This paper presents a new approach to solve the optimal reactive power planning (RPP) problem based on a genetic algorithm. The reactive power planning problem involves optimal placement and sizing of capacitors in a network such that the power loss cost and investment costs of new VAR sources are minimum. The genetic algorithm is a kind of search algorithm based on natural selection and genetics. This algorithm can search for global solution. The RPP problem is solved in two stages. The first stage determines the optimal placement of capacitors. The second stage determines the optimal sizing of such capacitors. The proposed approach incorporates detailed hourly loading conditions at each bus and achieves a fairly accurate estim k of the benefits from capacitor placement. The proposed method is applied to the IEEE 14-bus system and the IEEE 30-bus system and its results are compared with the results of a conventional method. Although this method is not as fast as sophisticated traditional methods, the applied concept is quite adequate for planning applications.
Aly, G. E. M., El-Desouki, A., & El-Zonkoly, A. (2002). OPTIMAL REACTIVE POWER PLANNING USING GENETIC ALGORITHM. ERJ. Engineering Research Journal, 25(2), 31-42. doi: 10.21608/erjm.2002.70643
MLA
G. E. M. Aly; a. El-Desouki; Amany El-Zonkoly. "OPTIMAL REACTIVE POWER PLANNING USING GENETIC ALGORITHM". ERJ. Engineering Research Journal, 25, 2, 2002, 31-42. doi: 10.21608/erjm.2002.70643
HARVARD
Aly, G. E. M., El-Desouki, A., El-Zonkoly, A. (2002). 'OPTIMAL REACTIVE POWER PLANNING USING GENETIC ALGORITHM', ERJ. Engineering Research Journal, 25(2), pp. 31-42. doi: 10.21608/erjm.2002.70643
VANCOUVER
Aly, G. E. M., El-Desouki, A., El-Zonkoly, A. OPTIMAL REACTIVE POWER PLANNING USING GENETIC ALGORITHM. ERJ. Engineering Research Journal, 2002; 25(2): 31-42. doi: 10.21608/erjm.2002.70643
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