An evolution based algorithm for environmentally constrained thermal scheduling problems

This paper develops an efficient algorithm, based on the simulation of the generation system and the application of evolutionary algorithms, for solving the short-term thermal scheduling (STTS) problem. But beyond the usual power balance equation and bounds on variables, this formulation can handle some other important aspects of thermal units, such as turbine valving effects or environmental constraints, which are rarely taken into account. Besides, since this approach can deal with several units and load demand nodes, a graphic interface to define completely the topology of the power system was also developed. Therefore, if necessary, transmission losses can be easily estimated with the help of a DC power flow