CN113191634A - Method and system for evaluating health state of electricity consumption behavior of industrial user - Google Patents
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Abstract
The invention provides an industrial user power consumption behavior health state evaluation method and system, which can be used for carrying out safety and economy multi-angle evaluation on the power consumption behavior of an industrial user by utilizing established safety evaluation indexes and economy evaluation indexes according to acquired real-time power consumption data of the industrial user, can be used for carrying out comprehensive power consumption behavior health state evaluation on specific enterprises, guiding the enterprises to carry out safety power consumption, saving energy and reducing consumption, improving the power consumption management capability of the enterprises, and is suitable for evaluation requirements of all industrial users.
Description
Technical Field
The invention relates to the field of power information communication, in particular to a method and a system for evaluating the health state of power consumption behaviors of industrial users.
Background
Along with the gradual increase of the power consumption demand of industrial users, the energy consumption amount increases year by year, the energy consumption of the industrial users is relatively centralized, the management difficulty is high, the means is single, the data acquisition is delayed, timely and effective data and analysis tools are lacked, and the condition of the power consumption behavior of the current industrial users cannot be reflected, so that the evaluation of the health state of the power consumption behavior is a basic requirement for safe power consumption. How to reasonably make the health status evaluation under the condition of less or no human intervention by the electricity consumption behavior of industrial users also becomes one of the problems to be solved.
At present, many health state evaluation methods exist, wherein the comprehensive evaluation based on the platform area health state is to establish an index system through four aspects of acquisition, cost control, line loss and equipment events and perform weighted calculation to obtain a final evaluation score, but the method is more suitable for users in a low-voltage platform area; the health state evaluation based on the electromechanical equipment selects an analytic hierarchy process and obtains data such as electrical parameters, operation states and the like of the equipment for analysis, and the data obtaining difficulty is high.
Disclosure of Invention
In order to solve the problems, the invention provides an evaluation method and system for the health state of the power consumption behavior of an industrial user.
An embodiment of one aspect of the present invention provides a method for evaluating a health state of an electricity consumption behavior of an industrial user, including: acquiring power utilization information data of industrial users; extracting power utilization characteristics according to the power utilization information data; establishing a safety evaluation model and an economic evaluation model according to the power utilization characteristics of the user and the health state evaluation requirements; according to the obtained safety evaluation model and the economic evaluation model and preset evaluation conditions, respectively calculating a safety evaluation index score and a economic evaluation index score; carrying out weighted summation calculation on the obtained safety evaluation index score and the economic evaluation index score to obtain a total score of the comprehensive evaluation of the power utilization health state of the daily industrial user; and comprehensively evaluating the total score by using the electricity utilization health state of the industrial user to obtain the evaluation result of the electricity utilization behavior health state of the industrial user.
According to the method for evaluating the health state of the power consumption behaviors of the industrial users, the power consumption behaviors of the industrial users are evaluated safely and economically in multiple angles by using the established safety evaluation index and economic evaluation index according to the acquired real-time power consumption data of the industrial users, the health state of the power consumption behaviors of the industrial users can be comprehensively evaluated aiming at specific enterprises, the safety power consumption of the enterprises is guided, the energy is saved, the consumption is reduced, the power consumption management capability of the enterprises is improved, and the method is suitable for the evaluation requirements of all industrial users.
Preferably, the real-time electricity data includes three-phase current, three-phase voltage, current, load factor, power factor, active power and reactive power.
Any of the above is preferred in the embodiment, and the safety evaluation index includes a voltage deviation rate, a harmonic distortion rate, a power distribution equipment failure rate, and power supply reliability.
Any one of the above is preferable in the embodiment, and the economic evaluation index includes a total power factor, a total load rate, a distribution transformer load balance degree, a payment mode rationality, a peak power consumption ratio, and a current imbalance rate.
In any of the above embodiments, preferably, when the safety evaluation index score and the economic evaluation index score are calculated, the following method is adopted for the preset evaluation condition when setting:
acquiring historical electricity utilization data of an industrial user, and generating a grading condition judgment library according to the acquired historical electricity utilization data;
setting a scoring interval for each index in the safety evaluation index and the economic evaluation index in the scoring condition judgment library; the endpoint values among the obtained areas are a minimum scoring condition value and a maximum scoring condition value;
judging whether each index of a safety evaluation index and an economic evaluation index calculated by real-time power utilization data falls into an obtaining area, and if the index falls into the obtaining area, obtaining a score by the index; if outside the score interval, the index score is 0.
Any one of the above is preferable in the embodiment, and when the total evaluation score of the power utilization health state of the industrial user is calculated, each index of the obtained safety evaluation index score and the economic evaluation index score is subjected to weighted calculation according to preset different weights; the weights are set according to the following method: the sum of the weight of each index in the safety evaluation index and the economic evaluation index is 100;
according to the safety evaluation indexes, weights are distributed from high to low according to the weight in sequence from large to small;
in the economic evaluation indexes, weights are distributed from high to low according to economic quality grades in sequence from high to low according to weights.
Any one of the above embodiments is preferable, and further includes counting the total score of the daily comprehensive evaluation of the power consumption health status of the industrial users by taking a month as a unit, and calculating an average value to obtain the total score of the comprehensive health status of the power consumption in the month; and calculating the comprehensive health state total score of annual energy consumption by taking the year as a unit and utilizing the comprehensive health state total score of monthly energy consumption, and carrying out big data analysis on the electricity consumption behaviors of industrial users.
According to the method for evaluating the health state of the power consumption behavior of the industrial user, provided by the embodiment of the invention, the comprehensive quantitative analysis of the power consumption economy and safety of enterprises is realized by establishing a power consumption behavior health state evaluation index system for the enterprises; a parameter-configurable electricity consumption behavior health state algorithm based on big data is established; guiding the safety power utilization of enterprises based on the evaluation of the health state of the power utilization behaviors; guiding the economic power utilization of enterprises; a power utilization behavior health state evaluation scoring mechanism is introduced to generate a score; and (4) introducing a power utilization behavior health evaluation weight regulation mechanism to optimize the score. The evaluation on the health state of the power utilization behaviors is realized by utilizing the power utilization information acquisition data of the enterprise side; the evaluation of the health state of the electricity utilization behavior by utilizing the operation data of the enterprise side equipment is realized.
The invention also provides an evaluation system for the health state of the electricity consumption behavior of the industrial user, which comprises the following steps: the data acquisition module is used for acquiring the electricity utilization information data of the industrial user; extracting power utilization characteristics according to the power utilization information data;
the evaluation index calculation module is used for establishing a safety evaluation model and an economic evaluation model according to the power utilization characteristics and the health state evaluation requirements;
the evaluation index scoring module is used for respectively calculating a safety evaluation index score and a economic evaluation index score according to the obtained safety evaluation model and economic evaluation model and preset evaluation conditions;
and the comprehensive health state evaluation module is used for carrying out weighted summation calculation on the obtained safety evaluation index score and the economic evaluation index score to obtain a total power consumption health state evaluation score of the industrial user.
Preferably, the evaluation index scoring module includes an evaluation condition presetting unit, and the evaluation condition presetting unit includes:
the grading condition judgment library is used for setting a grading interval for each index in the safety evaluation index and the economic evaluation index according to the acquired historical power utilization data; the endpoint values among the obtained areas are a minimum scoring condition value and a maximum scoring condition value; judging whether each index of a safety evaluation index and an economic evaluation index calculated by real-time power utilization data falls into the scoring area, and if the index falls into the scoring area, scoring the index; if outside the score interval, the index score is 0.
In the system for evaluating the health state of the power consumption behaviors of the industrial users, the power consumption behaviors of the industrial users are evaluated safely and economically in multiple angles by using the established safety evaluation index and economic evaluation index according to the acquired real-time power consumption data of the industrial users, so that the health state of the power consumption behaviors of the industrial users can be comprehensively evaluated aiming at specific enterprises, the safety power consumption of the enterprises is guided, the energy is saved, the consumption is reduced, the power consumption management capability of the enterprises is improved, and the system is suitable for the evaluation requirements of all industrial users.
The invention also provides a computer storage medium, wherein the computer storage medium stores a computer program, and the computer program is executed by a processor to realize the steps of the method for evaluating the health state of the electricity consumption behavior of the industrial user.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention.
FIG. 1 is a health status evaluation method for evaluating effects of power consumption behaviors of industrial users;
fig. 2 is a health status evaluation system for evaluating the effect of power consumption behavior of an industrial user.
Detailed Description
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The following detailed description is exemplary in nature and is intended to provide further details of the invention. Unless otherwise defined, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention.
An embodiment of one aspect of the present invention provides a method for evaluating a health state of an electricity consumption behavior of an industrial user, including:
s1, acquiring power utilization information data of industrial users; extracting power utilization characteristics according to the power utilization information data; in order to improve the accuracy of data calculation, the electricity consumption information data can be acquired by adopting high frequency to acquire massive user electricity consumption information data.
The real-time electricity data comprises three-phase current, three-phase voltage, current, load factor, active power and reactive power.
S2, establishing a safety evaluation model and an economic evaluation model according to the electricity utilization characteristics and the health state evaluation requirements;
safety evaluation indexes and economic evaluation indexes are preset in the safety evaluation model and the economic evaluation model, wherein the safety evaluation indexes comprise voltage deviation rate, harmonic distortion rate, power distribution equipment fault rate and power supply reliability. The economic evaluation indexes comprise a total power factor, a total load rate, a distribution transformer load balance degree, the rationality of a payment mode, the proportion of power consumption in peak time and a current imbalance rate.
The above-described respective indexes are calculated in the following embodiments in specific examples.
1) The voltage deviation is the difference between the voltage acquisition value and the rated voltage, and the voltage deviation exceeding the specification can have adverse effects on the normal operation of the power supply and distribution system.
Voltage deviation ratio:
wherein: c. CdypclIs the voltage deviation ratio, adycjAs a voltage acquisition value, beddyIs a rated voltage.
2) Harmonic distortion is a performance parameter that characterizes the degree of waveform distortion relative to a sine wave, expressed as a percentage of the ratio of the root mean square value of each harmonic voltage to the effective value of the fundamental voltage. The damage of harmonic distortion can cause the increase of copper loss, iron loss and other stray losses of the transformer, and the service life of the transformer is shortened.
Harmonic distortion rate:
wherein: u shapen- - -the nth harmonic voltage effective value, U1- -fundamental voltage effective value, THDU-harmonic distortion rate.
3) The failure rate of the power distribution equipment is the probability of failure of the power distribution equipment, and the damage of the failure rate of the power distribution equipment can influence the power supply safety.
Failure rate of distribution equipment:
wherein: c. CpdgzlTo the failure rate of the distribution equipment, aypgzcsNumber of monthly distribution equipment failures, bpdzsAs total number of distribution equipment
4) The power supply reliability is the continuous power supply capability of a power supply system, and the service life of equipment and the production are influenced when the power supply reliability is too low.
Power supply reliability:
wherein: c. CgdkklTo supply power reliability, aytjzhCounting the total duration for a month, bytdzhTotal power off time for month
bytdzh＝bsybyzqth-bsybyqtdzth
Wherein: bsybyzqthFor summing the power-off durations of all transformers, bsybyqtdzthThe total time for all transformers to be powered off simultaneously.
bsybyqth＝bbqyth*gbyqs
Wherein: bbqythFor simultaneous power-off time of transformer, gbyqsIs the number of transformers
aytjzh＝gbyqs*t*24h
Wherein: t is the number of days of the month
5) The total power factor is the ratio of active power to apparent power, and the power factor can affect the expenditure of the electric charge of an enterprise.
Wherein: p is active power, b is reactive power
6) The total load rate is the ratio of the apparent power actually born by the transformer to the capacity of the transformer, and the power equipment resources are wasted due to the fact that the load is too light
The total load rate:
wherein: a iszfzlAs the total load factor, cpjglhIs the sum of the monthly average apparent powers of all transformers, bedrlhIs the sum of the total rated capacity of all transformers.
7) The distribution transformer load balance degree is used for comprehensively judging whether the load degree of the transformer is reasonable or not, and the unreasonable utilization of the transformer is indicated by the overhigh distribution transformer load balance degree.
Load balance degree of distribution transformer:
wherein: c is the load balance degree of distribution transformer, a is the monthly average maximum load rate of the transformer with the same voltage class in the statistics month, and b is the transformerminMinimum monthly average load rate, transformer bmaxIs the maximum monthly average load
8) The rationality of the payment mode is to judge whether the current payment mode of the enterprise is rational or not, compare the demand electric charge and the capacity electric charge,
reminding the user to select a proper payment mode, and the unreasonable harm of the payment mode can cause the enterprises to have excessive electric charge expenditure.
Rationality of payment mode:
wherein: c. CrxbFor incoming line requiring capacity ratio, ajxzdxlFor maximum incoming monthly demand, bjxbzrlFor incoming line reporting capacity, |xldfTo demand electricity price, rrldfThe capacity-demand ratio is the ratio of the maximum demand to the repayment capacity, namely the ratio of the demand electric charge to the capacity electric charge, when the capacity-demand ratio is 66.7%, the capacity charge is equal to the demand charge,
9) The ratio of the peak electricity consumption is the ratio of the peak electricity consumption to the total electricity consumption, and the harm of the excessive peak electricity consumption can cause the user to pay excessive electricity charge.
The ratio of the electricity consumption at peak time:
wherein: c. CfsdlzbRatio of power consumption at peak time, fyfdlElectricity consumption at peak of the moon, zyzdlTotal power consumption of the month
10) The current imbalance is the degree of the three-phase current imbalance of the transformer A, B, C, and the damage of the three-phase current imbalance is too high, which can bring too much power consumption loss and possibly cause equipment burnout.
Current imbalance rate:
wherein: the a is the a phase current, the b is the b phase current, the c is the c phase current, and the d is the three-phase current unbalance rate.
S3, respectively calculating a safety evaluation index score and an economic evaluation index score according to the obtained safety evaluation model and economic evaluation model and preset evaluation conditions;
the method comprises the steps of evaluating the power utilization health state of an industrial user according to a comprehensive energy consumption evaluation score, comprehensively analyzing the power utilization condition of the industrial user to obtain a comprehensive evaluation total score of the power utilization health state of the user, judging whether the power utilization behavior of the industrial user is in a healthy state or not according to a score result, comparing scores in the previous month, judging that the power utilization behavior of the industrial user in the current month changes and floats, calculating a total score from two dimensions of safety index evaluation and economic index evaluation according to the comprehensive energy consumption evaluation result of the industrial user, wherein the total score of the comprehensive energy consumption evaluation is higher and represents that the power utilization behavior of the industrial user is healthier. Calculating safety evaluation index scores which are respectively a voltage deviation score, a harmonic distortion score, a power distribution equipment fault rate score and a power supply reliability score; calculating the economic evaluation index scores as a total power factor score, a total load rate score, a distribution transformer load balance degree score, a payment mode rationality score, a peak power consumption proportion score and a current imbalance score respectively, wherein the calculation modes are as follows:
in addition, when the safety evaluation index score and the economic evaluation index score are calculated, the following method is adopted when the preset evaluation condition is set:
acquiring historical electricity utilization data of an industrial user, and generating a grading condition judgment library according to the acquired historical electricity utilization data;
setting a scoring interval for each index in the safety evaluation index and the economic evaluation index in the scoring condition judgment library; the endpoint values among the obtained areas are a minimum scoring condition value and a maximum scoring condition value;
judging whether each index of a safety evaluation index and an economic evaluation index calculated by real-time power utilization data falls into an obtaining area, and if the index falls into the obtaining area, obtaining a score by the index; if outside the score interval, the index score is 0.
The scores of different indexes are derived as follows, and experts edit the score condition intervals according to different indexes and edit the score of the index according to the score condition intervals of different indexes. The score calculating method of the index is to compare the index ratio with the evaluation condition and find the score corresponding to the conforming condition.
For example, the index ratio satisfies the scoring condition xzxtjX ofzbmc＜xzdtjDuring interval, editing the index score according to the index score condition, wherein the score is xzbpf
Wherein: x is the number ofzxtjSetting a minimum scoring condition value, x, of a certain index for an expertzbmcIs a certain index ratio, xzdtjSetting the maximum scoring condition value of a certain index for the expert, and editing the score x of the index by the expert according to the scoring condition description of the set indexzbpfThe following index scores are expressed by different letters, depending on the index.
Zzdf＝aaqzbzdf+jjjzbzdf
Wherein: zzdfFor comprehensive evaluation of the overall score, aaqzbzdfIs a total score of the safety index, jjjzbzdfTotal score for economic index
aaqzbzdf＝dpcdf+jxbdf+ggzldf+kgdkdf
Wherein: dpcdfScoring the user voltage deviation, jxbdfFor the user voltage harmonic total distortion score, ggzldfFor distribution equipment fault rate score, kgdkdfScoring the power supply reliability.
jjjzbzdf＝ygldf+ffzldf+pfzphddf+jjfdf+fdlzbdi+ddlbphdf
Wherein: y isgldfScoring the total power factor of the user, ffzldfFor the user total load rate score, pfzphddfAssigning load balance degree scores to users, jjfdfFor a reasonable score of the payment means, fdlzbdfThe peak power consumption is calculated as the ratio of the peak power consumption, ddlbphdfA user current imbalance score.
The details of the score of each index are shown below.
1. Voltage deviation score calculation method:
and calculating the daily score of the voltage deviation of each transformer, wherein the calculation method is to compare the worst deviation value of the transformer with the evaluation condition and find the score corresponding to the conforming condition.
Calculating the average value of the monthly scores of each transformer, namely counting the average value of the daily scores of the voltage deviation of each transformer in the month
ayjpf＝brpjz
Wherein: brpjzThe average value of the daily evaluation of the voltage deviation of each transformer in a month, ayjpfScore each transformer month
Wherein: c. CpcpfScoring the voltage deviation of the user, ayjpfScoring each transformer monthly, bedrlRated capacity of each transformer, brlzhIs the sum of all transformer capacities.
dpcdf＝cpcpf*qdypcl
Wherein: dpcdfScoring the user voltage deviation, qdypclIs a weight
2. Harmonic distortion score calculation method:
firstly, daily scores of the total harmonic distortion rate of each transformer are calculated, and the calculation method is to compare the total harmonic distortion rate of the maximum voltage of the three phases of the transformer ABC with evaluation conditions and find out the scores corresponding to the conditions.
And (4) calculating the monthly average score of each transformer, namely counting the daily average score of the total distortion rate of the voltage harmonics of each transformer in the month.
jjbpf＝bjbrpf
Wherein: bjbrpfThe daily evaluation average value j of the total harmonic distortion rate of each transformer in a monthjbpfScore each transformer month
Wherein: c. CxbpfScoring the total distortion rate of the user voltage harmonics, jjbpfScoring each transformer monthly, bedrlRated capacity of each transformer, brlzhIs the sum of all transformer capacities
jxbdf＝cxbpf*qxbjb
Wherein: j is a function ofxbdfFor the user voltage harmonic total distortion score, qxbjbIs a weight
3. The failure rate score calculation mode of the power distribution equipment is as follows:
wherein: c. CgzlTo the failure rate of the distribution equipment, agzcsNumber of monthly distribution equipment failures, bpdzsMatching the total number of the power distribution equipment with the fault rate of the power distribution equipment and the evaluation condition to obtain the fault rate score of the power distribution equipment, namely pgzlpfScoring power distribution equipment failure rates
ggzldf＝pgzlpf*qgzl
Wherein: ggzldfFor distribution equipment fault rate scores, pgzlpfRating distribution equipment failure rates, qgzlIs a weight
4. The power supply reliability score calculation mode is as follows:
hytdh＝htdhz-htdzsc
wherein: h isytdhTotal power off time for the month htdhzSummarizing the power failure time of the transformer in a month for calculating and counting htdzscTotal time for all transformers to be powered off simultaneously
htdzsc＝htstd*tbyqs
Wherein: h iststdFor the simultaneous power-off time of the transformer, tbyqsIs the number of transformers
hytjsc＝tbyqs*hts*24
Wherein: h isytjscThe total duration, h, is counted for the monthtsDays of the month
Matching the power supply reliability with the evaluation conditions to obtain a power supply reliability score, namely kgdkklAnd scoring the power supply reliability.
kgdkdf＝kgdkkl*qgdkk
Wherein: k is a radical ofgdkdfTo provide a power reliability score, kgdkklScoring power supply reliability, qgdkkIs a weight
5. The total power factor score calculation mode:
the user total power factor score is the power factor of the lowest inlet wire of the monthly power factor calculated by the inlet wire statistics monthly reactive power quantity, the power factor of the inlet wire is matched with the evaluation condition, and the corresponding score is found to be used as the user total power factor score, namely yglpfAnd scoring the total power factor of the user.
ygldf＝yglpf*qglqz
Wherein: y isgldfScoring the total power factor of the user, yglpfScoring the total power factor of the user, qglqzIs a weight
6. The total load rate score calculation mode is as follows:
matching the total load rate with the evaluation conditions to obtain a total load rate score, namely yfzpfAnd scoring the total load rate of the user.
And the user total load rate score is the score value corresponding to the evaluation condition that the user total load rate value meets.
yfzpf＝qyhfzpfz
Wherein: y isfzpfScoring the total load rate of the user, qyhfzpfzAnd the total load rate value of the user is the rating value corresponding to the rating condition which is met by the total load rate value.
ffzldf＝yfzpf*qfzqz
Wherein: f. offzldfIs a user total load rate score, yfzpfScoring the total load rate of the user, qfzqzIs a weight
7. And (3) a distribution transformer load balance degree score calculation mode:
wherein: c is the load balance degree of distribution transformer, a is the monthly average maximum load rate of the transformer with the same voltage class in the statistics month, and b is the transformerminMinimum monthly average load rate, transformer bmaxIs the maximum monthly average load. Matching the distribution transformer load balance degree with a score value corresponding to the evaluation condition that the user distribution transformer load balance degree accords with to obtain a user distribution transformer load balance degree score. And the user distribution transformation load balance degree score is the score value corresponding to the evaluation condition that the user distribution transformation load balance degree value meets.
pfzpf＝hyhfzz
Wherein: p is a radical offzpfAssigning a load balance score, h, to the useryhfzzAnd distributing the scoring value corresponding to the evaluation condition that the load balance value accords with the user.
pfzphddf＝pfzpf*qfzphqz
Wherein: p is a radical offzphddfAssigning load-balancing scores, p, to usersfzpfAssigning load balance scores to users, qfzphqzIs a weight
8. A payment mode rationality score calculation mode:
if the applicable charging mode is not consistent with the actual charging mode, the score is 0, otherwise, the score is 100. If it is volume charged, it is suitable for demand charging or it is volume charged, suitable for volume charging, for which the charging mode is not appropriate, i.e. pjfpfAnd scoring the rationality of the payment mode.
jjfdf＝pjfpf*qjfqz
Wherein: j is a function ofjfdfFor a score of the rationality of the payment means, pjfpfFor rating the rationality of the payment means, qjfqzThe calculation method of the power consumption proportion score in the peak time with the weight of 9 is as follows:
wherein: c. CfsdlzbRatio of power consumption at peak time, fyfdlElectricity consumption at peak of the moon, zyzdlTotal power consumption of the month
Matching the peak power consumption ratio with the score corresponding to the scoring condition of the peak power consumption ratio to obtain the peak power consumption ratio score, namely cfsdlpfAnd scoring the ratio of the electricity consumption at the peak.
And the peak power consumption ratio score is the score corresponding to the scoring condition that the peak power consumption ratio accords with.
cfsdlpf＝hfspffs
Wherein: c. CfsdlpfIs the ratio of the power consumption at peak time, hfspffsThe score is the score corresponding to the scoring condition that the power consumption ratio is in accordance with the peak time.
fdlzbdf＝cfsdlpf*qfsdlqz
Wherein: f. ofdlzbdfIs the peak power consumption ratio score, cfsdlpfIs the peak power consumption ratio score, qfsdlqzThe calculation method of the weight 10 and the current imbalance score is as follows:
and calculating daily scores of current unbalance of each transformer, wherein the calculation method is to compare the daily maximum value of the current unbalance of the transformer with the evaluation conditions and find the scores corresponding to the conditions. And calculating the average score of each transformer in the statistical month, namely calculating the average value of the daily scores of the current imbalance of each transformer in the statistical month.
dyjpf＝hdlbphjz
Wherein: dyjpfEach transformer is scored monthly hdlbphjzAnd (4) counting the average value of daily evaluation of the current imbalance of each transformer in the month.
Wherein: c. CdlbphpfScoring the user current imbalance, dyjpfScoring each transformer monthly, bedrlRated capacity of each transformer, brlzhIs the sum of all transformer capacities
ddlbphdf＝cdlbphpf*q dl bphqz
Wherein: ddlbphdfUser current imbalance score, qdlbphqzIs a weight
S4, according to the national electricity utilization safety standard and the industry electricity utilization energy efficiency index, carrying out weighted summation calculation on the obtained safety evaluation index score and the economic evaluation index score to obtain a total score of the industrial user electricity utilization health state comprehensive evaluation; when the total evaluation score of the power utilization health state of the industrial user is calculated, each index in the obtained safety evaluation index score and the economic evaluation index score is subjected to weighted calculation according to preset different weights; the weights are set according to the following method: the sum of the weight of each index in the safety evaluation index and the economic evaluation index is 100;
according to the safety evaluation indexes, weights are distributed from high to low according to the weight in sequence from large to small;
in the economic evaluation indexes, weights are distributed from high to low according to economic quality grades in sequence from high to low according to weights.
And S5, comprehensively evaluating the total score by using the electricity utilization health state of the industrial user to obtain the evaluation result of the electricity utilization behavior health state of the industrial user. And counting the daily total score of the comprehensive evaluation of the power utilization health state of the industrial users by taking a month as a unit, calculating an average value to obtain the total score of the comprehensive health state of the power utilization energy of the current month, and carrying out big data analysis on the power utilization behaviors of the industrial users.
According to the method for evaluating the health state of the power consumption behaviors of the industrial users, the power consumption behaviors of the industrial users are evaluated safely and economically in multiple angles by using the established safety evaluation index and economic evaluation index according to the acquired real-time power consumption data of the industrial users, the health state of the power consumption behaviors of the industrial users can be comprehensively evaluated aiming at specific enterprises, the safety power consumption of the enterprises is guided, the energy is saved, the consumption is reduced, the power consumption management capability of the enterprises is improved, and the method is suitable for the evaluation requirements of all industrial users.
According to the method for evaluating the health state of the power consumption behavior of the industrial user, provided by the embodiment of the invention, the comprehensive quantitative analysis of the power consumption economy and safety of enterprises is realized by establishing a power consumption behavior health state evaluation index system for the enterprises; a parameter-configurable electricity consumption behavior health state algorithm based on big data is established; guiding the safety power utilization of enterprises based on the evaluation of the health state of the power utilization behaviors; guiding the economic power utilization of enterprises; a power utilization behavior health state evaluation scoring mechanism is introduced to generate a score; and (4) introducing a power utilization behavior health evaluation weight regulation mechanism to optimize the score. The evaluation on the health state of the power utilization behaviors is realized by utilizing the power utilization information acquisition data of the enterprise side; the evaluation of the health state of the electricity utilization behavior by utilizing the operation data of the enterprise side equipment is realized.
The invention also provides an evaluation system for the health state of the electricity consumption behavior of the industrial user, which is used for implementing the method and comprises the following steps: the data acquisition module is used for acquiring the power utilization information data of the industrial user and extracting the power utilization characteristics according to the power utilization information data;
the evaluation index calculation module is used for establishing a safety evaluation model and an economic evaluation model according to the power utilization characteristics of the user and the health state evaluation requirement;
the evaluation index scoring module is used for respectively calculating a safety evaluation index score and a economic evaluation index score according to the obtained safety evaluation model and economic evaluation model and preset evaluation conditions;
and the comprehensive health state evaluation module is used for carrying out weighted summation calculation on the obtained safety evaluation index score and the economic evaluation index score to obtain a total power consumption health state evaluation score of the industrial user.
Preferably, the evaluation index scoring module includes an evaluation condition presetting unit, and the evaluation condition presetting unit includes:
the grading condition judgment library is used for setting a grading interval for each index in the safety evaluation index and the economic evaluation index according to the acquired historical power utilization data; the endpoint values among the obtained areas are a minimum scoring condition value and a maximum scoring condition value; judging whether each index of a safety evaluation index and an economic evaluation index calculated by real-time power utilization data falls into the scoring area, and if the index falls into the scoring area, scoring the index; if outside the score interval, the index score is 0.
In the system for evaluating the health state of the power consumption behaviors of the industrial users, the power consumption behaviors of the industrial users are evaluated safely and economically in multiple angles by using the established safety evaluation index and economic evaluation index according to the acquired real-time power consumption data of the industrial users, so that the health state of the power consumption behaviors of the industrial users can be comprehensively evaluated aiming at specific enterprises, the safety power consumption of the enterprises is guided, the energy is saved, the consumption is reduced, the power consumption management capability of the enterprises is improved, and the system is suitable for the evaluation requirements of all industrial users.
The invention also provides a computer storage medium, wherein the computer storage medium stores a computer program, and the computer program is executed by a processor to realize the steps of the method for evaluating the health state of the electricity consumption behavior of the industrial user.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be appreciated by those skilled in the art that the invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The embodiments disclosed above are therefore to be considered in all respects as illustrative and not restrictive. All changes which come within the scope of or equivalence to the invention are intended to be embraced therein.
Claims (10)
1. A method for evaluating the health state of electricity consumption behaviors of industrial users is characterized by comprising the following steps:
acquiring power utilization information data of industrial users; extracting power utilization characteristics according to the power utilization information data;
establishing a safety evaluation model and an economic evaluation model according to the power utilization characteristics and the health state evaluation requirements;
according to the obtained safety evaluation model and the economic evaluation model and preset evaluation conditions, respectively calculating a safety evaluation index score and a economic evaluation index score;
carrying out weighted summation calculation on the obtained safety evaluation index score and the economic evaluation index score to obtain a total score of the comprehensive evaluation of the power utilization health state of the daily industrial user;
and comprehensively evaluating the total score by using the electricity utilization health state of the industrial user to obtain the evaluation result of the electricity utilization behavior health state of the industrial user.
2. The method according to claim 1, wherein the real-time electricity consumption data includes three-phase current, three-phase voltage, current, load factor, power factor, active power and reactive power.
3. The method for evaluating the health status of electric behaviors of industrial users according to claim 1, wherein the safety evaluation indexes comprise voltage deviation rate, harmonic distortion rate, failure rate of power distribution equipment and power supply reliability.
4. The method for evaluating the health status of the electricity consumption behaviors of the industrial users according to claim 1, wherein the economic evaluation indexes comprise a total power factor, a total load rate, a distribution and transformation load balance degree, a payment mode rationality, a peak-time electricity consumption ratio and a current imbalance rate.
5. The method for evaluating the health status of the electricity consumption behaviors of the industrial users according to claim 1, wherein when the safety evaluation index score and the economic evaluation index score are calculated, the following method is adopted for the preset evaluation conditions:
acquiring historical electricity utilization data of an industrial user, and generating a grading condition judgment library according to the acquired historical electricity utilization data;
setting a scoring interval for each index in the safety evaluation index and the economic evaluation index in the scoring condition judgment library; the endpoint values among the obtained areas are a minimum scoring condition value and a maximum scoring condition value;
judging whether each index of a safety evaluation index and an economic evaluation index calculated by real-time power utilization data falls into an obtaining area, and if the index falls into the obtaining area, obtaining a score by the index; if outside the score interval, the index score is 0.
6. The method for evaluating the health status of the electricity consumption behaviors of the industrial users according to claim 1, wherein different weights are preset for each index of the obtained safety evaluation index score and the economic evaluation index score when the obtained safety evaluation index score and the economic evaluation index score are subjected to weighted summation calculation; the weights are set according to the following method:
the sum of the weight of each index in the safety evaluation index and the economic evaluation index is 100;
according to the safety evaluation indexes, weights are distributed from high to low according to the weight in sequence from large to small;
in the economic evaluation indexes, weights are distributed from high to low according to economic quality grades in sequence from high to low according to weights.
7. The method for evaluating the health status of the electricity consumption behaviors of the industrial users according to claim 1, further comprising the steps of counting the total scores of the comprehensive evaluation of the electricity consumption health status of the industrial users every day by taking a month as a unit, and calculating an average value to obtain the total scores of the comprehensive health status of the electricity consumption behaviors in the current month; and calculating the comprehensive health state total score of annual energy consumption by taking the year as a unit and utilizing the comprehensive health state total score of monthly energy consumption, and carrying out big data analysis on the electricity consumption behaviors of industrial users.
8. An industrial user electricity consumption behavior health state evaluation system is characterized by comprising:
the data acquisition module is used for acquiring the electricity utilization information data of the industrial user; extracting power utilization characteristics according to the power utilization information data;
the evaluation index calculation module is used for establishing a safety evaluation model and an economic evaluation model according to the power utilization characteristics and the health state evaluation requirements;
the evaluation index scoring module is used for respectively calculating a safety evaluation index score and a economic evaluation index score according to the obtained safety evaluation model and economic evaluation model and preset evaluation conditions;
and the comprehensive health state evaluation module is used for carrying out weighted summation calculation on the obtained safety evaluation index score and the economic evaluation index score to obtain a total power consumption health state evaluation score of the industrial user.
9. The system for evaluating the health status of the power consumption behaviors of the industrial users according to claim 6, wherein the evaluation index scoring module comprises an evaluation condition presetting unit, and the evaluation condition presetting unit comprises:
the grading condition judgment library is used for setting a grading interval for each index in the safety evaluation index and the economic evaluation index according to the acquired historical power utilization data; the endpoint values among the obtained areas are a minimum scoring condition value and a maximum scoring condition value; judging whether each index of a safety evaluation index and an economic evaluation index calculated by real-time power utilization data falls into the scoring area, and if the index falls into the scoring area, scoring the index; if outside the score interval, the index score is 0.
10. A computer storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, implements the steps of the method for assessing the state of health of electrical utility usage by an industrial user according to any one of claims 1 to 5.
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