Title :
Optimal multiobjective SVC planning for voltage stability enhancement
Author :
Chang, C.S. ; Huang, J.S.
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
fDate :
3/1/1998 12:00:00 AM
Abstract :
The authors present a scheme of hybrid optimisation using parallel simulated annealing and a Lagrange multiplier for optimal SVC planning. Aiming for voltage stability enhancement, the proposed scheme is posed as a multiobjective optimisation problem for maximising a fuzzy performance which represents the power system reactive (VAr) margin, system I2R losses and voltage depressions at critical points. To ensure robustness, the paper proposes a four-step procedure for synthesising optimal VAr reinforcement
Keywords :
control system synthesis; optimal control; power system control; power system planning; power system stability; reactive power control; robust control; simulated annealing; voltage control; I2R losses; Lagrange multiplier; VAr; control design; critical points; hybrid optimisation; multiobjective optimisation problem; optimal SVC planning; optimal VAr reinforcement; parallel simulated annealing; power systems; reactive power margin; robustness; voltage depressions; voltage stability enhancement;
Journal_Title :
Generation, Transmission and Distribution, IEE Proceedings-
DOI :
10.1049/ip-gtd:19981697