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Reactive power optimization method of electric power system based on improved CSO algorithm

A power system and optimization method technology, applied in reactive power compensation, reactive power adjustment/elimination/compensation, calculation, etc., can solve problems such as many control parameters, poor global convergence ability, long running time of genetic algorithm, etc.

Active Publication Date: 2015-02-11
JIEYANG POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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Problems solved by technology

[0004] Although these algorithms have their own characteristics and have made some progress to varying degrees, there are still many disadvantages for reactive power optimization of power systems, a complex optimization problem with multiple constraints, nonlinearity, and high latitude.
Such as: Genetic Algorithm (GA) runs for a long time; Particle Swarm Optimization (PSO) is easy to fall into local optimum; Evolutionary Algorithm (EA), Artificial Bee Colony Algorithm (ACO), Group Search Algorithm (GSO) and other particle diversity are poor, and the control parameters Wait a minute
In addition, many algorithms have poor global convergence ability. For the complex model of reactive power optimization, the global convergence ability is not strong enough, and it is easy to fall into local optimum.

Method used

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  • Reactive power optimization method of electric power system based on improved CSO algorithm
  • Reactive power optimization method of electric power system based on improved CSO algorithm
  • Reactive power optimization method of electric power system based on improved CSO algorithm

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Embodiment Construction

[0071] Such as figure 1 Shown is the IEEE-57 node system diagram of the power system embodiment of the application of the present invention.

[0072] The system includes 7 generators, 3 reactive power compensation points and 15 on-load voltage regulating transformers. The voltage adjustment range is [0.95,1.1], the reactive power compensation is set at nodes 18, 25, and 53, and is divided into 10 levels of adjustment, and the upper limit is 0.2, 0.1, and 0.1 respectively. The ratio adjustment range is [0.9,1.1]. The reference power is 100MW, and the initial active network loss of the system is 0.3030pu.

[0073] Such as figure 2 The flow chart of the power system reactive power optimization method based on the improved CSO algorithm in the IEEE57 node system example of the present invention includes the following steps:

[0074] Step 1, taking the minimum active power network loss of the system as the objective function, considering the equality constraints and inequality...

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Abstract

The invention discloses a reactive power optimization method of an electric power system based on an improved CSO algorithm. The algorithm is a swarm intelligent search algorithm based on an improved CSO (ICSO) algorithm. The reactive power optimization method mainly comprises a horizontal cross operator, a longitudinal cross operator and a differential mutation operator. In horizontal cross, every two of all particles in a population are non-repeatedly paired in the horizontal cross, and the paired particles and the edges thereof are searched and updated in real time; in longitudinal cross, all dimensions are paired and then subjected to arithmetic cross; in differential mutation, all particles are subjected to mutation disturbance and cross and finally subjected to preferential selection; the three operators update the population through the selection operation, so that the convergence rate is accelerated and the population diversity is kept. The reactive power optimization method has the beneficial effects that the convergence speed of the ICSO algorithm is high, information exchange among individuals in the population is complete, the global convergence capability is strong, the particle diversity is good, and the reaction power optimization method has good applicability aiming at the high-dimensionality, multi-constraint and nonlinear complicated practical problem of reactive optimization of the electric power system.

Description

technical field [0001] The invention relates to a reactive power optimization method of a power system, in particular to a reactive power optimization method of a power system based on an improved CSO (ICSO) algorithm. Background technique [0002] Power system reactive power optimization is of great significance to the efficient, stable and economical operation of the power system. As a typical optimization problem in the power system, reactive power optimization refers to the rational configuration of the power grid by controlling the extreme voltage output of the generator, the reactive power compensation capacity, and the tap of the on-load tap changer on the basis of satisfying various constraints. Reactive power flow distribution minimizes network transmission loss, improves system voltage quality, and improves system security and economy. This is an optimization problem with nonlinear, multi-dimensional, multi-constrained, combination of continuous and non-continuous...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/18G06N3/00
CPCY02E40/30H02J3/18G06N3/126
Inventor 卢道远陈冬沣欧周孟安波李专陈智慧
Owner JIEYANG POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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