CN104184214A - Monitoring method for building electrical loads - Google Patents
Monitoring method for building electrical loads Download PDFInfo
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- CN104184214A CN104184214A CN201410462723.3A CN201410462723A CN104184214A CN 104184214 A CN104184214 A CN 104184214A CN 201410462723 A CN201410462723 A CN 201410462723A CN 104184214 A CN104184214 A CN 104184214A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/242—Home appliances
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- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention relates to a monitoring method for building electrical loads. The monitoring method comprises the steps that electricity information of electrical equipment in a building can be collected in real time, the building electrical loads are predicted according to the collected historical information to obtain a building electrical curve, a power distribution system can obtain dispatching information of a last-level distribution network in real time, and a power supply strategy of the electrical equipment of the building is determined by the combination of the building electrical curve and the dispatching information of the last-level distribution network so as to meet the electricity requirement of the building equipment and the dispatching requirement of the last-level distribution network to the greatest extent, and power consuming efficiency and reliability are greatly improved.
Description
Affiliated technical field
The present invention relates to a kind of building power load method for supervising.
Background technology
The intellectuality of electrical network, it is to be based upon on the basis of integrated, high-speed bidirectional communication network, by the application of advanced sensing and measuring technique, advanced equipment and technology, advanced control method and advanced DSS technology, realize the target of reliable, the safety, economy of electrical network, efficient, environmental friendliness and use safety.Intelligent grid is a full automatic electric power transmission network, can the each user of monitoring and controlling and grid nodes, ensure from power plant to terminal use the information between all nodes and the two-way flow of electric energy in whole power transmission and distribution process.
Power consumer load is rationally controlled, not only can effectively be improved the shape of load curve, but also can improve the utilance of equipment.Along with going deep into of intelligent grid and demand Side Management theory, the operational mode of electrical network is just towards the new future development of two-way interaction, polynary service, intelligent response, efficient energy-saving.User is more and more higher to the requirement of electricity consumption service, and electrical network electricity consumption service mode leading, user's passive receive can not meet the demand for services of user individual, differentiation in the past.
Building intelligent distribution system is a kind of community distribution terminal system for the intelligent residence exploitation more and more widely of application in current city, can coordinate with distribution network automated main website, grid automation substation system, realize the functions such as multiple houses, multiple power consumption equipment, many data acquisitions by electric line, load detection, fault detect, automatic switchover power supply, thus realize energy-conservation, improve power distribution efficiency and reliability.
In building intelligent distribution system, the prediction of power load and monitoring are the key factors that improves power distribution efficiency, energy savings always, are also one of Technology Difficulties in building intelligent distribution system.Particularly in the peak times of power consumption in summer, electric power supply wretched insufficiency, power circuit, transformer fault take place frequently, and electricity usage are optimized to scheduling more urgent.
Summary of the invention
For addressing the above problem, the invention provides a kind of building power load method for supervising, this method for supervising can Real-time Collection building in the power information of power consumption equipment, and according to the historical information gathering, the power load of building is predicted and obtained building electricity consumption curve, distribution system also can Real-time Obtaining upper level distribution network schedule information, and in conjunction with the schedule information of building electricity consumption curve and upper level distribution network, determine the power supply strategy of building power consumption equipment, farthest to meet the scheduling requirement of building equipment need for electricity and higher level's distribution network, power consumption efficiency and reliability are improved greatly.
To achieve these goals, the invention provides a kind of building power load method for supervising, this method for supervising moves based on a kind of building intelligent distribution system, and this system comprises:
Power consumption equipment information acquisition module, for the power information of each power consumption equipment in Real-time Collection building;
Power consumption equipment information storage module, the power information gathering for storing above-mentioned information acquisition module;
Higher level's distribution network contact module, for the schedule information of Real-time Obtaining higher level distribution network, and superior distribution network is uploaded the relevant information of building intelligent distribution system;
Load prediction and monitoring module, for:
(1) according to the historical power information of above-mentioned memory module storage, the power load of building is predicted, obtained load curve;
(2), according to the schedule information of load curve and higher level's power distribution network, determine the power supply strategy to each power consumption equipment;
Power supply Executive Module, for according to above-mentioned power supply strategy, realizes the execution of each power consumption equipment instruction of specifically powering;
Bus communication module, for the communication between above-mentioned modules;
Comprise UPS module, for higher level's distribution network failure or the scheduling volume deficiency in the situation that, give the crucial power consumption equipment power supply in building;
This method for supervising comprises the steps:
(1) the power information data of collection power consumption equipment;
(2) analyze the historical power information in data acquisition module, and predict active power the generation forecast value of described power consumption equipment in special time period, obtain the load curve of building according to predictor calculation matching;
(3) according to the real-time power information of load curve, higher level's power distribution network schedule information and each power consumption equipment, determine current power supply strategy: predicted value and threshold value are compared, and send and regulate power load instruction according to the difference of predicted value and threshold value, if predicted value is more than or equal to threshold value, send power load instruction and regulate the technical performance parameter of these power consumption equipments; If predicted value is less than threshold value, according to user's request, these power consumption equipments are powered;
(4) show load curve, schedule information, current each equipment power information and current power supply strategy.
Preferably, in above-mentioned steps (1), gather multiplely by the data of power consumption equipment simultaneously, comprise voltage, electric current, active power, reactive power and electric energy.
Preferably, at step (2) applied load forecast model, analyze the historical power information of above-mentioned power consumption equipment, active power the generation forecast value of above-mentioned power consumption equipment in prediction special time period.
Preferably, described threshold value is determined jointly by higher level's power distribution network schedule information, Building Power Distribution line parameter circuit value, power consumption equipment parameter.
Preferably, in above-mentioned steps (3), applied load control model, predicted value and threshold value are compared, according to the comparative result of predicted value and threshold value, send power consumption equipment power load and carry out instruction, by power supply Executive Module, regulate the technical performance parameter of power consumption equipment.
Preferably, if above-mentioned threshold value is greater than predicted value, power so policy development unit in the time determining the power load instruction of power consumption equipment 1-n, specifically adopt with the following method:
(31) obtain and control parameter information and dispatching of power netwoks information, described control parameter information comprises: the power consumption equipment parameter information that user arranges;
(32) what reception user inputted includes the control command of establishing control model;
(33) according to described default control pattern, described control parameter information and described dispatching of power netwoks Information generation default control instruction set;
(34) send power consumption equipment power load according to described default control instruction set and carry out instruction.
Method for supervising tool provided by the invention has the following advantages: (1) Accurate Prediction power load, realizes and detecting in real time and personalized power supply power consumption equipment; (2) power supply strategy is taken into account power consumption equipment demand, higher level's distribution network dispatching requirement, meets user simultaneously, has taken into account the reliability of electricity consumption, has improved power consumption efficiency simultaneously.
Brief description of the drawings
Fig. 1 shows the block diagram of a kind of building intelligent distribution system of the present invention's use;
Fig. 2 shows the load prediction of system in Fig. 1 and the concrete composition diagram of monitoring module;
Fig. 3 shows the flow chart of this law method.
Embodiment
Fig. 1 shows a kind of building intelligent distribution system of the present invention, and this system comprises: power consumption equipment information acquisition module 7, power consumption equipment information storage module 8, higher level's distribution network contact module 3, load prediction and monitoring module 4, power supply Executive Module 6, bus communication module 2, UPS module 9.
Wherein, power consumption equipment information acquisition module 7, for the power information of each power consumption equipment 1-n in Real-time Collection building.Described power consumption equipment information acquisition module 7 comprises voltage transformer, current transformer, A/D convertor circuit, serial communication circuit and power supply, the signal output part of voltage transformer summation current transformer is connected with A/D convertor circuit, A/D convertor circuit and serial communication circuit join, serial communication circuit and above-mentioned bus communication module are joined, thereby realize the data of power consumption equipment information acquisition module to the transmission of other modules.Described power consumption equipment information acquisition module gathers multiple by the data of power consumption equipment simultaneously, comprises voltage, electric current, active power, reactive power and electric energy.
Power consumption equipment information storage module 8, the power information gathering for storing above-mentioned information acquisition module 7.Be used for receiving power consumption equipment 1-n power information and decoded after be stored in Database Systems, load prediction and monitoring module 4 are transferred the power information information in Database Systems by bus 2.
Higher level's distribution network contact module 3, for the schedule information of Real-time Obtaining higher level distribution network 1, and superior distribution network 1 is uploaded the relevant information of building intelligent distribution system.
Power supply Executive Module 6, for according to above-mentioned power supply strategy, realizes the execution of each power consumption equipment instruction of specifically powering.Described power supply Executive Module is included as the power supply performance element that each power consumption equipment 1-n installs, and this power supply performance element comprises:
Power input interface, connects power transmission line;
Power output interface, connects use electric loading;
Hand control switch FS and bus-controlled switching NS, be connected in load circuit, control load break-make.
Bus communication module 2, for the communication between above-mentioned modules, described bus communication module 2 is connected with other modules by redundancy dual CAN bus.
Above-mentioned intelligent distribution system also comprises UPS module 9, for higher level's distribution network failure or the scheduling volume deficiency in the situation that, gives the crucial power consumption equipment power supply in building.
Load prediction and monitoring module 4, for: (1) according to the historical power information of above-mentioned memory module storage 8, is predicted the power load of building, is obtained load curve; (2), according to the schedule information of load curve and higher level's power distribution network, determine the power supply strategy to each power consumption equipment 1-n.
Referring to Fig. 2, this load prediction and monitoring module 4 comprise:
Arithmetic element 41, for according to the historical information of above-mentioned power consumption equipment information storage module storage 8, calculates and matching obtains the load curve of building;
Power supply policy development unit 42, according to the real-time power information of load curve, higher level's power distribution network 1 schedule information and each power consumption equipment 1-n, determines current power supply strategy;
Display device 43, for showing load curve, schedule information, current each equipment power information and current power supply strategy.
In arithmetic element 41, there is load forecasting model, for analyzing the historical power information of power consumption equipment 1-n, active power the generation forecast value of above-mentioned power consumption equipment in prediction special time period.
In power supply policy development unit 42, there is load and control model, for predicted value and threshold value are compared, according to the comparative result of predicted value and threshold value, send power consumption equipment 1-n power load and carry out instruction, by power supply Executive Module, regulate the technical performance parameter of power consumption equipment 1-n.Described threshold value is determined jointly by higher level's power distribution network 1 schedule information, Building Power Distribution line parameter circuit value, power consumption equipment parameter.
Participate in Fig. 3, method for supervising of the present invention comprises the steps:
S1. gather the power information data of power consumption equipment 1-n;
S2. analyze the historical power information in data acquisition module 8, and predict active power the generation forecast value of described power consumption equipment 1-n in special time period, obtain the load curve of building according to predictor calculation matching;
S3. according to the real-time power information of load curve, higher level's power distribution network 1 schedule information and each power consumption equipment, determine current power supply strategy: predicted value and threshold value are compared, and send and regulate power load instruction according to the difference of predicted value and threshold value, if predicted value is more than or equal to threshold value, send power load instruction and regulate the technical performance parameter of these power consumption equipments; If predicted value is less than threshold value, according to user's request, these power consumption equipments are powered;
S4. show load curve, schedule information, current each equipment power information and current power supply strategy.
Preferably, in above-mentioned steps S1, gather multiplely by the data of power consumption equipment simultaneously, comprise voltage, electric current, active power, reactive power and electric energy.
Preferably, at step S2 applied load forecast model, analyze the historical power information of above-mentioned power consumption equipment, active power the generation forecast value of above-mentioned power consumption equipment in prediction special time period.
Preferably, described threshold value is determined jointly by higher level's power distribution network schedule information, Building Power Distribution line parameter circuit value, power consumption equipment parameter.
Preferably, in above-mentioned steps S3, applied load control model, predicted value and threshold value are compared, according to the comparative result of predicted value and threshold value, send power consumption equipment power load and carry out instruction, by power supply Executive Module, regulate the technical performance parameter of power consumption equipment.
Preferably, if above-mentioned threshold value is greater than predicted value, power so policy development unit in the time determining the power load instruction of power consumption equipment 1-n, specifically adopt with the following method:
S31. obtain and control parameter information and dispatching of power netwoks information, described control parameter information comprises: the power consumption equipment parameter information that user arranges;
S32. receive the control command of establishing control model that includes of user's input;
S33. according to described default control pattern, described control parameter information and described dispatching of power netwoks Information generation default control instruction set;
S34. send power consumption equipment power load according to described default control instruction set and carry out instruction.
Above content is in conjunction with concrete preferred implementation further description made for the present invention, can not assert that specific embodiment of the invention is confined to these explanations.For general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, make some being equal to substitute or obvious modification, and performance or purposes identical, all should be considered as belonging to protection scope of the present invention.
Claims (6)
1. a building power load method for supervising, this method for supervising moves based on a kind of building intelligent distribution system, and this system comprises:
Power consumption equipment information acquisition module, for the power information of each power consumption equipment in Real-time Collection building;
Power consumption equipment information storage module, the power information gathering for storing above-mentioned information acquisition module;
Higher level's distribution network contact module, for the schedule information of Real-time Obtaining higher level distribution network, and superior distribution network is uploaded the relevant information of building intelligent distribution system;
Load prediction and monitoring module, for:
(1) according to the historical power information of above-mentioned memory module storage, the power load of building is predicted, obtained load curve;
(2), according to the schedule information of load curve and higher level's power distribution network, determine the power supply strategy to each power consumption equipment;
Power supply Executive Module, for according to above-mentioned power supply strategy, realizes the execution of each power consumption equipment instruction of specifically powering;
Bus communication module, for the communication between above-mentioned modules;
Comprise UPS module, for higher level's distribution network failure or the scheduling volume deficiency in the situation that, give the crucial power consumption equipment power supply in building;
This method for supervising comprises the steps:
(1) the power information data of collection power consumption equipment;
(2) analyze the historical power information in data acquisition module, and predict active power the generation forecast value of described power consumption equipment in special time period, obtain the load curve of building according to predictor calculation matching;
(3) according to the real-time power information of load curve, higher level's power distribution network schedule information and each power consumption equipment, determine current power supply strategy: predicted value and threshold value are compared, and send and regulate power load instruction according to the difference of predicted value and threshold value, if predicted value is more than or equal to threshold value, send power load instruction and regulate the technical performance parameter of these power consumption equipments; If predicted value is less than threshold value, according to user's request, these power consumption equipments are powered;
(4) show load curve, schedule information, current each equipment power information and current power supply strategy.
2. the method for claim 1, is characterized in that, in above-mentioned steps (1), gathers multiplely by the data of power consumption equipment simultaneously, comprises voltage, electric current, active power, reactive power and electric energy.
3. method as claimed in claim 2, is characterized in that, at step (2) applied load forecast model, analyzes the historical power information of above-mentioned power consumption equipment, active power the generation forecast value of above-mentioned power consumption equipment in prediction special time period.
4. method as claimed in claim 3, is characterized in that, described threshold value is determined jointly by higher level's power distribution network schedule information, Building Power Distribution line parameter circuit value, power consumption equipment parameter.
5. method as claimed in claim 4, it is characterized in that, in above-mentioned steps (3), applied load control model, predicted value and threshold value are compared, according to the comparative result of predicted value and threshold value, send power consumption equipment power load and carry out instruction, by power supply Executive Module, regulate the technical performance parameter of power consumption equipment.
6. method as claimed in claim 5, is characterized in that, if above-mentioned threshold value is greater than predicted value, powers so policy development unit in the time determining the power load instruction of power consumption equipment 1-n, specifically adopts with the following method:
(31) obtain and control parameter information and dispatching of power netwoks information, described control parameter information comprises: the power consumption equipment parameter information that user arranges;
(32) what reception user inputted includes the control command of establishing control model;
(33) according to described default control pattern, described control parameter information and described dispatching of power netwoks Information generation default control instruction set;
(34) send power consumption equipment power load according to described default control instruction set and carry out instruction.
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Cited By (10)
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CN106058940A (en) * | 2016-07-25 | 2016-10-26 | 党祺云 | Great data based electric green energy link system and method |
CN107341562A (en) * | 2017-05-25 | 2017-11-10 | 杭州赫智电子科技有限公司 | A kind of building energy management system and energy management method for merging demand response |
CN107703854A (en) * | 2017-10-26 | 2018-02-16 | 国网黑龙江省电力有限公司信息通信公司 | power load monitoring system and method |
CN107907759A (en) * | 2017-10-26 | 2018-04-13 | 国网黑龙江省电力有限公司信息通信公司 | The electricity monitoring system and method for power equipment |
CN108965440A (en) * | 2018-07-23 | 2018-12-07 | 珠海格力电器股份有限公司 | Engineering information collection method and device, intelligent terminal and cloud server |
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CN111600304A (en) * | 2020-06-17 | 2020-08-28 | 广东工业大学 | A building power dispatching method, device and equipment |
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1618157A (en) * | 2001-11-30 | 2005-05-18 | 英科电子有限公司 | System for remotely controlling energy distribution at local sites |
CN102621900A (en) * | 2011-01-27 | 2012-08-01 | 三星电子株式会社 | Electrical instrument, power management apparatus, power management system having the same, and method for controlling the same |
CN102723785A (en) * | 2012-07-03 | 2012-10-10 | 广东电网公司电力科学研究院 | Electric power load prediction method and electric power load prediction system based on collection of larger user intelligent terminal |
WO2012136836A1 (en) * | 2011-04-08 | 2012-10-11 | Sma Solar Technology Ag | Optimized load management |
-
2014
- 2014-09-12 CN CN201410462723.3A patent/CN104184214B/en not_active Expired - Fee Related
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1618157A (en) * | 2001-11-30 | 2005-05-18 | 英科电子有限公司 | System for remotely controlling energy distribution at local sites |
CN102621900A (en) * | 2011-01-27 | 2012-08-01 | 三星电子株式会社 | Electrical instrument, power management apparatus, power management system having the same, and method for controlling the same |
WO2012136836A1 (en) * | 2011-04-08 | 2012-10-11 | Sma Solar Technology Ag | Optimized load management |
CN102723785A (en) * | 2012-07-03 | 2012-10-10 | 广东电网公司电力科学研究院 | Electric power load prediction method and electric power load prediction system based on collection of larger user intelligent terminal |
Cited By (14)
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---|---|---|---|---|
CN106058940A (en) * | 2016-07-25 | 2016-10-26 | 党祺云 | Great data based electric green energy link system and method |
CN106058940B (en) * | 2016-07-25 | 2018-10-12 | 党祺云 | A kind of electric power green energy resource link system and method based on big data |
CN107341562A (en) * | 2017-05-25 | 2017-11-10 | 杭州赫智电子科技有限公司 | A kind of building energy management system and energy management method for merging demand response |
CN107703854A (en) * | 2017-10-26 | 2018-02-16 | 国网黑龙江省电力有限公司信息通信公司 | power load monitoring system and method |
CN107907759A (en) * | 2017-10-26 | 2018-04-13 | 国网黑龙江省电力有限公司信息通信公司 | The electricity monitoring system and method for power equipment |
CN109470912A (en) * | 2018-04-10 | 2019-03-15 | 国网浙江省电力有限公司嘉兴供电公司 | A method and system for early warning of faults in power distribution rooms for users |
CN109470912B (en) * | 2018-04-10 | 2020-12-22 | 国网浙江省电力有限公司嘉兴供电公司 | A method and system for early warning of faults in power distribution rooms for users |
CN108965440A (en) * | 2018-07-23 | 2018-12-07 | 珠海格力电器股份有限公司 | Engineering information collection method and device, intelligent terminal and cloud server |
CN110082580A (en) * | 2019-04-19 | 2019-08-02 | 安徽集黎电气技术有限公司 | A kind of graphical electrical parameter monitoring system |
CN111600304A (en) * | 2020-06-17 | 2020-08-28 | 广东工业大学 | A building power dispatching method, device and equipment |
CN111600304B (en) * | 2020-06-17 | 2021-11-26 | 广东工业大学 | Building power scheduling method, device and equipment |
CN112415963A (en) * | 2020-11-13 | 2021-02-26 | 珠海格力电器股份有限公司 | Building-level energy control method, control device and system and processor |
CN112415963B (en) * | 2020-11-13 | 2022-02-08 | 珠海格力电器股份有限公司 | Building-level energy control method, control device and system and processor |
CN113222429A (en) * | 2021-05-20 | 2021-08-06 | 国网山东省电力公司潍坊供电公司 | Power grid power consumption demand supervision method based on geographic information consistency verification |
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