The invention discloses a thermal power
plant environment economic dispatching method based on a multi-target
differential evolution algorithm.The method comprises the following steps that a thermal power
plant economic dispatching model with the lowest
electricity generation cost and smallest
pollutant discharge quantity as targets and with generator capacity and
power balance as constraint conditions is built; the multi-target
differential evolution algorithm is utilized for carrying out optimization solving on the model, an optimal
Pareto solution set is obtained, the multi-target
differential evolution algorithm adopts difference
mutation operators for searching,
mutation operators are selected based on the accumulation performance and using frequency of the operators of the latest several times of variation, and solution set convergence and
distribution uniformity are ensured by means of non-dominated
ranking, domination frequency and hypervolume contribution and the like; finally, a decision is made through the
fuzzy set theory, and a compromise solution is selected from the
Pareto solution set to be used as a final regulation scheme.The thermal power
plant environment economic dispatching method has the advantages that precision is high, Pareto
leading edge solution set distribution is uniform and convergence speed is high, and
engineering realization is easy.