DocumentCode
2219337
Title
Multicriteria load management in power systems
Author
Ekel, P.Ya. ; Terra, L.D.B. ; Junges, M.F.D. ; Prakhovnik, A.V. ; Razumovsky, O.V.
Author_Institution
Pontifical Catholic Univ. of Minas Gerais, Belo Horizonte, Brazil
fYear
2000
fDate
2000
Firstpage
167
Lastpage
172
Abstract
The problems of power and energy shortage (natural or associated with the advisability of load management) allocation at different levels of territorial, temporal, and situational hierarchy of consumption control are formulated within the framework of multicriteria optimization models. This permits one to realize a new technology of load management providing consideration and minimization of diverse negative consequences of power and energy shortage allocation and creation of incentive influences for consumers. The solution of multicriteria problems is based on the Bellman-Zadeh approach to decision making in a fuzzy environment. The advantages and capabilities opened by its application are discussed. The results of the paper are realized within the framework of an adaptive interactive decision making system, which can be used in allocating diverse types of resources or their shortages
Keywords
fuzzy set theory; interactive systems; load management; optimisation; power consumption; power system analysis computing; Bellman-Zadeh approach; adaptive interactive decision making system; consumption control; decision making; energy shortage; energy shortage allocation; fuzzy environment; fuzzy set theory; multicriteria load management; multicriteria optimization models; power shortage; power shortage allocation; power systems; Decision making; Electricity supply industry; Electronic mail; Energy management; Environmental economics; Load management; Power generation economics; Power system management; Resource management; Telephony;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Utility Deregulation and Restructuring and Power Technologies, 2000. Proceedings. DRPT 2000. International Conference on
Conference_Location
London
Print_ISBN
0-7803-5902-X
Type
conf
DOI
10.1109/DRPT.2000.855658
Filename
855658
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