Power system energy generation and deliveration costs simulation using a fuzzy logic and neural networks

The proposed method of simulation of the power generation and deliveration costs in the power system is based upon the traditional methods of optimisation, artificial intelligence network and fuzzy logic method. This approach enables to utilise the obtained results for the real-time control of power system and water management. The results of simulation are used to support decision making by the system manager and also can be useful for prediction the developing strategy of structure of distribution network and power plants allocation. The simulation is performed with the man-in-the-loop. Fixed topology of power transmission network and values of the power and energy losses have to be taken under consideration using the data collected from SCADA system. The data taken from SCADA system, describing the level of power and energy demand, are transferred to the diagnostic expert system and simultaneously are processed in the neurone's network and compared with manager decision. Results of simulation are presented in form of payoff tables based on expected monetary values.