CN103475000A - Off-peak monitoring method and system of orderly power utilization - Google Patents
Off-peak monitoring method and system of orderly power utilization Download PDFInfo
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- CN103475000A CN103475000A CN2013103646694A CN201310364669A CN103475000A CN 103475000 A CN103475000 A CN 103475000A CN 2013103646694 A CN2013103646694 A CN 2013103646694A CN 201310364669 A CN201310364669 A CN 201310364669A CN 103475000 A CN103475000 A CN 103475000A
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
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- Y—GENERAL 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
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Abstract
The invention discloses an off-peak monitoring method and an off-peak monitoring system of orderly power utilization. The method comprises the following steps: obtaining historical power data corresponding to a user metering point; determining reserved load of the user metering point through the historical power data; determining the load of the user metering point if the user metering point is not off-peak at the set moment through the power data during an on-peak period in the historical power data; determining off-peak load of the user metering point at the set moment according to the load of on-peak user metering point at set moment and the reserved load; determining actual off-peak load of the user metering point according to the load of the on-peak user metering point at the set moment and the actual load of the user metering point at the set moment; determining actual off-peak load rate of the user metering point at the set moment according to the actual off-peak load and the off-peak load; monitoring the user metering point according to the actual off-peak load rate and a preset threshold of the actual off-peak load rate, so that erroneous judgment on the off-peak execution condition in the off-peak monitoring process can be effectively avoided.
Description
Technical field
The present invention relates to the power technology field, particularly relate to a kind of avoid the peak hour method for supervising and system of ordered electric.
Background technology
Under the drive of rapid economic development, power consumption demand day by day, the electric power supply security problem becomes increasingly conspicuous, and the nervous problem of power supply and demand periodically occurs on a large scale, seasonal, period, structural short of electricity phenomenon long-term existence.If simple, rely on the scale of expanding investment, increase installed capacity to meet of short duration spike electricity consumption, not only will drop into huge power construction fund, and can cause due to the continuous decline of power equipment utilance sending out the power supply cost rising.And the monitoring of avoiding the peak hour of implementing effective ordered electric can reach the effect of peak load shifting, balanced load, not only improved the economy of operation of power networks, increased the reserve capacity of system simultaneously, be conducive to the safe and stable operation of electrical network.
The monitoring of avoiding the peak hour of ordered electric is mainly whether the supervisory user stoichiometric point has execution to avoid the peak hour, in the monitor procedure of avoiding the peak hour of ordered electric, how to calculate as far as possible exactly the load of avoiding the peak hour of user's stoichiometric point, thereby judge that whether user's stoichiometric point has execution to avoid the peak hour is a key problem, be directly connected to execution efficiency and the implementation effect of ordered electric work, even determined its win or lose, special change user's satisfaction produced to larger impact simultaneously.
Traditional judges that whether the user has the mode that initiatively execution is avoided the peak hour is Real-time Load and the predefined desired value height of comparison user stoichiometric point, if the Real-time Load of user's stoichiometric point is not higher than predefined desired value, judge that user's stoichiometric point initiatively carried out and avoided the peak hour, otherwise judgement user stoichiometric point is initiatively carried out and is avoided the peak hour, yet, predefined desired value is generally set or is set according to the capacity of applying to install that specially becomes the user by power supply station is unified, the actual electricity consumption situation that can't reflect user's stoichiometric point, thereby the avoid the peak hour erroneous judgement of situation produces wrong operation to user's stoichiometric point may to cause the ordered electric operational staff, bring adverse influence to user's activity in production, after being not easy to, ordered electric work carries out.
Summary of the invention
The object of the present invention is to provide a kind of avoid the peak hour method for supervising and system of ordered electric, can avoid the erroneous judgement to the implementation status of avoiding the peak hour.
The solution of the present invention is achieved through the following technical solutions:
A kind of method for supervising of avoiding the peak hour of ordered electric, comprise the steps:
Obtain the historical electricity consumption data that user's stoichiometric point is corresponding;
Determine the reservation load of this user's stoichiometric point by described historical electricity consumption data;
If determine that by the electricity consumption data during not avoiding the peak hour in described historical electricity consumption data described user's stoichiometric point is at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour;
Set can wrong load constantly according to the described load setting the described user's stoichiometric point of constantly not avoiding the peak hour and the described user's stoichiometric point of described reservation determination of power load described, described can mistake the load refer to that described user's stoichiometric point is by the load of avoiding the peak hour and can subdue;
Determine the actual load of avoiding the peak hour of described user's stoichiometric point at the described actual load of setting the moment according to described load and the described user's stoichiometric point in described historical electricity consumption data setting the described user's stoichiometric point of constantly not avoiding the peak hour;
According to described actual avoid the peak hour load with described can the described user's stoichiometric point of wrong determination of power load in the described actual load factor of avoiding the peak hour constantly of setting;
According to the described actual load factor of avoiding the peak hour, with the default actual load factor threshold value of avoiding the peak hour, described user's stoichiometric point is monitored.
A kind of supervisory control system of avoiding the peak hour of ordered electric comprises:
Data acquisition module, for obtaining the historical electricity consumption data that user's stoichiometric point is corresponding;
The first determination of power load module, for determining the reservation load of this user's stoichiometric point by described historical electricity consumption data;
The second determination of power load module, if determine that for the electricity consumption data by during not the avoiding the peak hour of described historical electricity consumption data described user's stoichiometric point is at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour;
The 3rd determination of power load module, for according to the described load setting the described user's stoichiometric point of constantly not avoiding the peak hour and the described user's stoichiometric point of described reservation determination of power load, described, setting can wrong load constantly, described can mistake the load refer to that described user's stoichiometric point is by the load of avoiding the peak hour and can subdue;
The 4th determination of power load module, for determining the actual load of avoiding the peak hour of described user's stoichiometric point according to the described load setting the described user's stoichiometric point of constantly not avoiding the peak hour and described user's stoichiometric point of described historical electricity consumption data at the described actual load of setting the moment;
The load factor of avoiding the peak hour determination module, for according to described actual avoid the peak hour load with described can the described user's stoichiometric point of wrong determination of power load in the described actual load factor of avoiding the peak hour constantly of setting;
Monitoring module, for being monitored described user's stoichiometric point with the default actual load factor threshold value of avoiding the peak hour according to the described actual load factor of avoiding the peak hour.
According to the solution of the present invention, it is to obtain historical electricity consumption data corresponding to user's stoichiometric point, determine the reservation load of this user's stoichiometric point based on these history electricity consumption data, if the electricity consumption data based on during not avoiding the peak hour in these history electricity consumption data determine that described user's stoichiometric point is at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour, again according to described load and the described user's stoichiometric point of described reservation determination of power load can wrong load in the described setting moment setting the described user's stoichiometric point of constantly not avoiding the peak hour, and determine the actual load of avoiding the peak hour of described user's stoichiometric point at the described actual load of setting the moment according to described load and the described user's stoichiometric point in described historical electricity consumption data setting the described user's stoichiometric point of constantly not avoiding the peak hour, according to described actual avoid the peak hour load with described can the described user's stoichiometric point of wrong determination of power load in the described actual load factor of avoiding the peak hour constantly of setting, according to the described actual load factor of avoiding the peak hour, with the default actual load factor threshold value of avoiding the peak hour, described user's stoichiometric point is monitored, owing to having determined can wrong loading of user's stoichiometric point based on historical electricity consumption data, the actual load factor etc. of avoiding the peak hour, the actual electricity consumption situation that has reflected user's stoichiometric point, can avoid the erroneous judgement to the implementation status of avoiding the peak hour, and systematically provided and can wrong load, the actual definite mode for the parameter of the monitoring of avoiding the peak hour such as load value and the actual load factor of avoiding the peak hour of avoiding the peak hour, determine that mode is convenient, improved the monitoring efficiency of avoiding the peak hour, the safe and stable operation that is conducive to electrical network.
The accompanying drawing explanation
The schematic flow sheet of the method for supervising embodiment that avoids the peak hour that Fig. 1 is ordered electric of the present invention;
The structural representation of the embodiment of supervisory control system that avoids the peak hour that Fig. 2 is ordered electric of the present invention;
The structural representation of another embodiment of supervisory control system that avoids the peak hour that Fig. 3 is ordered electric of the present invention.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the present invention is further elaborated, but implementation of the present invention is not limited to this.
Shown in Figure 1, be the schematic flow sheet of the method for supervising embodiment that avoids the peak hour of ordered electric of the present invention.As shown in Figure 1, the method for supervising of avoiding the peak hour of the ordered electric in the present embodiment comprises the steps:
Step S101: obtain the historical electricity consumption data that user's stoichiometric point is corresponding;
Obtaining of historical electricity consumption data can adopt the mode that can realize arbitrarily, for example, periodic obtain manner: set monitoring period T, obtain historical electricity consumption data corresponding to user's stoichiometric point one time every the T time, perhaps instruction triggers formula obtain manner: when receiving the data acquisition instruction, immediately obtain the historical electricity consumption data that user's stoichiometric point is corresponding, will not repeat one by one at this;
Step S102: by user's stoichiometric point, corresponding historical electricity consumption data are determined the reservation load of this user's stoichiometric point;
Retaining load refers to for ensureing the electricity consumption place person and the required minimum electrical power of property safety, user's stoichiometric point refers to the position that metering device should be installed, refer generally to specially become user's stoichiometric point, general corresponding one or two user's stoichiometric points of user, determine that the mode that retains load can be the mode that can realize arbitrarily, wherein, preferred embodiment a kind of: the minimum load by the described user's stoichiometric point in described historical electricity consumption data in the period of avoiding the peak hour of the last day of not avoiding the peak hour, during not avoiding the peak hour in the very first time section every day minimum load median of described user's stoichiometric point of period of avoiding the peak hour, during not avoiding the peak hour in the second time period every day the minimum load median of described user's stoichiometric point of period of avoiding the peak hour, during not avoiding the peak hour in the 3rd time period, the avoid the peak hour minimum load median weighted average of described user's stoichiometric point of period obtains the reservation load of this user's stoichiometric point every day, can determine by following formula:
P
R-L＝k
1×P
1+k
2×P
2+k
3×P
3+k
4×P
4
Wherein, P
r-Lrefer to retain load, P
1, P
2, P
3, P
4refer to respectively described user's stoichiometric point avoid the peak hour every day during minimum load, the described user's stoichiometric point of the last period of avoiding the peak hour of not avoiding the peak hour day are not avoided the peak hour in the very first time section minimum load median of described user's stoichiometric point of period, described user's stoichiometric point within the second time period, do not avoid the peak hour during every day avoid the peak hour the minimum load median of described user's stoichiometric point of period, described user's stoichiometric point within the 3rd time period, do not avoid the peak hour during every day the avoid the peak hour minimum load median weighted average of described user's stoichiometric point of period obtain the reservation load of this user's stoichiometric point, k
1, k
2, k
3, k
4be respectively P
1, P
2, P
3, P
4corresponding weight, and k
1+ k
2+ k
3+ k
4=1, k
1, k
2, k
3k
4value all between 0 to 1, in actual applications, k
1, k
2, k
3, k
4value can be arranged or be adjusted according to the load variations trend of user's stoichiometric point, each time period (very first time section, the second time period, the 3rd time period) also can be arranged according to actual needs, for example, very first time section can be set to last week, the second time period can be set to last month, and the 3rd time period can be set to last season or upper one year etc., if adopt the set-up mode of this time period, generally for the seasonal manufacturing enterprises such as air-conditioning equipment manufactory, k
1, k
2value generally larger, and k
3, k
4value generally less, adopt this mode to determine and retain load, on the one hand due to fetch data and all be based on historical data, consider user's actual electricity consumption situation, made the reservation load of determining more accurate, on the other hand, each data can directly be obtained from historical data, and do not need through other extra calculating, thereby also can improve and determine the efficiency that retains load, and then improve monitoring efficiency;
It should be noted that, the mode of the definite reservation load in the present embodiment is a kind of preferably execution mode, but also is not limited to this mode, for example, the mode of mean value that can also be by calculating the period minimum load of avoiding the peak hour every day in certain period is determined, at this, does not repeat one by one;
Step S103: if determine that by the electricity consumption data during not avoiding the peak hour in described historical electricity consumption data described user's stoichiometric point is at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour;
Set and refer to predefined avoiding the peak hour constantly constantly, for user's stoichiometric point Q, if described user's stoichiometric point refers at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour: supposition user stoichiometric point Q is setting the load of constantly not carrying out this user's stoichiometric point Q that avoids the peak hour, if determine, described user's stoichiometric point can be the mode that can realize arbitrarily at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour, wherein, preferred embodiment a kind of: the setting load constantly by the described user's stoichiometric point in described historical electricity consumption data in the last day of not avoiding the peak hour, set the median of load constantly during not avoiding the peak hour within the 4th time period, obtain described user's stoichiometric point at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour if set the median of load constantly during not avoiding the peak hour within the 5th time period, can determine by following formula:
P
Anls＝k
5×P
5+k
6×P
6+k
7×P
7
Wherein, P
anlsrefer to that user's stoichiometric point is at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour, P
5, P
6, P
7median, described user's stoichiometric point of described user's stoichiometric point setting load constantly during setting load, the described user's stoichiometric point constantly of the last day of not avoiding the peak hour do not avoided the peak hour within the 4th time period are set the median of the load in the moment, k during not avoiding the peak hour within the 5th time period respectively
5, k
6, k
7be respectively P
5, P
6, P
7corresponding weight, and k
5+ k
6+ k
7=1, k
5, k
6, k
7value all between 0 to 1, in actual applications, k
5, k
6, k
7value can be arranged or be adjusted according to the load variations trend of user's stoichiometric point, each time period (the 4th time period, the 5th time period) also can be arranged according to actual needs, for example, the 4th time period can be set to last week, the 5th time period can be set to last month, if adopt the set-up mode of this time period, generally for the seasonal manufacturing enterprises such as air-conditioning equipment manufactory, k
5, k
6value generally larger, and k
7value generally less, determine that described user's stoichiometric point is at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour if adopt this mode, on the one hand due to fetch data and all be based on historical data, considered user's actual electricity consumption situation, described user's stoichiometric point of determining if make is more accurate at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour, on the other hand, each data can directly be obtained from historical data, and do not need through other extra calculating, if thereby also can improve and determine the efficiency of described user's stoichiometric point at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour, and then raising monitoring efficiency,
It should be noted that, if the described user's stoichiometric point of determining in the present embodiment is a kind of preferably execution mode in the efficiency of the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour, but also be not limited to this mode, for example, can also determine in the mode of the mean value of setting load constantly by calculating user's stoichiometric point in certain period, not repeat them here;
Step S104: set can wrong load constantly according to the described load setting the described user's stoichiometric point of constantly not avoiding the peak hour and the described user's stoichiometric point of described reservation determination of power load described, described can mistake the load refer to that described user's stoichiometric point is by the load of avoiding the peak hour and can subdue;
Can determine and can wrong load by the difference of the load setting the described user's stoichiometric point of constantly not avoiding the peak hour and described reservation load in the present embodiment, be i.e. P
c-L=P
anls-P
r-L, wherein, P
c-Lrefer to and can wrong load;
Step S105: according to described load and the described user's stoichiometric point in described historical electricity consumption data setting the described user's stoichiometric point of constantly not avoiding the peak hour, determine the actual load of avoiding the peak hour of described user's stoichiometric point at the described actual load of setting the moment;
The actual load of avoiding the peak hour refers to that certain moment user's stoichiometric point is by the actual load of subduing of avoiding the peak hour, can determine actual load, the i.e. P of avoiding the peak hour in the described difference of setting actual load constantly by described load and the described user's stoichiometric point in described historical electricity consumption data setting the described user's stoichiometric point of constantly not avoiding the peak hour in the present embodiment
as-L=P
anls-P
a-L, wherein, P
as-Lrefer to the actual load of avoiding the peak hour, P
a-Lrefer to actual load;
Step S106: according to described actual avoid the peak hour load with described can the described user's stoichiometric point of wrong determination of power load in the described actual load factor of avoiding the peak hour constantly of setting;
The actual load factor of avoiding the peak hour generally refer to certain constantly user's stoichiometric point by the actual load of subduing of avoiding the peak hour account for can wrong load ratio, can determine the actual load factor of avoiding the peak hour, i.e. R=P with described ratio that can wrong load according to the described actual load of avoiding the peak hour in the present embodiment
as-L/ P
c-Lwherein, R refers to the actual load factor of avoiding the peak hour;
Step S107: with the default actual load factor threshold value of avoiding the peak hour, described user's stoichiometric point is monitored according to the described actual load factor of avoiding the peak hour;
Described user's stoichiometric point is monitored and obtained monitored results with the default actual load factor threshold value of avoiding the peak hour according to the described actual load factor of avoiding the peak hour, if the load factor of avoiding the peak hour actual is larger than the actual load factor threshold value of avoiding the peak hour, monitored results has been carried out and has been avoided the peak hour in setting for user's stoichiometric point constantly, if the load factor of avoiding the peak hour actual is less than the actual load factor threshold value of avoiding the peak hour, and monitored results is constantly carried out and avoided the peak hour in setting for user's stoichiometric point.
Accordingly, scheme according to above-described embodiment, it is to obtain historical electricity consumption data corresponding to user's stoichiometric point, determine the reservation load of this user's stoichiometric point based on these history electricity consumption data, if the electricity consumption data based on during not avoiding the peak hour in these history electricity consumption data determine that described user's stoichiometric point is at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour, again according to described load and the described user's stoichiometric point of described reservation determination of power load can wrong load in the described setting moment setting the described user's stoichiometric point of constantly not avoiding the peak hour, and determine the actual load of avoiding the peak hour of described user's stoichiometric point at the described actual load of setting the moment according to described load and the described user's stoichiometric point in described historical electricity consumption data setting the described user's stoichiometric point of constantly not avoiding the peak hour, according to described actual avoid the peak hour load with described can the described user's stoichiometric point of wrong determination of power load in the described actual load factor of avoiding the peak hour constantly of setting, according to the described actual load factor of avoiding the peak hour, with the default actual load factor threshold value of avoiding the peak hour, described user's stoichiometric point is monitored, owing to having determined can wrong loading of user's stoichiometric point based on historical electricity consumption data, the actual load factor etc. of avoiding the peak hour, the actual electricity consumption situation that has reflected user's stoichiometric point, can avoid the erroneous judgement to the implementation status of avoiding the peak hour, and systematically provided and can wrong load, the actual definite mode for the parameter of the monitoring of avoiding the peak hour such as load value and the actual load factor of avoiding the peak hour of avoiding the peak hour, determine that mode is convenient, improved the monitoring efficiency of avoiding the peak hour, the safe and stable operation that is conducive to electrical network.
In addition, real-time control for the ease of monitor staff and user to monitored results, therein in embodiment, can comprise step after above-mentioned step S107: be that the described actual load of avoiding the peak hour is less than actual avoiding the peak hour during the load factor threshold value at described comparative result, send alarm signal, wherein, the mode of sending alarm signal can adopt the existing mode that can realize arbitrarily, for example, send note prompting etc., do not repeat them here, the recipient of alarm signal can be the monitor staff, can be also user corresponding to described user's stoichiometric point.
According to the method for supervising of avoiding the peak hour of the ordered electric of the invention described above, the present invention also provides a kind of supervisory control system of avoiding the peak hour of ordered electric, below with regard to the embodiment of the supervisory control system of avoiding the peak hour of ordered electric of the present invention, is elaborated.
The structural representation of an embodiment of the supervisory control system of avoiding the peak hour of ordered electric of the present invention has been shown in Fig. 2.For convenience of explanation, only show the part relevant to the supervisory control system of avoiding the peak hour of ordered electric of the present invention in Fig. 2.
As shown in Figure 2, the supervisory control system of avoiding the peak hour of the ordered electric in the present embodiment, comprise data acquisition module 201, the first determination of power load module 202, the second determination of power load module 203, the 3rd determination of power load module 204, the 4th determination of power load module 205, the load factor of avoiding the peak hour determination module 206, monitoring module 207, wherein:
The first determination of power load module 202, for determining the reservation load of this user's stoichiometric point by described historical electricity consumption data;
The second determination of power load module 203, if determine that for the electricity consumption data by during not the avoiding the peak hour of described historical electricity consumption data described user's stoichiometric point is at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour;
The 3rd determination of power load module 204, for according to the described load setting the described user's stoichiometric point of constantly not avoiding the peak hour and the described user's stoichiometric point of described reservation determination of power load, described, setting can wrong load constantly, described can mistake the load refer to that described user's stoichiometric point is by the load of avoiding the peak hour and can subdue;
The 4th determination of power load module 205, for determining the actual load of avoiding the peak hour of described user's stoichiometric point according to the described load setting the described user's stoichiometric point of constantly not avoiding the peak hour and described user's stoichiometric point of described historical electricity consumption data at the described actual load of setting the moment;
The load factor of avoiding the peak hour determination module 206, for according to described actual avoid the peak hour load with described can the described user's stoichiometric point of wrong determination of power load in the described actual load factor of avoiding the peak hour constantly of setting;
Scheme according to above-described embodiment, due to based on historical electricity consumption data, determined user's stoichiometric point can wrong load, the actual load factor etc. of avoiding the peak hour, the actual electricity consumption situation that has reflected user's stoichiometric point, can avoid the erroneous judgement to the implementation status of avoiding the peak hour, and systematically having provided can wrong load, the actual definite mode for the parameter of the monitoring of avoiding the peak hour such as load value and the actual load factor of avoiding the peak hour of avoiding the peak hour, determine that mode is convenient, improved the monitoring efficiency of avoiding the peak hour, be conducive to the safe and stable operation of electrical network.
Therein in embodiment, as shown in Figure 3, the supervisory control system of avoiding the peak hour of ordered electric of the present invention, can also comprise alarm module 208, this alarm module 208 is for being less than actual avoiding the peak hour during the load factor threshold value at the described actual load of avoiding the peak hour, send alarm signal, adopt the mode in the present embodiment, be convenient to monitor staff, the user real-time control to monitored results.
Therein in embodiment, the first determination of power load module 202 can be by the described user's stoichiometric point in described historical electricity consumption data the minimum load in the last period of avoiding the peak hour of not avoiding the peak hour day, during not avoiding the peak hour in the very first time section every day minimum load median of described user's stoichiometric point of period of avoiding the peak hour, during not avoiding the peak hour within the second time period every day the minimum load median of described user's stoichiometric point of period of avoiding the peak hour, during not avoiding the peak hour within the 3rd time period, the avoid the peak hour minimum load median weighted average of described user's stoichiometric point of period obtains the reservation load of this user's stoichiometric point every day.
Therein in embodiment, if the second determination of power load module 203 by the described user's stoichiometric point in described historical electricity consumption data in last setting of not avoiding the peak hour day load constantly, set the median of load constantly during not avoiding the peak hour within the 4th time period, the median of setting load constantly within the 5th time period during not avoiding the peak hour obtains described user's stoichiometric point at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour.
The supervisory control system of avoiding the peak hour of ordered electric of the present invention is corresponding one by one with the method for supervising of avoiding the peak hour of ordered electric of the present invention, in the embodiment of the supervisory control system of avoiding the peak hour that the technical characterictic of setting forth at the embodiment of the method for supervising of avoiding the peak hour of above-mentioned ordered electric and beneficial effect thereof all are applicable to ordered electric, statement hereby.
The above embodiment has only expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.
Claims (8)
1. the method for supervising of avoiding the peak hour of an ordered electric, is characterized in that, comprises the steps:
Obtain the historical electricity consumption data that user's stoichiometric point is corresponding;
Determine the reservation load of this user's stoichiometric point by described historical electricity consumption data;
If determine that by the electricity consumption data during not avoiding the peak hour in described historical electricity consumption data described user's stoichiometric point is at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour;
Set can wrong load constantly according to the described load setting the described user's stoichiometric point of constantly not avoiding the peak hour and the described user's stoichiometric point of described reservation determination of power load described, described can mistake the load refer to that described user's stoichiometric point is by the load of avoiding the peak hour and can subdue;
Determine the actual load of avoiding the peak hour of described user's stoichiometric point at the described actual load of setting the moment according to described load and the described user's stoichiometric point in described historical electricity consumption data setting the described user's stoichiometric point of constantly not avoiding the peak hour;
According to described actual avoid the peak hour load with described can the described user's stoichiometric point of wrong determination of power load in the described actual load factor of avoiding the peak hour constantly of setting;
According to the described actual load factor of avoiding the peak hour, with the default actual load factor threshold value of avoiding the peak hour, described user's stoichiometric point is monitored.
2. the method for supervising of avoiding the peak hour of ordered electric according to claim 1, it is characterized in that, in the described step that also comprises after with the default actual load factor threshold value of avoiding the peak hour, described user's stoichiometric point being carried out to monitoring step according to the described actual load factor of avoiding the peak hour: described actual avoid the peak hour to load be less than actual avoiding the peak hour during the load factor threshold value, send alarm signal.
3. the method for supervising of avoiding the peak hour of ordered electric according to claim 1, it is characterized in that, the described historical electricity consumption data corresponding by user's stoichiometric point determine that the reservation load of this user's stoichiometric point comprises step: the minimum load by the described user's stoichiometric point in described historical electricity consumption data in the period of avoiding the peak hour of the last day of not avoiding the peak hour, during not avoiding the peak hour in the very first time section every day minimum load median of described user's stoichiometric point of period of avoiding the peak hour, during not avoiding the peak hour within the second time period every day the minimum load median of described user's stoichiometric point of period of avoiding the peak hour, during not avoiding the peak hour within the 3rd time period, the avoid the peak hour minimum load median weighted average of described user's stoichiometric point of period obtains the reservation load of this user's stoichiometric point every day.
4. the method for supervising of avoiding the peak hour of ordered electric according to claim 1, it is characterized in that, determine that by the electricity consumption data during not avoiding the peak hour in described historical electricity consumption data if described user's stoichiometric point comprises step at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour described: by the described user's stoichiometric point in described historical electricity consumption data at last setting load constantly of not avoiding the peak hour day, set the median of load constantly during not avoiding the peak hour within the 4th time period, obtain described user's stoichiometric point at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour if set the median of load constantly during not avoiding the peak hour within the 5th time period.
5. the supervisory control system of avoiding the peak hour of an ordered electric, is characterized in that, comprising:
Data acquisition module, for obtaining the historical electricity consumption data that user's stoichiometric point is corresponding;
The first determination of power load module, for determining the reservation load of this user's stoichiometric point by described historical electricity consumption data;
The second determination of power load module, if determine that for the electricity consumption data by during not the avoiding the peak hour of described historical electricity consumption data described user's stoichiometric point is at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour;
The 3rd determination of power load module, for according to the described load setting the described user's stoichiometric point of constantly not avoiding the peak hour and the described user's stoichiometric point of described reservation determination of power load, described, setting can wrong load constantly, described can mistake the load refer to that described user's stoichiometric point is by the load of avoiding the peak hour and can subdue;
The 4th determination of power load module, for determining the actual load of avoiding the peak hour of described user's stoichiometric point according to the described load setting the described user's stoichiometric point of constantly not avoiding the peak hour and described user's stoichiometric point of described historical electricity consumption data at the described actual load of setting the moment;
The load factor of avoiding the peak hour determination module, for according to described actual avoid the peak hour load with described can the described user's stoichiometric point of wrong determination of power load in the described actual load factor of avoiding the peak hour constantly of setting;
Monitoring module, for being monitored described user's stoichiometric point with the default actual load factor threshold value of avoiding the peak hour according to the described actual load factor of avoiding the peak hour.
6. the supervisory control system of avoiding the peak hour of ordered electric according to claim 5, is characterized in that, also comprises:
Alarm module, at the described actual load of avoiding the peak hour, being less than actual avoiding the peak hour during the load factor threshold value, send alarm signal.
7. the supervisory control system of avoiding the peak hour of ordered electric according to claim 5, it is characterized in that, described the first determination of power load module is the minimum load in the period of avoiding the peak hour of the last day of not avoiding the peak hour by the described user's stoichiometric point in described historical electricity consumption data, during not avoiding the peak hour in the very first time section every day minimum load median of described user's stoichiometric point of period of avoiding the peak hour, during not avoiding the peak hour within the second time period every day the minimum load median of described user's stoichiometric point of period of avoiding the peak hour, during not avoiding the peak hour within the 3rd time period, the avoid the peak hour minimum load median weighted average of described user's stoichiometric point of period obtains the reservation load of this user's stoichiometric point every day.
8. the supervisory control system of avoiding the peak hour of ordered electric according to claim 5, it is characterized in that, if described the second determination of power load module by the described user's stoichiometric point in described historical electricity consumption data in last setting of not avoiding the peak hour day load constantly, set the median of load constantly during not avoiding the peak hour within the 4th time period, the median of setting load constantly within the 5th time period during not avoiding the peak hour obtains described user's stoichiometric point at the load of setting the described user's stoichiometric point of constantly not avoiding the peak hour.
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