CN110674986B - Peak regulation influence evaluation method for outsourcing electricity sale annual decomposition scheme and related equipment - Google Patents

Peak regulation influence evaluation method for outsourcing electricity sale annual decomposition scheme and related equipment Download PDF

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CN110674986B
CN110674986B CN201910897218.4A CN201910897218A CN110674986B CN 110674986 B CN110674986 B CN 110674986B CN 201910897218 A CN201910897218 A CN 201910897218A CN 110674986 B CN110674986 B CN 110674986B
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梁振成
卢纯颢
凌武能
吴茵
林洁
李秋文
莫东
巩德军
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Abstract

The application discloses a peak regulation influence evaluation method and related equipment for an outsourcing electricity sale annual decomposition scheme. The method comprises the following steps: acquiring monthly decomposed electricity quantity of annual outsourcing electricity sales; according to the monthly decomposed electric quantity, determining the exchange power range of the whole day; acquiring the minimum power generation power of each type of power supply; acquiring load requirements of a low ebb period; and evaluating the peak shaving influence according to the exchange power range of the whole day, the minimum generating power and the load demand of the low-ebb period. Compared with the related art, the evaluation accuracy is improved due to the consideration of the correlation between the purchased electric quantity and the minimum exchange power of the low valley of the purchased electric quantity.

Description

Peak regulation influence evaluation method for outsourcing electricity sale annual decomposition scheme and related equipment
Technical Field
The application relates to the technical field of electric power system scheduling operation, in particular to a peak shaving influence evaluation method and related equipment for an outsourcing electricity sale annual decomposition scheme.
Background
The outsourcing electricity sale annual decomposition refers to a process of decomposing annual power transmission and reception plan electric quantity to each month among provincial power grids with a cross-provincial power transmission relation. Annual decomposition is important content of medium-long term operation mode arrangement, is boundary data of services such as annual power and electric quantity balance measurement and calculation, and has obvious influence on the operation benefit of a power grid.
The traditional outsourcing electricity selling annual decomposition mainly considers monthly power and electricity balance limitation, and avoids serious consequences such as power and electricity shortage, plan completion influence and even electricity limitation caused by improper decomposition.
In recent years, with the rapid increase of new energy such as wind power and the like, the peak shaving pressure of a power grid is remarkably increased. The peak regulation factor is additionally considered in the outsourcing power selling planning link, and the method becomes a hotspot content of the research in the field. In the related art, the possible peak load regulation requirements are mainly measured and calculated by considering the starting capacity in the minimum operation mode of the power grid in different months, and the specific implementation mode is as follows:
1) acquiring the maximum/minimum power transmission capacity of an outgoing channel; specifically, the maximum/minimum power transmission capacity is obtained according to the safe operation requirement of the power transmission and reception channels between the power grids, the minimum power transmission capacity is generally obtained when the peak shaving of the power transmission power grid is evaluated in consideration of the difference between the power grid at the transmission end and the power grid at the reception end, and the product of the maximum power reception capacity and the protocol peak shaving depth is obtained by the power grid at the reception end.
2) Calculating the minimum output of the power generation side; specifically, the peak regulation capacity of different types of power supplies such as thermal power, hydroelectric power, nuclear power, wind power and the like is considered respectively in the step, and the minimum output of the power generation side is given;
3) predicting the minimum load in the province; specifically, the intra-provincial minimum load is predicted according to relevant factors such as intra-provincial economy and weather.
4) Based on the results of 1) to 3), peak shaver demand evaluation was performed.
The peak regulation demand evaluation method provides a basic framework for peak regulation demand evaluation, but the evaluation result is inaccurate due to few consideration factors.
Disclosure of Invention
The application aims to provide a peak regulation influence evaluation method of an outsourcing electricity sale annual decomposition scheme and related equipment to solve the problems.
The purpose of the application is realized by the following technical scheme:
a peak regulation influence evaluation method for an outsourcing electricity sale annual decomposition scheme comprises the following steps:
acquiring monthly decomposed electricity quantity of annual outsourcing electricity sales;
according to the monthly decomposed electric quantity, determining the exchange power range of the whole day;
acquiring the minimum power generation power of each type of power supply;
acquiring load requirements of a low ebb period;
and evaluating the peak shaving influence according to the exchange power range of the whole day, the minimum generating power and the load demand of the low-ebb period.
Optionally, the determining the exchange power range of the whole day according to the monthly decomposed electric quantity includes:
predicting typical daily load;
according to the monthly decomposed electricity quantity and the typical daily load, determining the outsourcing sale electricity quantity of each typical day according to an equal proportion principle, so that the outsourcing sale electricity quantity of each typical day meets the following formula:
Figure BDA0002210656050000021
Figure BDA0002210656050000022
wherein Ex is an identifier of outsourcing;
Figure BDA0002210656050000023
decomposing the electric quantity for the month of buying the sold electricity outside the year of the mth month; d is the number of typical day categories;
Figure BDA0002210656050000024
the daily decomposition value of the purchased electricity consumption on the d-th typical day in the m-th month;Dan identification of a day;
Figure BDA0002210656050000025
the typical day type number of the mth month;
Figure BDA0002210656050000026
days of typical day of mth month;Tis an identification of time;LFan identification of a load forecast;
Figure BDA0002210656050000027
predicting the electricity consumption for days of the mth typical day of the mth month; const is a constant;
the maximum power transmission power and the minimum power transmission power of the mth month and the d typical days are determined according to the following formulas:
Figure BDA0002210656050000031
Figure BDA0002210656050000032
wherein M isExLimiting the maximum power transmission power of the power-saving transmission channel;
Figure BDA0002210656050000033
the maximum transmitted power of the mth typical day in the mth month;
Figure BDA0002210656050000034
the minimum transmitted power for the mth typical day in the mth month; peakm,dPeak shaving rate for the d typical day of month m; peakmaxThe peak regulation rate upper limit is specified for the outsourcing electricity-selling protocol; peakminThe peak shaving rate lower limit is specified for the outsourcing electricity-selling protocol; LoRam,dLoad rate for typical day of mth month, d; LoRamaxA load rate limit specified for the outsourcing electricity sales agreement.
Optionally, the power sources include wind power, hydroelectric power and thermal power.
Optionally, the obtaining the minimum generated power of each type of power source includes:
obtaining the average output of the wind power generation power in the mth month and the d-th typical daily peak period
Figure BDA0002210656050000035
Mean output during valley time
Figure BDA0002210656050000036
Obtaining the maximum output of the hydroelectric power generation power in the ith typical daily peak period of the mth month
Figure BDA0002210656050000037
And minimum force respectively
Figure BDA0002210656050000038
Obtaining the maximum load of the d-th typical day valley period of the m-th month
Figure BDA0002210656050000039
Determining the minimum starting capacity of the thermal power generating unit under the mth typical day operation mode in the mth month according to the following formula
Figure BDA00022106560500000310
Figure BDA00022106560500000311
K is a starting identifier; h is the mark of the peak period; l is an identifier of a valley period;
Figure BDA00022106560500000312
the thermal power limited ratio is the thermal power limited ratio of the mth typical day of the mth month, and S at the upper-standard position is the identifier of the thermal power limited ratio;
Figure BDA00022106560500000313
the spare capacity of the mth typical day of the mth month res is the identifier of the spare.
Optionally, the acquiring the load demand in the valley period includes:
obtaining the minimum load of the d-th typical day valley period of the m-th month
Figure BDA00022106560500000314
Optionally, the performing peak shaving influence evaluation according to the exchange power range of the whole day, the minimum generated power, and the load demand of the valley period includes:
when the condition shown in the following formula is met, determining that the peak regulation requirement of the thermal power generating unit exists:
Figure BDA0002210656050000041
wherein the content of the first and second substances,
Figure BDA0002210656050000042
the peak shaving depth is the basic peak shaving depth of the mth typical thermal power generating unit in the mth month;
if the condition shown in the following formula is satisfied for the delivered electric power, it is determined that there is a peak shaving demand:
Figure BDA0002210656050000043
determining that a peak shaver demand exists when the conditions shown in the following formula are satisfied:
Figure BDA0002210656050000044
determining the peak regulation demand minimum value of the mth typical day of the mth month according to the following formula:
Figure BDA0002210656050000045
wherein the content of the first and second substances,
Figure BDA0002210656050000046
the peak regulation demand minimum value of the d typical day of the m month;
determining the annual peak regulation demand minimum value according to the following formula:
Figure BDA0002210656050000047
wherein the content of the first and second substances,
Figure BDA0002210656050000048
all the months of the d-th typical day;
and (4) carrying out peak shaving influence evaluation according to the minimum value of the annual peak shaving demand.
Optionally, before acquiring monthly decomposed electricity of annual outsourcing power sale, the method further includes:
and carrying out annual decomposition on the purchased power sale.
A peak shaving influence evaluation device of an outsourcing electricity sale annual decomposition scheme comprises:
the first acquisition module is used for acquiring monthly decomposed electricity of annual outsourcing electricity sales;
the range determining module is used for determining the exchange power range of the whole day according to the monthly decomposed electric quantity;
the second acquisition module is used for acquiring the minimum generated power of each type of power supply;
the third acquisition module is used for acquiring the load demand in the valley period;
and the peak regulation evaluation module is used for carrying out peak regulation influence evaluation according to the exchange power range of the whole day, the minimum generating power and the load demand of the low-ebb period.
A peak shaving influence evaluation apparatus of an outsourcing electricity sales annual decomposition scenario, comprising:
a processor, and a memory coupled to the processor;
the processor is adapted to invoke and execute the computer program in the memory to perform the steps of the method as claimed in any one of the above.
A storage medium storing a computer program which, when executed, implements the steps of a method as claimed in any one of the above.
This application adopts above technical scheme, has following beneficial effect:
the inventor finds that actually according to an inter-provincial power transmission and reception protocol, a definite proportional relation exists between daily exchange electric quantity and peak shaving rate thereof, so that a coupling relation exists between peak shaving influence evaluation and outsourcing electric quantity decomposition, minimum power transmission electric power determined by decomposed electric quantity must be considered in outsourcing electric quantity decomposition so as to improve evaluation accuracy, and for this reason, in the scheme of the application, a constraint model between outsourcing electric quantity and power transmission electric power is constructed based on outsourcing power selling protocol characteristics, on the basis of the constraint model, an outsourcing electric power selling annual decomposition scheme peak shaving influence evaluation method is provided, according to monthly decomposed electric quantity, a daily exchange power range is determined, minimum power generation power of each type of power supply is obtained, a low-valley time-period load demand is obtained, according to the daily exchange power range, the minimum power generation power and the low-valley-time-period load demand, and (5) carrying out peak shaving influence evaluation. Thus, compared with the related art, the evaluation accuracy is improved due to the consideration of the correlation between the purchased electric quantity and the minimum exchange power of the purchased electric quantity in the valley period.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a peak shaving influence evaluation method for an outsourcing electricity sale annual decomposition scheme according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of a peak shaving influence evaluation apparatus for an outsourcing electricity sale annual decomposition scheme according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a peak shaving influence evaluation device of an outsourcing electricity sale annual decomposition scheme according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
Examples
Referring to fig. 1, fig. 1 is a flowchart of a peak shaving influence evaluation method of an outsourcing electricity sale annual decomposition scheme according to an embodiment of the present application.
As shown in fig. 1, the peak shaving influence evaluation method for the outsourcing electricity sale annual decomposition scheme provided in this embodiment at least includes the following steps:
and 11, acquiring monthly decomposed electricity of annual outsourcing power sale.
And step 12, decomposing the electric quantity according to the month, and determining the exchange power range of the whole day.
And step 13, acquiring the minimum generated power of each type of power supply.
And step 14, acquiring the load requirement of the valley period.
And step 15, evaluating the peak shaving influence according to the exchange power range, the minimum generating power and the load requirement of the low-ebb period all day.
The inventor finds that actually according to the provincial power transmission and reception protocol, the daily exchange power and the peak regulation rate have clear proportional relation, so that the coupling relation exists between the peak regulation influence evaluation and outsourcing power decomposition, in the outsourcing power decomposition, the minimum transmission power determined by the decomposed power must be considered to improve the evaluation accuracy, and for this reason, in the scheme of the present application, based on the characteristics of the outsourcing electricity-selling protocol, a constraint model between the outsourcing electricity-selling quantity and the transmitted electricity is constructed, on the basis, a peak regulation influence evaluation method for an outsourcing electricity sale annual decomposition scheme is provided, according to monthly decomposition electric quantity, the exchange power range of the whole day is determined, the minimum generating power of each type of power supply is obtained, the load demand of the off-peak period is obtained, and (4) carrying out peak shaving influence evaluation according to the exchange power range, the minimum generating power and the load demand of the low-ebb time period all day. Thus, compared with the related art, the evaluation accuracy is improved due to the consideration of the correlation between the purchased electric quantity and the minimum exchange power of the purchased electric quantity in the valley period.
The execution main body of the scheme of the application can be terminal equipment or a functional module inside the terminal equipment.
Wherein, each type of power supply can comprise wind power, hydroelectric power and thermal power. Taking this as an example, the method for evaluating the peak shaving influence of the outsourcing electricity sale annual decomposition scheme provided in the examples of the present application is described in more detail below.
It is understood that, before acquiring the monthly decomposed electricity of the annual outsourcing power sale, the method may further include: and carrying out annual decomposition on the purchased power sale. The specific annual decomposition scheme can refer to the existing technology, and is not described in detail herein.
In the step 12, the exchange power range of the whole day is determined according to the monthly decomposed electric quantity, and there are various specific implementation manners, where one possible implementation manner may include, but is not limited to:
step one, predicting typical daily load.
The load refers to a demand amount of electricity (i.e., power) or a used amount of electricity. The daily load curve may reflect the regularity of the change in load over time during the course of a day. Since the change of the daily load curve is regular, for example, the shape of each daily curve in the same month of the same year is close, in the related art, the daily load curve can be predicted, which is helpful for scheduling the power dispatching plan. Typical daily loads are daily load curves that reflect the characteristics of the daily load over a period of time. In this step, the load value that changes with time in a day can be predicted by predicting the typical daily load, and the specific implementation manner may refer to the related art, which is not described herein again.
Step two, decomposing the electricity quantity and the typical daily load according to the monthly degree, and determining the outsourcing electricity sale quantity of each typical day according to an equal proportion principle, so that the outsourcing electricity sale quantity of each typical day meets the following formula:
Figure BDA0002210656050000071
Figure BDA0002210656050000072
wherein Ex is an identifier of outsourcing;
Figure BDA0002210656050000081
decomposing the electric quantity for the month of buying the sold electricity outside the year of the mth month; d is the number of typical day categories;
Figure BDA0002210656050000082
the daily decomposition value of the purchased electricity consumption on the d-th typical day in the m-th month; d is the identification of the day;
Figure BDA0002210656050000083
the typical day type number of the mth month;
Figure BDA0002210656050000084
days of typical day of mth month; t is the mark of time; LF is the mark of load prediction;
Figure BDA0002210656050000085
predicting the electricity consumption for days of the mth typical day of the mth month; const is constant and is
Figure BDA0002210656050000086
The ratio of the daily decomposition value of the purchased electricity consumption on the d-th typical day in the m-th month to the daily predicted electricity consumption on the d-th typical day in the m-th month.
The outsourcing electricity-selling protocol specifies that the outsourcing electricity-selling quantity is a positive value when the exchange power is sent out for the province to be evaluated; when the exchange power is received, the outsourcing electricity selling quantity is a negative value. The formula (1a) can ensure that the accumulated value of the outsourced electricity sales on all typical days is equal to the monthly decomposition value of the outsourced electricity sales in the current month. The formula (1b) can ensure that the outsourcing selling electricity quantity decomposition value on different typical days is the same as the predicted electricity consumption proportion on the typical day.
And step three, determining the maximum power transmission power and the minimum power transmission power of the mth typical day in the mth month. Specifically, the method comprises the following steps:
according to the outsourcing electricity-selling protocol, the planned peak-load-adjusting rate of the outsourcing electricity-selling day is in a certain range, and the daily power-transmission load rate is not more than a given limit value, namely, the following requirements are met:
peakmin≤peakm,d≤peakmax (2a)
LoRam,d≤LoRamax (2b)
the peak shaving rate is the ratio of the minimum power transmission power during the low-peak period to the maximum power transmission power during the high-peak period, and the load factor is the ratio of the electricity quantity purchased in the day to the maximum power transmission power thereof to 24 hours, so the formulas (2a) and (2b) can be converted into:
Figure BDA0002210656050000087
Figure BDA0002210656050000088
considering that the maximum power transmission power should also be smaller than the maximum power transmission capacity of the outgoing channel, namely:
Figure BDA0002210656050000089
the maximum power transmission power and the minimum power transmission power on the day d of the mth month, which are obtained by combining the formula (3a), the formula (3b) and the formula (4), are respectively satisfied:
Figure BDA0002210656050000091
Figure BDA0002210656050000092
wherein M isExLimiting the maximum power transmission power of the power-saving transmission channel;
Figure BDA0002210656050000093
the maximum transmitted power of the mth typical day in the mth month;
Figure BDA0002210656050000094
the minimum transmitted power for the mth typical day in the mth month; peakm,dPeak shaving rate for the d typical day of month m; peakmaxThe peak regulation rate upper limit is specified for the outsourcing electricity-selling protocol; peakminThe peak shaving rate lower limit is specified for the outsourcing electricity-selling protocol; LoRam,dLoad rate for typical day of mth month, d; LoRamaxA load rate limit specified for the outsourcing electricity sales agreement.
In step 13, the minimum generated power of each type of power source is obtained, and there are various specific implementation manners, where one specific implementation manner may include:
step one, obtaining the average output of the wind power generation power in the mth month and the d-th typical daily peak period
Figure BDA0002210656050000095
Mean output during valley time
Figure BDA0002210656050000096
Step two, acquiring the maximum output of the hydroelectric power generation power in the mth month and the d-th typical peak time period
Figure BDA0002210656050000097
And minimum output
Figure BDA0002210656050000098
Step three, acquiring the maximum load of the d-th typical day valley period of the m-th month
Figure BDA0002210656050000099
Step four, determining the minimum starting capacity of the thermal power generating unit in the mth month and the tth typical day operation mode, specifically as follows:
the starting capacity of a typical daily thermal power generating unit is ensured to supply power in peak time, namely, the following conditions are met:
Figure BDA00022106560500000910
k is a starting identifier; h is the mark of the peak period; l is an identifier of a valley period;
Figure BDA00022106560500000911
the thermal power limited ratio is the thermal power limited ratio of the mth typical day of the mth month, and S at the upper-standard position is the identifier of the thermal power limited ratio;
Figure BDA00022106560500000912
the spare capacity of the mth typical day of the mth month res is the identifier of the spare.
According to the formula (6), the minimum starting capacity of the thermal power generating unit is obtained in the mth typical day operation mode in the mth month
Figure BDA0002210656050000101
Comprises the following steps:
Figure BDA0002210656050000102
in formula (7) [ ·]Indicating that the capacity of the heat-engine-starting motor assembling machine is greater than that in the capacity combination scene according to the actual heat-engine-starting motor assembling machine
Figure BDA0002210656050000103
The boot mode with the smallest amplitude corresponds to the capacity.
Based on the above related embodiments, correspondingly, in the step 14, acquiring the load demand in the valley period may include: obtaining the minimum load of the d-th typical day valley period of the m-th month
Figure BDA0002210656050000104
The technology for forecasting boundary data such as wind power, load, water and electricity is relatively mature, and the specific implementation process is not repeated.
Based on the above related embodiments, in the step 15, the peak shaving influence evaluation is performed according to the exchange power range, the minimum power generation power, and the load demand in the valley period of the whole day, and the specific implementation manner may include:
when the load demand and the power transmission power in the low-ebb period are smaller than the minimum power generation power of each type of power supply, namely when the conditions shown in the following formula are met, determining that the peak regulation demand of the thermal power generating unit exists:
Figure BDA0002210656050000105
wherein the content of the first and second substances,
Figure BDA0002210656050000106
the peak shaving depth is the basic peak shaving depth of the mth and the mth typical thermal power generating units.
If the condition shown in the following formula is satisfied for the delivered electric power, it is determined that there is a peak shaving demand:
Figure BDA0002210656050000107
determining that a peak shaver demand exists when the conditions shown in the following formula are satisfied:
Figure BDA0002210656050000108
determining the peak regulation demand minimum value of the mth typical day of the mth month according to the following formula:
Figure BDA0002210656050000109
wherein the content of the first and second substances,
Figure BDA00022106560500001010
peak shaver demand minimum for the d typical day of month m.
Determining the annual peak regulation demand minimum value according to the following formula:
Figure BDA0002210656050000111
wherein the content of the first and second substances,
Figure BDA0002210656050000112
for all months in which the d-th typical day occurs.
And (4) carrying out peak shaving influence evaluation according to the minimum value of the annual peak shaving demand.
When the peak shaving influence of the outsourcing power sale decomposition scheme is evaluated based on the scheme in the embodiment, the minimum value of the peak shaving requirement of the whole year only needs to be compared, and the smaller the value is, the smaller the peak shaving requirement of the decomposition scheme is.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a peak shaving influence evaluation apparatus for an outsourcing electricity sale annual decomposition scheme according to another embodiment of the present application.
As shown in fig. 2, the peak shaving influence evaluation apparatus for the outsourcing electricity sale annual decomposition scheme provided in this embodiment includes:
a first obtaining module 201, configured to obtain monthly decomposed electricity for annual outsourcing electricity sales;
the range determining module 202 is used for determining the exchange power range of the whole day according to the monthly decomposed electric quantity;
the second obtaining module 203 is used for obtaining the minimum generated power of each type of power supply;
a third obtaining module 204, configured to obtain a load demand during a valley period;
and the peak regulation evaluation module 205 is configured to evaluate peak regulation influence according to the exchange power range, the minimum generated power, and the load demand at the valley period of the whole day.
Optionally, the range determining module is specifically configured to:
predicting typical daily load;
according to monthly decomposed electricity and typical daily load, determining the outsourcing electricity sales of each typical day according to an equal proportion principle, so that the outsourcing electricity sales of each typical day meet the following formula:
Figure BDA0002210656050000113
Figure BDA0002210656050000114
wherein Ex is an identifier of outsourcing;
Figure BDA0002210656050000115
decomposing the electric quantity for the month of buying the sold electricity outside the year of the mth month; d is the number of typical day categories;
Figure BDA0002210656050000116
the daily decomposition value of the purchased electricity consumption on the d-th typical day in the m-th month; d is the identification of the day;
Figure BDA0002210656050000121
the typical day type number of the mth month;
Figure BDA0002210656050000122
days of typical day of mth month; t is the mark of time; LF is the mark of load prediction;
Figure BDA0002210656050000123
predicting the electricity consumption for days of the mth typical day of the mth month; const is a constant;
the maximum power transmission power and the minimum power transmission power of the mth month and the d typical days are determined according to the following formulas:
Figure BDA0002210656050000124
Figure BDA0002210656050000125
wherein，MExLimiting the maximum power transmission power of the power-saving transmission channel;
Figure BDA0002210656050000126
the maximum transmitted power of the mth typical day in the mth month;
Figure BDA0002210656050000127
the minimum transmitted power for the mth typical day in the mth month; peakm,dPeak shaving rate for the d typical day of month m; peakmaxThe peak regulation rate upper limit is specified for the outsourcing electricity-selling protocol; peakminThe peak shaving rate lower limit is specified for the outsourcing electricity-selling protocol; LoRam,dLoad rate for typical day of mth month, d; LoRamaxA load rate limit specified for the outsourcing electricity sales agreement.
Optionally, the power sources include wind power, hydroelectric power and thermal power.
Optionally, the second obtaining module is specifically configured to:
obtaining the average output of the wind power generation power in the mth month and the d-th typical daily peak period
Figure BDA0002210656050000128
Mean output during valley time
Figure BDA0002210656050000129
Obtaining the maximum output of the hydroelectric power generation power in the ith typical daily peak period of the mth month
Figure BDA00022106560500001210
And minimum output
Figure BDA00022106560500001211
Obtaining the maximum load of the d-th typical day valley period of the m-th month
Figure BDA00022106560500001212
Determining the thermal power under the mth and the mth typical day operation modes according to the following formulaMinimum starting capacity of unit
Figure BDA00022106560500001213
Figure BDA00022106560500001214
K is a starting identifier; h is the mark of the peak period; l is an identifier of a valley period;
Figure BDA0002210656050000131
the thermal power limited ratio is the thermal power limited ratio of the mth typical day of the mth month, and S at the upper-standard position is the identifier of the thermal power limited ratio;
Figure BDA0002210656050000132
the spare capacity of the mth typical day of the mth month res is the identifier of the spare.
Optionally, the third obtaining module is specifically configured to:
obtaining the minimum load of the d-th typical day valley period of the m-th month
Figure BDA0002210656050000133
Optionally, the peak shaving evaluation module is specifically configured to:
when the condition shown in the following formula is met, determining that the peak regulation requirement of the thermal power generating unit exists:
Figure BDA0002210656050000134
wherein the content of the first and second substances,
Figure BDA0002210656050000135
the peak shaving depth is the basic peak shaving depth of the mth typical thermal power generating unit in the mth month;
if the condition shown in the following formula is satisfied for the delivered electric power, it is determined that there is a peak shaving demand:
Figure BDA0002210656050000136
determining that a peak shaver demand exists when the conditions shown in the following formula are satisfied:
Figure BDA0002210656050000137
determining the peak regulation demand minimum value of the mth typical day of the mth month according to the following formula:
Figure BDA0002210656050000138
wherein the content of the first and second substances,
Figure BDA0002210656050000139
the peak regulation demand minimum value of the d typical day of the m month;
determining the annual peak regulation demand minimum value according to the following formula:
Figure BDA00022106560500001310
wherein the content of the first and second substances,
Figure BDA00022106560500001311
all the months of the d-th typical day;
and (4) carrying out peak shaving influence evaluation according to the minimum value of the annual peak shaving demand.
Optionally, the apparatus further comprises: and the decomposition module is used for performing annual decomposition on the outsourcing power sale before acquiring monthly decomposition electric quantity of the annual outsourcing power sale.
The specific implementation of the peak shaving influence evaluation apparatus for the outsourcing electricity-selling annual decomposition scheme provided in this embodiment may refer to the related embodiments of the peak shaving influence evaluation method for the outsourcing electricity-selling annual decomposition scheme, and details are not described here.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a peak shaving influence evaluation apparatus for an outsourcing electricity sale annual decomposition scheme according to another embodiment of the present application.
As shown in fig. 3, the peak shaving influence evaluation apparatus for the outsourcing electricity sale annual decomposition scheme provided in this embodiment includes:
a processor 301, and a memory 302 connected to the processor 301;
the processor 301 is adapted to invoke and execute a computer program in the memory to perform the steps of the method according to any of the above embodiments.
The specific implementation of the peak shaving influence evaluation apparatus for the outsourcing electricity-selling annual decomposition scheme provided in this embodiment may refer to the related embodiments of the peak shaving influence evaluation method for the outsourcing electricity-selling annual decomposition scheme, and details are not described here.
Another embodiment of the present application further provides a storage medium storing a computer program, which when executed, implements the steps of the method according to any of the above embodiments.
For a specific implementation of the storage medium provided in this embodiment, reference may be made to the related embodiments of the peak shaving influence evaluation method in the outsourcing electricity sale annual decomposition scheme, and details are not described here again.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.

Claims (6)

1. A peak regulation influence evaluation method for an outsourcing electricity sale annual decomposition scheme is characterized by comprising the following steps:
acquiring monthly decomposed electricity quantity of annual outsourcing electricity sales;
according to the monthly decomposed electric quantity, determining the exchange power range of the whole day;
acquiring the minimum power generation power of each type of power supply;
acquiring load requirements of a low ebb period;
according to the exchange power range of the whole day, the minimum generating power and the load demand of the low-ebb period, carrying out peak regulation influence evaluation;
the determining of the exchange power range of the whole day according to the monthly decomposed electric quantity comprises the following steps:
predicting typical daily load;
according to the monthly decomposed electricity quantity and the typical daily load, determining the outsourcing sale electricity quantity of each typical day according to an equal proportion principle, so that the outsourcing sale electricity quantity of each typical day meets the following formula:
Figure FDA0003503788510000011
Figure FDA0003503788510000012
wherein Ex is an identifier of outsourcing;
Figure FDA0003503788510000013
decomposing the electric quantity for the month of buying the sold electricity outside the year of the mth month; d is the number of typical day categories;
Figure FDA0003503788510000014
the daily decomposition value of the purchased electricity consumption on the d-th typical day in the m-th month; d is the identification of the day;
Figure FDA0003503788510000015
the typical day type number of the mth month;
Figure FDA0003503788510000016
days of typical day of mth month; t is the mark of time; LF is the mark of load prediction;
Figure FDA0003503788510000017
predicting the electricity consumption for days of the mth typical day of the mth month; const is a constant;
the maximum power transmission power and the minimum power transmission power of the mth month and the d typical days are determined according to the following formulas:
Figure FDA0003503788510000018
Figure FDA0003503788510000019
wherein M isExLimiting the maximum power transmission power of the power-saving transmission channel;
Figure FDA00035037885100000110
is m monthd is the maximum transmitted power of a typical day;
Figure FDA0003503788510000021
the minimum transmitted power for the mth typical day in the mth month; peakm,dPeak shaving rate for the d typical day of month m; peakmaxThe peak regulation rate upper limit is specified for the outsourcing electricity-selling protocol; peakminThe peak shaving rate lower limit specified for the outsourcing electricity-selling protocol; LoRam,dLoad rate for typical day of mth month, d; LoRamaxA load rate limit value specified for the outsourcing electricity-selling agreement;
the various types of power supplies comprise wind power, hydroelectric power and thermal power;
the acquiring of the minimum generated power of each type of power source includes:
obtaining the average output of the wind power generation power in the mth month and the d-th typical daily peak period
Figure FDA0003503788510000022
Mean output during valley time
Figure FDA0003503788510000023
Obtaining the maximum output of the hydroelectric power generation power in the ith typical daily peak period of the mth month
Figure FDA0003503788510000024
And minimum output
Figure FDA0003503788510000025
Obtaining the maximum load of the d-th typical day valley period of the m-th month
Figure FDA0003503788510000026
Determining the minimum starting capacity of the thermal power generating unit under the mth typical day operation mode in the mth month according to the following formula
Figure FDA0003503788510000027
Figure FDA0003503788510000028
K is a starting identifier; h is the mark of the peak period; l is an identifier of a valley period;
Figure FDA0003503788510000029
the thermal power limited ratio is the thermal power limited ratio of the mth typical day of the mth month, and S at the upper-standard position is the identifier of the thermal power limited ratio;
Figure FDA00035037885100000210
the spare capacity of the d typical day of the mth month, res is the identifier of spare;
the peak shaving influence assessment according to the exchange power range, the minimum power generation power and the load demand of the valley period of the whole day comprises the following steps:
when the condition shown in the following formula is met, determining that the peak regulation requirement of the thermal power generating unit exists:
Figure FDA00035037885100000211
wherein the content of the first and second substances,
Figure FDA00035037885100000212
the peak shaving depth is the basic peak shaving depth of the mth typical thermal power generating unit in the mth month;
if the condition shown in the following formula is satisfied for the delivered electric power, it is determined that there is a peak shaving demand:
Figure FDA00035037885100000213
determining that a peak shaver demand exists when the conditions shown in the following formula are satisfied:
Figure FDA0003503788510000031
determining the peak regulation demand minimum value of the mth typical day of the mth month according to the following formula:
Figure FDA0003503788510000032
wherein the content of the first and second substances,
Figure FDA0003503788510000033
the peak regulation demand minimum value of the d typical day of the m month;
determining the annual peak regulation demand minimum value according to the following formula:
Figure FDA0003503788510000034
wherein the content of the first and second substances,
Figure FDA0003503788510000035
all the months of the d-th typical day;
and (4) carrying out peak shaving influence evaluation according to the minimum value of the annual peak shaving demand.
2. The method of claim 1, wherein the obtaining the trough time period load demand comprises:
obtaining the minimum load of the d-th typical day valley period of the m-th month
Figure FDA0003503788510000036
3. The method of claim 1, wherein prior to obtaining the monthly split power for annual outsourcing power sales, the method further comprises:
and carrying out annual decomposition on the purchased power sale.
4. A peak shaving influence evaluation device for an outsourcing electricity sale annual decomposition scheme is characterized by comprising:
the first acquisition module is used for acquiring monthly decomposed electricity of annual outsourcing electricity sales;
the range determining module is used for determining the exchange power range of the whole day according to the monthly decomposed electric quantity;
the second acquisition module is used for acquiring the minimum generated power of each type of power supply;
the third acquisition module is used for acquiring the load demand in the valley period;
the peak regulation evaluation module is used for carrying out peak regulation influence evaluation according to the exchange power range of the whole day, the minimum generating power and the load demand of the low-ebb period;
the determining of the exchange power range of the whole day according to the monthly decomposed electric quantity comprises the following steps:
predicting typical daily load;
according to the monthly decomposed electricity quantity and the typical daily load, determining the outsourcing sale electricity quantity of each typical day according to an equal proportion principle, so that the outsourcing sale electricity quantity of each typical day meets the following formula:
Figure FDA0003503788510000041
Figure FDA0003503788510000042
wherein Ex is an identifier of outsourcing;
Figure FDA0003503788510000043
decomposing the electric quantity for the month of buying the sold electricity outside the year of the mth month; d is the number of typical day categories;
Figure FDA0003503788510000044
the daily decomposition value of the purchased electricity consumption on the d-th typical day in the m-th month; d is the identification of the day;
Figure FDA0003503788510000045
the typical day type number of the mth month;
Figure FDA0003503788510000046
days of typical day of mth month; t is the mark of time; LF is the mark of load prediction;
Figure FDA0003503788510000047
predicting the electricity consumption for days of the mth typical day of the mth month; const is a constant;
the maximum power transmission power and the minimum power transmission power of the mth month and the d typical days are determined according to the following formulas:
Figure FDA0003503788510000048
Figure FDA0003503788510000049
wherein M isExLimiting the maximum power transmission power of the power-saving transmission channel;
Figure FDA00035037885100000410
the maximum transmitted power of the mth typical day in the mth month;
Figure FDA00035037885100000411
the minimum transmitted power for the mth typical day in the mth month; peakm,dPeak shaving rate for the d typical day of month m; peakmaxThe peak regulation rate upper limit is specified for the outsourcing electricity-selling protocol; peakminThe peak shaving rate lower limit specified for the outsourcing electricity-selling protocol; LoRam,dLoad rate for typical day of mth month, d; LoRamaxIs outsideA load rate limit value specified by a power purchase and sale protocol;
the various types of power supplies comprise wind power, hydroelectric power and thermal power;
the acquiring of the minimum generated power of each type of power source includes:
obtaining the average output of the wind power generation power in the mth month and the d-th typical daily peak period
Figure FDA00035037885100000412
Mean output during valley time
Figure FDA00035037885100000413
Obtaining the maximum output of the hydroelectric power generation power in the ith typical daily peak period of the mth month
Figure FDA00035037885100000414
And minimum output
Figure FDA00035037885100000415
Obtaining the maximum load of the d-th typical day valley period of the m-th month
Figure FDA0003503788510000051
Determining the minimum starting capacity of the thermal power generating unit under the mth typical day operation mode in the mth month according to the following formula
Figure FDA0003503788510000052
Figure FDA0003503788510000053
K is a starting identifier; h is the mark of the peak period; l is an identifier of a valley period;
Figure FDA0003503788510000054
is as followsThe thermal power limited ratio of the mth typical day of the m month, and S at the upper-standard position is an identifier of the thermal power limited ratio;
Figure FDA0003503788510000055
the spare capacity of the d typical day of the mth month, res is the identifier of spare;
the peak shaving influence assessment according to the exchange power range, the minimum power generation power and the load demand of the valley period of the whole day comprises the following steps:
when the condition shown in the following formula is met, determining that the peak regulation requirement of the thermal power generating unit exists:
Figure FDA0003503788510000056
wherein the content of the first and second substances,
Figure FDA0003503788510000057
the peak shaving depth is the basic peak shaving depth of the mth typical thermal power generating unit in the mth month;
if the condition shown in the following formula is satisfied for the delivered electric power, it is determined that there is a peak shaving demand:
Figure FDA0003503788510000058
determining that a peak shaver demand exists when the conditions shown in the following formula are satisfied:
Figure FDA0003503788510000059
determining the peak regulation demand minimum value of the mth typical day of the mth month according to the following formula:
Figure FDA00035037885100000510
wherein the content of the first and second substances,
Figure FDA00035037885100000511
the peak regulation demand minimum value of the d typical day of the m month;
determining the annual peak regulation demand minimum value according to the following formula:
Figure FDA00035037885100000512
wherein the content of the first and second substances,
Figure FDA00035037885100000513
all the months of the d-th typical day;
and (4) carrying out peak shaving influence evaluation according to the minimum value of the annual peak shaving demand.
5. A peak shaving influence evaluation apparatus for an outsourcing electricity sales annual decomposition scenario, comprising:
a processor, and a memory coupled to the processor;
the processor is used for calling and executing the computer program in the memory so as to execute the steps of the method according to any one of claims 1-3.
6. A storage medium, characterized in that a computer program is stored which, when executed, implements the steps of a method according to any one of claims 1 to 3.
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