CN104466983A - Reactive power optimization intelligent control system - Google Patents

Reactive power optimization intelligent control system Download PDF

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Publication number
CN104466983A
CN104466983A CN201410763311.3A CN201410763311A CN104466983A CN 104466983 A CN104466983 A CN 104466983A CN 201410763311 A CN201410763311 A CN 201410763311A CN 104466983 A CN104466983 A CN 104466983A
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CN
China
Prior art keywords
intelligent control
reactive power
solution
compensation
optimization intelligent
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201410763311.3A
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Chinese (zh)
Inventor
谷霄飞
许锡海
王国华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
WUXI XIRONG ELECTRIC APPLIANCE Co Ltd
Original Assignee
WUXI XIRONG ELECTRIC APPLIANCE Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by WUXI XIRONG ELECTRIC APPLIANCE Co Ltd filed Critical WUXI XIRONG ELECTRIC APPLIANCE Co Ltd
Priority to CN201410763311.3A priority Critical patent/CN104466983A/en
Publication of CN104466983A publication Critical patent/CN104466983A/en
Pending legal-status Critical Current

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Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/18Arrangements for adjusting, eliminating or compensating reactive power in networks
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/30Reactive power compensation

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a reactive power optimization intelligent control system. The system comprises a reactive power compensation controller, a communication system and an upper computer system. The reactive power controller is installed on the site of a power grid and used for collecting operating parameters of compensation points and outputting the operating parameters to the upper computer system through the communication system. The upper computer system is installed inside a dispatch room, and used for receiving the operating parameters of the compensation points and the outlet electric parameter, output by a transformer substation dispatching automation system, of a transformer substation, with the operation parameters of the compensation points and the outlet electric parameter of the transformation substrate as original data, optimization calculation is performed through the reactive optimization intelligent control method, and a switching command is transmitted to a lower computer to be optimized and controlled according to the optimization result. Reactive compensation devices are reasonably distributed, operation is optimized, network losses are reduced, the voltage qualification rate is increased, and the input cost is lowered.

Description

A kind of idle work optimization intelligent control system
Technical field
The present invention relates to reactive power compensation technology field, particularly relate to a kind of idle work optimization intelligent control system.
Background technology
Town and country distribution network system, the impact of the seasonal factor such as by force of, load large by radius of electricity supply, also exists the problems such as the low and line loss of quality of voltage difference, power factor is large for a long time.Therefore wastage reducing and energy saving, improve power distribution network power supply quality, improve the economic benefit of power supply enterprise, being electric power system problem in the urgent need to address, is also one of main target of urban and rural power grids design and construction transformation.Along with country carries out transformation and upgrade energetically to rural power grids, rural power grids require more and more higher, directly along with erection column reactive-load compensation device placed on electric wire in enormous quantities in rural power grids to the quality of power supply.But the installation of these reactive power compensators has that quantity is many, place is remote, the very feature such as dispersion.Therefore, how scientific and reasonable these devices of distribution, reach optimized compensation effect with most economical cost and cause great puzzlement to users.
Summary of the invention
The object of the invention is to, by a kind of idle work optimization intelligent control system, solve the problem that above background technology part is mentioned.
For reaching this object, the present invention by the following technical solutions:
A kind of idle work optimization intelligent control system, it comprises idle compensating control, communication system and master system; Described idle compensating control is installed on electrical network scene, for gathering the operational factor of compensation point, and exports to master system by communication system; Described master system is installed with in control room, for the outlet electric parameter of the transformer station that the operational factor and transformer station's dispatch automated system that receive compensation point export, and according to the outlet electric parameter of the operational factor of described compensation point, transformer station as initial data, be optimized calculating by idle work optimization intelligent control method, according to optimum results, switching instruction be sent to slave computer and realize optimal control.
Especially, described idle work optimization intelligent control method specifically comprises:
A, input described initial data;
B, initial solution when calculating present period reactive power compensation;
C, attempt calculating test by described initial solution and separate;
D, judge whether this group solution all verifies end, if so, then perform step G, otherwise perform step e;
E, judge whether to meet switching frequency constraint, if so, then perform step F, otherwise pointer is shifted to next test and separate, return step D,
The via net loss that F, calculating current test are taken off, shifts to next test and separates, return step D by pointer;
G, from this group test solution find out the solution meeting target function most;
H, judge whether round of visits, if so, then perform next step, otherwise integrating step B calculate present period reactive power compensation time initial solution, perform step C;
I, output optimal solution, wait for next round of visits.
The idle work optimization intelligent control system that the present invention proposes makes reactive power compensator reasonably distribute, and optimizing operation, not only reduces via net loss, improves rate of qualified voltage, and has saved input cost.
Accompanying drawing explanation
The idle work optimization Structure of intelligent control system schematic diagram that Fig. 1 provides for the embodiment of the present invention;
The idle work optimization intelligent control method flow chart that Fig. 2 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with drawings and Examples, the invention will be further described.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, illustrate only part related to the present invention in accompanying drawing but not full content, unless otherwise defined, all technology used herein and scientific terminology are identical with belonging to the implication that those skilled in the art of the present invention understand usually.The object of term used herein just in order to describe specific embodiment, is not intended to be restriction the present invention.
Please refer to shown in Fig. 1, the idle work optimization Structure of intelligent control system schematic diagram that Fig. 1 provides for the embodiment of the present invention.
In the present embodiment, idle work optimization intelligent control system specifically comprises idle compensating control, communication system and master system.Described idle compensating control is installed on electrical network scene, for gathering the operational factor of compensation point, and exports to master system by communication system.Described master system is installed with in control room, for the outlet electric parameter of the transformer station that the operational factor and transformer station's dispatch automated system that receive compensation point export, and according to the outlet electric parameter of the operational factor of described compensation point, transformer station as initial data, be optimized calculating by idle work optimization intelligent control method, according to optimum results, switching instruction be sent to slave computer and realize optimal control.Described communication system adopts the communication technology and network technology to realize the exchanges data of master system and the slave computer such as idle compensating control, transformer station's dispatch automated system.
As shown in Figure 2, specifically comprise in the intelligent control method of idle work optimization described in the present embodiment:
S1, beginning, input described initial data.
S2, initial solution when calculating present period reactive power compensation.
S3, attempt calculating test by described initial solution and separate.
S4, judge whether this group solution all verifies end, if so, then perform step S7, otherwise perform step S5.
S5, judge whether to meet switching frequency constraint, if so, then perform step S5, otherwise pointer is shifted to next test and separate, return step S4.
The via net loss that S6, calculating current test are taken off, and pointer is shifted to next test solution, return step S4.
S7, from this group test solution find out the solution meeting target function most.
S8, judge whether round of visits, if so, then perform next step, otherwise integrating step S2 calculate present period reactive power compensation time initial solution, perform step S3.
S9, output optimal solution, wait for next round of visits.
Technical scheme of the present invention makes reactive power compensator reasonably distribute, and optimizing operation not only reduces via net loss, improves rate of qualified voltage, and has saved input cost.
Note, above are only preferred embodiment of the present invention and institute's application technology principle.Skilled person in the art will appreciate that and the invention is not restricted to specific embodiment described here, various obvious change can be carried out for a person skilled in the art, readjust and substitute and can not protection scope of the present invention be departed from.Therefore, although be described in further detail invention has been by above embodiment, the present invention is not limited only to above embodiment, when not departing from the present invention's design, can also comprise other Equivalent embodiments more, and scope of the present invention is determined by appended right.

Claims (2)

1. an idle work optimization intelligent control system, is characterized in that, comprises idle compensating control, communication system and master system; Described idle compensating control is installed on electrical network scene, for gathering the operational factor of compensation point, and exports to master system by communication system; Described master system is installed with in control room, for the outlet electric parameter of the transformer station that the operational factor and transformer station's dispatch automated system that receive compensation point export, and according to the outlet electric parameter of the operational factor of described compensation point, transformer station as initial data, be optimized calculating by idle work optimization intelligent control method, according to optimum results, switching instruction be sent to slave computer and realize optimal control.
2. idle work optimization intelligent control system according to claim 1, is characterized in that, described idle work optimization intelligent control method specifically comprises:
A, input described initial data;
B, initial solution when calculating present period reactive power compensation;
C, attempt calculating test by described initial solution and separate;
D, judge whether this group solution all verifies end, if so, then perform step G, otherwise perform step e;
E, judge whether to meet switching frequency constraint, if so, then perform step F, otherwise pointer is shifted to next test and separate, return step D,
The via net loss that F, calculating current test are taken off, shifts to next test and separates, return step D by pointer;
G, from this group test solution find out the solution meeting target function most;
H, judge whether round of visits, if so, then perform next step, otherwise integrating step B calculate present period reactive power compensation time initial solution, perform step C;
I, output optimal solution, wait for next round of visits.
CN201410763311.3A 2014-12-11 2014-12-11 Reactive power optimization intelligent control system Pending CN104466983A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410763311.3A CN104466983A (en) 2014-12-11 2014-12-11 Reactive power optimization intelligent control system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410763311.3A CN104466983A (en) 2014-12-11 2014-12-11 Reactive power optimization intelligent control system

Publications (1)

Publication Number Publication Date
CN104466983A true CN104466983A (en) 2015-03-25

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410763311.3A Pending CN104466983A (en) 2014-12-11 2014-12-11 Reactive power optimization intelligent control system

Country Status (1)

Country Link
CN (1) CN104466983A (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102882217A (en) * 2012-10-20 2013-01-16 吉林省电力有限公司通化供电公司 10-kV distribution net front end operation parameter long-distance collection system and control method
CN203289108U (en) * 2012-11-23 2013-11-13 国家电网公司 GPRS-based distribution line reactive power optimization intelligent control system
CN103853042A (en) * 2012-11-30 2014-06-11 沈阳工业大学 Decomposition optimization method of multi-terminal unified power flow controller

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102882217A (en) * 2012-10-20 2013-01-16 吉林省电力有限公司通化供电公司 10-kV distribution net front end operation parameter long-distance collection system and control method
CN203289108U (en) * 2012-11-23 2013-11-13 国家电网公司 GPRS-based distribution line reactive power optimization intelligent control system
CN103853042A (en) * 2012-11-30 2014-06-11 沈阳工业大学 Decomposition optimization method of multi-terminal unified power flow controller

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
叶品勇 等: "改进Tabu搜索方法在无功优化中的应用", 《电气应用》 *

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Application publication date: 20150325

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