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Voltage quality optimization treatment method based on chaos inheritance

A chaotic inheritance and voltage quality technology, applied in the field of electric power, can solve the problems of cumbersome operation, low degree of information integration, difficulty in user-side voltage acquisition, etc., and achieve the effect of improving the rate of active power loss reduction

Active Publication Date: 2021-08-17
RUILI POWER SUPPLY BUREAU OF YUNNAN POWER GRID CORP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the measurement of the distribution network is mainly for 10kV lines, and it is difficult to collect the voltage on the user side. Therefore, at this stage, there is no intelligent control device for the voltage quality of the regional power grid oriented by the user voltage in China. The existing reactive power voltage and power quality management The devices are only distributed at a single point. There is neither a data uploading and collecting platform nor a comprehensive equipment control platform. The research on reactive power and voltage control of the power grid is still in the stage of independent, reactive power optimization control, and changing the tap of transformer voltage regulation, and the technologies of these systems are mastered by different units, lack of integration, the degree of information integration is not high, and the data interface is not enough Standardization, operators cannot grasp the real-time working conditions of power distribution operation, the operation is cumbersome, work efficiency is low, and the management level of power distribution dispatching operation is still low

Method used

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  • Voltage quality optimization treatment method based on chaos inheritance
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  • Voltage quality optimization treatment method based on chaos inheritance

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Embodiment 1

[0037] refer to figure 1 , which is the first embodiment of the present invention, this embodiment provides a voltage quality optimization control method based on chaotic genetics, including:

[0038] S1: Collect the three-phase active power and reactive power at the head end of the feeder and the three-phase voltage of the bus through the SCADA system.

[0039]At present, the distribution network has relatively weak monitoring methods for voltage, mainly relying on traditional manual measurement and a small number of voltage monitors to realize voltage quality monitoring. This embodiment fully integrates and utilizes the existing SCADA system to establish and improve the voltage covering all voltage levels of the power grid The monitoring network realizes the online real-time monitoring of the voltage quality of the power grid. Specifically, the three-phase active power and reactive power at the head end of the feeder and the three-phase voltage (line voltage and phase voltag...

Embodiment 2

[0085] In order to verify and explain the technical effect adopted in this method, this embodiment chooses the genetic algorithm and adopts this method to conduct a comparative test, and compares the test results by means of scientific demonstration, so as to verify the real effect of this method.

[0086] The search speed of the traditional genetic algorithm is slow, and it is easy to fall into the local optimal solution, resulting in unsatisfactory reactive power optimization effect.

[0087] In order to verify that this method has higher search efficiency and better voltage optimization ability than the genetic algorithm, in this embodiment, the basic ant colony algorithm and this method will be used to plan and compare the lines of the power grid system.

[0088] In this embodiment, under the MATLAB / Simulink software environment, a three-phase AC power grid simulation system model is established, and the genetic algorithm and this method are used to optimize and compare the...

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Abstract

The invention discloses a voltage quality optimization treatment method based on chaos inheritance, and the method comprises the steps of collecting the three-phase active power and reactive power of the head end of a feeder line and the three-phase voltage of a bus through an SCADA system, and constructing a voltage optimization model according to the three-phase active power and reactive power and the three-phase voltage of the bus; calculating individual fitness according to the voltage optimization model, and generating an initial population by using a chaos genetic algorithm; performing selection, crossover and mutation operation on the initial population to obtain an evolutionary population; performing immigrant operation on the evolutionary population in combination with the fitness, and setting an iteration condition; if the iteration condition is not met, recalculating the individual fitness; otherwise, outputting a result, and obtaining an optimal solution of the voltage optimization model. The beneficial effects of the invention are that the optimization capability of individuals and the diversity of the individuals are improved through the chaos genetic algorithm, and the reactive loss reduction rate is improved at the same time.

Description

technical field [0001] The invention relates to the technical field of electric power, in particular to a voltage quality optimization control method based on chaotic genetics. Background technique [0002] The problem of voltage quality is a livelihood issue related to the quality of life of thousands of households. Eliminating "low voltage" is a basic requirement for power supply companies to fulfill their social responsibilities and fulfill their service purposes, and it is an important symbol for power supply companies to move towards lean management. The voltage quality of the distribution network is directly related to the safe and economical operation of the power system and the service life of electrical equipment. If the voltage is too low, it may cause a voltage collapse, cause a large-scale power outage, and reduce the operating capacity of the equipment, increase the energy consumption of the equipment, and burn out The user motor, causing the power of the lamp t...

Claims

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Application Information

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IPC IPC(8): H02J3/00H02J3/12H02J3/16G06N3/12
CPCH02J3/00H02J3/12H02J3/16G06N3/126H02J2203/20Y02E40/30
Inventor 柴良明赵静王金芹贺柱
Owner RUILI POWER SUPPLY BUREAU OF YUNNAN POWER GRID CORP
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