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Evaluation of a power unit commitment planning using a knowledge based system featuring fuzzy knowledge representation

Sergaki Amalia, Kalaitzakis Kostas

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Summary

The optimal operational planning of an electric power system is based upon a priority list of all unitsparticipating to the power production. The elaboration of the units priority list is a critical task and is based on both,objective criteria (units’ condition, load demand, etc.) and the operators’ experience. The fuzzy approach applied to thiscategory of problems gives more reliable results compared to conventional methods.The objective of this paper is to demonstrate the use of a fuzzy relational database model for manipulating the datarequired for the priority classification of the units for optimal power unit commitment planning. The priorityclassification list is formed incorporating criteria like operational cost, safety requirements, environmental impacts,operation condition history, maintenance scheduling and alternative supply availability. Fuzzy linguistic terms for theirdefinitions along with fuzzy inference allow the operators expertise to be exploited.The proposed database undertakes the representation and handling of the above fuzzy information and additionallypermits the user to specify the precision with which the conditions involved in a query are satisfied.In order to illustrate the behavior of the model a case study is given for the autonomous power system of the CreteIsland.

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