NDLI: MOPSO approach to solve profit based unit commitment problem (PBUCP)

Content Provider	IEEE Xplore Digital Library
Author	Dhifaoui, C. Guesmi, T. Abdallah, H.H.
Copyright Year	2015
Description	Author affiliation: Control & Energies Manage. (CEM-Lab.), Nat. Eng. Sch. of Sfax, Sfax, Tunisia (Dhifaoui, C.; Guesmi, T.; Abdallah, H.H.)
Abstract	In this paper a new intelligent technique named multi-objective particle swarm optimization (MOPSO) algorithm used to solve profit based unit commitment (PBUCP). The Profit Based Unit Commitment problem is a nonlinear multi-objective optimization problem which involves the simultaneous optimization to maximize the generation companies (GENCOs) profit. The first function is the revenue while the second is the total cost. This optimization involves many constraints such as system power and reserve, unit generation limit, unit minimum ON OFF duration and ramping constraints. The used technique has been tested on IEEE-39 bus system with ten generating units over 24-h time horizon. The simulation results obtained are compared without another technique. The algorithm and simulation are realized with MATLAB 7.4 software.
Starting Page	175
Ending Page	182
File Size	340011
Page Count	8
File Format	PDF
e-ISBN	9781479983186
DOI	10.1109/ICoSC.2015.7153301
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-28
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Linear programming Economic dispatch Market price Optimization Multi-objective particle swarm optimization Deregulated market Simulation Price Based Unit Commitment Problem (PBUCP) GENCO Production Power systems Energy management
Content Type	Text
Resource Type	Article

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