Set combination optimization method based on BPSO and Lagrange multiplier algorithm

A technology of discrete particle swarm and unit combination, which is applied in computing, data processing applications, instruments, etc., can solve problems affecting the convergence of algorithms, dynamic programming methods with a large amount of calculation, and difficult to deal with large-scale systems
CN102426689AActive Publication Date: 2012-04-25ZHEJIANG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
ZHEJIANG UNIV
Publication Date
2012-04-25

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Abstract

The invention, which belongs to the power system scheduling automation technology field, aims at providing a set combination optimization method based on a BPSO and a Lagrange multiplier algorithm. An operation cost of a generator set is used as an optimized object and the BPSO and the Lagrange multiplier algorithm are combined. And the method comprises the following steps that: initial starting up and stopping matrixes are generated randomly; a matrix that does not satisfy a minimum starting up and stopping constraint condition is transformed; with regard to a starting up and stopping matrix that can satisfy a power constraint condition, the Lagrange multiplier algorithm is used to solve a power distribution scheme; a matrix adaptive value is calculated; an individual optimal value and a global optimal value are updated; a particle speed and a matrix element are updated; and an optimal power distribution matrix and an adaptive value are output after the iteration number is reached. According to the method provided in the invention, resource configuration capability of a power system can be effectively improved and set operation costs are reduced.
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Description

technical field

[0001] The invention belongs to the technical field of power system scheduling automation, and in particular relates to a unit combination optimization method based on discrete particle swarm and Lagrangian multiplier algorithm. Background technique

[0002] With the increasing scale of the power system and the improvement of social awareness of "energy saving and emission reduction", the requirements for rational allocation of power grid resources and ensuring the economic operation of the power system are getting higher and higher. Unit combination optimization is to determine the units participating in the operation and the active power output of each unit during the operation period in a dispatch cycle (generally 24 hours) under the condition of satisfying the system load, spinning reserve requirements and technical conditions of unit operation. The total operating cost of the system is minimized.

[0003] At present, the optimization methods to solve th...

Claims

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