01445nas a2200253   4500000000100000000000100001008004100002260001200043653003200055653003100087653002800118653000800146100001600154700001400170700001600184700001200200700002100212245010500233856009600338300001200434490000600446520072500452022001401177       2018                            d  c12/201810aParticle Swarm Optimization10aRadial Distribution System10aProbabilistic Load Flow10aSVC1 aWalaa Ahmed1 aAli Selim1 aSalah Kamel1 aJuan Yu1 aFrancisco Jurado00aProbabilistic Load Flow Solution Considering Optimal Allocation of SVC in Radial Distribution System  uhttp://www.ijimai.org/journal/sites/default/files/files/2018/11/ijimai_5_3_16_pdf_17977.pdf  a152-1610 v53 aThis paper proposes a solution procedure for probabilistic load flow problem considering the optimal allocation of Static Var Compensator (SVC) in radial distribution systems. Pareto Envelope-based Selection Algorithm II (PESA-II) with fuzzy logic decision maker is developed to determine the optimal location and size of SVC based on the minimum total power losses and Voltage Deviation (VD). Combined cumulants and gram-chalier expansion are used for solving the probabilistic load flow problem. The proposed algorithm is tested on 33-bus and 69-bus distribution systems. The developed algorithm gives an acceptable solution with low number of iterations and less computation cost compared with the Monte Carlo method.  a1989-1660