost can be addressed through active power rescheduling with transmission line constraints is shown.
Journal ArticleDOI
A Congestion Management Approach Using Probabilistic Power Flow Considering Direct Electricity Purchase
Xu Wang,Chuan-Wen Jiang +1 more
TL;DR: In this paper, a probabilistic power flow model based on 2m+1 point estimate method (PEM) is used to simulate the performance of uncertain and correlated input random variables.
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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