Author_Institution :
Modeling & Design Dept. of Inf. Syst., Univ. of Natural Sci. & Humanities, SiedIce, Poland
Abstract :
This paper presents the first observations on modern genetic algorithms, and then proposed a new algorithm called Systemic Evolution Algorithm (SEA). In the definition of the algorithm uses the concept of SEA electricity market, defined on the basis of control theory and systems. As a result of the identification system received electricity market model in MATLAB and Simulink environment, taking into account the input data such as the number of different types of transmission lines, the number of power stations, the number of transformers, and the amount of energy devoted to the transmission network, or purchased of the Transmission System Operator (TSO), etc. Obtained in this way, using the System Identification Toolbox, appropriate models of type arx, for all inputs and for each individual output and the corresponding models in the state space. Built the model of the development of the electricity market in Simulink, which in addition to simulation studies can also be used in clinical prediction. The present study used figures taken from the Polish Electricity Statistics yearbooks for the years 1946 to 2007 [17].
Keywords :
genetic algorithms; power markets; power transmission economics; Matlab; SEA; Simulink environment; control system; control theory; electricity market development; genetic algorithm; state space method; system identification toolbox; systemic evolution algorithm; transmission system operator; Genetics; MATLAB; Mathematical model;