Reactive Power Optimization Method of Power System Based on Clone-Particle Swarm Hybrid Algorithm

A power system and optimization method technology, applied in reactive power compensation, reactive power adjustment/elimination/compensation, calculation, etc., can solve the problems of reducing network loss, inability to obtain, and difficult to jump out, so as to reduce operating costs and system The effect of small network loss and strong ability to search for the global optimal solution

Inactive Publication Date: 2011-12-14
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0004] Although the standard particle swarm optimization algorithm is easy to implement and can achieve a certain optimization effect in reactive power optimization problems, in this algorithm, the particles are easy to fall into t

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  • Reactive Power Optimization Method of Power System Based on Clone-Particle Swarm Hybrid Algorithm
  • Reactive Power Optimization Method of Power System Based on Clone-Particle Swarm Hybrid Algorithm
  • Reactive Power Optimization Method of Power System Based on Clone-Particle Swarm Hybrid Algorithm

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Embodiment Construction

[0011] Take the active loss (i.e. network loss) of the power system to be optimized as the fitness function to find the minimum network loss of the system; the Newton-Raphson method is used to solve the power flow, and the network loss of each branch is superimposed to obtain the network loss of the whole system . In the main program, the realization of the proposed algorithm logic is the main line, and the fitness function for network loss is called as a sub-function. The final global optimal solution obtained is the minimum network loss of the system, and the corresponding optimal particles are control variable parameters such as generator voltage, transformer tap position, and number of shunt capacitor bank switching groups.

[0012] before the entire algorithm The second cycle is calculated by the standard particle swarm algorithm. is the algebra close to convergence of the standard particle swarm algorithm; The following cycles are calculated by clone-particle swarm...

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Abstract

The invention relates to a method for reactive power optimization of an electric power system on the basis of a clone-particle swarm hybrid algorithm. The method comprises the following steps of: solving a trend by adopting a Newton-Laphson algorithm; superimposing network losses of each branch to obtain the network losses of a whole system; and introducing a clonal operator of a clonal algorithminto a standard particle swarm algorithm. The clone-particle swarm hybrid algorithm has stronger capacity of searching the globally optical solution; and compared with a method for the reactive poweroptimization of the electric power system on the basis of the standard particle swarm algorithm, the method for the reactive power optimization of the electric power system on the basis of the clone-particle swarm hybrid algorithm obtains a smaller system network loss value, and can reduce the running cost of an electric network to a greater degree.

Description

technical field [0001] The invention relates to a power system control method, in particular to a power system reactive power optimization method based on a clone-particle swarm hybrid algorithm. Background technique [0002] The disordered flow of reactive power flow in the power system will increase the active power loss of the system. Optimizing the allocation and control of reactive power can improve the system voltage quality, reduce active power loss, save operating costs, and achieve the goal of "energy saving and emission reduction". Purpose. Commonly used reactive power / voltage regulation methods include generator voltage, transformer tap position, shunt capacitor group switching group number, etc. By adjusting the voltage of the generator, the gear position of the transformer tap, and the number of switching groups of parallel capacitor banks, under the conditions of satisfying various constraints of the system operation, the optimal configuration of reactive powe...

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Application Information

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IPC IPC(8): H02J3/18G06N3/00
CPCY02E40/30
Inventor 韩文花孙建鹏
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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