CN104809543B - Power system operating mode generation method based on monthly power transmission and transforming equipment repair schedule - Google Patents

Power system operating mode generation method based on monthly power transmission and transforming equipment repair schedule Download PDF

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CN104809543B
CN104809543B CN201510045164.0A CN201510045164A CN104809543B CN 104809543 B CN104809543 B CN 104809543B CN 201510045164 A CN201510045164 A CN 201510045164A CN 104809543 B CN104809543 B CN 104809543B
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mrow
msub
load
monthly
day
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CN104809543A (en
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崔晓丹
洪天炘
李威
李碧君
王正风
方勇杰
李兆伟
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State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
State Grid Anhui Electric Power Co Ltd
Nari Technology Co Ltd
Nanjing NARI Group Corp
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State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
State Grid Anhui Electric Power Co Ltd
Nari Technology Co Ltd
Nanjing NARI Group Corp
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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
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80Management or planning
    • 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The invention discloses a kind of power system operating mode generation methods based on monthly power transmission and transforming equipment repair schedule, belong to Power System and its Automation technical field.The present invention obtains method of operation initial data at power grid regulation center, according to monthly power transmission and transforming equipment repair schedule, monthly power quantity predicting data are distributed according to history same period different periods rate of load condensate, generate two kinds of methods of operation of the monthly peak load mode for having power transmission and transforming equipment repair schedule each day and low ebb load method, system losses, spinning reserve requirement, the influence of planned outage unit are considered during both modes are generated, finally obtain power system operating mode data under the power transmission and transforming equipment repair schedule by " date, load method " pattern.Electric system production requirement and custom are met according to the repair schedule method of operation that the above method generates, can be that power networks risk assessment and adjusting again for repair schedule provide data basis under electric system power transmission and transforming equipment repair schedule.

Description

Power system operating mode generation method based on monthly power transmission and transforming equipment repair schedule
Technical field
The invention belongs to Power System and its Automation technical fields, and more precisely, the present invention relates to one kind to be based on the moon Spend the power system operating mode generation method of power transmission and transforming equipment repair schedule.
Background technology
Power transmission and transforming equipment is the skeleton of electric power networks, once equipment goes wrong, part and global system may be caused to set It is standby out of service, cause the generation of power failure accident.Therefore power transmission and transforming equipment safely and reliably runs and is particularly important.With Electric system to high voltage, large capacity, the development for interconnecting direction, the requirement to the security reliability index of electric system is also got over Come higher, the maintenance of electric power enterprise input significantly rises, existing troubleshooting system its exposed defect increasingly apparently.Therefore, More advanced, more scientific management and troubleshooting system are carried out to equipment, management and running objective reality is met to repair schedule formation The method of operation, and the safety and stability rolled is checked, and no matter to be obtained from the interests of electric power enterprise itself or from social Hair, it is all imperative.
When considering that repair schedule carries out safety and stability check, it is necessary first to the operation of power networks side of generation meter and repair schedule Formula.Planned manner includes the mode under one or more plan mixes such as repair schedule, generation schedule, load prediction.Maintenance meter Generator maintenance plan and transmission of electricity substation equipment maintenance and repair plan and controller switching equipment repair schedule etc. may be included again by drawing.In addition, when different Between scale planned manner data basic data condition it is different, requirement to the precision of the method for operation of generation also phase not to the utmost Together.
Method of operation generation technique includes the generation of different time scales repair schedule under current existing repair schedule, examines The plan type of worry may be the combination of one or more plans, and target is so that planned manner tends to be more in line with scheduling Operation is actual or so that the mode arranged is more economically reasonable.However it can not integrate but and efficiently use historical load number It is believed that breath and existing mode data message, the generation difficulty that this is allowed for for planned manner is big, and is difficult to reach and meets scheduling Run actual effect.In addition, in the generating process of the method for operation, existing technology for power transmission and transforming equipment repair schedule, The influences such as unit outage plan, system reserve constraint, the actual network loss of system only consider which part factor, and fail to integrate Coordinate to consider.
The content of the invention
The present invention seeks to:For deficiency of the prior art, provide a kind of based on monthly power transmission and transforming equipment repair schedule Power system operating mode generation method.This method is according to letters such as monthly power transmission and transforming equipment repair schedule, monthly power quantity predicting data Breath with reference to the actual conditions of previous year same period electricity and load, generates the monthly height for having power transmission and transforming equipment repair schedule each day Two kinds of methods of operation of peak load method and low ebb load method.Considered during both modes are generated system losses, Spinning reserve requirement, the influence of planned outage unit finally obtain the power transmission and transforming equipment maintenance by " date, load method " pattern The lower power system operating mode data of plan.Electric system production requirement is met according to the repair schedule method of operation that the above method generates And custom, can be that power networks risk assessment and adjusting again for repair schedule carry under electric system power transmission and transforming equipment repair schedule For data basis.
Specifically, realization that the present invention adopts the following technical solutions, comprise the following steps:
1) next monthly power transmission and transforming equipment repair schedule and unit outage plan, next month are obtained at power grid regulation center The prediction electricity data of degree, in previous year with next monthly identical monthly monthly load statistics and its each day actual negative The offline typical way data of lotus curve, this month power grid, all unit rated capacity data and system spinning reserve coefficient, wherein on In one year with next monthly identical monthly monthly each day realized load curve by one day 24 it is small when be divided into NpointA period, The network load performance number of a period is corresponded to per point data;
2) mode number based on the full mode of connection data that will regulate and control in the offline typical way data of center this month power grid According to;
3) next monthly prediction electricity is shared into each day of next month, and estimate next month each day peak load and Low ebb load;
4) judge whether next month each day has repair schedule successively, skipped if not, otherwise to there is repair schedule task Each day of next month, two kinds of methods of operation under each day peak load and low ebb load were generated respectively;
5) by final running mode data by being numbered, and dispatching management information system or other automated system phases are sent to Data directory is answered for its application.
Above-mentioned technical proposal is furthermore that the step 3) specifically includes following steps:
3-1) according in previous year with next monthly identical monthly monthly load statistics, based on formula (1), (2) Calculate the prediction electricity of next month each day:
Wherein, d is monthly number of days;WP is next monthly prediction electricity;WiFor the prediction electricity on next month 1;WP′ For in previous year with the previous year same month actual electricity in next monthly identical monthly monthly load statistics;Wi′ For in previous year with the actual electricity on the same day of the previous year same month in next monthly identical monthly monthly load statistics;
3-2) according in previous year with next monthly identical monthly monthly each day realized load curve, by formula (3) into Row distributes in proportion, obtains the prediction load power of each day day part next month:
Wherein, Pi,jLoad power is predicted for the power grid of jth period next month 1;P′i,jFor in previous year with it is next Same month prior year in monthly identical monthly monthly each day realized load curve is on the same day the same as the actual load power of period;
3-3) peak load P on next month 1 is calculated by formula (4), (5)i maxWith low ebb load Pi min
Pi max=kmax { Pi,j(i=1~d, j=1~Npoint) (4)
Wherein, k is constant coefficient.
Above-mentioned technical proposal is furthermore that, two kinds are generated under each day peak load and low ebb load in the step 4) The step of method of operation, is as follows:
4-1) the power transmission and transforming equipment repair schedule arranged according to this day deletes each plan inspection one by one in basal profile data The power transmission and transforming equipment repaiied, obtains intermediate data;
4-2) peak load of this day obtained based on intermediate data, this day unit outage plan, step 3) and low ebb are born Lotus considers system spinning reserve and network loss, adjusts unit output and load, makes system power in a basic balance, generating run mode Raw data;
Load flow calculation 4-3) is carried out to method of operation raw data, if trend restrains, acquisition pattern data, if trend Diverging is reported an error or calculated, then is adjusted according to prompt message, and recalculates trend, such iteration is until trend is restrained or changed Generation number is more than that preset value then terminates (according to engineering experience, generally 5~10 times desirable), will calculate convergent flow data conduct Final mode data.
Above-mentioned technical proposal is furthermore that, the step 4-2) specifically include following steps:
4-2-1) generator gross capability and load total amount in statistical basis mode data, if generator gross capability is Pgorg, Load total amount is Plorg
The unit of the daily planning stoppage in transit 4-2-2) is searched in intermediate data, and the gross capability for counting these units is Pgstop, these units are then deleted in intermediate data;
4-2-3) peak load of this day or low ebb load and P are calculated by formula (6)lorgDifference DELTA Pl, and it is each to adjust the whole network Node load makes the whole network load total amount be Pllim
ΔPl=Pllim-Plorg (6)
Wherein, the P when calculating peak load modellimFor the peak load of this day;The P when calculating low ebb load methodllim For the low ebb load of this day;
If Δ Pl> 0 then increases load at equal pace in each load bus of the whole network, if Δ Pl< 0, then in each load of the whole network Node load shedding at equal pace so that the whole network total load is Pllim
4-2-4) the unit of meter and planned outage, and consider network loss size, meter in the ratio of generation load in initial data Output need to be increased or subtract output total value Δ P by calculating system generatorg, as shown in formula (7):
A) if Δ Pg>=0, to step 4-2-2) in deleted all generators in the intermediate data of planned outage unit and increased It contributes so that the total amount for increasing output is Δ Pg
First, according to whether meet formula (8) judge consideration system leave it is certain it is spare in the case of increase the space of output Whether enough:
Wherein, N is the whole network generator sum in intermediate data;pkFor the initial in initial data of k-th generator It contributes;pcap,kFor the rated capacity of k-th of generator;λ is system spinning reserve coefficient, under peak load and low ebb load method Its value is different, is determined respectively according to industry or enterprise's relevant criterion or specification;
If formula (8) meets, increase each generator output in intermediate data, each generator need to increase output by (9) formula It calculates:
Wherein, Δ pkIt need to increase output for k-th of generator;
If formula (8) is unsatisfactory for, except increasing unit but the unit of planned outage one by one in intermediate data, increase machine is made Initial contribute of group is 0, until formula (8) meets;The whole network generator sum N also updates therewith when increasing unit one by one, often The numerical value for increasing a unit N adds 1;
The output for increasing unit is adjusted to its minimum load value in intermediate data;Increase again by formula (9) on this basis Add each generator output, and be modified in intermediate data;
B) if Δ Pg< 0 subtracts output to all generators of the whole network in intermediate data, and the total amount for subtracting output is Δ Pg;Each power generation Machine, which need to subtract, strength by formula (10) calculating:
At this point, Δ pkIt need to need to subtract for k-th of generator and strength, αkFor the minimum load proportionality coefficient of k-th of generator;
4-2-5) after above-mentioned adjustment, intermediate data is defined as raw data.
Above-mentioned technical proposal is furthermore that the constant coefficient k values are 1.0~1.1.
Above-mentioned technical proposal is furthermore that, the minimum load proportionality coefficient α of k-th of generatorkValue is 0.5 ~0.6.
Above-mentioned technical proposal is further characterized by, the NpointFor 96, in previous year with the next monthly identical moon Monthly each day realized load curve of degree by one day 24 it is small when be divided into 96 periods, each period is 15 minutes, per point data Network load performance number 15 minutes corresponding.
Beneficial effects of the present invention are as follows:The present invention proposes power system operating mode under monthly power transmission and transforming equipment repair schedule Generation method, the mode data under repair schedule can be provided for power system operation mode personnel and be repair schedule check The relevant automatics such as system system provides data basis;It is examined in the case where generating power transmission and transforming equipment repair schedule during the method for operation Consider the influence factors such as system losses, spinning reserve requirement, planned outage unit so that result data is more reasonable, practical, and Data basis is provided for power networks risk assessment and adjusting again for repair schedule under electric system power transmission and transforming equipment repair schedule.
Description of the drawings
Fig. 1 is the flow chart of the method for the present invention.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings.
Step 1 describes in Fig. 1, and next monthly power transmission and transforming equipment repair schedule and machine are obtained at power grid regulation center Group, which is stopped transport, plans, is counted in next monthly prediction electricity data, previous year with next monthly identical monthly monthly load The data and its offline typical way data of each day realized load curve, this month power grid, all unit rated capacity data and system It will be one day 24 small with next monthly identical monthly monthly each day realized load curve in spinning reserve coefficient, wherein previous year When be divided into NpointA period, the network load performance number that a period is corresponded to per point data.In practice, Npoint96 generally are taken, I.e. in previous year with next monthly identical monthly monthly each day realized load curve by one day 24 it is small when be divided into 96 when Section, each period are 15 minutes, and the network load performance number of 15 minutes is corresponded to per point data.
Step 2 describes in Fig. 1, will regulate and control the full mode of connection number in the offline typical way data of center this month power grid The mode data based on.
Step 3 describes in Fig. 1, and next monthly prediction electricity is shared each day of next month, and is estimated next The peak load and low ebb load of the moon each day.Its calculating process specifically comprises the following steps.
3-1) according in previous year with next monthly identical monthly monthly load statistics, based on formula (1), (2) Calculate the prediction electricity of each day:
Wherein, d is monthly number of days;WP is next monthly prediction electricity;WiFor the prediction electricity on next month 1;WP′ For in previous year with the previous year same month actual electricity in next monthly identical monthly monthly load statistics;Wi′ For in previous year with the actual electricity on the same day of the previous year same month in next monthly identical monthly monthly load statistics.
3-2) according in previous year with next monthly identical monthly monthly each day realized load curve, by formula (3) into Row distributes in proportion, obtains the prediction load power of each day day part next month:
Wherein, Pi,jLoad power is predicted for the power grid of jth period next month 1;P′i,jFor in previous year with it is next Same month prior year in monthly identical monthly monthly each day realized load curve is on the same day the same as the actual load power of period.
Particularly, for NpointWhen taking 96, formula (3) is:
3-3) peak load P on next month 1 is calculated by formula (4), (5)i maxWith low ebb load Pi min
Pi max=kmax { Pi,j(i=1~d, j=1~Npoint) (4)
Wherein, k is constant coefficient, is determined according to engineering experience, and general value is 1.0~1.1.
Step 4 describes in Fig. 1, judges whether next month each day has repair schedule successively, is skipped if not, otherwise right There is each day of next month of repair schedule task, generate two kinds of methods of operation under each day peak load and low ebb load respectively.Its Calculating process includes the following steps.
4-1) the power transmission and transforming equipment repair schedule arranged according to this day deletes each plan inspection one by one in basal profile data The power transmission and transforming equipment repaiied, obtains intermediate data;
4-2) peak load of this day obtained based on intermediate data, this day unit outage plan, step 3) and low ebb are born Lotus considers system spinning reserve and network loss, adjusts unit output and load, makes system power in a basic balance, generating run mode Raw data.Its calculating process includes the following steps.
4-2-1) generator gross capability and load total amount in statistical basis mode data, if generator gross capability is Pgorg, Load total amount is Plorg
The unit of the daily planning stoppage in transit 4-2-2) is searched in intermediate data, and the gross capability for counting these units is Pgstop, these units are then deleted in intermediate data;
4-2-3) peak load of this day or low ebb load and P are calculated by formula (6)lorgDifference DELTA Pl, and it is each to adjust the whole network Node load makes the whole network load total amount be Pllim
ΔPl=Pllim-Plorg (6)
Wherein, the P when calculating peak load modellimFor the peak load of this day;The P when calculating low ebb load methodllim For the low ebb load of this day.
If Δ Pl> 0 then increases load at equal pace in each load bus of the whole network, if Δ Pl< 0, then in each load of the whole network Node load shedding at equal pace so that the whole network total load is Pllim
4-2-4) the unit of meter and planned outage, and consider network loss size, meter in the ratio of generation load in initial data Output need to be increased or subtract output total value Δ P by calculating system generatorg, as shown in formula (7):
A) if Δ Pg>=0, to step 4-2-2) in deleted all generators in the intermediate data of planned outage unit and increased It contributes so that the total amount for increasing output is Δ Pg
First, it is determined that consideration system leave it is certain it is spare in the case of increase output space it is whether enough, that is, judge formula (8) whether meet:
Wherein, N is the whole network generator sum in intermediate data;pkFor the initial in initial data of k-th generator It contributes;pcap,kFor the rated capacity of k-th of generator;λ is system spinning reserve coefficient, under peak load and low ebb load method Its value is different, is determined respectively according to industry or enterprise's relevant criterion or specification.
If formula (8) meets, increase each generator output in intermediate data.Each generator need to increase output by (9) formula It calculates:
Wherein, Δ pkIt need to increase output for k-th of generator;
If formula (8) is unsatisfactory for, unit (except the unit of planned outage) is increased one by one in intermediate data, unit is increased in order Initial output pk=0, until formula (8) meets.It is to be appreciated that when increasing unit one by one the whole network generator sum N also with Update, often increase a unit N numerical value add 1.
The output for increasing unit is adjusted to its minimum load value in intermediate data.Increase again by formula (9) on this basis Add each generator output, and be modified in intermediate data.
B) if Δ Pg< 0 subtracts output to all generators of the whole network in intermediate data, and the total amount for subtracting output is Δ Pg.Each power generation Machine, which need to subtract, strength by formula (10) calculating:
At this point, Δ pkIt need to need to subtract for k-th of generator and strength, αkFor the minimum load proportionality coefficient of generator k, generally Value 0.5~0.6.
4-2-5) after above-mentioned adjustment, intermediate data is defined as raw data.
Load flow calculation 4-3) is carried out to raw data, Load flow calculation can be completed by existing ripe business software.It is if damp Stream convergence, then acquisition pattern data, if trend reports an error or calculate diverging, are adjusted according to prompt message, and count again Calculate trend, such iteration is until trend restrains or iterations is more than preset value (according to engineering experience, generally 5~10 times desirable) Then stop.Convergent flow data will be calculated as final mode data.
Step 5 describes in Fig. 1, and final running mode data is numbered, and be sent to dispatching management information system or Other automated system corresponding data catalogues are applied for it." date and load method " progress can be used in number.
Although the present invention has been described by way of example and in terms of the preferred embodiments, embodiment is not for limiting the present invention's.Not In the spirit and scope for departing from the present invention, any equivalence changes done or retouching also belong to the protection domain of the present invention.Cause This protection scope of the present invention should be using the content that claims hereof is defined as standard.

Claims (4)

1. the power system operating mode generation method based on monthly power transmission and transforming equipment repair schedule, which is characterized in that including walking as follows Suddenly:
1) next monthly power transmission and transforming equipment repair schedule and unit outage plan, next monthly are obtained at power grid regulation center It predicts bent with next monthly identical monthly monthly load statistics and its each day actual load in electricity data, previous year The offline typical way data of line, this month power grid, all unit rated capacity data and system spinning reserve coefficient, wherein upper one year In degree with next monthly identical monthly monthly each day realized load curve by one day 24 it is small when be divided into NpointA period, every point Data correspond to the network load performance number of a period;
2) mode data based on the full mode of connection data that will regulate and control in the offline typical way data of center this month power grid;
3) next monthly prediction electricity is shared into each day of next month, and estimates the peak load and low ebb of next month each day Load comprises the following steps:
3-1) according in previous year with next monthly identical monthly monthly load statistics, by formula (1), (2) calculate under The prediction electricity of a month each day:
<mrow> <msub> <mi>W</mi> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <msubsup> <mi>W</mi> <mi>i</mi> <mo>&amp;prime;</mo> </msubsup> <mrow> <msup> <mi>WP</mi> <mo>&amp;prime;</mo> </msup> </mrow> </mfrac> <mo>&amp;times;</mo> <mi>W</mi> <mi>P</mi> <mo>,</mo> <mrow> <mo>(</mo> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>~</mo> <mi>d</mi> <mo>)</mo> </mrow> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow>
<mrow> <msup> <mi>WP</mi> <mo>&amp;prime;</mo> </msup> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>d</mi> </munderover> <msubsup> <mi>W</mi> <mi>i</mi> <mo>&amp;prime;</mo> </msubsup> <mo>,</mo> <mrow> <mo>(</mo> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>~</mo> <mi>d</mi> <mo>)</mo> </mrow> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> </mrow>
Wherein, d is monthly number of days;WP is next monthly prediction electricity;WiFor the prediction electricity on next month 1;WP ' is upper In one year with the previous year same month actual electricity in next monthly identical monthly monthly load statistics;Wi' it is upper In one year with the actual electricity on the same day of the previous year same month in next monthly identical monthly monthly load statistics;
3-2) according to, with next monthly identical monthly monthly each day realized load curve, being carried out in previous year by formula (3) same Pro rate obtains the prediction load power of each day day part next month:
<mrow> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <msub> <mi>N</mi> <mrow> <mi>p</mi> <mi>o</mi> <mi>int</mi> </mrow> </msub> </munderover> <mrow> <mo>(</mo> <mfrac> <msub> <mi>W</mi> <mi>i</mi> </msub> <msubsup> <mi>W</mi> <mi>i</mi> <mo>&amp;prime;</mo> </msubsup> </mfrac> <mo>&amp;CenterDot;</mo> <msubsup> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> <mo>&amp;prime;</mo> </msubsup> <mo>)</mo> </mrow> <mo>,</mo> <mrow> <mo>(</mo> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>~</mo> <mi>d</mi> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>~</mo> <msub> <mi>N</mi> <mrow> <mi>p</mi> <mi>o</mi> <mi>int</mi> </mrow> </msub> <mo>)</mo> </mrow> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow>
Wherein, Pi,jLoad power is predicted for the power grid of jth period next month 1;Pi,jFor in previous year with it is next monthly Same month prior year in identical monthly monthly each day realized load curve is on the same day the same as the actual load power of period;
3-3) peak load P on next month 1 is calculated by formula (4), (5)i maxWith low ebb load Pi min
Pi max=Kmax { Pi,j(i=1~d, j=1~Npoint) (4)
<mrow> <msubsup> <mi>P</mi> <mi>i</mi> <mi>min</mi> </msubsup> <mo>=</mo> <mfrac> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> <mo>{</mo> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>j</mi> </mrow> </msub> <mo>}</mo> </mrow> <mi>K</mi> </mfrac> <mo>,</mo> <mrow> <mo>(</mo> <mi>i</mi> <mo>=</mo> <mn>1</mn> <mo>~</mo> <mi>d</mi> <mo>,</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>~</mo> <msub> <mi>N</mi> <mrow> <mi>p</mi> <mi>o</mi> <mi>int</mi> </mrow> </msub> <mo>)</mo> </mrow> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>5</mn> <mo>)</mo> </mrow> </mrow>
Wherein, K is constant coefficient;
4) judge whether next month each day has repair schedule successively, skipped if not, otherwise to there is the next of repair schedule task Each day of the moon, two kinds of methods of operation under each day peak load and low ebb load are generated respectively;
Described the step of generating two kinds of methods of operation under each day peak load and low ebb load, is as follows:
4-1) the power transmission and transforming equipment repair schedule arranged according to this day, deletes each scheduled overhaul one by one in basal profile data Power transmission and transforming equipment obtains intermediate data;
Intermediate data, the peak load of this day that this day unit outage plan, step 3) obtain and low ebb load 4-2) are based on, is examined Worry system spinning reserve and network loss adjust unit output and load, make system power in a basic balance, generating run mode slightly counts According to comprising the following steps:
4-2-1) generator gross capability and load total amount in statistical basis mode data, if generator gross capability is Pgorg, load is total It measures as Plorg
The unit of the daily planning stoppage in transit 4-2-2) is searched in intermediate data, and the gross capability for counting these units is Pgstop, so These units are deleted in intermediate data afterwards;
4-2-3) peak load of this day or low ebb load and P are calculated by formula (6)lorgDifference DELTA Pl, and adjust each node of the whole network Load makes the whole network load total amount be Pllim
ΔPl=Pllim-Plorg (6)
Wherein, the P when calculating peak load modellimFor the peak load of this day;The P when calculating low ebb load methodllimFor this The low ebb load of day;
If Δ Pl> 0 then increases load at equal pace in each load bus of the whole network, if Δ Pl< 0, then in each load bus of the whole network Load shedding at equal pace so that the whole network total load is Pllim
4-2-4) the unit of meter and planned outage, and consider network loss size in the ratio of generation load in initial data, calculate system System generator need to increase output or subtract output total value Δ Pg, as shown in formula (7):
<mrow> <msub> <mi>&amp;Delta;P</mi> <mi>g</mi> </msub> <mo>=</mo> <mfrac> <mrow> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>o</mi> <mi>r</mi> <mi>g</mi> </mrow> </msub> <mo>&amp;CenterDot;</mo> <msub> <mi>P</mi> <mrow> <mi>l</mi> <mi>lim</mi> </mrow> </msub> </mrow> <msub> <mi>P</mi> <mrow> <mi>l</mi> <mi>o</mi> <mi>r</mi> <mi>g</mi> </mrow> </msub> </mfrac> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>o</mi> <mi>r</mi> <mi>g</mi> </mrow> </msub> <mo>+</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>s</mi> <mi>t</mi> <mi>o</mi> <mi>p</mi> </mrow> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>7</mn> <mo>)</mo> </mrow> </mrow>
A) if Δ Pg>=0, to step 4-2-2) in deleted all generators in the intermediate data of planned outage unit and increased and contributed, So that it is Δ P to increase the total amount contributedg
First, according to whether meet formula (8) judge consideration system leave it is certain it is spare in the case of increase output space whether Enough:
<mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <mrow> <mo>(</mo> <msub> <mi>p</mi> <mrow> <mi>c</mi> <mi>a</mi> <mi>p</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>p</mi> <mi>k</mi> </msub> <mo>)</mo> </mrow> <mo>-</mo> <msub> <mi>&amp;Delta;P</mi> <mi>g</mi> </msub> <mo>&amp;GreaterEqual;</mo> <mi>&amp;lambda;</mi> <mo>&amp;CenterDot;</mo> <msub> <mi>P</mi> <mrow> <mi>l</mi> <mi>lim</mi> </mrow> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>8</mn> <mo>)</mo> </mrow> </mrow>
Wherein, N is the whole network generator sum in intermediate data;pkFor the initial output in initial data of k-th of generator; pcap,kFor the rated capacity of k-th of generator;λ is system spinning reserve coefficient, its value under peak load and low ebb load method Difference determines respectively according to industry or enterprise's relevant criterion or specification;
If formula (8) meets, increase each generator output in intermediate data, each generator need to increase output and be calculated by (9) formula:
<mrow> <msub> <mi>&amp;Delta;p</mi> <mi>k</mi> </msub> <mo>=</mo> <mfrac> <mrow> <mo>(</mo> <msub> <mi>p</mi> <mrow> <mi>c</mi> <mi>a</mi> <mi>p</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>p</mi> <mi>k</mi> </msub> <mo>)</mo> </mrow> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <mrow> <mo>(</mo> <msub> <mi>p</mi> <mrow> <mi>c</mi> <mi>a</mi> <mi>p</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>p</mi> <mi>k</mi> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>&amp;CenterDot;</mo> <msub> <mi>&amp;Delta;P</mi> <mi>g</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>9</mn> <mo>)</mo> </mrow> </mrow>
Wherein, Δ pkIt need to increase output for k-th of generator;
If formula (8) is unsatisfactory for, except increasing unit but the unit of planned outage one by one in intermediate data, unit is increased in order Initial contribute is 0, until formula (8) meets;The whole network generator sum N also updates therewith when increasing unit one by one, often increases The numerical value of one unit N adds 1;
The output for increasing unit is adjusted to its minimum load value in intermediate data;Increase again by formula (9) on this basis each Generator output, and be modified in intermediate data;
B) if Δ Pg< 0 subtracts output to all generators of the whole network in intermediate data, and the total amount for subtracting output is Δ Pg;Each generator needs Subtract and strength by formula (10) calculating:
<mrow> <msub> <mi>&amp;Delta;p</mi> <mi>k</mi> </msub> <mo>=</mo> <mfrac> <mrow> <mo>(</mo> <msub> <mi>p</mi> <mi>k</mi> </msub> <mo>-</mo> <msub> <mi>&amp;alpha;</mi> <mi>k</mi> </msub> <mo>&amp;CenterDot;</mo> <msub> <mi>p</mi> <mrow> <mi>c</mi> <mi>a</mi> <mi>p</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <mo>)</mo> </mrow> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <mrow> <mo>(</mo> <msub> <mi>p</mi> <mi>k</mi> </msub> <mo>-</mo> <msub> <mi>&amp;alpha;</mi> <mi>k</mi> </msub> <mo>&amp;CenterDot;</mo> <msub> <mi>p</mi> <mrow> <mi>c</mi> <mi>a</mi> <mi>p</mi> <mo>,</mo> <mi>k</mi> </mrow> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>&amp;CenterDot;</mo> <msub> <mi>&amp;Delta;P</mi> <mi>g</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>10</mn> <mo>)</mo> </mrow> </mrow>
At this point, Δ pkIt need to need to subtract for k-th of generator and strength, αkFor the minimum load proportionality coefficient of k-th of generator;
4-2-5) after above-mentioned adjustment, intermediate data is defined as raw data;
Load flow calculation 4-3) is carried out to method of operation raw data, if trend restrains, acquisition pattern data, if trend reports an error Or calculate diverging, then it is adjusted according to prompt message, and trend is recalculated, such iteration is until trend restrains or iteration time Number is then terminated more than preset value, will calculate convergent flow data as final mode data;
5) by final running mode data by being numbered, and dispatching management information system or other automated system respective counts are sent to It is applied according to catalogue for it.
2. the power system operating mode generation method according to claim 1 based on monthly power transmission and transforming equipment repair schedule, It is characterized in that, the constant coefficient K values are 1.0~1.1.
3. the power system operating mode generation method according to claim 1 based on monthly power transmission and transforming equipment repair schedule, It is characterized in that, the minimum load proportionality coefficient α of k-th of generatorkValue is 0.5~0.6.
4. it is generated according to the arbitrary power system operating mode based on monthly power transmission and transforming equipment repair schedule of claims 1 to 3 Method, which is characterized in that the NpointIt is bent with next monthly identical monthly monthly each day actual load in previous year for 96 Line by one day 24 it is small when be divided into 96 periods, each period is 15 minutes, and the network load work(of 15 minutes is corresponded to per point data Rate value.
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