FuzzyCLIPS and neuro-fuzzy term rewriting for power network control

FuzzyCLIPS has been used in several commercial systems to allow for a rule based expert system shell that will also provide fuzzy reasoning capability. We discuss the use of FuzzyCLIPS and neuro-fuzzy term rewriting to define the network model in the distribution management system (DMS) for the Indonesian State Power system (PLN). Although, DMS is currently implemented by a mixed CLIPS/C++ system, the rules defining the behavior of the system are developed using the framework of object-oriented term-rewriting (OOTR) to guarantee the asynchronous characteristics of the program´s execution. Another advantage of using OOTR is that we describe both the power propagation in the network and the alarm conditions, which have to be monitored in a uniform fashion. We show how implementing a fuzzy solution will not only provide a more intuitive approach to the propagation problem, but also a more accurate solution.