CN110690718A - Three-phase load unbalance treatment control method - Google Patents

Three-phase load unbalance treatment control method Download PDF

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CN110690718A
CN110690718A CN201910805224.2A CN201910805224A CN110690718A CN 110690718 A CN110690718 A CN 110690718A CN 201910805224 A CN201910805224 A CN 201910805224A CN 110690718 A CN110690718 A CN 110690718A
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phase
current
unbalance
phase change
commutation
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CN110690718B (en
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杨成刚
朱洪
吴凯
王康
马如意
张超
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Turpan Power Supply Co Of Xinjiang Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/26—Arrangements for eliminating or reducing asymmetry in polyphase networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067—Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/50—Arrangements for eliminating or reducing asymmetry in polyphase networks

Abstract

The invention relates to a three-phase load unbalance treatment control method, which comprises the following steps: the method comprises the following steps: reading current values of A, B and C phases at the outlet side of the transformer area, and calculating whether the unbalance of the three phases at the moment meets a preset standard or not; if yes, continuing reading; if not, continuing the step two; step two: calculating the phase sequence of the connection of the phase change switches in the distribution room based on a cultural genetic algorithm; step three: the single phase change switch receives a phase change instruction, collects instantaneous current of a load end and judges whether switching conditions are met; and the switching condition is to judge whether the instantaneous current of the load end exceeds the rated maximum current. The invention firstly codes the connection phase sequences of all the phase change switches in the transformer area, when the unbalance degree is found to be larger than the preset value, the connection phase sequences of the phase change switches in the transformer area are calculated through a cultural genetic algorithm and are obtained through preferential selection, the calculation process is rapid, and the load three-phase unbalance degree in the transformer area can be effectively adjusted.

Description

Three-phase load unbalance treatment control method
Technical Field
The invention relates to the field of power distribution network treatment, in particular to a three-phase load unbalance treatment control method.
Background
In a low-voltage distribution network, due to the reasons of uneven distribution of three phases of electricity for users and randomness of electricity utilization, unbalance of three-phase currents often occurs in actual operation, which not only increases line loss and brings low-voltage problems to users, but also even damages electricity supply and utilization equipment in severe cases. The thyristor composite phase-change switch, called phase-change switch for short, is a switch capable of automatically changing phase of load under the condition of uninterrupted power supply for user. The phase change switch is usually installed in front of a part of a meter concentration box carried by a low-voltage branch line. The general controller of the three-phase unbalanced system is arranged on a distribution transformer side, and is used for collecting a three-phase current value through a current transformer, controlling the switching of a phase change switch and adjusting the balance of the three-phase current. Therefore, how to realize a control method for improving the three-phase unbalance degree by using the intelligent phase-change switch is needed.
Disclosure of Invention
1. The technical problem to be solved is as follows:
aiming at the technical problem, the invention provides a three-phase load unbalance treatment control method.
2. The technical scheme is as follows:
a three-phase load unbalance treatment control method is characterized by comprising the following steps: the method comprises the following steps:
the method comprises the following steps: reading current values of A, B and C phases at the outlet side of the transformer area, and calculating whether the unbalance of the three phases at the moment meets a preset standard or not; if yes, continuing reading; if not, continuing the step two;
step two: calculating the phase sequence of the connection of the phase change switches in the distribution room based on a cultural genetic algorithm; the process specifically comprises the following steps: step 21: defining a three-phase unbalance treatment model objective function, and setting constraint conditions: the method comprises the following steps:
the three-phase unbalance calculation formula is as follows:
Figure BDA0002183447410000011
(1) in the formula: beta is aA，βB，βCThe value of the outlet side A, B, C phase unbalance degree of the transformer in the transformer area is shown; i isA,IB，ICRespectively representing the current values of A, B and C phases at the outlet sides of the transformer area; i is the measured current average current of the A, B and C phases;
establishing a phase change switch frequency model as follows:
Figure BDA0002183447410000012
(2) wherein X (i) represents whether the ith action is commutation or not; the meaning of parameter 0 is that the switch does not change phase, and the meaning of parameter 1 is that the switch needs to change phase;
constructing an objective function of the commutation times of all the commutation switches, which specifically comprises the following steps:
Figure BDA0002183447410000021
(3) wherein D (X) represents the phase change times of all the phase change switches; delta1Is an objective function with the least number of switching actions; delta2Constructing an objective function with the minimum commutation times;
setting an objective function of the maximum action times of a single commutation switch:
Figure BDA0002183447410000025
(5) the formula shows that the maximum action times of a single commutation switch in a commutation period is 2;
constructing constraint conditions that the current of a single phase cannot exceed the maximum current-carrying capacity and the three-phase unbalance degree of a line;
βMAX≤βpreset value
IA,IB,IC≤ICurrent carrying capacity of line(4)
(4) In the formula betaPreset valueIs a predetermined value of the degree of unbalance, ICurrent carrying capacity of lineIs the preset maximum current in the corresponding line;
setting a weighting function
Figure BDA0002183447410000022
Wherein the parameter n represents the number of commutation switches that need to be actuated; parameter betaMAXRepresenting a preset three-phase maximum unbalance degree; parameter(s)
Figure BDA0002183447410000023
The maximum action times of a single commutation switch in a representative commutation period; a preset weight represented by the parameter ω;
step 22, converting the phase sequence state corresponding to the switch state of each phase change switch in the transformer area into a chromosome sequence, carrying out gene coding, and setting the cross probability PC
Step 23, generating a parent population randomly according to a preset cross probability PCCrossing, wherein the crossed new genes are filial generation individuals, selecting the filial generation individuals to generate new filial generation according to a preset probability, and selecting the variant genes to generate new filial generation according to the variant probability; generating a new generation of population;
step 24, calculating a fitness function value by taking a target function of the formula (3) and the formula (5) as a fitness function for the generated new generation population, performing local search optimization by using a hill climbing algorithm, and outputting an optimization result, namely an access phase sequence of a phase change switch in the transformer area;
step three: the single phase change switch receives a phase change instruction, collects instantaneous current of a load end and judges whether switching conditions are met; and the switching condition is to judge whether the instantaneous current of the load end exceeds the rated maximum current.
Further, the cross probability P in the step 23CIs 0.8.
3. Has the advantages that:
the invention firstly codes the connection phase sequences of all the phase change switches in the transformer area, when the unbalance degree is found to be larger than the preset value, the connection phase sequences of the phase change switches in the transformer area are calculated through a cultural genetic algorithm and are obtained through preferential selection, the calculation process is rapid, and the load three-phase unbalance degree in the transformer area can be effectively adjusted.
Drawings
FIG. 1 is a flow chart embodying the present invention;
FIG. 2 is a flow chart of the phase change switch of the present invention;
FIG. 3 is a flow chart of the algorithm in the cultural genetic algorithm of the present invention.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings.
As shown in figures 1 to 3: a three-phase load unbalance treatment control method is characterized by comprising the following steps: the method comprises the following steps:
the method comprises the following steps: reading current values of A, B and C phases at the outlet side of the transformer area, and calculating whether the unbalance of the three phases at the moment meets a preset standard or not; if yes, continuing reading; if not, continuing the step two;
step two: calculating the phase sequence of the connection of the phase change switches in the distribution room based on a cultural genetic algorithm; the process specifically comprises the following steps: step 21: defining a three-phase unbalance treatment model objective function, and setting constraint conditions: the method comprises the following steps:
the three-phase unbalance calculation formula is as follows:
Figure BDA0002183447410000031
(1) in the formula: beta is aA，βB，βCThe value of the outlet side A, B, C phase unbalance degree of the transformer in the transformer area is shown; i isA,IB，ICRespectively representing the current values of A, B and C phases at the outlet sides of the transformer area; i is the measured current average current of the A, B and C phases;
establishing a phase change switch frequency model as follows:
Figure BDA0002183447410000032
(2) wherein X (i) represents whether the ith action is commutation or not; the meaning of parameter 0 is that the switch does not change phase, and the meaning of parameter 1 is that the switch needs to change phase;
constructing an objective function of the commutation times of all the commutation switches, which specifically comprises the following steps:
(3) wherein D (X) represents the phase change times of all the phase change switches; delta1Is an objective function with the least number of switching actions; delta2Constructing an objective function with the minimum commutation times;
setting an objective function of the maximum action times of a single commutation switch:
Figure BDA0002183447410000042
(5) the formula shows that the maximum action times of a single commutation switch in a commutation period is 2;
constructing constraint conditions that the current of a single phase cannot exceed the maximum current-carrying capacity and the three-phase unbalance degree of a line;
βMAX≤βpreset value
IA,IB,IC≤ICurrent carrying capacity of line(4)
(4) In the formula betaPreset valueIs a predetermined value of the degree of unbalance, ICurrent carrying capacity of lineIs the preset maximum current in the corresponding line;
setting a weighting function
Figure BDA0002183447410000044
WhereinThe parameter n represents the number of commutation switches that need to be actuated; parameter betaMAXRepresenting a preset three-phase maximum unbalance degree; parameter(s)
Figure BDA0002183447410000043
The maximum action times of a single commutation switch in a representative commutation period; a preset weight represented by the parameter ω;
step 22, converting the phase sequence state corresponding to the switch state of each phase change switch in the transformer area into a chromosome sequence, carrying out gene coding, and setting the cross probability PC
Step 23, generating a parent population randomly according to a preset cross probability PCCrossing, wherein the crossed new genes are filial generation individuals, selecting the filial generation individuals to generate new filial generation according to a preset probability, and selecting the variant genes to generate new filial generation according to the variant probability; generating a new generation of population;
step 24, calculating a fitness function value by taking a target function of the formula (3) and the formula (5) as a fitness function for the generated new generation population, performing local search optimization by using a hill climbing algorithm, and outputting an optimization result, namely an access phase sequence of a phase change switch in the transformer area;
step three: the single phase change switch receives a phase change instruction, collects instantaneous current of a load end and judges whether switching conditions are met; and the switching condition is to judge whether the instantaneous current of the load end exceeds the rated maximum current.
Further, the cross probability P in the step 23CIs 0.8.
Simulation example: taking 7 execution terminals in a station area as an example, a topological graph of 7 phase change switches is built. When the three phases are unbalanced, the current magnitudes IA, IB and IC of the three phases are calculated. And further obtaining the three-phase unbalance degree at the outlet side of the transformer according to a formula for calculating the three-phase unbalance of the current. Establishing a corresponding phase sequence state of an access circuit of the pre-phase commutation switch, a corresponding chromosome sequence M, and a current matrix I 'of the current used measured by each commutation switch, wherein A, B, C three-phase current before commutation is M I': obtaining a new chromosome sequence through a cultural gene algorithm, namely the connecting phase sequence of the phase change switch in the region.
According to the simulation result, the method can effectively reduce the three-phase unbalance degree and meet the requirements.
Although the present invention has been described with reference to the preferred embodiments, it should be understood that various changes and modifications can be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (2)

1. A three-phase load unbalance treatment control method is characterized by comprising the following steps: the method comprises the following steps:
the method comprises the following steps: reading current values of A, B and C phases at the outlet side of the transformer area, and calculating whether the unbalance of the three phases at the moment meets a preset standard or not; if yes, continuing reading; if not, continuing the step two;
step two: calculating the phase sequence of the connection of the phase change switches in the distribution room based on a cultural genetic algorithm; the process specifically comprises the following steps: step 21: defining a three-phase unbalance treatment model objective function, and setting constraint conditions: the method comprises the following steps:
the three-phase unbalance calculation formula is as follows:
Figure FDA0002183447400000011
(1) in the formula: beta is aA，βB，βCThe value of the outlet side A, B, C phase unbalance degree of the transformer in the transformer area is shown; i isA,IB，ICRespectively representing the current values of A, B and C phases at the outlet sides of the transformer area; i is the measured current average current of the A, B and C phases;
establishing a phase change switch frequency model as follows:
Figure FDA0002183447400000012
(2) wherein X (i) represents whether the ith action is commutation or not; the meaning of parameter 0 is that the switch does not change phase, and the meaning of parameter 1 is that the switch needs to change phase;
constructing an objective function of the commutation times of all the commutation switches, which specifically comprises the following steps:
Figure FDA0002183447400000013
(3) wherein D (X) represents the phase change times of all the phase change switches; delta1Is an objective function with the least number of switching actions; delta2Constructing an objective function with the minimum commutation times;
setting an objective function of the maximum action times of a single commutation switch:
Figure FDA0002183447400000014
(5) the formula shows that the maximum action times of a single commutation switch in a commutation period is 2;
constructing constraint conditions that the current of a single phase cannot exceed the maximum current-carrying capacity and the three-phase unbalance degree of a line;
βMAX≤βpreset value
IA,IB,IC≤ICurrent carrying capacity of line(4)
(4) In the formula betaPreset valueIs a predetermined value of the degree of unbalance, ICurrent carrying capacity of lineIs the preset maximum current in the corresponding line;
setting a weighting function
Figure FDA0002183447400000021
Wherein the parameter n represents the number of commutation switches that need to be actuated; parameter betaMAXRepresenting a preset three-phase maximum unbalance degree; parameter(s)
Figure FDA0002183447400000022
The maximum action times of a single commutation switch in a representative commutation period; a preset weight represented by the parameter ω;
step 22, converting the phase sequence state corresponding to the switch state of each phase change switch in the transformer area into a chromosome sequence, carrying out gene coding, and setting the cross probability PC
Step 23, generating a parent population randomly according to a preset cross probability PCCrossing, wherein the crossed new genes are filial generation individuals, selecting the filial generation individuals to generate new filial generation according to a preset probability, and selecting the variant genes to generate new filial generation according to the variant probability; generating a new generation of population;
step 24, calculating a fitness function value by taking a target function of the formula (3) and the formula (5) as a fitness function for the generated new generation population, performing local search optimization by using a hill climbing algorithm, and outputting an optimization result, namely an access phase sequence of a phase change switch in the transformer area;
step three: the single phase change switch receives a phase change instruction, collects instantaneous current of a load end and judges whether switching conditions are met; and the switching condition is to judge whether the instantaneous current of the load end exceeds the rated maximum current.
2. The three-phase load unbalance treatment control method according to claim 1, characterized in that: the cross probability P in said step 23CIs 0.8.
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CN114935697A (en) * 2022-07-25 2022-08-23 广东电网有限责任公司佛山供电局 Three-phase load unbalance identification method, system, equipment and medium

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CN114256851B (en) * 2021-12-20 2023-06-16 南方电网电力科技股份有限公司 Intelligent load adjusting method and related device
CN114935697A (en) * 2022-07-25 2022-08-23 广东电网有限责任公司佛山供电局 Three-phase load unbalance identification method, system, equipment and medium

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