DocumentCode :
1698182
Title :
Interchange contract decision making in electric power systems
Author :
Rosenwald, Gary W. ; Liu, Chen-Ching ; Wang, Shih-Ming
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
fYear :
1996
Firstpage :
22
Lastpage :
27
Abstract :
To meet the needs of the increasing number and importance of energy interchanges in new competitive power system environments, a method for multi-objective optimization is proposed which uses a goal decision network (GDN) to model the knowledge used to analyze interchange contracts. A new search algorithm, guided by negotiation operators and the knowledge in the GDN, is developed to identify optimal solutions and the tradeoffs between problem objectives. The algorithm is used to optimize an energy-purchase contract with respect to the objectives of reliability, cost savings, and the survival rate of fish migrating through a hydro-electric system
Keywords :
contracts; optimisation; power systems; power transmission; search problems; artificial intelligence; competitive power system environments; cost savings; electric power systems; energy interchanges; energy-purchase contract optimisation; fish survival rate; goal decision network; hydro-electric system; hydro-thermal power system; interchange contract decision making; multi-objective optimization; negotiation operators; reliability; search algorithm; Contracts; Decision making; Intelligent systems; Marine animals; Optimization methods; Power system analysis computing; Power system modeling; Power system planning; Power system reliability; Power system security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Applications to Power Systems, 1996. Proceedings, ISAP '96., International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3115-X
Type :
conf
DOI :
10.1109/ISAP.1996.501039
Filename :
501039
Link To Document :
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