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Digital Signal Processing in Power System Protection and Control bridges the gap between the theory of protection and control and practical applications of protection equipment. Understanding the ways of protection functioning is crucial not only for equipment developers and manufacturers, but also for their users that need to install, set and operate the protection devices in an appropriate manner. The information provided here can be useful for protection engineers working at various levels of electric networks, in utilities, as well as for students of electrical engineering, especially electrical power engineering. It may also be helpful for all others willing to get acquainted with and to apply the filtering, measuring and decision making algorithms for purposes other than protection and control, everywhere that fast and on-line signal analysis is needed for proper functioning of the apparatus. After introduction chapters related to protection technology and functions performed, the digital algorithms for signal filtering are presented, which are followed by measurement algorithms of most commonly used protection criteria values and decision making methods in protective relays. A lot of space is devoted to basic theory and applications of artificial intelligence techniques for protection and control. Fuzzy logic based schemes, artificial neural networks, expert systems and genetic algorithms with their advantages and drawbacks are presented. The AI techniques are compared and their useful combinations are shown in the hope of eliminating disadvantages and magnifying good features of particular techniques.