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Distribution network reactive power optimization method based on improved artificial bee colony algorithm

An artificial bee colony algorithm and optimization method technology, applied in the field of electric power information, can solve problems such as slow convergence speed, local optimum, and underutilization, and achieve the effects of reducing operating costs, speeding up convergence speed, and improving diversity

Inactive Publication Date: 2016-09-21
SUZHOU FANNENG ELECTRIC POWER TECH CO LTD
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AI Technical Summary

Problems solved by technology

However, the algorithm has insufficient utilization of solutions in the search phase, slow convergence speed, and easy to fall into local optimum. In order to solve this problem

Method used

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  • Distribution network reactive power optimization method based on improved artificial bee colony algorithm
  • Distribution network reactive power optimization method based on improved artificial bee colony algorithm
  • Distribution network reactive power optimization method based on improved artificial bee colony algorithm

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Embodiment Construction

[0050] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0051] The present invention proposes a reactive power optimization method for distribution network based on improved artificial bee colony algorithm, the flow chart of which is as follows figure 1 As shown, it specifically includes the following steps:

[0052] Step 1: Establish a reactive power optimization model of the distribution network and set constraints, which include power constraints and variable constraints.

[0053] The reactive power optimization model of the distribution network is the basis for studying the reactive powe...

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Abstract

The invention puts forward a distribution network reactive power optimization method based on an improved artificial bee colony algorithm, specifically comprising the following steps: building a distribution network reactive power optimization model, and setting constraint conditions; setting a control variable and a state variable; initializing a population; randomly generating the initial position of the population, and calculating the fitting value; carrying out local optimization; updating the position of a nectar source, calculating the fitting value, and keeping an optimal solution; and judging the termination conditions, and outputting the optimal solution. The crossover and mutation mechanism in the difference algorithm is introduced into the artificial bee colony algorithm. The method is applicable to reactive power optimization of a distribution system. The convergence speed is increased. The local search ability of the artificial bee colony algorithm is improved. The effect of network loss is reduced. The operation cost of the power grid is lowered.

Description

technical field [0001] The invention belongs to the technical field of electric power information, in particular to a reactive power optimization method of a distribution network based on an improved artificial bee colony algorithm. Background technique [0002] Power system reactive power optimization refers to the given known quantities including active load, active power supply, and power flow distribution, and the minimum active network loss value and the optimal value of quality voltage in the system that can satisfy all constraints in the system are determined through optimization calculations. The disordered flow of the system will increase its active power loss. Once the system has insufficient reactive power and disturbances, the voltage level will be low. When it is lower than the critical voltage, a voltage collapse will occur, which will cause the system to fail due to out of synchronization. Crash catastrophic accident. [0003] Reactive power optimization prob...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06N3/00
CPCG06N3/006G06Q10/04G06Q50/06Y02E40/70Y04S10/50
Inventor 岳东高浩秦媛
Owner SUZHOU FANNENG ELECTRIC POWER TECH CO LTD
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