Title :
GA based algorithm for optimum allocation of reactive power under deregulated environment
Author :
Sinha, Nidul ; Lai, Loi Lei ; Ghosh, Palash Kumar
Author_Institution :
Dept. of Electr. Eng., NIT, Silchar
Abstract :
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.
Keywords :
electricity supply industry deregulation; genetic algorithms; reactive power; IEEE-14 bus system; deregulated environment; floating point genetic algorithm; optimum allocation; reactive power; Costs; Genetic algorithms; ISO; Power engineering and energy; Power generation; Power generation economics; Power system management; Power system modeling; Pricing; Reactive power; Ancillary Services; Deregulation of Electric Industry; Floating Point Genetic Algorithm; Reactive Power;
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
DOI :
10.1109/DRPT.2008.4523539