Title :
Planning system robustness regarding voltage stability using a genetic algorithm based approach
Author :
Oo, Naing Win ; Fidalgo, J.N. ; Lopes, J. A Peças
Author_Institution :
Power Syst. Unit, INESC, Porto, Portugal
Abstract :
Voltage stability is an important concern of power system managers not only in the net planning phase but also in operation. This issue has become especially critical in recent years due to the deregulation phenomenon because of new exploration policies complying a system operation closer to its security limits. In particular, voltage collapse distance may approach emergency values or, in the worst case, make the system collapse. As voltage profile is extremely dependent on reactive power compensation, most common approaches integrate both objectives in the operation setting phase, trying to optimize reactive power production taking voltage profile into consideration. In this paper, authors propose an evolutionary approach application to the same problem but in the planning phase. It is shown that the cooperative procedure of planning and preventive control provides better solutions that if one deals with these issues one at a time
Keywords :
compensation; control system synthesis; genetic algorithms; power system control; power system dynamic stability; power system planning; predictive control; reactive power control; robust control; voltage control; deregulation; evolutionary approach; genetic algorithm; operation setting phase; power system robustness planning; preventive control; reactive power compensation; security limits; voltage collapse distance; voltage profile; voltage stability; Disaster management; Energy management; Power system management; Power system planning; Power system security; Power system stability; Production; Reactive power; Robust stability; Voltage;
Conference_Titel :
Power Tech Proceedings, 2001 IEEE Porto
Conference_Location :
Porto
Print_ISBN :
0-7803-7139-9
DOI :
10.1109/PTC.2001.964757