Thermal power plant environment economic dispatching method based on multi-target differential evolution algorithm

Abstract

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.

Description

technical field [0001] The invention relates to the technical field of power system dispatching, in particular to an environmental economic dispatching method for thermal power plants based on a multi-objective differential evolution algorithm. Background technique [0002] The economic dispatch of power system is to solve the dispatch scheme that minimizes the cost of power generation on the basis of satisfying the operating constraints of the power system. For thermal power generators, a large amount of pollutants or greenhouse gases such as sulfur oxides, nitrogen oxides and carbon dioxide are emitted during the power generation process. If the pollutant emissions in the power generation process are considered, the original single-objective economic dispatch is transformed into a multi-objective environmental economic dispatch. The difficulty of formulating a scheduling plan is increased due to conflicting cost targets and pollutant discharge targets. [0003] The metho...

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Problems solved by technology

[0004] At present, the academic circles have conducted some research on the environmental economic dispatch of thermal power plants, and achieved some results, such as "Environmental Economic Dispatch of Power System Based on Multi-objective Evolutionary Algorithm" by Zhu Yongsheng et al. Economic Dispatch", "Environmental Economic Power Generation Dispatch Using Multi-objective Improved Differential Evolutionary Algorithm" by Hu Bin et al., etc., but the above methods still have inaccurate differential calculations, which cannot improve the feasibility and effectiveness of solving environmental economic dispatch. The problem

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