CN104809543A - Power grid operation mode generating method based on monthly power transmission and distribution equipment maintenance plan - Google Patents

Abstract

The invention discloses a power grid operation mode generating method based on a monthly power transmission and distribution equipment maintenance plan, and belongs to the technical field of an electric power system and automation thereof. The power grid operation mode generating method is characterized by comprising the steps that original data of the operating mode is acquired from a power grid regulation and control center, a peak load operating mode and a valley load operating mode of each day having the power transmission and distribution equipment maintenance plan are monthly generated according to the monthly power transmission and distribution equipment maintenance plan and load rate distribution monthly electric quantity prediction data of different time periods of the corresponding historical period, influences of system network losses, spinning reserve requirements and planned outage units are considered in the process of generating the two modes, and power grid operating mode data under the power transmission and distribution equipment maintenance plan according to a date-load mode is finally acquired. The maintenance plan operating mode generated according to the method disclosed by the invention conforms to production requirements and habits of the electric power system, thereby being capable of providing a data basis for power grid operating risk evaluation and maintenance plan readjustment under the power transmission and distribution equipment maintenance equipment plan of the electric power system.

Description

Based on the power system operating mode generation method of monthly power transmission and transforming equipment turnaround plan

Technical field

The invention belongs to Power System and its Automation technical field, more precisely, the present invention relates to a kind of power system operating mode generation method based on monthly power transmission and transforming equipment turnaround plan.

Background technology

Power transmission and transforming equipment is the skeleton of electric power networks, once equipment goes wrong, may cause local and global system equipment out of service, cause the generation of power failure accident.Therefore power transmission and transforming equipment runs safely and reliably and seems particularly important.Along with electric system is to the development in high voltage, Large Copacity, interconnected direction, also more and more higher to the requirement of the safe reliability index of electric system, the maintenance amplitude that has high input of electric power enterprise rises, and existing troubleshooting system exposes its defect day by day significantly.Therefore, more advanced, more scientific management and troubleshooting system are carried out to equipment, turnaround plan is formed to the method for operation meeting management and running objective reality, and the safety and stability of carrying out rolling is checked, interests no matter from electric power enterprise self or the requirement from society, all imperative.

When considering that turnaround plan carries out safety and stability check, first need to generate the power system operating mode taking into account turnaround plan.Planned manner comprises the mode under one or more plan mixes such as turnaround plan, generation schedule, load prediction.Turnaround plan may comprise again generator maintenance plan and transmission of electricity substation equipment maintenance and repair plan and controller switching equipment turnaround plan etc.In addition, the basic data condition of the planned manner data of Different time scales is different, and it is also not quite similar to the requirement of the precision of the method for operation generated.

Under current existing turnaround plan, method of operation generation technique includes the generation of Different time scales turnaround plan, the plan type considered may be the combination of one or more plans, its target is all make planned manner be tending towards more meeting management and running reality, or makes the mode of arrangement reasonable more economically.But but do not have comprehensively effectively to utilize historical load data message and existing mode data message, this just makes the generation difficulty for planned manner large, and is difficult to reach the effect meeting management and running reality.In addition, in the generative process of the method for operation, existing technology, for impacts such as power transmission and transforming equipment turnaround plan, unit outage plan, system reserve constraint, the actual network loss of system, all only considers wherein some factors, and fails to synthesize and coordinate consideration.

Summary of the invention

The present invention seeks to: for deficiency of the prior art, provide a kind of power system operating mode generation method based on monthly power transmission and transforming equipment turnaround plan.The method is according to information such as monthly power transmission and transforming equipment turnaround plan, monthly power quantity predicting data, the actual conditions of the reference previous year electricity same period and load, generate monthly peak load mode and low ebb load method two kinds of methods of operation of having power transmission and transforming equipment turnaround plan each day.In the process generating these two kinds of modes, consider system losses, spinning reserve requires, the impact of planned outage unit, finally obtain power system operating mode data under the power transmission and transforming equipment turnaround plan by " date, load method " pattern.Meet electric system Production requirement and custom according to the turnaround plan method of operation that said method generates, data basis can be provided for the adjustment again of operation of power networks risk assessment and turnaround plan under electric system power transmission and transforming equipment turnaround plan.

Specifically, the present invention realizes by the following technical solutions, comprises the following steps:

1) obtain at power grid regulation center in next monthly power transmission and transforming equipment turnaround plan and unit outage plan, next monthly prediction electric quantity data, previous year with next monthly identical monthly monthly load statistics and each day realized load curve, this month electrical network off-line typical way data, all unit rated capacity data and system spinning reserve coefficient, be wherein divided into N with next monthly identical monthly monthly each day realized load curve by one day 24 hours in previous year _pointthe network load performance number of individual period, every point data corresponding period;

2) by mode data based on the full mode of connection data in this month electrical network off-line typical way data of regulation and control center;

3) next monthly prediction electricity is shared each day of next month, and estimate peak load and the low ebb load of next month each day;

4) judge whether next month each day has turnaround plan successively, as then do not skipped, otherwise to there being each day of next month of turnaround plan task, generate respectively each day peak load and low ebb load under two kinds of methods of operation;

5) by final running mode data by being numbered, and be sent to dispatching management information system or other automated system corresponding data catalogues for its application.

Being further of technique scheme, described step 3) specifically comprise the following steps:

3-1) according in previous year with next monthly identical monthly monthly load statistics, calculate the prediction electricity of next month each day by formula (1), (2):

$W_i=\frac{W_i^{\′}}{{\mathrm{WP}}^{\′}}\×\mathrm{WP}(i=1~d)---\left(1\right)$

${\mathrm{WP}}^{\′}=\underset{i=1}{\overset{d}{\mathrm{\Σ}}}{W}_i^{\′}(i=1~d)---\left(2\right)$

Wherein, d is monthly number of days; WP is next monthly prediction electricity; W _ifor the prediction electricity on next month 1; WP ' in previous year with the previous year same month actual electricity in next monthly identical monthly monthly load statistics; W ' _ifor in previous year with the previous year same month actual electricity on the same day 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, distribute in proportion by formula (3), obtain the prediction load power of next month each day day part:

$P_{i,j}=\underset{j=1}{\overset{N_{\mathrm{point}}}{\mathrm{\Σ}}}(\frac{W_i}{W_i^{\′}}\·P_{i,j}^{\′})(i=1~d,j=1~N_{\mathrm{point}})---\left(3\right)$

Wherein, P _i,jfor the electrical network prediction load power of jth period next month 1; P ' _i,jfor in previous year with same month prior year in next monthly identical monthly monthly each day realized load curve on the same day with the actual load power of period;

3-3) calculate peak load on next month 1 by formula (4), (5) with low ebb load

$P_i^{\max }=k\·\max \left\{P_{i,j}\right\}(i=1~d,j=1~N_{\mathrm{point}})---\left(4\right)$

$P_i^{\min }=\frac{\min \left\{P_{i,j}\right\}}{k}(i=1~d,j=1~N_{\mathrm{point}})---\left(5\right)$

Wherein, k is constant coefficient.

Being further of technique scheme, described step 4) in generate each day peak load and low ebb load under the step of two kinds of methods of operation as follows:

4-1) according to the power transmission and transforming equipment turnaround plan that this day arranges, basal profile data are deleted the power transmission and transforming equipment of each scheduled overhaul one by one, obtains intermediate data;

4-2) based on intermediate data, unit outage plan in this day, step 3) peak load of this day that obtains and low ebb load, consideration system spinning reserve and network loss, adjustment unit output and load, make system power in a basic balance, generating run mode raw data;

4-3) Load flow calculation is carried out to method of operation raw data, if trend restrains, then acquisition pattern data, disperse if trend reports an error or calculates, then adjust according to information, and recalculate trend, iteration like this is until trend convergence or iterations exceed preset value (according to engineering experience, generally desirable 5 ~ 10 times) then stop, will the flow data of convergence be calculated as final mode data.

Being further of technique scheme, described step 4-2) specifically comprise the following steps:

4-2-1) generator gross capability and load total amount in statistical basis mode data, if generator gross capability is P _gorg, load total amount is P _lorg;

In intermediate data, 4-2-2) search the unit that this daily planning is stopped transport, and the gross capability adding up these units is P _gstop, then in intermediate data, delete these units;

4-2-3) calculate the peak load of this day or low ebb load and P by formula (6) _lorgdifference DELTA P _l, and adjust each node load of the whole network and make the whole network load total amount be P _llim:

ΔP _l＝P _llim-P _lorg(6)

Wherein, the P when calculating peak load mode _llimfor the peak load of this day; The P when calculating low ebb load method _llimfor the low ebb load of this day;

If Δ P _l> 0, then increase load at equal pace at each load bus of the whole network, if Δ P _l< 0, then in each load bus of the whole network load shedding at equal pace, make the whole network total load be P _llim;

4-2-4) take into account the unit of planned outage, and consider network loss size in the ratio of generation load in raw data, computing system generator need increase exerts oneself or subtracts the total value Δ P that exerts oneself _g, shown in (7):

${\mathrm{\&Delta;P}}_g=\frac{P_{\mathrm{gorg}}\&CenterDot;P_{\mathrm{llim}}}{P_{\mathrm{lorg}}}-P_{\mathrm{gorg}}+P_{\mathrm{gstop}}---\left(7\right)$

A) if Δ P _g>=0, to step 4-2-2) in deleted all generators in the intermediate data of planned outage unit and increase and exert oneself, making to increase the total amount of exerting oneself is Δ P _g:

First, whether according to whether meeting formula (8), to judge to increase the space of exerting oneself when consideration system leaves necessarily for subsequent use enough:

$\underset{k=1}{\overset{N}{\mathrm{\&Sigma;}}}(p_{\mathrm{cap},k}-p_k)-{\mathrm{\&Delta;P}}_g\&GreaterEqual;\mathrm{\&lambda;}\&CenterDot;P_{\mathrm{llim}}---\left(8\right)$

Wherein, N is the whole network generator sum in intermediate data; p _kfor initially the exerting oneself in raw data of a kth generator; p _{cap, k}for the rated capacity of a kth generator; λ is system spinning reserve coefficient, and peak load is different with its value under low ebb load method, determines respectively according to industry or enterprise's relevant criterion or specification;

If formula (8) meets, then in intermediate data, increase each generator output, each generator need increase to exert oneself and to calculate by (9) formula:

${\mathrm{\&Delta;p}}_k=\frac{(p_{\mathrm{cap},k}-p_k)}{\underset{k=1}{\overset{N}{\mathrm{\&Sigma;}}}(p_{\mathrm{cap},k}-p_k)}\&CenterDot;{\mathrm{\&Delta;P}}_g---\left(9\right)$

Wherein, Δ p _kexert oneself for a kth generator need increase;

If formula (8) does not meet, then in intermediate data, establish unit newly one by one but except the unit of planned outage, make initially exerting oneself of unit of increase be 0, until formula (8) meets; During increase unit, the whole network generator sum N also upgrades thereupon one by one, and the numerical value often establishing a unit N newly adds 1;

In intermediate data, exerting oneself of unit of increase is adjusted to its minimum load value; Increase each generator output by formula (9) more on this basis, and be modified in intermediate data;

B) if Δ P _g< 0, subtracts all generators of the whole network in intermediate data and exerts oneself, and subtracting the total amount of exerting oneself is Δ P _g; Each generator need subtract strength and calculate by formula (10):

${\mathrm{\&Delta;p}}_k=\frac{(p_k-{\mathrm{\&alpha;}}_k\&CenterDot;p_{\mathrm{cap},k})}{\underset{k=1}{\overset{N}{\mathrm{\&Sigma;}}}(p_k-{\mathrm{\&alpha;}}_k\&CenterDot;p_{\mathrm{cap},k})}\&CenterDot;{\mathrm{\&Delta;P}}_g---\left(10\right)$

Now, Δ p _kstrength, α for a kth generator need subtract _kfor the minimum load scale-up factor of a kth generator;

4-2-5) after above-mentioned adjustment, intermediate data is defined as raw data.

Being further of technique scheme, described constant coefficient k value is 1.0 ~ 1.1.

Being further of technique scheme, the minimum load scale-up factor α of a described kth generator _kvalue is 0.5 ~ 0.6.

Technique scheme is further characterized in that, described N _pointbe 96, be divided into 96 periods with next monthly identical monthly monthly each day realized load curve by one day 24 hours in previous year, each period is 15 minutes, every point data network load performance number of corresponding 15 minutes.

Beneficial effect of the present invention is as follows: the present invention proposes power system operating mode generation method under monthly power transmission and transforming equipment turnaround plan, can be power system operation mode personnel turnaround plan is provided under mode data, and be the relevant automatic systems with data such as turnaround plan nucleus correcting system basis; In the process generating the method for operation under power transmission and transforming equipment turnaround plan, consider system losses, the influence factor such as spinning reserve requires, planned outage unit, make result data more reasonable, practical, and for the adjustment again of operation of power networks risk assessment and turnaround plan under electric system power transmission and transforming equipment turnaround plan provide data basis.

Accompanying drawing explanation

Fig. 1 is the process flow diagram of the inventive method.

Embodiment

With reference to the accompanying drawings the present invention is described in further detail.

What in Fig. 1, step 1 described is, obtain at power grid regulation center in next monthly power transmission and transforming equipment turnaround plan and unit outage plan, next monthly prediction electric quantity data, previous year with next monthly identical monthly monthly load statistics and each day realized load curve, this month electrical network off-line typical way data, all unit rated capacity data and system spinning reserve coefficient, be wherein divided into N with next monthly identical monthly monthly each day realized load curve by one day 24 hours in previous year _pointthe network load performance number of individual period, every point data corresponding period.In reality, N _pointgenerally get 96, be namely divided into 96 periods with next monthly identical monthly monthly each day realized load curve by one day 24 hours in previous year, each period is 15 minutes, every point data network load performance number of corresponding 15 minutes.

In Fig. 1, step 2 describes, by mode data based on the full mode of connection data in this month electrical network off-line typical way data of regulation and control center.

In Fig. 1, step 3 describes, and next monthly prediction electricity is shared each day of next month, and estimates peak load and the low ebb load of next month each day.Its computation process specifically comprises the steps.

3-1) according in previous year with next monthly identical monthly monthly load statistics, calculate the prediction electricity of each day by formula (1), (2):

$W_i=\frac{W_i^{\&prime;}}{{\mathrm{WP}}^{\&prime;}}\&times;\mathrm{WP}(i=1~d)---\left(1\right)$

${\mathrm{WP}}^{\&prime;}=\underset{i=1}{\overset{d}{\mathrm{\&Sigma;}}}{W}_i^{\&prime;}(i=1~d)---\left(2\right)$

Wherein, d is monthly number of days; WP is next monthly prediction electricity; W _ifor the prediction electricity on next month 1; WP ' in previous year with the previous year same month actual electricity in next monthly identical monthly monthly load statistics; W ' _ifor in previous year with the previous year same month actual electricity on the same day 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, distribute in proportion by formula (3), obtain the prediction load power of next month each day day part:

$P_{i,j}=\underset{j=1}{\overset{N_{\mathrm{point}}}{\mathrm{\&Sigma;}}}(\frac{W_i}{W_i^{\&prime;}}\&CenterDot;P_{i,j}^{\&prime;})(i=1~d,j=1~N_{\mathrm{point}})---\left(3\right)$

Wherein, P _i,jfor the electrical network prediction load power of jth period next month 1; P ' _i,jfor in previous year with same month prior year in next monthly identical monthly monthly each day realized load curve on the same day with the actual load power of period.

Especially, for N _pointwhen getting 96, formula (3) is:

$P_{i,j}=\underset{j=1}{\overset{96}{\mathrm{\&Sigma;}}}(\frac{W_i}{W_i^{\&prime;}}\&CenterDot;P_{i,j}^{\&prime;})(i=1~d,j=1~96)$

3-3) calculate peak load on next month 1 by formula (4), (5) with low ebb load

$P_i^{\max }=k\&CenterDot;\max \left\{P_{i,j}\right\}(i=1~d,j=1~N_{\mathrm{point}})---\left(4\right)$

$P_i^{\min }=\frac{\min \left\{P_{i,j}\right\}}{k}(i=1~d,j=1~N_{\mathrm{point}})---\left(5\right)$

Wherein, k is constant coefficient, determines according to engineering experience, and general value is 1.0 ~ 1.1.

In Fig. 1, step 4 describes, and judges whether next month each day has turnaround plan successively, as then do not skipped, otherwise to there being each day of next month of turnaround plan task, generate respectively each day peak load and low ebb load under two kinds of methods of operation.Its computation process comprises the steps.

4-1) according to the power transmission and transforming equipment turnaround plan that this day arranges, basal profile data are deleted the power transmission and transforming equipment of each scheduled overhaul one by one, obtains intermediate data;

4-2) based on intermediate data, unit outage plan in this day, step 3) peak load of this day that obtains and low ebb load, consideration system spinning reserve and network loss, adjustment unit output and load, make system power in a basic balance, generating run mode raw data.Its computation process comprises the steps.

4-2-1) generator gross capability and load total amount in statistical basis mode data, if generator gross capability is P _gorg, load total amount is P _lorg;

In intermediate data, 4-2-2) search the unit that this daily planning is stopped transport, and the gross capability adding up these units is P _gstop, then in intermediate data, delete these units;

4-2-3) calculate the peak load of this day or low ebb load and P by formula (6) _lorgdifference DELTA P _l, and adjust each node load of the whole network and make the whole network load total amount be P _llim:

ΔP _l＝P _llim-P _lorg(6)

Wherein, the P when calculating peak load mode _llimfor the peak load of this day; The P when calculating low ebb load method _llimfor the low ebb load of this day.

If Δ P _l> 0, then increase load at equal pace at each load bus of the whole network, if Δ P _l< 0, then in each load bus of the whole network load shedding at equal pace, make the whole network total load be P _llim.

4-2-4) take into account the unit of planned outage, and consider network loss size in the ratio of generation load in raw data, computing system generator need increase exerts oneself or subtracts the total value Δ P that exerts oneself _g, shown in (7):

${\mathrm{\&Delta;P}}_g=\frac{P_{\mathrm{gorg}}\&CenterDot;P_{\mathrm{llim}}}{P_{\mathrm{lorg}}}-P_{\mathrm{gorg}}+P_{\mathrm{gstop}}---\left(7\right)$

A) if Δ P _g>=0, to step 4-2-2) in deleted all generators in the intermediate data of planned outage unit and increase and exert oneself, making to increase the total amount of exerting oneself is Δ P _g:

First, whether enough judge to increase the space of exerting oneself when consideration system leaves necessarily for subsequent use, namely judge whether formula (8) meets:

$\underset{k=1}{\overset{N}{\mathrm{\&Sigma;}}}(p_{\mathrm{cap},k}-p_k)-{\mathrm{\&Delta;P}}_g\&GreaterEqual;\mathrm{\&lambda;}\&CenterDot;P_{\mathrm{llim}}---\left(8\right)$

Wherein, N is the whole network generator sum in intermediate data; p _kfor initially the exerting oneself in raw data of a kth generator; p _{cap, k}for the rated capacity of a kth generator; λ is system spinning reserve coefficient, and peak load is different with its value under low ebb load method, determines respectively according to industry or enterprise's relevant criterion or specification.

If formula (8) meets, then in intermediate data, increase each generator output.Each generator need increase to exert oneself and to calculate by (9) formula:

${\mathrm{\&Delta;p}}_k=\frac{(p_{\mathrm{cap},k}-p_k)}{\underset{k=1}{\overset{N}{\mathrm{\&Sigma;}}}(p_{\mathrm{cap},k}-p_k)}\&CenterDot;{\mathrm{\&Delta;P}}_g---\left(9\right)$

Wherein, Δ p _kexert oneself for a kth generator need increase;

If formula (8) does not meet, in intermediate data, establish unit (except the unit of planned outage) one by one newly, the p that initially exerts oneself of order increase unit _k=0, until formula (8) meets.Need to illustrate, during increase unit, the whole network generator sum N also upgrades thereupon one by one, and the numerical value often establishing a unit N newly adds 1.

In intermediate data, exerting oneself of unit of increase is adjusted to its minimum load value.Increase each generator output by formula (9) more on this basis, and be modified in intermediate data.

B) if Δ P _g< 0, subtracts all generators of the whole network in intermediate data and exerts oneself, and subtracting the total amount of exerting oneself is Δ P _g.Each generator need subtract strength and calculate by formula (10):

${\mathrm{\&Delta;p}}_k=\frac{(p_k-{\mathrm{\&alpha;}}_k\&CenterDot;p_{\mathrm{cap},k})}{\underset{k=1}{\overset{N}{\mathrm{\&Sigma;}}}(p_k-{\mathrm{\&alpha;}}_k\&CenterDot;p_{\mathrm{cap},k})}\&CenterDot;{\mathrm{\&Delta;P}}_g---\left(10\right)$

Now, Δ p _kstrength, α for a kth generator need subtract _kfor the minimum load scale-up factor of generator k, general value 0.5 ~ 0.6.

4-2-5) after above-mentioned adjustment, intermediate data is defined as raw data.

4-3) carry out Load flow calculation to raw data, Load flow calculation completes by existing ripe business software.If trend restrains, then acquisition pattern data, disperse if trend reports an error or calculates, then adjust according to information, and recalculating trend, iteration like this is until trend convergence or iterations exceed preset value (according to engineering experience, generally desirable 5 ~ 10 times) and then stop.To the flow data of convergence be calculated as final mode data.

In Fig. 1, step 5 describes, and final running mode data is numbered, and is sent to dispatching management information system or its application of other automated system corresponding data catalogues confession.Numbering can adopt, and " date and load method " carries out.

Although the present invention with preferred embodiment openly as above, embodiment is not of the present invention for limiting.Without departing from the spirit and scope of the invention, any equivalence change done or retouching, belong to the protection domain of the present invention equally.Therefore the content that protection scope of the present invention should define with the claim of the application is standard.

Claims (7)

1., based on the power system operating mode generation method of monthly power transmission and transforming equipment turnaround plan, it is characterized in that, comprise the steps:

1) obtain at power grid regulation center in next monthly power transmission and transforming equipment turnaround plan and unit outage plan, next monthly prediction electric quantity data, previous year with next monthly identical monthly monthly load statistics and each day realized load curve, this month electrical network off-line typical way data, all unit rated capacity data and system spinning reserve coefficient, be wherein divided into N with next monthly identical monthly monthly each day realized load curve by one day 24 hours in previous year _pointthe network load performance number of individual period, every point data corresponding period;

2) by mode data based on the full mode of connection data in this month electrical network off-line typical way data of regulation and control center;

3) next monthly prediction electricity is shared each day of next month, and estimate peak load and the low ebb load of next month each day;

4) judge whether next month each day has turnaround plan successively, as then do not skipped, otherwise to there being each day of next month of turnaround plan task, generate respectively each day peak load and low ebb load under two kinds of methods of operation;

5) by final running mode data by being numbered, and be sent to dispatching management information system or other automated system corresponding data catalogues for its application.

2. the power system operating mode generation method based on monthly power transmission and transforming equipment turnaround plan according to claim 1, is characterized in that, described step 3) specifically comprise the following steps:

3-1) according in previous year with next monthly identical monthly monthly load statistics, calculate the prediction electricity of next month each day by formula (1), (2):

$W_i=\frac{W_i^{\&prime;}}{{\mathrm{WP}}^{\&prime;}}\&times;\mathrm{WP},(i=1~d)---\left(1\right)$

${\mathrm{WP}}^{\&prime;}=\underset{i=1}{\overset{d}{\mathrm{\&Sigma;}}}{W}_i^{\&prime;},(i=1~d)---\left(2\right)$

Wherein, d is monthly number of days; WP is next monthly prediction electricity; W _ifor the prediction electricity on next month 1; WP ' in previous year with the previous year same month actual electricity in next monthly identical monthly monthly load statistics; W ' _ifor in previous year with the previous year same month actual electricity on the same day 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, distribute in proportion by formula (3), obtain the prediction load power of next month each day day part:

$P_{i,j}=\underset{j=1}{\overset{N_{\mathrm{point}}}{\mathrm{\&Sigma;}}}(\frac{W_i}{W_i^{\&prime;}}\&CenterDot;P_{i,j}^{\&prime;}),(i=1~d,j=1~N_{\mathrm{point}})---\left(3\right)$

Wherein, P _i,jfor the electrical network prediction load power of jth period next month 1; P ' _i,jfor in previous year with same month prior year in next monthly identical monthly monthly each day realized load curve on the same day with the actual load power of period;

3-3) calculate peak load on next month 1 by formula (4), (5) with low ebb load

$P_i^{\max }=k\&CenterDot;\max \left\{P_{i,j}\right\},(i=1~d,j=1~N_{\mathrm{point}})---\left(4\right)$

$P_i^{\min }=\frac{\min \left\{P_{i,j}\right\}}{k},(i=1~d,j=1~N_{\mathrm{point}})---\left(5\right)$

Wherein, k is constant coefficient.

3. the power system operating mode generation method based on monthly power transmission and transforming equipment turnaround plan according to claim 1, is characterized in that, described step 4) in generate each day peak load and low ebb load under the step of two kinds of methods of operation as follows:

4-1) according to the power transmission and transforming equipment turnaround plan that this day arranges, basal profile data are deleted the power transmission and transforming equipment of each scheduled overhaul one by one, obtains intermediate data;

4-2) based on intermediate data, unit outage plan in this day, step 3) peak load of this day that obtains and low ebb load, consideration system spinning reserve and network loss, adjustment unit output and load, make system power in a basic balance, generating run mode raw data;

4-3) Load flow calculation is carried out to method of operation raw data, if trend restrains, then acquisition pattern data, disperse if trend reports an error or calculates, then adjust according to information, and recalculating trend, iteration like this, until trend convergence or iterations exceed preset value and then stop, will calculate the flow data of convergence as final mode data.

4. the power system operating mode generation method based on monthly power transmission and transforming equipment turnaround plan according to claim 3, is characterized in that, described step 4-2) specifically comprise the following steps:

4-2-1) generator gross capability and load total amount in statistical basis mode data, if generator gross capability is P _gorg, load total amount is P _lorg;

In intermediate data, 4-2-2) search the unit that this daily planning is stopped transport, and the gross capability adding up these units is P _gstop, then in intermediate data, delete these units;

4-2-3) calculate the peak load of this day or low ebb load and P by formula (6) _lorgdifference DELTA P _l, and adjust each node load of the whole network and make the whole network load total amount be P _llim:

ΔP _l＝P _llim-P _lorg(6)

Wherein, the P when calculating peak load mode _llimfor the peak load of this day; The P when calculating low ebb load method _llimfor the low ebb load of this day;

If Δ P _l> 0, then increase load at equal pace at each load bus of the whole network, if Δ P _l< 0, then in each load bus of the whole network load shedding at equal pace, make the whole network total load be P _llim;

4-2-4) take into account the unit of planned outage, and consider network loss size in the ratio of generation load in raw data, computing system generator need increase exerts oneself or subtracts the total value Δ P that exerts oneself _g, shown in (7):

${\mathrm{\&Delta;P}}_g=\frac{P_{\mathrm{gorg}}\&CenterDot;P_{\mathrm{llim}}}{p_{\mathrm{lorg}}}-P_{\mathrm{gorg}}+P_{\mathrm{gstop}}---\left(7\right)$

A) if Δ P _g>=0, to step 4-2-2) in deleted all generators in the intermediate data of planned outage unit and increase and exert oneself, making to increase the total amount of exerting oneself is Δ P _g:

First, whether according to whether meeting formula (8), to judge to increase the space of exerting oneself when consideration system leaves necessarily for subsequent use enough:

$\underset{k=1}{\overset{N}{\mathrm{\&Sigma;}}}(p_{\mathrm{cap},k}-p_k)-{\mathrm{\&Delta;P}}_g\&GreaterEqual;\mathrm{\&lambda;}\&CenterDot;P_{\mathrm{llim}}---\left(8\right)$

Wherein, N is the whole network generator sum in intermediate data; p _kfor initially the exerting oneself in raw data of a kth generator; p _{cap, k}for the rated capacity of a kth generator; λ is system spinning reserve coefficient, and peak load is different with its value under low ebb load method, determines respectively according to industry or enterprise's relevant criterion or specification;

If formula (8) meets, then in intermediate data, increase each generator output, each generator need increase to exert oneself and to calculate by (9) formula:

${\mathrm{\&Delta;p}}_k=\frac{(p_{\mathrm{cap},k}-p_k)}{\underset{k=1}{\overset{N}{\mathrm{\&Sigma;}}}(p_{\mathrm{cap},k}-p_k)}\&CenterDot;{\mathrm{\&Delta;P}}_g---\left(9\right)$

Wherein, Δ p _kexert oneself for a kth generator need increase;

If formula (8) does not meet, then in intermediate data, establish unit newly one by one but except the unit of planned outage, make initially exerting oneself of unit of increase be 0, until formula (8) meets; During increase unit, the whole network generator sum N also upgrades thereupon one by one, and the numerical value often establishing a unit N newly adds 1;

In intermediate data, exerting oneself of unit of increase is adjusted to its minimum load value; Increase each generator output by formula (9) more on this basis, and be modified in intermediate data;

B) if Δ P _g< 0, subtracts all generators of the whole network in intermediate data and exerts oneself, and subtracting the total amount of exerting oneself is Δ P _g; Each generator need subtract strength and calculate by formula (10):

${\mathrm{\&Delta;p}}_k=\frac{(p_k--{\mathrm{\&alpha;}}_k\&CenterDot;p_{\mathrm{cap},k})}{\underset{k=1}{\overset{N}{\mathrm{\&Sigma;}}}\left({p_k-{\mathrm{\&alpha;}}_k\&CenterDot;p}_{\mathrm{cap},k}\right)}\&CenterDot;{\mathrm{\&Delta;P}}_g---\left(10\right)$

Now, Δ p _kstrength, α for a kth generator need subtract _kfor the minimum load scale-up factor of a kth generator;

4-2-5) after above-mentioned adjustment, intermediate data is defined as raw data.

5. the power system operating mode generation method based on monthly power transmission and transforming equipment turnaround plan according to claim 2, is characterized in that, described constant coefficient k value is 1.0 ~ 1.1.

6. the power system operating mode generation method based on monthly power transmission and transforming equipment turnaround plan according to claim 4, is characterized in that, the minimum load scale-up factor α of a described kth generator _kvalue is 0.5 ~ 0.6.

7. the power system operating mode generation method based on monthly power transmission and transforming equipment turnaround plan described arbitrarily according to claim 1 ~ 6, is characterized in that, described N _pointbe 96, be divided into 96 periods with next monthly identical monthly monthly each day realized load curve by one day 24 hours in previous year, each period is 15 minutes, every point data network load performance number of corresponding 15 minutes.