%0 Journal Article %1 noauthororeditor %A Wankhade, C M %A A.P.Vaidya, %D 2014 %J International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) %K Algorithm Flow Fuzzy Genetic Optimal Penalty Power Variable contingencies %N 1 %P 01-15 %T EFFECT OF FUZZY PENALTY ON CONVERSION OF OPTIMAL POWER FLOW USING GENETIC ALGORITHM %U http://airccse.com/ijaceee/papers/2114ijaceee01.pdf %V 2 %X The optimal power problem seeks to find an optimal profile of active and reactive power generation along with the voltage magnitudes in such a manner as to minimize the total operating cost of electric power system, while satisfying network security constraints .The Simple Genetic Algorithm with fixed penalty and variable penalty advantages finds its own utility in optimal power flow solutions .This paper presents three algorithm with an effect of variable penalty using Fuzzy Logic selection on the convergence of OPF. Fuzzy Logic variable penalty based study is provided to visualize the effect of selection of control variables on OPF convergence with solution time and improved value. Extensive study is provided on IEEE 30 bus system to draw certain important conclusions

@article{noauthororeditor, abstract = {The optimal power problem seeks to find an optimal profile of active and reactive power generation along with the voltage magnitudes in such a manner as to minimize the total operating cost of electric power system, while satisfying network security constraints .The Simple Genetic Algorithm with fixed penalty and variable penalty advantages finds its own utility in optimal power flow solutions .This paper presents three algorithm with an effect of variable penalty using Fuzzy Logic selection on the convergence of OPF. Fuzzy Logic variable penalty based study is provided to visualize the effect of selection of control variables on OPF convergence with solution time and improved value. Extensive study is provided on IEEE 30 bus system to draw certain important conclusions }, added-at = {2018-06-13T09:27:50.000+0200}, author = {Wankhade, C M and A.P.Vaidya}, biburl = {https://www.bibsonomy.org/bibtex/2e800bf49b49662137f1561af1c6a05ba/electical12345}, interhash = {012045e0950f2b9d974dd0fd85d9a701}, intrahash = {e800bf49b49662137f1561af1c6a05ba}, issn = {2394 - 0816}, journal = {International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE)}, keywords = {Algorithm Flow Fuzzy Genetic Optimal Penalty Power Variable contingencies}, language = {English}, month = feb, number = 1, pages = {01-15}, timestamp = {2018-06-13T09:27:50.000+0200}, title = {EFFECT OF FUZZY PENALTY ON CONVERSION OF OPTIMAL POWER FLOW USING GENETIC ALGORITHM }, url = {http://airccse.com/ijaceee/papers/2114ijaceee01.pdf}, volume = 2, year = 2014 }