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The design of an adaptive load-shedding strategy by executing an artificial neural network (ANN) and transient stability analysis for an electric utility system is presented. To prepare the training data set for an ANN, the transient stability analysis of an actual power system has been performed to solve for minimum load shedding with various operation scenarios without causing the tripping problem of generators. The Levenberg-Marquardt algorithm has been adopted and incorporated into the back-propagation learning algorithm for training feedforward neural networks. By selecting the total power generation, total load demand and frequency decay rate as the input neurons of the ANN, the minimum amount of load shedding is determined to maintain the stability of power systems. To demonstrate the effectiveness of the proposed ANN minimum load-shedding scheme, a utility power system has been selected for computer simulation and the amount of load shedding is verified by stability analysis.

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Abstract-This study attempts to determine the daily load patterns of service zones, line switches, distribution feeders, and main transformers by using customer information in a customer information system (CIS) and information about distribution transformers in the outage management information system (OMIS) in Taiwan Power Company (Taipower). When a power distribution system is operating under normal conditions, the reconfiguration of feeders for balancing loads among distribution feeders is obtained by the colored Petri nets (CPN) inference mechanism, which improves the operating performance of distribution systems. A practical Taiwan power distribution system, with daily load patterns derived by a load survey, is used for a computer simulation and, thus, determines the effectiveness of the proposed methodology to improve the balancing of the feeder load for distribution systems by considering the load characteristics of the service customers.Index Terms-Colored Petri nets, feeder reconfiguration, load balancing, load patterns, switching operations.

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