GA based algorithm for optimum allocation of reactive power under deregulated environment

An algorithm using floating point genetic algorithm (FPGA) was developed to solve the problem of optimum allocation of reactive power in power systems under open market environment. The performance of the proposed model is validated on IEEE-14 bus system with modifications to incorporate the varying...

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Bibliographic Details
Published in2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies pp. 926 - 932
Main Authors Nidul Sinha, Loi Lei Lai, Ghosh, P.K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2008
Subjects
Ancillary Services
Costs
Deregulation of Electric Industry
Floating Point Genetic Algorithm
Genetic algorithms
ISO
Power engineering and energy
Power generation
Power generation economics
Power system management
Power system modeling
Pricing
Reactive power
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DOI10.1109/DRPT.2008.4523539

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Summary:An algorithm using floating point genetic algorithm (FPGA) was developed to solve the problem of optimum allocation of reactive power in power systems under open market environment. The performance of the proposed model is validated on IEEE-14 bus system with modifications to incorporate the varying working conditions of power systems like, change of tap settings of transformers, variable reactive power compensations, etc. Results of the FPGA demonstrate that the algorithm is well competent in achieving the near optimal allocation of reactive power under practical constraints and price based conditions.
DOI:10.1109/DRPT.2008.4523539