• Shishir Lamsal
• DR. Rajendra Shrestha

With consideration to importance of power quality in power system especially in distribution systems and with increasing load demand in lengthy radial distribution feeder which have lower voltage at the farthest end node, in this paper voltage profile distribution feeder has been surveyed. Genetic Algorithm (GA) based method has been used for optimal siting and sizing of active power source, solar Photovoltaic (PV), for improvement of voltage profile of the distribution feeder. The proposed method minimizes the summation of difference of voltage at each bus from unity for improvement of voltage profile. The search method of GA is limited to 50 generation with 50 number of population, 0.8 crossover fraction and 0.01 mutation fraction. The proposed method is used for placement of three, four and five number of solar PV on 11 kV Tandi Feeder of Ratnanagar Tandi Distribution Centre, Chitwan, Nepal. The analysis has been performed by means of coding in MATLAB for optimal placement of solar PV and static load-flow simulation in Digsilent PowerFactory and the application results are found to be promising.

Distribution feeder, Voltage profile, Photovoltaics, Distributed Generation, Optimal placement and Genetic Algorithm.

"Voltage profile improvement of a distribution feeder by optimal placement of solar photovoltaic using genetic algorithm.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.96-103, October-2018, Available :http://www.jetir.org/papers/JETIR1810714.pdf

"Voltage profile improvement of a distribution feeder by optimal placement of solar photovoltaic using genetic algorithm.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp96-103, October-2018, Available at : http://www.jetir.org/papers/JETIR1810714.pdf