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The paper presents results of electrical power system identification shaped by selected values of the electrical power market, which identification is conducted using IEEE RTS test data. Development of such a model is an extremely important step of designing electrical power system development, especially as regards forecasting power of generators as well as fixed and variable costs of system development, etc. The EE system model was obtained by taking six input variables, i.a. total existing active power and forecast demand for active power increase as well as three output variables, i.a. forecast power of generators and forecast additional fixed and variable costs. Parametric models and models in state space were obtained. State variable courses were shown.