CN103593507A - Automatic intelligent central deloading method for power grids - Google Patents

Automatic intelligent central deloading method for power grids Download PDF

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CN103593507A
CN103593507A CN201310488145.6A CN201310488145A CN103593507A CN 103593507 A CN103593507 A CN 103593507A CN 201310488145 A CN201310488145 A CN 201310488145A CN 103593507 A CN103593507 A CN 103593507A
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CN103593507B (en
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刘四聪
李文朝
吴锡武
邹剑
刘国伟
刘全昌
潘凯岩
赵勇
宋学清
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Maoming Power Supply Bureau of Guangdong Power Grid Co Ltd
Dongfang Electronics Co Ltd
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    • 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
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225Demand response systems, e.g. load shedding, peak shaving
    • 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20End-user application control systems
    • Y04S20/222Demand response systems, e.g. load shedding, peak shaving

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Abstract

The invention aims to provide an automatic intelligent central deloading method for power grids. The method includes automatic modeling and combination optimization. Automatic modeling includes: establishing an index table, determining an initial parameter range, and automatically establishing a model. Combination optimization includes: determining a deloading load range and impact factor weight, screening deloading loads, ranking the loads, and making a combination optimization strategy. The method has the advantages that various sequence tables requiring condition generation are supported and various factors can be comprehensively considered during calculation of actual strategies.

Description

Electrical network automated intelligent is concentrated off-load method
Technical field
The present invention relates to power system automatic field, relate in particular to a kind of method of concentrating off-load system model automatically to generate and generate off-load strategy by Combinatorial Optimization mode for electrical network intelligence.
Background technology
No matter from national Background of Academic Resources, or from current power industry present situation, or from the Analysis of Development Situation of national economy, all need whole people's using electricity wisely.And using electricity wisely be unable to do without planned supply and use of electric power, planned supply and use of electric power are assurances of using electricity wisely.The < < electric power law > > that country issues has also clearly stipulated the management principle of planned supply and use of electric power.Power cuts to limit consumption is to relax imbalance between power supply and demand, and one of important means of saves energy, is also to make full use of power supply equipment ability, improves important measures of generating and electricity consumption economic benefit.Very nervous at current power, in the very serious situation of short of electricity, the off-load of rationing the power supply is very important.Technical development along with energy management system in electric system, off-load method during power load peak is more and more intelligent, according to the model pre-defining and certain off-load algorithm, can provide rapidly and be applicable to the off-load strategy that current electrical network feature and off-load require.Intelligence off-load need to be in the face of the tagmeme table of rationing the power supply under different demands, and same load can belong to a plurality of modes of rationing the power supply, and how making model have versatility is a challenge.Off-load algorithm need to consider the factor of some electrical network the present situations, and reasonably off-load algorithm also concentrates the effect of off-load to have a great impact to intelligence.
Summary of the invention
The object of the present invention is to provide the various actual conditions of a kind of adaptation, the electrical network automated intelligent that have dirigibility, unitarity concurrently, considers each influence factor is concentrated off-load method.The method is supported the tagmeme table that various demand conditions produce, and can when calculating practical strategies, consider various factors.
Object of the present invention can realize by following technical measures:
Automated intelligent is concentrated an off-load method, comprises automatic modeling and Combinatorial Optimization two parts, and it is being characterised in that:
Wherein, described automatic modeling comprises the steps:
1.1) set up concordance list: set up off-load model recording indexes table, the field of table is index class name, index value, wherein index class name represents the table name that index is used for, index value represents the state-of-the-art record index of current table, when a model of interpolation records, the index value of model record is taken as the index value of concordance list;
1.2) initial parameter range is determined
Determine the parameter of model record needs and the span of this parameter, parameter mainly contains off-load region and tagmeme table name; Wherein, described off-load region is used for representing that off-load load belongs to some off-loads region; Concrete area power grid need to be set up different tagmeme table names according to different reality; Described tagmeme table comprises the tagmeme table of rationing the power supply of avoiding the peak hour, the tagmeme table of rationing the power supply beyond the planned quota, the accident tagmeme table of rationing the power supply.Described tagmeme table, when modeling, need to pre-define tagmeme table name and claim and ID, and supports the interpolation of follow-up off-load type.
1.3) automatic modeling process
According to the tagmeme table of area power grid, set up model record, mainly need the value of record to have:
Plant stand, English name, describes, and drops into sign, locking sign, Monday priority, Tuesday priority, Wednesday priority, Thursday priority, Friday priority, Saturday priority, Sunday priority; After filling in complete record value, in setting up the process of a model record, from off-load concordance list, inquire about the index of the model record of current foundation, automatically set up a record together with other field combination;
Described Combinatorial Optimization comprises the steps:
2.1) off-load load range is determined and factor of influence weight is determined
First determine type and the off-load region of off-load; Then determine the off-load desired value under this off-load type; Electric current, meritorious, priority are determined to factor of influence, as the factor of influence weight of Combinatorial Optimization; Described off-load region comprises the whole network and certain concrete region.
2.2) off-load load screening
According to off-load scope, determine after load, the operation of power networks situation screening load according to current, removes in-problem load, guarantees the correctness of off-load load; Described in-problem load comprises that switch disconnects, remote measurement is of poor quality, manually puts number, check errors.
2.3) load sequence
First according to each decision factor, the load filtering out is sorted; Described sequence comprise according to electric current from small to large, active power from small to large, the mode that sorts from small to large of off-load load priority.The object of sequence is to determine best off-load load value according to order, rather than excises at the very start a load that surpasses off-load desired value far away.
2.4) Combinatorial Optimization strategy
Clooating sequence according to definite before factor of influence weight and screening afterload, carries out Combinatorial Optimization, calculates off-load desired value.The process of described calculating off-load desired value is: first calculate the mark under every kind of sortord, then calculate total mark with factor of influence multiplied by weight, using this sequence as final strategy; Start anew to add up, until reach definite off-load desired value.
This method can realize and set up model to belonging to the same load of different off-load modes, provide carries out Combinatorial Optimization according to different decision factors after off-load desired value and provides off-load strategy.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of automatic modeling process of the present invention;
Fig. 2 is the process flow diagram of Combinatorial Optimization process of the present invention.
Embodiment
Below in conjunction with accompanying drawing and concrete enforcement, the present invention will be further described.Electrical network automated intelligent concentrates off-load method to comprise automatic modeling and Combinatorial Optimization two parts:
One, automatic modeling
It is as shown in the table need to carry out off-load modeling to mouth station cement special line 314 loads in 110kV river, this off-load load is the type of rationing the power supply of avoiding the peak hour shown in type and table 2 of rationing the power supply beyond the planned quota shown in table 1, table 1 belongs to the type list of rationing the power supply beyond the planned quota for cement special line, and table 2 belongs to the type list of rationing the power supply of avoiding the peak hour for cement special line.
Figure BDA0000397660430000031
Figure BDA0000397660430000041
Table 1
Figure BDA0000397660430000042
Table 2
1) set up concordance list: off-load tagmeme table consists of a rule off-load record, it is that suitable database table structure represents that these off-load records need suitable record cast.Record cast need to comprise off-load table name, off-load type, and the contents such as off-load load ID, because the off-load tagmeme table of each concrete electrical network is different also uncertain, can not pre-determine a kind of record cast and comprise that all tagmeme table names claim and type; Same off-load load can belong to different off-load types, therefore take transformer station when level is organized, may occur having a load to belong to the situation of a plurality of off-load types in Yi Ge transformer station, the ID that now cannot load by off-load carrys out unique record of determining; Owing to needing that in database edit tool model record is modified, can not only with off-load load ID and off-load type, determine a model record; Therefore introduce the index value of model record, solve above-mentioned variety of issue.
As Fig. 1, set up off-load model recording indexes table, the field of table is index class name, index value, wherein index class name represents the table name that index is used for, index value represents the state-of-the-art record index of current table, when a model of interpolation records, the index value of model record is taken as the index value of concordance list.After success is added, from current index value cumulative 1.Suppose that current index value is 1.
2) initial parameter range is determined: determine the parameter of model record needs and the span of this parameter, parameter mainly contains off-load region and tagmeme table name.
Off-load region: off-load load belongs to some off-loads region, by off-load region, off-load load is organized, can be so that intelligence concentrate off-load to have logic, level, the operating process that also in realistic operation, frequent off-load value of take certain region is target.
Tagmeme table name: concrete area power grid need to have different tagmeme table names according to different reality, the tagmeme table of rationing the power supply of for example avoiding the peak hour, the tagmeme table of rationing the power supply beyond the planned quota, the accident tagmeme table etc. of rationing the power supply.When modeling, need to pre-define tagmeme table name and claim and ID, certainly the interpolation of the follow-up off-load type of model supports.
For beyond the planned quota, ration the power supply, cement special line 314 belongs to this off-load region, urban district; Avoiding the peak hour rations the power supply does not have off-load region.The tagmeme table name of rationing the power supply, two kinds of modes of rationing the power supply are respectively beyond the planned quota rationing the power supply, and avoid the peak hour and ration the power supply.
3) automatic modeling process: fill in complete model record field, mainly comprise: plant stand, English name, describes, and drops into sign, locking sign, Monday priority, Tuesday priority, Wednesday priority, Thursday priority, Friday priority, Saturday priority, Sunday priority.Priority is less represents that priority is higher, for priority, does not distinguish Monday to Sunday, all gives tacit consent to and fills in to priority Monday.In beyond the planned quota rationing the power supply, cement special line 314 priority are 1, and in avoiding the peak hour and rationing the power supply, cement special line priority 314 Monday is 2.Filled in after the field of model record beyond the planned quota, system obtains from concordance list the index entry that current model records class off-load model by name automatically, and its index value is 1, successfully sets up after model record, and index value is updated to 2.When filling in to avoid the peak hour, ration the power supply model while recording, it is 2 that system obtains current off-load index from concordance list automatically.
Two, Combinatorial Optimization obtains off-load strategy:
1) off-load load range is determined and factor of influence weight is determined:
In actual off-load process, first determine type and off-load region (the whole network or certain concrete region) of off-load, then determine the off-load desired value under this off-load type.Electric current, meritorious, priority are determined to factor of influence, as the parameter of Combinatorial Optimization.
Take the type of rationing the power supply beyond the planned quota as example, and off-load type is beyond the planned quota rationing the power supply, and off-load region is urban district.Factor of influence has three kinds: current value, active power value, priority.For highlighting the impact property of priority, the parameter of Combinatorial Optimization is respectively: 0.2,0.3,0.5.Target off-load value is made as: 20MW.
2) off-load load screening: according to off-load scope, determine after load, need to be according to current operation of power networks situation screening load, remove exist switch to disconnect, remote measurement is of poor quality, manually put the load of the problems such as number, check errors, guarantees the correctness that off-load is loaded.
According to off-load type and off-load region, filter out available off-load load as shown in the load the selection result table of following table 3:
Table 3
According to the judgement of load validity, obtain above-mentioned Payload and enter into off-load policy calculation.
3) load sequence: first according to each decision factor, the load filtering out is sorted, for example respectively according to electric current from small to large, from small to large, off-load load priority sorts active power from small to large.The object of sequence is to determine best off-load load value according to order, rather than excises at the very start a load that surpasses off-load desired value far away.
As shown in table 4, by current value, sorting is from small to large:
Element title Size of current (A)
Mountain pass line F09 1.01
The dark pool of intelligence line F07 1.11
Pottery special line F09 1.15
Surface mine line F17 1.18
A huge legendary turtle line F05 2.12
Sheep seam F15 2.26
The public line 316 in river 3.16
Porcelain earth one line F17 3.18
Korneforos line 318 3.32
Cement special line 314 3.18
Table 4
As shown in table 5, by active power, sorting is from small to large:
Element title Watt level (MW)
Mountain pass line F09 1.0
The dark pool of intelligence line F07 1.0
Pottery special line F09 1.5
Surface mine line F17 1.8
A huge legendary turtle line F05 2.2
Sheep seam F15 2.6
The public line 316 in river 3.6
Porcelain earth one line F17 3.6
Korneforos line 318 4.2
Cement special line 314 7.1
Table 5
As shown in table 6, according to priority sequence is from small to large:
Element title Priority
Cement special line 314 1
The public line 316 in river 3
Korneforos line 318 4
Sheep seam F15 5
Surface mine line F17 6
A huge legendary turtle line F05 8
Mountain pass line F09 9
Porcelain earth one line F17 10
Pottery special line F09 13
The dark pool of intelligence line F07 14
Table 6
4) obtain Combinatorial Optimization strategy:
Clooating sequence according to definite before factor of influence and screening afterload, carries out Combinatorial Optimization.Concrete grammar is for first to calculate the mark under every kind of sortord, and then multiplying each other with the weighing factor factor calculates total mark, usings this sequence as final strategy.Start anew to add up, until reach definite off-load desired value.
As shown in table 7, after calculating weight parameter is carried out Combinatorial Optimization, sequence is:
Element title
Mountain pass line F09
Surface mine line F17
The public line 316 in river
Sheep seam F15
A huge legendary turtle line F05
Cement special line 314
The dark pool of intelligence line F07
Pottery special line F09
Korneforos line 318
Porcelain earth one line F17
Table 7
Wherein, to each, mark in order, formula is 100/ the number of sequencings * (the number of sequencings-work as front sequence), and current record sequence number is since 0.For example, for n bar record, sequence number is 0,1,2 ..., n-1.
The excision load value providing is 20MW, according to the clooating sequence after Combinatorial Optimization, gets current actual load value, starts anew to add up, until cumulative off-load value reaches desired value, the off-load strategy providing is as shown in table 8:
Element title Load value (MW)
Mountain pass line F09 1.0
Surface mine line F17 1.8
The public line 316 in river 3.6
Sheep seam F15 2.6
A huge legendary turtle line F05 2.2
Cement special line 314 7.1
The dark pool of intelligence line F07 1.0
Pottery special line F09 1.5
Table 8
Embodiments of the present invention are not limited to this; under the above-mentioned basic fundamental thought of the present invention prerequisite; modification, replacement or the change to other various ways that content of the present invention is made according to the ordinary skill knowledge of this area and customary means, within all dropping on rights protection scope of the present invention.

Claims (6)

1. electrical network automated intelligent is concentrated an off-load method, comprises automatic modeling and Combinatorial Optimization two parts, and it is being characterised in that:
Wherein, described automatic modeling comprises the steps:
1.1) set up concordance list: set up off-load model recording indexes table, the field of table is index class name, index value, wherein index class name represents the table name that index is used for, index value represents the state-of-the-art record index of current table, when a model of interpolation records, the index value of model record is taken as the index value of concordance list;
1.2) initial parameter range is determined
Determine the parameter of model record needs and the span of this parameter, parameter mainly contains off-load region and tagmeme table name; Wherein, described off-load region is used for representing that off-load load belongs to some off-loads region; Concrete area power grid need to be set up different tagmeme table names according to different reality;
1.3) automatic modeling process
According to the tagmeme table of area power grid, set up model record, mainly need the value of record to have:
Plant stand, English name, describes, and drops into sign, locking sign, Monday priority, Tuesday priority, Wednesday priority, Thursday priority, Friday priority, Saturday priority, Sunday priority; After filling in complete record value, in setting up the process of a model record, from off-load concordance list, inquire about the index of the model record of current foundation, automatically set up a record together with other field combination;
Described Combinatorial Optimization comprises the steps:
2.1) off-load load range is determined and factor of influence weight is determined
First determine type and the off-load region of off-load; Then determine the off-load desired value under this off-load type; Electric current, meritorious, priority are determined to factor of influence, as the factor of influence weight of Combinatorial Optimization;
2.2) off-load load screening
According to off-load scope, determine after load, the operation of power networks situation screening load according to current, removes in-problem load, guarantees the correctness of off-load load;
2.3) load sequence
First according to each decision factor, the load filtering out is sorted;
2.4) Combinatorial Optimization strategy
Clooating sequence according to definite before factor of influence weight and screening afterload, carries out Combinatorial Optimization, calculates off-load desired value.
2. electrical network automated intelligent according to claim 1 is concentrated off-load method, it is characterized in that: described tagmeme table comprises the tagmeme table of rationing the power supply of avoiding the peak hour the tagmeme table of rationing the power supply beyond the planned quota, the accident tagmeme table of rationing the power supply.
3. electrical network automated intelligent according to claim 1 is concentrated off-load method, it is characterized in that: described off-load region comprises the whole network and certain concrete region.
4. electrical network automated intelligent according to claim 1 is concentrated off-load method, it is characterized in that: described in-problem load comprises that switch disconnects, remote measurement is of poor quality, manually puts number, check errors.
5. electrical network automated intelligent according to claim 1 is concentrated off-load method, it is characterized in that: described sequence comprise according to electric current from small to large, active power from small to large, the mode that sorts from small to large of off-load load priority.
6. electrical network automated intelligent according to claim 1 is concentrated off-load method, it is characterized in that: the process of described calculating off-load desired value is: first calculate the mark under every kind of sortord, then calculate total mark with factor of influence multiplied by weight, using this sequence as final strategy; Start anew to add up, until reach definite off-load desired value.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110970898A (en) * 2019-12-06 2020-04-07 国网江苏省电力有限公司苏州供电分公司 Power grid low-voltage load shedding method and device considering dynamic voltage support strength
CN112926797A (en) * 2021-03-23 2021-06-08 山东建筑大学 Public building power demand response double optimization method based on response priority

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CN102097806A (en) * 2011-01-13 2011-06-15 中国电力科学研究院 Low frequency deloading method for stabilizing frequency of interconnected power grids
CN102623990A (en) * 2011-08-09 2012-08-01 国网电力科学研究院 Low-frequency deloading parameter online checking method of self-adaptation power grid operation mode
CN102810862A (en) * 2012-08-23 2012-12-05 山东电力集团公司电力科学研究院 Method for delamination and subregion of extra-high voltage receiving-end power grid

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Publication number Priority date Publication date Assignee Title
CN101924394A (en) * 2010-08-26 2010-12-22 国电南瑞科技股份有限公司 Substation load stabilizing system and realizing method thereof
CN102097806A (en) * 2011-01-13 2011-06-15 中国电力科学研究院 Low frequency deloading method for stabilizing frequency of interconnected power grids
CN102623990A (en) * 2011-08-09 2012-08-01 国网电力科学研究院 Low-frequency deloading parameter online checking method of self-adaptation power grid operation mode
CN102810862A (en) * 2012-08-23 2012-12-05 山东电力集团公司电力科学研究院 Method for delamination and subregion of extra-high voltage receiving-end power grid

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110970898A (en) * 2019-12-06 2020-04-07 国网江苏省电力有限公司苏州供电分公司 Power grid low-voltage load shedding method and device considering dynamic voltage support strength
CN110970898B (en) * 2019-12-06 2022-06-07 国网江苏省电力有限公司苏州供电分公司 Power grid low-voltage load shedding method and device considering dynamic voltage support strength
CN112926797A (en) * 2021-03-23 2021-06-08 山东建筑大学 Public building power demand response double optimization method based on response priority

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