Environmental economic power generation dispatching calculation method based on improved multi-objective particle swarm optimization algorithm

Abstract

The invention relates to an environmental economic power generation dispatching calculation method based on an improved multi-objective particle swarm optimization algorithm. The environmental economic power generation dispatching calculation method based on the improved multi-objective particle swarm optimization algorithm comprises the following steps that an electric system environmental economic dispatching module is firstly built, wherein the electric system environmental economic dispatching module takes the lowest fuel cost and the minimum pollution gas emissions as a dispatching target and takes electric generator force outlet limit, system power balance and spinning reserve as constraint; the multi-objective particle swarm optimization algorithm is improved, the improved multi-objective particle swarm optimization algorithm is applied to electric system environmental economic dispatching calculation, an individual optimal solution is selected according to Pareto dominant conditions, a globally optimal solution is selected by the adoption of a method based on noninferior solution sparseness rank, and a slope method is put forward to delete a solution away from the Pareto optimal frontier according to the slope characteristic of the Pareto optimal frontier; finally, an eclectic optimal solution of the Pareto optimal frontier is selected by the adoption of a fuzzy mathematics method to assist a decider in selecting a dispatching scheme. The environmental economic power generation dispatching calculation method based on the improved multi-objective particle swarm optimization algorithm is simple in calculation, high in operation speed, good in stability, and easy to realize in engineering.

Description

technical field [0001] The invention belongs to the technical field of multi-objective optimal dispatching of power systems, and in particular relates to an environment-economic power generation dispatching solution method based on an improved multi-objective particle swarm algorithm. Background technique [0002] The economic dispatching of power system is to solve the dispatching scheme that makes the power generation cost or fuel cost of the system the lowest under the condition of satisfying the balance of power supply and demand and the upper and lower limits of unit output. However, thermal power units inevitably discharge pollutant gases such as sulfur oxides, nitrogen oxides, and carbon dioxide into the atmosphere during the power generation process. With the enhancement of people's awareness of environmental protection, limiting the emission of polluting gases has become an important dispatching goal of the power system, and the power system has changed from the ori...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the disadvantages that the system constraints cannot be strictly satisfied or the distribution of the Pareto optimal front (POF) obtained by the existing method is not sufficiently wide and uniform when solving the environmental economic power generation dispatching scheme, and proposes a The new solution method for environmental economic power generation dispatching based on improved multi-objective particle swarm optimization algorithm, establishes a mathematical model for environmental economical power generation dispatching, gives a processing method to strictly satisfy the constraints, improves the individual optimal solution of multi-objective particle swarm optimization and global The selection method of the optimal solution proposes to screen the dominant solution according to the slope characteristics of the Pareto optimal front, which realizes the broadness and uniformity of the distribution of the Pareto optimal front; Scheduling, especially suitable for using the B coefficient matrix method to solve the environmental economic scheduling problem of network loss

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