Consideration unit embargo area electric power system dispatching method based on extension lambda iteration method

Abstract

The invention discloses a consideration unit embargo area electric power system dispatching method based on an extension lambda iteration method. The consideration unit embargo area electric power system dispatching method comprises the following steps that 1) relevant data of each generator set of an electric power system are obtained; 2) a mathematical optimization model for a consideration unit embargo area electric power system economic dispatching problem is built; 3) the consideration unit embargo area electric power system economic dispatching problem is solved by means of the extension lambda iteration method without regard to electric transmission line loss, and an initial solution is obtained; 4) according to the initial solution, a system of linear equations is solved in an iteration mode, and a final solution for the consideration unit embargo area electric power system economic dispatching problem is obtained; 5) the final solution is sent to a relevant power station or unit through an automatic generation control device, and unit electricity generation power is controlled through the automatic generation control device. The consideration unit embargo area electric power system dispatching method based on the extension lambda iteration method has the advantages of being high in precision and small in calculated amount for a large-scale electric power system with a large number of units, and improves the economy and efficiency of electricity generation of the electric power system.

Description

technical field [0001] The invention relates to a power system scheduling method, in particular to a power system scheduling method based on an extended lambda iteration method considering unit embargo areas, and belongs to the field of power system operation, analysis and scheduling. Background technique [0002] The power system economic dispatch problem considering the unit embargo area has a discontinuous solution space, and the traditional gradient-based solution method cannot be directly used to solve the problem. In order to better solve this problem, scholars have proposed the evolutionary programming algorithm [1] , the genetic algorithm [2][3] ,Ant Colony Algorithm [4] , particle swarm optimization algorithm [5][6] , chaotic particle swarm optimization algorithm [7] , the multi-tabu search algorithm [8] , the artificial immune system algorithm [9] , group search optimization algorithm [10] , bee colony algorithm [11] and the firefly algorithm [12] However,...

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Problems solved by technology

[0017] The purpose of the present invention is to solve the above-mentioned prior art when the number of power system units is large and many units contain embargoed areas, the characteristics of the solution space of the power system economic dispatch problem are not fully utilized, the solution efficiency is low, the calculation amount is huge, and The accuracy of the solution cannot be guaranteed, and the calculation time is relatively long. Provide a power system scheduling method based on the extended λ iteration method that can greatly improve economic efficiency and consider the embargoed area of ​​the unit.

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