Wind power plant included multiple-target unit commitment optimization method considering harmful gas discharge amount

Abstract

The invention discloses a wind power plant included multiple-target unit commitment optimization method considering the harmful gas discharge amount. The method adopts wind power interval prediction information to consider the wind power output uncertainty, establishes a multiple-target unit commitment optimization model with lowest conventional unit power generation cost and lowest harmful gas discharge amount and provides a novel multiple-target quantum disperse particle swarm optimization method to solve the model and obtain a Pareto optimal solution, and finally a decision maker compromises and selects a most suitable unit starting-stopping and load allocation plan according to the requirements for operation cost and environmental benefit. By adopting the method, access of a large-scale wind power plant can be coped, the economic benefit and environmental benefit are comprehensively considered on the unit commitment problem, the provided multiple-target quantum disperse particle swarm optimization method integrates the advantages of a quantum theory and classic disperse particle swarms, and a Pareto optimal basic concept is introduced to solve the multiple-target optimization problem. Compared with the prior art, the wind power plant included multiple-target unit commitment optimization method has the advantages of being high in convergence speed, high in computing efficiency and good in optimization result and is practical for solution of the unit commitment problem of a large-scale power grid.

Description

technical field [0001] The invention belongs to the field of dispatching operation and analysis and calculation of electric power systems, in particular to a multi-objective unit combination optimization method for electric power systems including wind farms considering harmful gas emissions. Background technique [0002] In response to the national call for energy conservation and emission reduction, the proportion of wind power connected to the grid is also increasing. On the one hand, wind power does not produce any harmful gases, and the introduction of wind power can reduce the emission of harmful gases in the country; on the other hand, due to the uncertainty and randomness of wind power, its large-scale connection will add an additional burden to system operation. However, any restrictions imposed on the operation of the system will lead to an increase in operating costs and may have an adverse impact on emissions. Therefore, it is very necessary to take into account...

AI Technical Summary

Problems solved by technology

For multi-objective optimization problems, there are multiple conflicting objectives, and how to obtain the optimal solution is very difficult

Although the non-Pareto method is efficient and easy to implement, it cannot produce some parts of the Pareto optimal front end, so there is an urgent need for a multi-objective optimization method for solving unit combination optimization problems

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