TY - JOUR
KW - Particle Swarm Optimization
KW - Radial Distribution System
KW - Probabilistic Load Flow
KW - SVC
AU - Walaa Ahmed
AU - Ali Selim
AU - Salah Kamel
AU - Juan Yu
AU - Francisco Jurado
AB - This 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.
IS - Regular Issue
M1 - 3
N2 - This 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.
PY - 2018
SP - 152
EP - 161
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Probabilistic Load Flow Solution Considering Optimal Allocation of SVC in Radial Distribution System
UR - http://www.ijimai.org/journal/sites/default/files/files/2018/11/ijimai_5_3_16_pdf_17977.pdf
VL - 5
SN - 1989-1660
ER -