CN107203826A - A kind of power program optimization method of industrial user - Google Patents
A kind of power program optimization method of industrial user Download PDFInfo
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- 238000012913 prioritisation Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 238000005457 optimization Methods 0.000 abstract description 7
- 230000009467 reduction Effects 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 description 3
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
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Abstract
The invention discloses the power program optimization method of industrial user a kind of.The electricity consumption time is divided into the period first, the electricity consumption initial time of industrial user, electricity consumption duration, power consumption are represented with the period, then in conjunction with the electricity price charge method of existing power system, equipment is divided into lifestyle device and the class of production equipment two.Afterwards, using the power-system short-term load forecasting method based on SVM, with reference to history extraneous factor condition and history daily load data, it is configured to predict the lifestyle device load forecasting model of following daily load data according to future outside conditions, and carries out capacity/requirement to declare.Then on the premise of all types of production equipment constraintss are met, scheme optimization is carried out to production equipment electricity consumption, to reach the final optimization pass purpose for saving electric cost.The optimization method can reasonably optimize industrial user's electricity consumption arrangement, and can effectively reduce electric cost, reduction power spikes or reduce electricity consumption and interrupt is influenceed on user with electroreception.
Description
Technical field
A kind of present invention design intelligent power technical field, and in particular to the power program optimization method of industrial user.
Background technology
With social constantly progress, power grid user side is more desirable to energy while requiring to improve to power supply reliability
By reasonably arranging optimization, the minimum of electric cost is realized, it is competing in opening the markets further to improve industrial user
Strive power.Meanwhile, in face of the uneven problem of the power load distributings such as current summer peak of power consumption, make industrial user power program optimize so as to
Daily load is evened up, can be reduced for whole power system and much use Voltage force.Current every country is in succession intelligent power technology
Research is as one of measure coped with challenges, and economic electricity consumption has also been changed into via using electricity wisely the intelligence on the basis of making rational planning for
Electricity consumption, therefore how tou power price project control industrial user electricity consumption, management consumption habit have preferably been responded according to demand
The trend developed as intelligent power technology.
The content of the invention
The invention provides the power program optimization method of industrial user a kind of, to solve under existing electricity charge pricing mode
Industrial user's electric cost minimizes problem.Existing electricity charge pricing mode is studied, and industrial user's load is carried out
Classify and describe electricity consumption behavior respectively, add the constraints of each equipment.
The present invention uses following technical scheme to solve above-mentioned technical problem：A kind of power program optimization of industrial user
Method, comprises the following steps：
Step one：The electricity consumption time is divided into the period, by the electricity consumption initial time of industrial user, electricity consumption duration and electricity consumption
Amount is represented with the period.
Step 2：Based on existing electricity charge pricing mode, lifestyle device load is categorized into user equipment and production equipment is negative
Lotus, and this two class is modeled respectively；
Step 3：It is extraneous with reference to history using the power-system short-term load forecasting method based on SVM to lifestyle device
Conditions and history daily load data, the life of following daily load data can be predicted according to future outside conditions by constructing
Machine utilization forecast model living, carries out capacity/requirement according to forecast model and declares；History daily load curve is clustered simultaneously
Fitting, constructs the daily load curve of lifestyle device.
Step 4：On the premise of production equipment constraints is met, the object function of minimum cost, wherein target are solved
Function is：
Objective=min (pricejian* ∑s Ljian+pricefeng*∑Lfeng+pricegu*∑Lgu)
Wherein Objective represents the minimum day production cost of industrial user；pricejian、pricefeng、pricegu
Three carried out for industrial user are represented respectively takes the sharp electricity charge made in six period charge methods, the peak electricity charge, paddy electricity expense；Ljian、
Lfeng、LguSharp period, peak period, the instant load of production equipment of paddy period are represented respectively.
Using MATLAB routine call Cpelx optimized algorithm bags, above-mentioned minimum is solved in the case where meeting constraints
Cost objective function, industrial user's electricity consumption prioritization scheme after being optimized.
Further, the step one is specifically：It was divided into n period by one day, by equipment 1 in intraday electricity consumption feelings
Condition vector L1To represent：In formulaThe power that equipment 1 is collected n-th of period is represented, is made
For the mean power of this time.
Further, whether classification can be artificially dispatched according to the equipment in step 2；According to the existing electricity charge
Pricing mode, the electricity charge of industrial user include basic charge as per installed capacity and power cost；Basic charge as per installed capacity refers to by user power utilization capacity or requirement
The Capacity Cost of calculating, capacity=attaching transformer capacity+not by the high-tension motor capacity of the transformer, requirement is 15 points
User power utilization mean power in clock；Power cost refers to the cost of electric energy calculated by the user power utilization number of degrees, and industrial user uses three
The tou power price of the period of rate six, the Critical Peak Pricing period is 19：00-21：00, the peak electricity tariff period is 8：00-11：00,13：
00-19：00,21：00-22：00, off-peak electricity price period is 11：00-13：00,22：00- next day 8：00；Can not artificially it dispatch
Lifestyle device load is used to calculate Capacity Cost, can be used to calculate the cost of electric energy taking human as the production equipment load of scheduling.
Further, the extraneous factor designed in step 3 refers to temperature, humidity and day type.
Further, when constraints includes peak power limitation, minimum power limitation, minimum unlatching in the step 4
Between limitation, the limitation of minimum dwell time, process limitation, device type limitation, production schedule requirement, peak load limitation.
The present invention uses above technical scheme compared with prior art, with following technique effect：The present invention's is industrial
Family power program Optimization Design, gives the mathematical description of industrial user's equipment electricity consumption behavior and constraint, basic carrying out
Electricity charge capacity/requirement declare with power cost spike paddy six period of three rates Price Mechanisms, it is proposed that industrial user's electricity consumption is most
Optimized model, realizes intellectuality, rationalization that industrial user's electricity consumption is arranged.The optimization method can effectively reduce electric cost,
Reduction power spikes or reduction electricity consumption are interrupted to be influenceed on user with electroreception.
Brief description of the drawings
Fig. 1 is industrial user's power program optimization method flow chart；
Fig. 2 is six period of the three rates price detailed map under Zhejiang Province's electric power selling price table；
Fig. 3 is certain industrial user's production equipment daily load curve figure before being not optimised；
Fig. 4 is certain industrial user's production equipment daily load curve figure after optimization.
Embodiment
Technical scheme is described further below in conjunction with the accompanying drawings.
With reference first to Fig. 1, the present invention proposes a kind of power program optimization method of industrial user, specific as follows：
Step one：The period was divided into by 24 hours on the one, the electricity consumption initial time of each equipment, electricity consumption duration, is used
Electricity used time hop count is represented.A period for example is divided into per half an hour, then one is 48 sections, can gather 48 point datas.
Equipment 1, its intraday electricity consumption situation availability vector L1To represent：In formula,Represent equipment 1 the
The power that n period collects, uses the mean power of this time as, then the electric cost that equipment 1 was consumed in one day
ForpnThe electricity price of n-th each period is represented, T represents time segment length, i.e. half an hour here.
Step 2：Equipment to industrial user is classified --- lifestyle device and production equipment.Lifestyle device is mainly
Air-conditioning, illumination etc..Because can not possibly require that user cuts away air-conditioning in summer to avoid peak of power consumption, it is also not possible to it is required that user exists
Working day closes illumination, and this kind equipment can not artificially carry out peak regulation, but with extraneous factor, such as weather conditions, day type
It is relevant.Production equipment can then meet constraints (such as maximum/small-power limitation, minimum start/stop time restriction etc.)
On the premise of, carry out " peak load shifting " electricity consumption Optimum.
Step 3：Obtain lifestyle device load phase of history period daily load change curve and this section of period of history
Extraneous factor data, by the power-system short-term load forecasting method based on SVM, are configured to according to future outside factor bar
The lifestyle device load forecasting model of the following daily load data of part prediction.Then can be pre- according to the extraneous factor data of following several days
Maximum daily load peak is surveyed, so as to carry out declaring for capacity/requirement.Meanwhile, cluster fitting, structure are carried out to history daily load curve
Produce the daily load curve of lifestyle device.
Step 4：Each constraints progress mathematics of production equipment load is portrayed：
In formulaRepresent whether equipment k opens within the n-th period, open as 1, close as 0；Pmin,k, Pmax,kPoint
Not Wei equipment k min/max power limit, PkFor mean powers of the equipment k within the n-th period
Once certain equipment is n-thupPeriod is opened, it is necessary to which it could be closed after buffering after a while, that is, have minimum
Opening time limits；Similarly, minimum dwell time also limits.
n<=min (N, nup+ minup), n represents that equipment may be at the period sequence number of opening in formula, N represent by
The period sum being separated into for one day, nupThe period sequence number that the equipment has just been opened is represented, minup represents the minimum opening time.
n<=min (N, ndown+ mindown), n represents that equipment may be at the period sequence number of halted state, N tables in formula
Show the period sum for being separated into one day, ndownThe period sequence number that the equipment has just stopped being represented, mindown represents that minimum is stopped
Only time.
Some equipment must work for a period of time in the first sequence of other equipment and can just open, and there is process limitation.
Some equipment are discrete deferrable load, and power value is steps specific several values.
Some equipment such as oxygen, nitrogen production are, it is necessary to which continuous produce, and production power need to be more than a certain a reference value.
Final output equipment will reach productive target, i.e., total power consumption is greater than plan.
Production equipment load+lifestyle device load≤declares capacity/requirement, that is, the production equipment load curve after dispatching is folded
Plus after lifestyle device load curve, its total peak value is no more than declared.
Under conditions of above-mentioned constraint is met, object function is sought
Objective=min (pricejian* ∑s Ljian+pricefeng*∑Lfeng+pricegu*∑Lgu)
Unlatching/the closed mode and specific power meter of each equipment of industrial user each period under prioritization scheme can be solved
Draw.
Fig. 2 is detailed for six period of the three rates price in Zhejiang Province's sales rate of electricity table for big industrial user, it can be seen that
It is divided within 24 hours one day 6 periods of interval endlessly, sharp electricity price, peak electricity price, three rates of paddy electricity valency is corresponded to respectively.By
Figure direct feel understands that should try one's best reduction point, the electricity consumption of peak period, is changed to carry out electricity consumption in the paddy period as far as possible, to save cost
Need to carry out reasonably optimizing scheduling.
Fig. 3 and Fig. 4 represent the daily load distribution curve before and after certain industrial user's Optimized Operation, it is assumed that the user includes 5
Equipment, maximum/small-power limitation and minimum start/stop time restriction such as following table.
| Equipment 1 | Equipment 2 | Equipment 3 | Equipment 4 | Equipment 5 | |
| Minimum power | 20 | 40 | 5 | 30 | 40 |
| Peak power | 100 | 50 | 20 | 70 | 80 |
| The minimum opening time | 6 | 30 | 1 | 2 | 2 |
| Minimum dwell time | 3 | 4 | 3 | 2 | 2 |
The activity relation of sequencing is as follows：Equipment 2 could be opened after equipment 1 opens 2 periods；Equipment 3 is being set
It could be opened after standby 22 periods of unlatching；Equipment 4 could be opened after equipment 1,2,3,5 opens a period.
Equipment 3 is discrete adjustable device, and desirable value is [0,5,10,15,20].
Equipment 5 is continuous producing apparatus.
Total power consumption of equipment 4 is more than plan.
Compare and understand, unscheduled industrial user's electric cost is significantly greater than the electric cost after optimization, saving ratio reaches
To 14.21%.Therefore power spikes can effectively be reduced using the power program optimization design of the present invention, reduces electricity cost, it is real
Intellectuality, rationalization that existing industrial user's electricity consumption is arranged.
Described above is only some embodiments of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (5)
1. the power program optimization method of a kind of industrial user, it is characterised in that comprise the following steps：
Step one：The electricity consumption time is divided into the period, the electricity consumption initial time of industrial user, electricity consumption duration and power consumption are used
Period represents.
Step 2：Based on existing electricity charge pricing mode, lifestyle device load and production equipment load are categorized into user equipment, and
This two class is modeled respectively；
Step 3：To lifestyle device, using the power-system short-term load forecasting method based on SVM, with reference to history extraneous factor
Condition and history daily load data, constructing can predict that the life of following daily load data is set according to future outside conditions
Standby load forecasting model, carries out capacity/requirement according to forecast model and declares；Cluster plan is carried out to history daily load curve simultaneously
Close, construct the daily load curve of lifestyle device.
Step 4：On the premise of production equipment constraints is met, the object function of minimum cost, wherein object function are solved
For：
Objective=min (pricejian* ∑s Ljian+pricefeng*∑Lfeng+pricegu*∑Lgu)
Wherein Objective represents the minimum day production cost of industrial user；Pricejian, pricefeng, pricegu distinguish
Represent three carried out for industrial user and take the sharp electricity charge made in six period charge methods, the peak electricity charge, paddy electricity expense；Ljian、Lfeng、
LguSharp period, peak period, the instant load of production equipment of paddy period are represented respectively.
Using MATLAB routine call Cpelx optimized algorithm bags, above-mentioned minimum cost is solved in the case where meeting constraints
Object function, industrial user's electricity consumption prioritization scheme after being optimized.
2. the power program optimization method of industrial user according to claim 1, it is characterised in that：The step one is specific
It is：It was divided into n period by one day, by equipment 1 in intraday electricity consumption situation vector L1To represent：In formulaThe power that equipment 1 is collected n-th of period is represented, the average work(of this time is used as
Rate.
3. the power program optimization method of industrial user according to claim 1, it is characterised in that：Classification is in step 2
Whether can artificially be dispatched according to the equipment；According to existing electricity charge pricing mode, the electricity charge of industrial user are comprising basic
The electricity charge and power cost；Basic charge as per installed capacity refers to the Capacity Cost by user power utilization capacity or requirement calculating, capacity=attaching transformer
Capacity+and not by the high-tension motor capacity of the transformer, requirement is the user power utilization mean power in 15 minutes；Power cost
Refer to the cost of electric energy calculated by the user power utilization number of degrees, industrial user uses the tou power price of the period of three rate six, during Critical Peak Pricing
Section is 19：00-21：00, the peak electricity tariff period is 8：00-11：00,13：00-19：00,21：00-22：00, off-peak electricity price period
For 11：00-13：00,22：00- next day 8：00；The lifestyle device load that can not artificially dispatch is used to calculate Capacity Cost, can be with
The production equipment load artificially dispatched is used to calculate the cost of electric energy.
4. the power program optimization method of industrial user according to claim 1, it is characterised in that：Designed in step 3
Extraneous factor refers to temperature, humidity and day type.
5. the power program optimization method of industrial user according to claim 1, it is characterised in that：In the step 4 about
Beam condition includes peak power limitation, minimum power limitation, minimum opening time limitation, minimum dwell time limitation, process limit
System, device type limitation, production schedule requirement, peak load limitation.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108009717A (en) * | 2017-11-29 | 2018-05-08 | 上海索广电子有限公司 | A kind of enterprise energy management system based on browser |
| CN109447179A (en) * | 2018-11-13 | 2019-03-08 | 广州凌正信息科技有限公司 | Community's Property Management System based on big data |
| CN110097207A (en) * | 2019-03-21 | 2019-08-06 | 普元电力发展有限公司 | The method that industrial equipment determines available machine time point |
| CN111987715A (en) * | 2020-08-14 | 2020-11-24 | 新奥数能科技有限公司 | Load regulation and control method and device |
| CN112712351A (en) * | 2021-01-19 | 2021-04-27 | 南通大学 | Chemical enterprise electrical equipment intermittent process operation management method and device |
| CN113095595A (en) * | 2021-05-06 | 2021-07-09 | 广东鹰视能效科技有限公司 | Energy efficiency optimization method and system based on power distribution operation and maintenance |
| CN113157801A (en) * | 2021-04-21 | 2021-07-23 | 内蒙古电力（集团）有限责任公司乌兰察布电业局 | Power utilization time sequence data visual display method and system and readable medium |
| CN113780625A (en) * | 2021-08-12 | 2021-12-10 | 邹平市供电有限公司 | Method, system, terminal and storage medium for predicting user electric charge |
| CN113850496A (en) * | 2021-09-22 | 2021-12-28 | 广东电网有限责任公司 | Power utilization planning method and device, electronic equipment and storage medium |
| CN117495056A (en) * | 2023-12-28 | 2024-02-02 | 西安民为电力科技有限公司 | Power consumption data monitoring and optimizing method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108009717A (en) * | 2017-11-29 | 2018-05-08 | 上海索广电子有限公司 | A kind of enterprise energy management system based on browser |
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| CN113095595A (en) * | 2021-05-06 | 2021-07-09 | 广东鹰视能效科技有限公司 | Energy efficiency optimization method and system based on power distribution operation and maintenance |
| CN113780625A (en) * | 2021-08-12 | 2021-12-10 | 邹平市供电有限公司 | Method, system, terminal and storage medium for predicting user electric charge |
| CN113780625B (en) * | 2021-08-12 | 2024-02-02 | 邹平市供电有限公司 | User electricity charge prediction method, system, terminal and storage medium |
| CN113850496A (en) * | 2021-09-22 | 2021-12-28 | 广东电网有限责任公司 | Power utilization planning method and device, electronic equipment and storage medium |
| CN117495056A (en) * | 2023-12-28 | 2024-02-02 | 西安民为电力科技有限公司 | Power consumption data monitoring and optimizing method and system |
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Application publication date: 20170926 |