NDLI: Active and reactive power rescheduling for congestion management using particle swarm optimization

Content Provider	IEEE Xplore Digital Library
Author	Joshi, S.K. Pandya, K.S.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Engineering, Charotar Institute of Technology, Changa, India (Pandya, K.S.) \|\| Department of Electrical Engineering, M. S. University of Baroda, Vadodara, India (Joshi, S.K.)
Abstract	In the competitive electricity market, it is not always possible to discharge all of the contracted power transactions due to congestion in the transmission lines. In most cases, Independent System Operator tries to remove congestion by rescheduling output power of the generators. In this research paper, active and reactive power generator sensitivity factors of the generators to the congested lines have been used to determine the number of generators participating in congestion management. Secondly, Particle Swarm Optimization (PSO) based algorithm has been suggested to minimize the deviations of rescheduled values of active and reactive powers of generators from scheduled values, considering voltage stability enhancement and voltage profile improvement criteria. Thus, rescheduling cost of active power and reactive power were minimized by PSO. The proposed algorithm has been tested on IEEE 30 bus system and results obtained have been compared with previous literature in terms of solution quality.
Starting Page	1
Ending Page	6
File Size	299385
Page Count	6
File Format	PDF
ISBN	9781457717932
e-ISBN	9781921897078
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-25
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Queensland Univ of Tech
Subject Keyword	Congestion management Reactive power Sensitivity Power transmission lines rescheduling sensitivity analysis Power system stability Generators Stability analysis particle swarm optimization voltage stability Load flow
Content Type	Text
Resource Type	Article

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