Title :
A Multiple Criteria Decision-Making Knowledge-Based Scheme for Real-Time Power Voltage Control
Author :
Ma, H.M. ; Ng, Kai-Tat ; Man, Kim F.
Author_Institution :
City Univ. of Hong Kong, Kowloon
Abstract :
A new real-time power voltage control strategy is proposed in this paper. This scheme utilizes a novel offline evolutionary multiobjective optimization algorithm called jumping genes for generating the widespread control solutions and be readily stored into a knowledge data base. A separate online multiple criteria decision-making scheme is established for selecting the appropriate control solution. This concept of power voltage control has been demonstrated by the New England 39-bus power system. The system output performance was speedy and accurate.
Keywords :
control engineering computing; decision making; evolutionary computation; knowledge based systems; power engineering computing; power system control; voltage control; New England 39-bus power system; evolutionary multiobjective optimization; jumping genes; knowledge data base; multiple criteria decision-making knowledge-based scheme; real-time power voltage control; Costs; Decision making; Evolutionary computation; Large-scale systems; Power generation economics; Power system control; Power system interconnection; Power system stability; Power systems; Voltage control; Coordinated voltage control; evolutionary algorithm; jumping genes; multiple criteria decision making;
Journal_Title :
Industrial Informatics, IEEE Transactions on
DOI :
10.1109/TII.2008.919320
