CN104113140A - Industrial enterprise plant-level power demand control system and devices - Google Patents
Industrial enterprise plant-level power demand control system and devices Download PDFInfo
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- CN104113140A CN104113140A CN201410354083.4A CN201410354083A CN104113140A CN 104113140 A CN104113140 A CN 104113140A CN 201410354083 A CN201410354083 A CN 201410354083A CN 104113140 A CN104113140 A CN 104113140A
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Abstract
The invention discloses an industrial enterprise plant-level power demand control system and devices. The industrial enterprise plant-level power demand control system and the devices include that the system comprises power demand optimized analysis modules of an optimized dispatching layer, power demand control devices of a monitoring layer and power demand executive devices of a normal control layer, communication of the optimized dispatching layer and the monitoring layer is performed in a MODBUS-TCP mode, and communication among the devices is performed in a GOOSE mode. According to the system, the power demand optimized analysis modules figure out demand control target values according to prediction and trend analysis results and combination with real-time information of a power demand flow network, then the demand control target values are sent down to the power demand control devices of the monitoring layer, the devices perform optimizing calculation on load adjustment amount according to actual operating states of control objects of controlled areas, control orders are sent down to the power demand executive devices of the normal control layer, and closed-loop control over the control objects can be achieved.
Description
Technical field
The invention belongs to the control field of industrial processes, particularly a kind of level of factory power demand control system and device.
Background technology
In every cost of industrial enterprise, the electricity charge have become the cost that follows Material Cost, cost of labor the 3rd or the large maximum of Section 4 afterwards closely, particularly in some high energy-consuming enterprises, the electricity charge become topmost cost but, many enterprises are due to each side reasons such as management, technique, technology, electricity consumption utilization ratio is on the low side, there is higher energy-saving potential, therefore by the employing of electric power energy-saving technology, reduction electric cost expenditure cost, raising profit margin have caused concern and the attention of more and more industrial enterprises.
At present China in large size industrial enterprise user, be subject to piezoelectric transformer capacity at 315kVA or power consumption equipment installed capacity the user more than 315kVA, carry out two electricity prices processed, be electric degree electricity price and basic electricity price, basic electricity price is to calculate the foundation of electricity price according to the transformer capacity of industrial enterprise or maximum demand (i.e. the maximum of every 15 minutes of middle of each month or 30 minutes average loads) conduct, there are power supply department and electricity consumption department to sign a contract, determine limit, monthly fixedly collect, not taking actual power consumption quantity as transfer; Electric degree electricity price is the electricity price of calculating by the electricity consumption department actual power consumption number of degrees.Maximum demand refers to the average power of metering (being generally one month) certain a period of time (15 minutes or 30 minutes) client's electricity consumption within certain accounting period, retains the maximum demand of its maximum indicated value as this accounting period.Answer the operational mode of the each operation of reasonable arrangement as the industrial enterprise of basic electricity price charging for adopting " maximum demand ", avoid powerful device start simultaneously or move as far as possible, to effectively control the operation with impact load characteristic especially, reduce the peak load of enterprise, and to realize above-mentioned target, to operate artificially and be difficult to accomplish, need to rely on power demand control system to control enterprise's requirement, change by power, power time delay, the means such as power excision realize the rational allocation to business electrical, reduce the impact of impulse current on power equipment, improve business electrical quality, reduce business electrical cost.
Existing maximum demand control device generally all adopts the mode of single device to carry out monitoring and controlling to requirement examination point device, cannot set up enterprise's level of factory power demand control model, can not take into account the power load situation of other operation in the time controlling; Do not configure power demand final controlling element, there is no the collecting unit of self, can only gather electric degree information by kilowatt-hour meter, the process data of more difficult collection control appliance.
Summary of the invention
Object of the present invention, be to provide a kind of industrial enterprise level of factory power demand control system, it is by setting up three layers of power demand optimized Control Mode of industrial enterprise, the operational mode of the each electricity consumption operation of reasonable arrangement enterprise, avoid powerful device start simultaneously or move as far as possible, to effectively control the operation with impact load characteristic especially, by power change, the means such as power time delay, power excision realize the rational allocation to business electrical, reduce the impact of impulse current on power equipment, improve business electrical quality, reduce business electrical cost.
Technical scheme of the present invention is:
A kind of industrial enterprise level of factory power demand control system, this system is optimized analysis module by the power demand of Optimized Operation layer, the power demand control device of supervisory layers and the power demand final controlling element of conventional key-course form, wherein, Optimized Operation layer and supervisory layers adopt MODBUS-TCP mode to carry out communication, between device, adopt GOOSE mode, this system is optimized analysis module according to prediction and trend analysis result by power demand, in conjunction with the real time information of power demand flow network, calculate demand control desired value, then be handed down to the power demand control device of described supervisory layers, the power demand control device of described supervisory layers is according to the actual motion state of region within the jurisdiction control object, load adjustment amount is optimized to calculating, and control command is handed down to the power demand final controlling element of conventional key-course, realize the closed-loop control to control object.
In such scheme: the power demand optimization analysis module of Optimized Operation layer is served five parts by the modeling of power demand flow network, load prediction, trend analysis, Optimal Decision-making and control and formed:
A) modeling of power demand flow network, according to the electric network composition of industrial enterprise and power consumption characteristics, by power supply point, transmission facility, terminal load, adopts artwork storehouse method of integrated modeling to carry out modeling, forms level of factory power demand flow network model;
B) load prediction is for the part throttle characteristics of the power load of industrial enterprise, being divided into three types predicts: power supply critical point load prediction, equivalent electro-load forecast, special procedure load prediction, wherein, power supply critical point load prediction is applied in requirement examination point, it is large that equivalent electro-load forecast is applicable to power load, load variations is operation load stably, and special procedure load prediction is for the larger impact load of load variations;
C) trend analysis, taking the maximum demand of enterprise's contract engagement as benchmark, judges current power consumption situation in conjunction with load prediction results analysis, judges exactly the preferably opportunity that increases or reduce load
D) Optimal Decision-making, according to the result of trend analysis, calculates the power demand total amount that needs adjusting, in conjunction with the running status of controllable device, and adopts the method for similar nargin to calculate the demand control desired value of each supervisory layers power demand control device;
E) control the demand control desired value that service produces Optimal Decision-making, after validity check, be handed down to the device of supervisory layers by the communication modes of MODBUS-TCP, and receive its field data of uploading and control value of feedback.
The present invention also provides a kind of industrial enterprise level of factory power demand control device, is positioned at supervisory layers, and described power demand control device is processed three basic modules by data analysis processing, power demand optimization distribution, control command and formed; Described power demand control device is accepted higher level's control desired value, is optimized distribution in conjunction with the running status of the control appliance of jurisdiction controlled area, and control information is handed down to and controls power demand final controlling element, realizes the closed-loop control to field control equipment.
In such scheme: the data analysis module of described control device process on accept control desired value and the system block signal of Optimized Operation layer, and the power of each power consumption equipment, power demand and control limit are uploaded to Optimized Operation layer; Analog signals, the switching value signal of the controlled power consumption equipment in scene that lower Real-time Collection power demand final controlling element is gathered.
In such scheme: described optimization distributes specifically and refers to: the control desired value that power demand control device issues according to Optimized Operation layer, coupling apparatus real-time data collection, according to the production cost curve of each controlled power consumption equipment, adopt the method for Dynamic Programming to be optimized distribution, generate rational control command.
In such scheme: analog signals and the on-the-spot switching value signal such as the voltage of the controlled power consumption equipment of described power demand final controlling element collection site, electric current, power, electric degree, above give the power demand control device on upper strata; And accept the control command that upper strata issues, realize power change, power time delay and the power excision of on-the-spot controlled power consumption equipment.
Adopt after such scheme, the present invention has the following advantages:
(1) adopt the power demand control model of three layers (Optimized Operation layer, supervisory layers, conventional key-courses) from top to bottom, clear and definite control task at different levels, has improved the fail safe of controlling;
(2) adopt the artwork storehouse integrated technique based on flow network to set up industrial enterprise's level of factory power demand flow network model, realized the dynamic topology of power demand;
(3) to power load by the part throttle characteristics processing of classifying, form the industrial enterprise's load forecast mechanism with power supply critical point load prediction, equivalent electro-load forecast, special power consumption equipment load prediction;
(4), by power demand final controlling element, realize collection to the controlled power consumption equipment voltage in scene, electric current, electric degree, process data and the closed-loop control to equipment;
(5) utilize the present invention can be to the rational allocation of business electrical, reduce the impact of impulse current on power equipment, improve business electrical quality, reduce business electrical cost.
Brief description of the drawings
Fig. 1 is three layers of control structure of level of factory power demand control system;
Fig. 2 is the function diagram of power demand control device.
Embodiment
Below with reference to accompanying drawing, technical scheme of the present invention is elaborated.
Fig. 1 has provided three layers of control structure of level of factory power demand control system, is respectively Optimized Operation layer main website power demand and optimizes analysis module, the power demand control device of supervisory layers and the power demand final controlling element of conventional key-course.
1) power demand optimization analysis module comprises flow network model, load prediction, trend analysis and four major functions of Optimal Decision-making.Because not all operation or power equipment in industrial enterprise are all relevant to demand control, therefore need the production reality according to enterprise, adopt the artwork storehouse integratedization technology based on flow network, set up the flow network model of reflection industrial enterprise power demand; And set up the relation of node model and device model by simulator index, and by the data acquisition of automatic mapping technology realization flow network;
According to the difference of passing node equipments part throttle characteristics in power demand flow network model, will adopt different forecast model and algorithms to predict, specifically comprise power supply critical point load prediction, equivalent electro-load forecast, special procedure load prediction.Power supply critical point refers to the monitoring point of the maximum demand of enterprise and power supply department agreement; Equivalent power load refers to the power load of enterprise's same kind is superposeed, to reduce prediction measuring point quantity; Special procedure load refers to enterprise's internal loading fluctuation larger, enterprise's critical point requirement is had to the electricity consumption operation of considerable influence;
Trend analysis, taking enterprise's maximum demand contract definite value as standard, judges current power consumption situation in conjunction with load prediction results analysis, accurately and intelligently judges the preferably opportunity that increases or reduce load;
Optimal Decision-making, according to the result of trend analysis, in conjunction with the setting situation of controlling parameter, adopts the method for similar nargin to calculate the demand control desired value of each control area, and is handed down to power demand control device.
2) can configure several power demand control device according to the region difference of enterprise's power demand control, each device is set up communication with main website and is connected, and accepts higher level's control desired value and system block signal; Analog signals, the switching value signal of the controlled power consumption equipment in scene of Real-time Collection power demand final controlling element collection in worksite, and the control command of optimizing after distributing is handed down to power demand final controlling element.
3) analog signals and the on-the-spot switching value signal such as the voltage of the controlled power consumption equipment of power demand final controlling element collection site, electric current, power, electric degree, above gives the power demand control device on upper strata; And accept the control command that upper strata issues, realize power change, power time delay and the power excision of on-the-spot controlled power consumption equipment; Control command can directly be handed down to on-the-spot controlled power consumption equipment, also can, by order being handed down to PLC control system, complete the closed-loop control to field apparatus by PLC.
Fig. 2 is the function diagram of power demand control device: power demand control device is mainly processed three functional modules by data analysis processing, power demand optimization distribution, control command and formed.
Data analysis processing is the basis of power demand control, on accept higher level's control desired value and judge whether available; To under gather the status signal of each controlled power consumption equipment from power demand final controlling element, provide data message accurately for power demand optimization distributes;
The realization that power demand optimization distributes and comprises Feedback of Power and partially calculate, requirement is optimized allocation strategy.Accept the control desired value that Optimized Operation layer issues, in conjunction with the real-time power load of one's respective area, by calculating control deviation amount, and be optimized distribution between the controlled power consumption equipment of jurisdiction, control command is handed down to power demand final controlling element.
The present invention can be used for the commerce and trade enterprise of the control of large size industrial enterprise power demand, the load control of medium-sized and small enterprises region, enterprise's analysis of Power Load Characteristic and statistics and the basic electricity price charging of employing " maximum demand " conduct.
To sum up, a kind of industrial enterprise of the present invention level of factory power demand control system, adopt the artwork storehouse integrated technique based on flow network to set up power demand control flow networking model, obtain the future trends of power demand control concerned process steps and equipment by load prediction and trend analysis, formulate effective demand control strategy, and demand control value is handed down to demand control device, after optimizing distribution, realize the closed-loop control to demand control conditioning equipment by final controlling element, final realization reduced peak value requirement, peak load disappears, reduce enterprise power supply expense, the object saving production cost.
Above embodiment only, for explanation technological thought of the present invention, can not limit protection scope of the present invention with this, every technological thought proposing according to the present invention, and any change of doing on technical scheme basis, within all falling into protection range of the present invention.
Claims (6)
1. industrial enterprise's level of factory power demand control system, it is characterized in that: this system is optimized analysis module by the power demand of Optimized Operation layer, the power demand control device of supervisory layers and the power demand final controlling element of conventional key-course form, wherein, Optimized Operation layer and supervisory layers adopt MODBUS-TCP mode to carry out communication, between device, adopt GOOSE mode, this system is optimized analysis module according to prediction and trend analysis result by power demand, in conjunction with the real time information of power demand flow network, calculate demand control desired value, then be handed down to the power demand control device of described supervisory layers, the power demand control device of described supervisory layers is according to the actual motion state of region within the jurisdiction control object, load adjustment amount is optimized to calculating, and control command is handed down to the power demand final controlling element of conventional key-course, realize the closed-loop control to control object.
2. a kind of industrial enterprise as claimed in claim 1 level of factory power demand control system, is characterized in that: the power demand optimization analysis module of Optimized Operation layer is served five parts by the modeling of power demand flow network, load prediction, trend analysis, Optimal Decision-making and control and formed:
A) modeling of power demand flow network, according to the electric network composition of industrial enterprise and power consumption characteristics, by power supply point, transmission facility, terminal load, adopts artwork storehouse method of integrated modeling to carry out modeling, forms level of factory power demand flow network model;
B) load prediction is for the part throttle characteristics of the power load of industrial enterprise, being divided into three types predicts: power supply critical point load prediction, equivalent electro-load forecast, special procedure load prediction, wherein, power supply critical point load prediction is applied in requirement examination point, it is large that equivalent electro-load forecast is applicable to power load, load variations is operation load stably, and special procedure load prediction is for the larger impact load of load variations;
C) trend analysis, taking the maximum demand of enterprise's contract engagement as benchmark, judges current power consumption situation in conjunction with load prediction results analysis, judges exactly the preferably opportunity that increases or reduce load
D) Optimal Decision-making, according to the result of trend analysis, calculates the power demand total amount that needs adjusting, in conjunction with the running status of controllable device, and adopts the method for similar nargin to calculate the demand control desired value of each supervisory layers power demand control device;
E) control the demand control desired value that service produces Optimal Decision-making, after validity check, be handed down to the device of supervisory layers by the communication modes of MODBUS-TCP, and receive its field data of uploading and control value of feedback.
3. industrial enterprise's level of factory power demand control device, is characterized in that, is positioned at supervisory layers, and described power demand control device is processed three basic modules by data analysis processing, power demand optimization distribution, control command and formed; Described power demand control device is accepted higher level's control desired value, is optimized distribution in conjunction with the running status of the control appliance of jurisdiction controlled area, and control information is handed down to and controls power demand final controlling element, realizes the closed-loop control to field control equipment.
4. a kind of industrial enterprise as claimed in claim 3 level of factory power demand control device, it is characterized in that: the data analysis module of described control device process on accept control desired value and the system block signal of Optimized Operation layer, and the power of each power consumption equipment, power demand and control limit are uploaded to Optimized Operation layer; Analog signals, the switching value signal of the controlled power consumption equipment in scene that lower Real-time Collection power demand final controlling element is gathered.
5. a kind of industrial enterprise as claimed in claim 3 level of factory power demand control device, it is characterized in that: described optimization distributes specifically and refers to: the control desired value that power demand control device issues according to Optimized Operation layer, coupling apparatus real-time data collection, according to the production cost curve of each controlled power consumption equipment, adopt the method for Dynamic Programming to be optimized distribution, generate rational control command.
6. a kind of industrial enterprise as claimed in claim 3 level of factory power demand control device, it is characterized in that: analog signals and the on-the-spot switching value signal such as the voltage of the controlled power consumption equipment of described power demand final controlling element collection site, electric current, power, electric degree, above give the power demand control device on upper strata; And accept the control command that upper strata issues, realize power change, power time delay and the power excision of on-the-spot controlled power consumption equipment.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109634112A (en) * | 2017-09-13 | 2019-04-16 | 江森自控科技公司 | The building energy system merged with stochastic model PREDICTIVE CONTROL and demand charge |
| CN110829426A (en) * | 2019-11-26 | 2020-02-21 | 国网电子商务有限公司 | Method and device for adjusting maximum demand of enterprise |
| CN111342459A (en) * | 2020-03-26 | 2020-06-26 | 南京南瑞继保电气有限公司 | Power demand decision analysis system and method |
| CN115800266A (en) * | 2022-12-16 | 2023-03-14 | 上海玫克生储能科技有限公司 | Power demand control method and device, electronic equipment and storage medium |
| US12002121B2 (en) | 2017-01-12 | 2024-06-04 | Tyco Fire & Security Gmbh | Thermal energy production, storage, and control system with heat recovery chillers |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002223307A (en) * | 2001-01-24 | 2002-08-09 | Nippon Telegraph & Telephone East Corp | Energy management system |
| CN102545229A (en) * | 2010-12-30 | 2012-07-04 | 山东电力集团公司潍坊供电公司 | Reactive voltage automatic control system of regional power grid |
| CN102710013A (en) * | 2012-05-23 | 2012-10-03 | 中国电力科学研究院 | Park energy-network energy optimizing management system based on microgrids and implementing method thereof |
| CN103208085A (en) * | 2012-12-31 | 2013-07-17 | 苏州太谷能源管理股份有限公司 | Analysis intelligence system for improving load rate and reducing maximum demand of power utilization of enterprises |
| CN103872775A (en) * | 2014-03-13 | 2014-06-18 | 中国能源建设集团广东省电力设计研究院 | Intelligent micro-grid monitoring system and monitoring method |
-
2014
- 2014-07-23 CN CN201410354083.4A patent/CN104113140B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002223307A (en) * | 2001-01-24 | 2002-08-09 | Nippon Telegraph & Telephone East Corp | Energy management system |
| CN102545229A (en) * | 2010-12-30 | 2012-07-04 | 山东电力集团公司潍坊供电公司 | Reactive voltage automatic control system of regional power grid |
| CN102710013A (en) * | 2012-05-23 | 2012-10-03 | 中国电力科学研究院 | Park energy-network energy optimizing management system based on microgrids and implementing method thereof |
| CN103208085A (en) * | 2012-12-31 | 2013-07-17 | 苏州太谷能源管理股份有限公司 | Analysis intelligence system for improving load rate and reducing maximum demand of power utilization of enterprises |
| CN103872775A (en) * | 2014-03-13 | 2014-06-18 | 中国能源建设集团广东省电力设计研究院 | Intelligent micro-grid monitoring system and monitoring method |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US12002121B2 (en) | 2017-01-12 | 2024-06-04 | Tyco Fire & Security Gmbh | Thermal energy production, storage, and control system with heat recovery chillers |
| CN109634112A (en) * | 2017-09-13 | 2019-04-16 | 江森自控科技公司 | The building energy system merged with stochastic model PREDICTIVE CONTROL and demand charge |
| CN110829426A (en) * | 2019-11-26 | 2020-02-21 | 国网电子商务有限公司 | Method and device for adjusting maximum demand of enterprise |
| CN110829426B (en) * | 2019-11-26 | 2021-12-31 | 国网电子商务有限公司 | Method and device for adjusting maximum demand of enterprise |
| CN111342459A (en) * | 2020-03-26 | 2020-06-26 | 南京南瑞继保电气有限公司 | Power demand decision analysis system and method |
| CN115800266A (en) * | 2022-12-16 | 2023-03-14 | 上海玫克生储能科技有限公司 | Power demand control method and device, electronic equipment and storage medium |
| CN115800266B (en) * | 2022-12-16 | 2023-06-27 | 上海玫克生储能科技有限公司 | Power demand control method and device, electronic equipment and storage medium |
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