Electric Power Applications of Fuzzy Systems (IEEE Press by Mohamed E. El-Hawary

By Mohamed E. El-Hawary

This publication deals an creation to purposes of fuzzy procedure idea to chose parts of electrical energy engineering. It provides theoretical heritage fabric from a pragmatic perspective after which explores a couple of purposes of fuzzy structures. such a lot lately, there was a big surge in learn and alertness articles in this topic. in the past although, there were no books that prepare a pragmatic consultant to the basics and functions facets. electrical energy purposes OF FUZZY structures provides, less than one hide, unique contributions by means of authors who've pioneered within the software of fuzzy approach concept to the electrical strength engineering box. every one bankruptcy includes either an advent to and a state of the art evaluation of every program zone.

backed through: IEEE strength Engineering Society.

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Extra resources for Electric Power Applications of Fuzzy Systems (IEEE Press Series on Power Engineering)

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2. long- and Midterm Scheduling Power system long- and midterm scheduling problems, such as annual maintenance scheduling, seasonal fuel scheduling, and midterm operation mode studies, are solved by various optimal and heuristic methods. The problems are characterized by many complications and uncertainties. Accurate formulations are often difficult and conventional optimization methods are not efficient. Moreover, it is more reasonable to represent constraints as soft (the fuzzy degree of satisfaction expression permits an engineering acceptable violation of constraints) than as hard.

Chapter 2 Fuzzy Systems: An Engineering Point of View 32 Yager Intersection. The intersection of fuzzy sets A and B is defined as + (1 - b)P]l’p} tr(a, b , p ) = pAns(x)= 1 - min{ 1, [( 1 - p 2 1 This intersection operator converges to the min operator for p -+ 00. For p = 1 this intersection operator reduces to the bold intersection or bounded product given by p = max(0, ( A + B - 1)). The Yager intersection has a number of interesting properties, including tr(a,O,p)= 0 tr(a, 1,P) = a Yager Union.

4] D. Dubois and H. Prade, Fuzzy Sets and Systems: Theory and Applications, Academic, San Diego, 1980. [5] G. Klir and T. A. Folger, Fuzzy Sets, Uncertainty, and Information, PrenticeHall, Englewood Cliffs, NJ, 1988. [6] C-T. Lin and C. S . G. Lee, Neural Fuzzy Systems, Prentice-Hall, Englewood Cliffs, NJ, 1996. [7] B. Kosko, Neural Networks and Fuzzy Systems, Prentice-Hall, Englewood Cliffs, NJ, 1992. [8] T. J. Ross, Fuzzy Logic with Engineering Applications, McGraw-Hill, New York, 1995. [9] H.

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