CN111524032B - Environment-friendly response quantification method and device based on enterprise electricity consumption data - Google Patents
Environment-friendly response quantification method and device based on enterprise electricity consumption data Download PDFInfo
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Abstract
The invention relates to an environment-friendly response quantification method and device based on enterprise power consumption data, wherein the quantification method comprises the following steps: s1: acquiring an enterprise historical daily power curve and an enterprise historical daily power curve; s2: preprocessing an enterprise historical daily power curve and an enterprise historical daily power curve to obtain an enterprise historical normal production power curve and an enterprise historical normal production power consumption curve; s3: calculating upper and lower limits of historical normal production power of the enterprise and upper and lower limits of historical normal production power consumption of the enterprise, and simultaneously calculating a control power reduction value; s4: and calculating the environmental protection response duration and the environmental protection response depth of the enterprise to finish the quantification of the environmental protection response of the enterprise. The method adopts the enterprise electricity utilization data to realize the monitoring of the enterprise environment-friendly response, and has convenient operation and low maintenance cost; meanwhile, the enterprise electricity utilization data is strong in real-time performance and high in accuracy; the problem of prior art can't carry out environmental protection management and control quantization calculation to actual production curve through enterprise's power consumption data is solved.
Description
Technical Field
The invention relates to the technical field of power grids, in particular to an environment-friendly response quantification method and device based on enterprise power utilization data.
Background
At present, the air pollution in China is very serious, the normal life and physical and mental health of people are damaged, the air pollution is gradually paid high attention by relevant government departments, the action plan of the blue-sky defense for three years is in compliance with the public expectation and the country, and in order to win the blue-sky defense, ecological environment systems in various places mainly adopt control measures such as production halt, production limit or alternate production of high-emission enterprises in heavily polluted weather, the pollutant discharge amount of pollution discharge enterprises is reduced, and the air quality is guaranteed.
In order to monitor the response condition of an enterprise to an environmental protection management and control instruction, the traditional method is to install terminal monitoring equipment at a main pollution discharge point of the enterprise or additionally install an electric energy metering device at a power supply point of main pollution discharge production equipment, so that the monitoring of production and pollution discharge of the enterprise is realized. The two monitoring modes both need to establish a data processing system independently, and meanwhile, the system maintenance cost is high, so that the method is not suitable for large-scale popularization and application to general industrial enterprises.
Under the condition that detection equipment is not added, in order to solve the implementation situation of the pollution enterprises on the environmental protection management and control measures, ecological environment systems in various regions generally select part of the pollution enterprises, and assign law enforcement personnel to carry out on-site supervision and inspection. Because the number of polluted enterprises is generally large, and law enforcement personnel can not realize full coverage, the existing mode has the disadvantages of low efficiency, narrow coverage and poor real-time performance, and pollution discharge enterprises which break production are difficult to find in time, thereby influencing the effective improvement of air quality. At present, environmental protection management and control response judgment measures with wide coverage, high efficiency and low investment are urgently needed.
Disclosure of Invention
The invention provides an environment-friendly response quantification method based on enterprise power consumption data, and solves the problem that in the prior art, environment-friendly management, control and quantification calculation cannot be carried out on an actual production curve through the enterprise power consumption data.
The invention is realized by the following technical scheme:
an environmental protection response quantification method based on enterprise electricity utilization data comprises the following steps:
s1: acquiring an enterprise historical daily power curve and an enterprise historical daily power curve;
s2: preprocessing the enterprise historical daily power curve in the step S1 to obtain an enterprise historical normal production power curve; preprocessing the enterprise historical daily electricity consumption curve in the step S1 to obtain an enterprise historical normal production electricity consumption curve;
s3: calculating the upper limit and the lower limit of the historical normal production power of the enterprise and the upper limit and the lower limit of the historical normal production power consumption of the enterprise according to the historical normal production power curve of the enterprise and the historical normal production power consumption curve of the enterprise, and calculating a control power reduction value according to the upper limit and the lower limit of the historical normal production power of the enterprise;
s4: calculating the environmental protection response time length and the environmental protection response depth of the enterprise according to the upper and lower limits of the historical normal production power of the enterprise, the upper and lower limits of the historical normal production power consumption of the enterprise and the reduction value of the control power, and completing the quantification of the environmental protection response of the enterprise;
in the technical scheme, an enterprise historical daily power curve and an enterprise historical daily power curve are obtained through a power grid enterprise power utilization information acquisition system; the enterprise historical daily power curve is a set of daily power curves of an enterprise in one year; the enterprise historical daily electricity consumption curve is a curve of daily electricity consumption of an enterprise in one year; for historical data of an enterprise in one year, the power consumption information and the power consumption information under normal production of the enterprise are difficult to directly observe, so that the production power and the production power consumption of the enterprise under abnormal conditions can be eliminated by preprocessing an enterprise historical daily power curve and an enterprise historical daily power consumption curve, and an enterprise historical normal production power curve and an enterprise historical normal production power consumption curve are obtained; according to the historical normal production power curve of the enterprise and the historical normal production power consumption curve of the enterprise, the upper limit and the lower limit of the historical normal production power consumption of the enterprise and a control power reduction value can be calculated, wherein the control power reduction value is related to the power fluctuation range of the historical normal production of the enterprise; finally, calculating the environmental protection response duration of the enterprise according to the upper and lower limits of the historical normal production power of the enterprise, the upper and lower limits of the historical normal production power consumption of the enterprise and the control power reduction value, and meanwhile, obtaining the environmental protection response depth through fuzzy calculation; through this technical scheme, can quantify the actual production power curve of enterprise through enterprise historical power consumption data, use the long and environmental protection response depth of enterprise environmental protection response to realize the judgement to enterprise environmental protection management and control degree of response.
As a further improvement of the present invention, the step of preprocessing the historical daily power curve of the enterprise in step S1 to obtain a normal production power curve of the historical enterprise specifically includes the following steps:
s101: marking double-holidays and legal holidays in the historical daily power curve of the enterprise, and screening out power curves corresponding to the double-holidays and the legal holidays;
s102: marking the date subjected to control in the power curve processed in the step S101, and screening out the power curve corresponding to the date subjected to control;
s103: marking the date of production stoppage or production limitation in the theoretical normal production date in the power curve processed in the step S102, and screening out the power curve corresponding to the date of production stoppage or production limitation to obtain the historical normal production power curve of the enterprise, wherein the theoretical normal production date refers to all dates except the double-holiday period, legal holiday date and the controlled date;
in the technical scheme, in holidays, an enterprise is generally in an abnormal production mode, so that power curves corresponding to a double-holiday period and a legal holiday period need to be removed from historical daily power curves of the enterprise; in the working day period, the polluted weather may occur, and the environmental protection system can make control measures for the enterprise, so that the enterprise is in an abnormal production state in the working day period, and therefore a power curve corresponding to the controlled date needs to be screened out; during the non-control period of the working day, the enterprise stops production or limits production due to self maintenance and the like, so that a power curve corresponding to the date of the stop production or the limit production needs to be screened out, and finally the historical normal production power curve of the enterprise is obtained.
Further, the step of preprocessing the enterprise historical daily electricity consumption curve in the step S1 to obtain an enterprise historical normal production electricity consumption curve specifically includes the following steps:
s201: marking the double-holiday and legal holiday in the historical daily electricity curve of the enterprise, and screening out daily electricity data corresponding to the double-holiday and the legal holiday;
s202: marking the date subjected to control in the daily electricity consumption curve processed in the step S201, and screening out the daily electricity consumption data corresponding to the date subjected to control;
s203: marking the date of production stoppage or production limitation in the theoretical normal production date in the daily electricity quantity curve processed in the step S202, and screening out the daily electricity quantity data corresponding to the date of production stoppage or production limitation, wherein the theoretical normal production date is all dates except the double-break date, the legal holiday date and the date under control;
s204: taking a median of the daily electricity consumption data in the daily electricity consumption curve processed in the step S203, and screening out data with daily electricity consumption less than the median to obtain an enterprise historical normal production electricity consumption curve;
in the technical scheme, in holidays, an enterprise is generally in an abnormal production mode, so daily electricity consumption data corresponding to a double-holiday period and a legal holiday period need to be removed from a historical daily electricity consumption curve of the enterprise; in a working day period, the weather may be polluted, and the environmental protection system can make control measures for the enterprise, so that the enterprise is in an abnormal production state in the working day period, and therefore, the daily electricity quantity data corresponding to the controlled date needs to be screened out; during the non-control period of the working day, the enterprise can stop production or limit production due to self maintenance and the like, and therefore daily electricity quantity data corresponding to the date of the stop production or the limit production need to be screened out.
Further, the upper and lower limits of the historical normal production power of the computing enterprise are specifically:
Pt,max＝Max(Phistory, t) (1)
Pt,min＝Min(PHistory, t) (2)
Wherein, Pt,maxAnd Pt,minRespectively the upper limit and the lower limit, P, of the historical normal production power of the enterprise at the moment tHistory, tAnd taking all power values at the time t in the normal production power data of the enterprise history, wherein the time t is 1,2, … and 24.
Further, the upper and lower limits of the historical normal production power consumption of the computing enterprise are specifically:
according to the historical normal production power consumption curve of the enterprise, selecting the maximum value in the historical normal production power consumption curve of the enterprise as the upper limit of the historical normal production power consumption of the enterprise, and selecting the minimum value in the historical normal production power consumption curve of the enterprise as the lower limit of the historical normal production power consumption of the enterprise.
Further, the calculating the control power reduction value according to the upper and lower limits of the historical normal production power of the enterprise specifically includes:
controlling power down value N% -enterprise historical normal production power upper limit-enterprise historical normal production power lower limit (3)
Where the value of N is determined by the nature of the enterprise.
In the technical scheme, the power fluctuation range of normal production of the enterprise can be obtained according to the upper limit and the lower limit of the normal production power of the enterprise, the power fluctuation range of normal production of each enterprise is determined by the property of the enterprise, the production characteristics of the enterprise can be reflected, and the power reduction value between normal production and yield limit of the enterprise can be defined.
Further, the calculating of the environmental protection response duration and the environmental protection response depth of the enterprise specifically includes the following steps:
s301: if the daily electricity consumption of the enterprise is larger than the lower limit of the historical normal production electricity consumption of the enterprise, the environmental protection response time length of the enterprise is 0, the environmental protection response depth is 0, and the enterprise environmental protection response quantification is completed; otherwise, go to step S302;
s302: for the time t, t is 1,2, …,24, if the actual production power of the enterprise at the time t is less than the lower limit of the historical normal production power of the enterprise at the corresponding time, the environmental protection response time length at the time t is 1, and the environmental protection response depth at the time t is obtained by fuzzy calculation:
wherein the value of N is determined by the nature of the enterprise; if the actual production power of the enterprise at the time t is equal to or greater than the lower limit of the historical normal production power of the enterprise at the corresponding time, the environmental protection response time at the time t is 0, and the environmental protection response depth at the time t is 0;
s303: according to the calculation result of the step S302, calculating the environmental protection response duration and the environmental protection response depth of the enterprise:
enterprise response time ═ Σ t moment environmental protection response time (5)
Wherein t is 1,2, …, 24.
Further, the actual production power of the enterprise at the time t is the power of the enterprise with the production limit of 60% at the time t:
Pyield limit of 60%, t＝PLower limit, t-(PUpper limit, t-PLower limit, t) (7)
Wherein, PYield limit of 60%, tThe power P after the enterprise's production limit is 60% at the time tUpper limit, tIs the upper limit of the historical normal production power of the enterprise at the moment t, PLower limit, tAnd t is the lower limit of the historical normal production power of the enterprise at the time t, and t is 1,2, … and 24.
Furthermore, the invention provides an environment-friendly response quantification device based on enterprise power consumption data, which comprises an acquisition module, a preprocessing module, a parameter calculation module and an environment-friendly response calculation module;
the acquisition module is used for acquiring an enterprise historical daily power curve and an enterprise historical daily electric quantity curve;
the preprocessing module is used for preprocessing the acquired historical daily power curve of the enterprise to obtain a historical normal production power curve of the enterprise; preprocessing the acquired historical daily electricity consumption curve of the enterprise to obtain a historical normal production electricity consumption curve of the enterprise;
the parameter calculation module is used for calculating the upper limit and the lower limit of the historical normal production power of the enterprise and the upper limit and the lower limit of the historical normal production power consumption of the enterprise according to the historical normal production power curve of the enterprise and the historical normal production power consumption curve of the enterprise, and calculating a control power reduction value according to the upper limit and the lower limit of the historical normal production power of the enterprise;
the environment-friendly response calculation module is used for calculating the environment-friendly response time length and the environment-friendly response depth of the enterprise according to the upper limit and the lower limit of the historical normal production power of the enterprise, the upper limit and the lower limit of the historical normal production power consumption of the enterprise and the control power reduction value.
Further, the preprocessing module further comprises:
the holiday screening module is used for receiving the enterprise historical daily power curve or the enterprise historical daily electric quantity curve sent by the obtaining module, marking the double holidays and legal holidays in the enterprise historical daily power curve and the enterprise historical daily electric quantity curve, and screening out the power curves or daily electric quantity data corresponding to the double holidays and the legal holidays;
the control screening module is used for marking the date subjected to control in the power curve or the power consumption curve processed by the holiday screening module and screening out the power curve or daily power consumption data corresponding to the date subjected to control;
the maintenance day screening module is used for marking the date of production halt or production limit in the theoretical normal production date in the power curve or the power consumption curve processed by the control screening module, screening the power curve or the daily power consumption data corresponding to the date of production halt or production limit to obtain an enterprise historical normal production power curve or an enterprise historical normal production power consumption curve, and sending the curve to the parameter calculating module; wherein the theoretical normal production date refers to all dates except for the double-holiday period, the legal holiday date and the regulated date.
In summary, the gain effect of the invention is: the monitoring of enterprise environment-friendly response can be realized only by adopting the power consumption data of the polluted enterprise provided by the national power grid company without additionally installing terminal monitoring or measuring equipment, the operation is convenient, and the maintenance cost is low; the real-time performance and the accuracy of the power consumption data of the polluted enterprises are high, and the real-time performance and the accuracy of the judgment of the environment-friendly management and control response degree based on the power consumption data of the enterprises are high; the national power grid can provide the power consumption data of all pollution enterprises, the coverage is wide, the judgment efficiency of the environment-friendly control response degree is high, and the problem that the environmental-friendly control quantitative calculation cannot be carried out on an actual production curve through the power consumption data of the enterprises in the prior art is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 is a schematic diagram of an enterprise historical daily power curve in accordance with the present invention;
FIG. 3 is a graph illustrating historical daily electricity consumption of an enterprise according to the present invention;
FIG. 4 is a schematic diagram illustrating the preprocessing of historical daily power curves of an enterprise according to the present invention;
FIG. 5 is a diagram illustrating a graph preprocessing of historical daily electricity consumption of an enterprise according to the present invention;
FIG. 6 is a schematic diagram of the upper and lower limits of the historical normal production power of an enterprise according to the present invention;
FIG. 7 is a schematic diagram of a daily power curve for an enterprise with a 60% limit of production according to the present invention;
fig. 8 is a test graph of four different control responses according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not used as limitations of the present invention.
Example 1:
as shown in fig. 1, an environmental protection response quantification method based on enterprise electricity consumption data includes the following steps:
s1: acquiring an enterprise historical daily power curve shown in fig. 2 and an enterprise historical daily power curve shown in fig. 3;
s2: preprocessing the enterprise historical daily power curve in the step S1 to obtain an enterprise historical normal production power curve; preprocessing the enterprise historical daily electricity consumption curve in the step S1 to obtain an enterprise historical normal production electricity consumption curve;
s3: calculating the upper limit and the lower limit of the historical normal production power of the enterprise and the upper limit and the lower limit of the historical normal production power consumption of the enterprise according to the historical normal production power curve of the enterprise and the historical normal production power consumption curve of the enterprise, and calculating a control power reduction value according to the upper limit and the lower limit of the historical normal production power of the enterprise;
s4: and calculating the environmental protection response duration and the environmental protection response depth of the enterprise according to the upper and lower limits of the historical normal production power of the enterprise, the upper and lower limits of the historical normal production power consumption of the enterprise and the control power reduction value, and finishing the quantification of the environmental protection response of the enterprise.
Preprocessing the enterprise historical daily power curve in the step S1 to obtain an enterprise historical normal production power curve specifically includes the following steps:
s101: marking double-holidays and legal holidays in the historical daily power curve of the enterprise, and screening out power curves corresponding to the double-holidays and the legal holidays;
s102: marking the date subjected to control in the power curve processed in the step S101, and screening out the power curve corresponding to the date subjected to control;
s103: and marking the production stopping or production limiting date in the theoretical normal production date in the power curve processed in the step S102, and screening out the power curve corresponding to the production stopping or production limiting date to obtain the historical normal production power curve of the enterprise, wherein the theoretical normal production date refers to all dates except the double-holiday period, legal holiday date and the controlled date.
The step of preprocessing the enterprise historical daily electricity consumption curve in the step S1 to obtain an enterprise historical normal production electricity consumption curve specifically includes the following steps:
s201: marking the double-holiday and legal holiday in the historical daily electricity curve of the enterprise, and screening out daily electricity data corresponding to the double-holiday and the legal holiday;
s202: marking the date subjected to control in the daily electricity consumption curve processed in the step S201, and screening out the daily electricity consumption data corresponding to the date subjected to control;
s203: marking the date of production stoppage or production limitation in the theoretical normal production date in the daily electricity quantity curve processed in the step S202, and screening out the daily electricity quantity data corresponding to the date of production stoppage or production limitation, wherein the theoretical normal production date is all dates except the double-break date, the legal holiday date and the date under control;
s204: and (4) taking a median of the daily electricity consumption data in the daily electricity consumption curve processed in the step (S203), and screening out data with daily electricity consumption less than the median to obtain an enterprise historical normal production electricity consumption curve.
The upper and lower limits of the historical normal production power of the computing enterprise are specifically as follows:
Pt,max＝Max(Phistory, t) (1)
Pt,min＝Min(PHistory, t) (2)
Wherein, Pt,maxAnd Pt,minRespectively the upper limit and the lower limit, P, of the historical normal production power of the enterprise at the moment tHistory, tAnd taking all power values at the time t in the normal production power data of the enterprise history, wherein the time t is 1,2, … and 24.
The upper and lower limits of the historical normal production power consumption of the computing enterprise are specifically as follows:
according to the historical normal production power consumption curve of the enterprise, selecting the maximum value in the historical normal production power consumption curve of the enterprise as the upper limit of the historical normal production power consumption of the enterprise, and selecting the minimum value in the historical normal production power consumption curve of the enterprise as the lower limit of the historical normal production power consumption of the enterprise.
The calculating of the control power reduction value according to the upper and lower limits of the historical normal production power of the enterprise is specifically as follows:
controlling power down value N% -enterprise historical normal production power upper limit-enterprise historical normal production power lower limit (3)
Where the value of N is determined by the nature of the enterprise.
The method for calculating the environmental protection response duration and the environmental protection response depth of the enterprise specifically comprises the following steps:
s301: if the daily electricity consumption of the enterprise is larger than the lower limit of the historical normal production electricity consumption of the enterprise, the environmental protection response time length of the enterprise is 0, the environmental protection response depth is 0, and the enterprise environmental protection response quantification is completed; otherwise, go to step S302;
s302: for the time t, t is 1,2, …,24, if the actual production power of the enterprise at the time t is less than the lower limit of the historical normal production power of the enterprise at the corresponding time, the environmental protection response time length at the time t is 1, and the environmental protection response depth at the time t is obtained by fuzzy calculation:
wherein the value of N is determined by the nature of the enterprise; if the actual production power of the enterprise at the time t is equal to or greater than the lower limit of the historical normal production power of the enterprise at the corresponding time, the environmental protection response time at the time t is 0, and the environmental protection response depth at the time t is 0;
s303: according to the calculation result of the step S302, calculating the environmental protection response duration and the environmental protection response depth of the enterprise:
enterprise response time ═ Σ t moment environmental protection response time (5)
Wherein t is 1,2, …, 24.
Further, the actual production power of the enterprise at the time t is the power of the enterprise with the production limit of 60% at the time t:
Pyield limit of 60%, t＝PLower limit, t-(PUpper limit, t-PLower limit, t) (7)
Wherein, PYield limit of 60%, tThe power P after the enterprise's production limit is 60% at the time tUpper limit, tIs the upper limit of the historical normal production power of the enterprise at the moment t, PLower limit, tAnd t is the lower limit of the historical normal production power of the enterprise at the time t, and t is 1,2, … and 24.
The enterprise historical daily power curve shown in fig. 2 and the enterprise historical daily power curve shown in fig. 3 are obtained by a power grid enterprise power consumption information acquisition system; the enterprise historical daily power curve is a set of daily power curves of an enterprise in one year; the enterprise historical daily electricity consumption curve is a curve of daily electricity consumption of an enterprise in one year; for historical data of an enterprise in one year, power consumption power information and power consumption information of the enterprise under normal production are difficult to directly observe, so that the historical daily power curve of the enterprise and the historical daily power consumption curve of the enterprise need to be preprocessed, the production power and the production power consumption of the enterprise under abnormal conditions can be eliminated, and the historical normal production power curve of the enterprise and the historical normal production power consumption curve of the enterprise are obtained; according to the historical normal production power curve of the enterprise and the historical normal production power consumption curve of the enterprise, the upper limit and the lower limit of the historical normal production power consumption of the enterprise and a control power reduction value can be calculated, wherein the control power reduction value is related to the power fluctuation range of the historical normal production of the enterprise; finally, calculating the environmental protection response duration of the enterprise according to the upper and lower limits of the historical normal production power of the enterprise, the upper and lower limits of the historical normal production power consumption of the enterprise and the control power reduction value, and meanwhile, obtaining the environmental protection response depth through fuzzy calculation; according to the invention, the actual production power curve of an enterprise can be quantized through the historical electricity utilization data of the enterprise, and the environment-friendly control response degree of the enterprise can be judged by using the environment-friendly response time length and the environment-friendly response depth of the enterprise.
As shown in fig. 4, on holidays, the enterprise is generally in an abnormal production mode, and therefore power curves corresponding to double holidays and legal holidays need to be removed from the enterprise historical daily power curves; in the working day period, pollution weather may occur, and the environmental protection system can make control measures for the enterprise, so that the working day period of the enterprise is in an abnormal production state, and therefore a power curve corresponding to the controlled date needs to be screened out; during the non-control period of the working day, the enterprise stops production or limits production due to self maintenance and the like, so that a power curve corresponding to the date of the stop production or the limit production needs to be screened out, and finally a historical normal production power curve of the enterprise is obtained. The invention also adopts a daily electricity quantity median method to screen normal production data, and through calculation, the daily electricity quantity median not controlled by the working days of the year is 20.4793pu, and the daily electricity quantity greater than 20.4793pu is the current normal production data.
As shown in fig. 5, on holidays, the enterprise is generally in an abnormal production mode, and therefore daily power data corresponding to double holidays and legal holidays need to be removed from the enterprise historical daily power curve; in a working day period, the weather may be polluted, and the environmental protection system can make control measures on an enterprise to cause that the enterprise is in an abnormal production state in the working day period, so that the daily electricity quantity data corresponding to the controlled date needs to be screened out; during the period that the working day is not controlled, the enterprise can stop production or limit production due to self-maintenance and the like, and therefore daily electricity quantity data corresponding to the date of the stop production or the limit production need to be screened out.
As shown in fig. 6, according to the formula:
Pt,max＝Max(Phistory, t) (1)
Pt,min＝Min(PHistory, t) (2)
For each moment, comparing the power values of each enterprise historical normal production power curve at the moment, selecting the maximum value as the upper limit value of the moment, and comparing the power values of each enterprise historical normal production power curve at the moment, selecting the minimum value as the lower limit value of the moment; thus, an upper and lower limit curve of the historical normal production power of the enterprise is obtained.
The power fluctuation range of normal production of the enterprise can be obtained according to the upper and lower limits of normal production power of the enterprise, the power fluctuation range of normal production of each enterprise is determined by the property of the enterprise and can reflect the production characteristics of the enterprise, and the power reduction value between normal production and yield limit of the enterprise can be defined.
As shown in fig. 7, according to the formula:
Pyield limit of 60%, t＝PLower limit, t-(PUpper limit, t-PLower limit, t) (7)
Obtaining the power value of the enterprise after the enterprise has 60% of the limited yield at the time t; since t is 1,2, …,24, the enterprise limit 60% power curve can be obtained.
Example 2:
as shown in fig. 8, to verify the effectiveness of the present invention, four different enterprise electricity usage power curves during the governing period were tested; FIG. 8 includes four curved power curves, an upper limit curve and a lower limit curve for the historical normal production power of the enterprise, and an enterprise 60% limited power curve.
For the production test curve 1, the power consumption of the enterprise is between the upper and lower limits of the historical normal production power, and the daily power consumption of the enterprise is greater than the lower limit of the historical normal production daily power consumption of the enterprise, so that for the production test curve 1, the environmental protection response time of the enterprise is 0 hour, and the environmental protection response depth is 0.
For the production test curve 2, the power consumption of the enterprise is located between the upper limit and the lower limit of the historical normal production power of the enterprise at 3 moments, and the daily power consumption is smaller than the lower limit of the historical normal production daily power consumption, so that the environmental protection response time of the enterprise is 21 hours, through fuzzy logic calculation, the total environmental protection response depth of the enterprise is 4.6247 in the 21 hours, and the response depth of the production test curve 2 is 0.1927.
For the production test curve 3, the power consumption of the enterprise is 24 times below the lower limit of the historical normal production power of the enterprise, and the daily power consumption is smaller than the lower limit of the historical normal production daily power consumption, so that the environmental protection response time of the enterprise is 24 hours, through fuzzy logic calculation, the total environmental protection response depth of the enterprise is 22.9518 in the 24 hours, and the response depth of the production test curve 3 is 0.9563.
For the production test curve 4, the power consumption of the enterprise in the first 8 hours is between the upper limit and the lower limit of the historical normal production power of the enterprise, and the power consumption of the enterprise in the last 16 hours is lower than the lower limit of the historical normal production power of the enterprise, so that the environmental protection response time of the enterprise is 16 hours, and through fuzzy calculation, the total environmental protection response depth of the enterprise in the 16 hours is 16.0316, and the response depth of the production test curve 4 is 0.668.
Example 3:
the invention provides an environment-friendly response quantification device based on enterprise power consumption data, which comprises an acquisition module, a preprocessing module, a parameter calculation module and an environment-friendly response calculation module, wherein the acquisition module is used for acquiring the power consumption data of an enterprise;
the acquisition module is used for acquiring an enterprise historical daily power curve and an enterprise historical daily electric quantity curve;
the preprocessing module is used for preprocessing the acquired historical daily power curve of the enterprise to obtain a historical normal production power curve of the enterprise; preprocessing the acquired historical daily electricity consumption curve of the enterprise to obtain a historical normal production electricity consumption curve of the enterprise;
the parameter calculation module is used for calculating the upper limit and the lower limit of the historical normal production power of the enterprise and the upper limit and the lower limit of the historical normal production power consumption of the enterprise according to the historical normal production power curve of the enterprise and the historical normal production power consumption curve of the enterprise, and calculating a control power reduction value according to the upper limit and the lower limit of the historical normal production power of the enterprise;
the environment-friendly response calculation module is used for calculating the environment-friendly response time length and the environment-friendly response depth of the enterprise according to the upper limit and the lower limit of the historical normal production power of the enterprise, the upper limit and the lower limit of the historical normal production power consumption of the enterprise and the control power reduction value.
The preprocessing module further comprises:
the holiday screening module is used for receiving the enterprise historical daily power curve or the enterprise historical daily electric quantity curve sent by the obtaining module, marking the double holidays and legal holidays in the enterprise historical daily power curve and the enterprise historical daily electric quantity curve, and screening out the power curves or daily electric quantity data corresponding to the double holidays and the legal holidays;
the control screening module is used for marking the date subjected to control in the power curve or the power consumption curve processed by the holiday screening module and screening out the power curve or daily power consumption data corresponding to the date subjected to control;
the maintenance day screening module is used for marking the date of production halt or production limit in the theoretical normal production date in the power curve or the power consumption curve processed by the control screening module, screening the power curve or the daily power consumption data corresponding to the date of production halt or production limit to obtain an enterprise historical normal production power curve or an enterprise historical normal production power consumption curve, and sending the curve to the parameter calculating module; wherein the theoretical normal production date refers to all dates except for the double-holiday period, the legal holiday date and the regulated date.
In the prior art, in order to monitor the response condition of an enterprise to an environmental protection management and control instruction, terminal monitoring equipment is usually arranged at the main pollution discharge point of the enterprise, or an electric energy metering device is additionally arranged at the power supply point of main pollution discharge production equipment, so that the monitoring of the production and the pollution discharge of the enterprise is realized, the system maintenance cost is high, and the system is not suitable for large-scale popularization and application to general industrial enterprises; under the condition of not increasing detection equipment, law enforcement personnel are assigned to carry out on-site supervision and inspection, so that the efficiency is low, and the coverage is narrow; according to the invention, terminal monitoring or measuring equipment is not required to be additionally installed, and the monitoring of enterprise environment-friendly response can be realized only by adopting the power consumption data of the polluted enterprises provided by the national power grid company, so that the operation is convenient, and the maintenance cost is low; the real-time performance and the accuracy of the power consumption data of the polluted enterprises are high, and the real-time performance and the accuracy of the judgment of the environment-friendly management and control response degree based on the power consumption data of the enterprises are high; the national power grid can provide the power consumption data of all pollution enterprises, the coverage is wide, the judgment efficiency of the environment-friendly control response degree is high, and the problem that the environmental-friendly control quantitative calculation cannot be carried out on an actual production curve through the power consumption data of the enterprises in the prior art is solved.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (8)
1. An environment-friendly response quantification method based on enterprise electricity utilization data is characterized by comprising the following steps:
s1: acquiring an enterprise historical daily power curve and an enterprise historical daily power curve;
s2: preprocessing the enterprise historical daily power curve in the step S1 to obtain an enterprise historical normal production power curve; preprocessing the enterprise historical daily electricity consumption curve in the step S1 to obtain an enterprise historical normal production electricity consumption curve;
s3: calculating the upper limit and the lower limit of the historical normal production power of the enterprise and the upper limit and the lower limit of the historical normal production power consumption of the enterprise according to the historical normal production power curve of the enterprise and the historical normal production power consumption curve of the enterprise, and calculating a control power reduction value according to the upper limit and the lower limit of the historical normal production power of the enterprise;
s4: calculating the environmental protection response duration and the environmental protection response depth of the enterprise according to the upper and lower limits of the historical normal production power of the enterprise, the upper and lower limits of the historical normal production power consumption of the enterprise and the control power reduction value, and completing the quantification of the environmental protection response of the enterprise;
wherein: the historical normal production power curve of the enterprise is a power curve corresponding to the double-holiday period and the legal holiday date, the controlled date and the shutdown or production limit date which are removed from the historical daily power curve of the enterprise, and the historical normal production power consumption curve of the enterprise is a power curve corresponding to the double-holiday period and the legal holiday date, the controlled date and the shutdown or production limit date which are removed from the historical daily power consumption curve of the enterprise;
the specific steps of calculating the control power reduction value according to the upper limit and the lower limit of the historical normal production power of the enterprise are as follows: controlling a power drop value N ═ upper limit of historical normal production power of the enterprise-lower limit of historical normal production power of the enterprise, wherein the value of N is determined by the property of the enterprise;
the method for calculating the environmental protection response duration and the environmental protection response depth of the enterprise specifically comprises the following steps:
s301: if the daily electricity consumption of the enterprise is larger than the lower limit of the historical normal production electricity consumption of the enterprise, the environmental protection response time length of the enterprise is 0, the environmental protection response depth is 0, and the enterprise environmental protection response quantification is completed; otherwise, go to step S302;
s302: for the time t, t is 1,2, …,24, if the actual production power of the enterprise at the time t is less than the lower limit of the historical normal production power of the enterprise at the corresponding time, the environmental protection response time length at the time t is 1, and the environmental protection response depth at the time t is obtained by fuzzy calculation:
wherein the value of N is determined by the nature of the enterprise; if the actual production power of the enterprise at the time t is equal to or greater than the lower limit of the historical normal production power of the enterprise at the corresponding time, the environmental protection response time at the time t is 0, and the environmental protection response depth at the time t is 0;
s303: according to the calculation result of the step S302, calculating the environmental protection response duration and the environmental protection response depth of the enterprise:
enterprise response time ═ Σ t moment environmental protection response time (5)
Wherein t is 1,2, …, 24.
2. The method for quantifying environmental protection responses based on enterprise electricity consumption data according to claim 1, wherein the step of preprocessing the enterprise historical daily power curve in the step S1 to obtain the enterprise historical normal production power curve specifically comprises the steps of:
s101: marking double-holidays and legal holidays in the historical daily power curve of the enterprise, and screening out power curves corresponding to the double-holidays and the legal holidays;
s102: marking the date subjected to control in the power curve processed in the step S101, and screening out the power curve corresponding to the date subjected to control;
s103: and marking the production stopping or production limiting date in the theoretical normal production date in the power curve processed in the step S102, and screening out the power curve corresponding to the production stopping or production limiting date to obtain the historical normal production power curve of the enterprise, wherein the theoretical normal production date refers to all dates except the double-holiday period, legal holiday date and the controlled date.
3. The method for quantifying environment-friendly response based on the enterprise electricity consumption data as claimed in claim 1, wherein the step of preprocessing the enterprise historical daily electricity consumption curve in the step S1 to obtain the enterprise historical normal production electricity consumption curve specifically comprises the following steps:
s201: marking the double-holiday period and the legal holiday period in the historical daily electricity curve of the enterprise, and screening out daily electricity data corresponding to the double-holiday period and the legal holiday period;
s202: marking the date subjected to control in the daily electricity consumption curve processed in the step S201, and screening out the daily electricity consumption data corresponding to the date subjected to control;
s203: marking the date of production stoppage or production limitation in the theoretical normal production date in the daily electricity quantity curve processed in the step S202, and screening out the daily electricity quantity data corresponding to the date of production stoppage or production limitation, wherein the theoretical normal production date refers to all dates except the double-holiday period, the legal holiday date and the date under control;
s204: and (4) taking a median of the daily electricity consumption data in the daily electricity consumption curve processed in the step (S203), and screening out the data of which the daily electricity consumption is less than the median to obtain the historical normal production electricity consumption curve of the enterprise.
4. The method for quantifying the environmental protection response based on the enterprise electricity consumption data as claimed in claim 2, wherein the calculating the upper and lower limits of the historical normal production power of the enterprise specifically comprises:
Pt,max＝Max(Phistory, t) (1)
Pt,min＝Min(PHistory, t) (2)
Wherein, Pt,maxAnd Pt,minRespectively the upper limit and the lower limit, P, of the historical normal production power of the enterprise at the moment tHistory, tAnd taking all power values at the time t in the historical normal production power data of the enterprise, wherein t is 1,2, … and 24.
5. The method according to claim 3, wherein the step of calculating the upper and lower limits of the historical normal production power consumption of the enterprise is specifically as follows:
according to the historical normal production power consumption curve of the enterprise, selecting the maximum value in the historical normal production power consumption curve of the enterprise as the upper limit of the historical normal production power consumption of the enterprise, and selecting the minimum value in the historical normal production power consumption curve of the enterprise as the lower limit of the historical normal production power consumption of the enterprise.
6. The method of claim 4, wherein the actual production power of the enterprise at the time t is 60% of the power limit of the enterprise at the time t:
Pyield limit of 60%, t＝PLower limit, t-(PUpper limit, t-PLower limit, t) (7)
Wherein, PYield limit of 60%, tThe power P after the enterprise's production limit is 60% at the time tUpper limit, tIs the upper limit of the historical normal production power of the enterprise at the moment t, PLower limit, tAnd t is the lower limit of the historical normal production power of the enterprise at the time t, and t is 1,2, … and 24.
7. An environment-friendly response quantification device based on enterprise electricity utilization data is characterized by comprising an acquisition module, a preprocessing module, a parameter calculation module and an environment-friendly response calculation module;
the acquisition module is used for acquiring an enterprise historical daily power curve and an enterprise historical daily electric quantity curve;
the preprocessing module is used for preprocessing the acquired historical daily power curve of the enterprise to obtain a historical normal production power curve of the enterprise; preprocessing the acquired historical daily electricity consumption curve of the enterprise to obtain a historical normal production electricity consumption curve of the enterprise;
the parameter calculation module is used for calculating the upper limit and the lower limit of the historical normal production power of the enterprise and the upper limit and the lower limit of the historical normal production power consumption of the enterprise according to the historical normal production power curve of the enterprise and the historical normal production power consumption curve of the enterprise, and calculating a control power reduction value according to the upper limit and the lower limit of the historical normal production power of the enterprise;
the environment-friendly response calculation module is used for calculating the environment-friendly response time length and environment-friendly response depth of the enterprise according to the upper and lower limits of the historical normal production power of the enterprise, the upper and lower limits of the historical normal production power consumption of the enterprise and the control power reduction value;
wherein: the historical normal production power curve of the enterprise is a power curve corresponding to the double-holiday period and the legal holiday date, the controlled date and the shutdown or production limit date which are removed from the historical daily power curve of the enterprise, and the historical normal production power consumption curve of the enterprise is a power curve corresponding to the double-holiday period and the legal holiday date, the controlled date and the shutdown or production limit date which are removed from the historical daily power consumption curve of the enterprise;
the specific steps of calculating the control power reduction value according to the upper limit and the lower limit of the historical normal production power of the enterprise are as follows: controlling a power drop value N ═ upper limit of historical normal production power of the enterprise-lower limit of historical normal production power of the enterprise, wherein the value of N is determined by the property of the enterprise;
the calculating of the environment-friendly response duration and the environment-friendly response depth of the enterprise specifically comprises the following steps:
if the daily electricity consumption of the enterprise is larger than the lower limit of the historical normal production electricity consumption of the enterprise, the environmental protection response time length of the enterprise is 0, the environmental protection response depth is 0, and the enterprise environmental protection response quantification is completed; otherwise, for time t, t is 1,2, …,24, if the actual production power of the enterprise at time t is less than the lower limit of the historical normal production power of the enterprise at the corresponding time, the environmental protection response time duration at time t is 1, and the environmental protection response depth at time t is obtained by fuzzy calculation:
wherein the value of N is determined by the nature of the enterprise; if the actual production power of the enterprise at the time t is equal to or greater than the lower limit of the historical normal production power of the enterprise at the corresponding time, the environmental protection response time at the time t is 0, and the environmental protection response depth at the time t is 0;
according to the calculation result, calculating the environmental protection response duration and the environmental protection response depth of the enterprise:
enterprise response time ═ Σ t moment environmental protection response time (5)
Wherein t is 1,2, …, 24.
8. The device of claim 7, wherein the preprocessing module further comprises:
the holiday screening module is used for receiving the enterprise historical daily power curve or the enterprise historical daily electric quantity curve sent by the obtaining module, marking the double holidays and legal holidays in the enterprise historical daily power curve and the enterprise historical daily electric quantity curve, and screening out power curves or daily electric quantity data corresponding to the double holidays and the legal holidays;
the control screening module is used for marking the date which is controlled in the power curve or the electricity consumption curve processed by the holiday screening module and screening out the power curve or the daily electricity consumption data corresponding to the date which is controlled;
the maintenance day screening module is used for marking the date of production halt or production limit in the theoretical normal production date in the power curve or the power consumption curve processed by the control screening module, screening the power curve or the daily power consumption data corresponding to the date of production halt or production limit to obtain an enterprise historical normal production power curve or an enterprise historical normal production power consumption curve, and sending the enterprise historical normal production power curve or the enterprise historical normal production power consumption curve to the parameter calculating module; wherein the theoretical normal production date refers to all dates except for the double-holiday period, the legal holiday date and the regulated date.
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