CN110836512A - Central air conditioner group control method based on load prediction - Google Patents
Central air conditioner group control method based on load prediction Download PDFInfo
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- CN110836512A CN110836512A CN201911114787.3A CN201911114787A CN110836512A CN 110836512 A CN110836512 A CN 110836512A CN 201911114787 A CN201911114787 A CN 201911114787A CN 110836512 A CN110836512 A CN 110836512A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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Abstract
The invention relates to a central air conditioner group control method based on load prediction, which comprises hardware configuration and operating system configuration, software installation, central air conditioner installation and communication debugging; the communication between the central air conditioner and the air conditioner monitoring platform is carried out through IEC61850 communication, and information is sent to the master station after the communication of communication programs; the real-time communication bus is based on a TCP/UDP communication technology, and realizes the high-speed sharing of the information in the system by providing a standard interface; high concurrent group control of a plurality of central air conditioners; and dispatching to issue a cooling or temperature increasing instruction to each central air conditioner according to the load prediction result of each central air conditioner, issuing a high concurrent instruction to a plurality of central air conditioners by a central air conditioner monitoring background through a 61850 communication protocol, and rapidly increasing/decreasing the running power of the central air conditioners in a group control mode. The invention transmits the regulation and control instruction through the uniform 61850 protocol, has a total station random converter, and has simple architecture and lower construction cost.
Description
Technical Field
The invention relates to the field of control of central air conditioners, in particular to a central air conditioner group control method based on load prediction.
Background
With the continuous development of urbanization in China, the number of large public buildings is increased day by day, and the high energy of the buildings is obtained
The problem of wear is also increasingly prominent. According to statistics of relevant data, the total area of the existing large public buildings in China is about 5 hundred million m < 2 > 2m, which is less than 7070 of the total area of the cities and towns, but the annual total power consumption is nearly 1000 hundred million kWh, which accounts for 22070 of the total power consumption in cities and towns, and the annual power consumption per unit area is up to 100}300kWh/(m2), which is 10-20 times that of ordinary residential houses. The large-scale comprehensive market is used as an important component of a large-scale public building, has the characteristics of large building area, large window-wall ratio, high personnel density, long operation time, high density of various lighting appliances, high energy consumption of a central air conditioner and the like, has energy-saving potential which is far higher than that of other large-scale public buildings in unit area, and has important significance for building an energy-saving and environment-friendly society.
The existing central air-conditioning control usually predicts the load of a single central air-conditioning, and adjusts the optimal chilled water supply water temperature and chilled water supply return water pressure difference value at the next moment according to the predicted result. The control mode mostly adopts an independent control mode, so that the efficiency is influenced while the reliability and the stability are ensured. And the control of the central air conditioner can only ensure the optimal local time load, but the energy-saving effect in the whole time period is difficult to ensure.
Disclosure of Invention
1. The technical problem to be solved is as follows:
in view of the above technical problems, the present invention provides a load prediction-based central air-conditioning group control method, which can send data in a data set on the premise of ensuring network bearing capacity and host performance, and has the advantages of simple architecture, low construction cost and high total station control rate.
2. The technical scheme is as follows:
a central air-conditioning group control method based on load prediction is characterized by comprising the following steps:
the method comprises the following steps: hardware configuration: the method comprises the following steps: various sensors of the equipment layer and a processor of the master station; various sensors of the equipment layer collect air conditioner operation data and transmit the air conditioner operation data to a processor of the master station; the data acquisition, namely, the real-time acquisition and storage of the load rate, the chilled water flow, the chilled water supply temperature, the condensing temperature, the chilled water pump frequency, the outdoor dry bulb temperature and the outdoor relative humidity data of the water chilling unit are realized through various sensors of the equipment layer, and meanwhile, the historical air conditioner load and the outdoor meteorological parameters are called from the data acquisition server; the master station carries out load prediction of each central air conditioner by bringing the collected data into a preset load prediction model;
step two: operating system configuration; the group control method is based on a 61850 communication architecture air conditioner monitoring platform, and a database system adopts a basic binary file library, an SQLite or other commercial databases designated by a user; the system adopts an object-oriented programming method and adopts Visual C + +, GCC, Qt and JAVA development environments.
Step three: installing platform software of a load forecasting and monitoring system; the system adopts an information platform, the browser/Server is a browser/Server structure design program, the use system is finally accessed through the browser through Web interface display, the load prediction condition of each central air conditioner is checked at any time and any place, the information platform can support various access modes of a mobile terminal, and all users and managers can conveniently acquire information in time.
Step four: installing a central air conditioner and debugging communication; the communication between the central air conditioner and the air conditioner monitoring platform is carried out through IEC61850 communication, and information is sent to the master station after the communication of communication programs; the real-time communication bus is based on a TCP/UDP communication technology, and realizes high-speed sharing of information in the system by providing a standard interface.
Step five: high concurrent group control of a plurality of central air conditioners; the group control instruction is based on a 61850 communication protocol and is completed through a fixed downward communication program according to a configuration file; dispatching and issuing a cooling or temperature increasing instruction to each central air conditioner according to the load prediction result of each central air conditioner, issuing a high concurrent instruction to a plurality of central air conditioners by a central air conditioner monitoring background through a 61850 communication protocol, and rapidly increasing/decreasing the running power of the central air conditioners in a group control mode; after the command is issued, the output power and the load rate of each central air conditioner are detected through the measurement and control protection device, compared with the command requirement, and issued again after the group control command is adjusted, so that the load of the air conditioners is ensured to meet the requirement.
Further, the load prediction model in the first step is one of a prediction model based on a regression analysis prediction method, a prediction method based on a time series, and a support vector machine prediction method.
3. Has the advantages that:
the data are uploaded to the host computer in a centralized mode, the host computer conducts centralized prediction on the load of each central air conditioner, the regulation and control instructions are transmitted through the uniform 61850 protocol, the total-station random converter is simple in structure, and construction cost is low.
Drawings
FIG. 1 is a flow chart of the present invention;
fig. 2 is an architecture diagram of data acquisition of the present invention.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings.
As shown in figure 1: a central air-conditioning group control method based on load prediction is characterized by comprising the following steps:
the method comprises the following steps: hardware configuration: the method comprises the following steps: various sensors of the equipment layer and a processor of the master station; various sensors of the equipment layer collect air conditioner operation data and transmit the air conditioner operation data to a processor of the master station; the data acquisition, namely, the real-time acquisition and storage of the load rate, the chilled water flow, the chilled water supply temperature, the condensing temperature, the chilled water pump frequency, the outdoor dry bulb temperature and the outdoor relative humidity data of the water chilling unit are realized through various sensors of the equipment layer, and meanwhile, the historical air conditioner load and the outdoor meteorological parameters are called from the data acquisition server; the master station carries out load prediction of each central air conditioner by bringing the collected data into a preset load prediction model;
step two: operating system configuration; the group control method is based on a 61850 communication architecture air conditioner monitoring platform, and a database system adopts a basic binary file library, an SQLite or other commercial databases designated by a user; the system adopts an object-oriented programming method and adopts Visual C + +, GCC, Qt and JAVA development environments.
Step three: installing platform software of a load forecasting and monitoring system; the system adopts an information platform, the browser/Server is a browser/Server structure design program, the use system is finally accessed through the browser through Web interface display, the load prediction condition of each central air conditioner is checked at any time and any place, the information platform can support various access modes of a mobile terminal, and all users and managers can conveniently acquire information in time.
Step four: installing a central air conditioner and debugging communication; the communication between the central air conditioner and the air conditioner monitoring platform is carried out through IEC61850 communication, and information is sent to the master station after the communication of communication programs; the real-time communication bus is based on a TCP/UDP communication technology, and realizes high-speed sharing of information in the system by providing a standard interface.
Step five: high concurrent group control of a plurality of central air conditioners; the group control instruction is based on a 61850 communication protocol and is completed through a fixed downward communication program according to a configuration file; dispatching and issuing a cooling or temperature increasing instruction to each central air conditioner according to the load prediction result of each central air conditioner, issuing a high concurrent instruction to a plurality of central air conditioners by a central air conditioner monitoring background through a 61850 communication protocol, and rapidly increasing/decreasing the running power of the central air conditioners in a group control mode; after the command is issued, the output power and the load rate of each central air conditioner are detected through the measurement and control protection device, compared with the command requirement, and issued again after the group control command is adjusted, so that the load of the air conditioners is ensured to meet the requirement.
Further, the load prediction model in the first step is one of a prediction model based on a regression analysis prediction method, a prediction method based on a time series, and a support vector machine prediction method.
Fig. 2 is a structural diagram of data acquisition of the method, and as shown in the diagram, a data acquisition device comprises various sensors and transmits acquired data to a host for processing. The host machine brings the collected data into a preset load prediction model to obtain the predicted load of the air conditioner at the next moment, determines the difference value between the optimized chilled water supply temperature and the supply and return water pressure at the next moment according to a chilled water system optimization method based on a genetic algorithm, and calculates the total energy consumption ratio of the central air conditioner at the moment.
The invention has the characteristics of integrated management of the master station and the slave station models and the like, and greatly improves the level of interaction with the scheduling master station and local monitoring. The burden of a monitoring host and a data network is reduced while the monitoring and the storage of the full data are realized, and the operation efficiency and the reliability of the monitoring are improved. Based on the integrated platform, functions of scheduling interaction, PCS monitoring, BMS monitoring and maintenance, protection, measurement and control and metering device access, environment management, new energy expansion access and the like can be integrated, and the integrated platform can be flexibly applied to various power system application occasions.
The group control configuration is completed through an xml configuration file, and the specific configuration file format is realized through a 61850 protocol as follows: if the configuration file indicates that PCS1-PCS20 need synchronous group control, IED names of the 20 devices are filled in the same group, and the control command of the group I is simultaneously issued to the 20 central air-conditioning hosts, so that the command and the execution time required when the remote control command is independently issued are reduced. In a similar way, a plurality of devices can be set into a plurality of group control groups, and the lower programs are uniformly issued with instructions and uniformly executed through communication, so that the quick response capability of the groups in the central air conditioner group is improved, and the stability of the output power is improved.
Although the present invention has been described with reference to the preferred embodiments, it should be understood that various changes and modifications can be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (2)
1. A central air-conditioning group control method based on load prediction is characterized by comprising the following steps:
the method comprises the following steps: hardware configuration: the method comprises the following steps: various sensors of the equipment layer and a processor of the master station; various sensors of the equipment layer collect air conditioner operation data and transmit the air conditioner operation data to a processor of the master station; the data acquisition, namely, the real-time acquisition and storage of the load rate, the chilled water flow, the chilled water supply temperature, the condensing temperature, the chilled water pump frequency, the outdoor dry bulb temperature and the outdoor relative humidity data of the water chilling unit are realized through various sensors of the equipment layer, and meanwhile, the historical air conditioner load and the outdoor meteorological parameters are called from the data acquisition server; the master station carries out load prediction of each central air conditioner by bringing the collected data into a preset load prediction model;
step two: operating system configuration; the group control method is based on a 61850 communication architecture air conditioner monitoring platform, and a database system adopts a basic binary file library, an SQLite or other commercial databases designated by a user; the system adopts an object-oriented programming method and adopts Visual C + +, GCC, Qt and JAVA development environments;
step three: installing platform software of a load monitoring system; the system adopts an information platform, a browser/Server structural design program is displayed through a Web interface, the system is accessed through the browser, the load prediction condition of each central air conditioner is checked at any time and any place, the information platform can support various access modes of a mobile terminal, and all users and managers can conveniently acquire information in time;
step four: installing a central air conditioner and debugging communication; the communication between the central air conditioner and the air conditioner monitoring platform is carried out through IEC61850 communication, and information is sent to the master station after the communication of communication programs; the real-time communication bus is based on a TCP/UDP communication technology, and realizes the high-speed sharing of the information in the system by providing a standard interface;
step five: high concurrent group control of a plurality of central air conditioners; the group control instruction is based on a 61850 communication protocol and is completed through a fixed downward communication program according to a configuration file; dispatching and issuing a cooling or temperature increasing instruction to each central air conditioner according to the load prediction result of each central air conditioner, issuing a high concurrent instruction to a plurality of central air conditioners by a central air conditioner monitoring background through a 61850 communication protocol, and rapidly increasing/decreasing the running power of the central air conditioners in a group control mode; after the command is issued, the output power and the load rate of each central air conditioner are detected through the measurement and control protection device, compared with the command requirement, and issued again after the group control command is adjusted, so that the load of the air conditioners is ensured to meet the requirement.
2. The method as claimed in claim 1, wherein the load prediction model in the first step is one of a prediction model based on regression analysis prediction, a time series prediction and a support vector machine prediction.
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| JP2017138025A (en) * | 2016-02-02 | 2017-08-10 | 株式会社日立製作所 | Operation planning system for heat source system, and operation plan determination method for heat source system |
| CN108489013A (en) * | 2018-01-30 | 2018-09-04 | 深圳市新环能科技有限公司 | Central air-conditioner control method based on genetic algorithm and load on-line amending and device |
| US20190032945A1 (en) * | 2017-07-27 | 2019-01-31 | Johnson Controls Technology Company | Central plant control system with setpoints modification based on physical constraints |
| CN110288164A (en) * | 2019-07-02 | 2019-09-27 | 广州市特沃能源管理有限公司 | A kind of building air conditioning refrigeration station system forecast Control Algorithm |
| CN110380516A (en) * | 2019-08-08 | 2019-10-25 | 国电南瑞科技股份有限公司 | A kind of energy-accumulating power station PCS high synchronizes concurrent group control method |
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2019
- 2019-11-14 CN CN201911114787.3A patent/CN110836512A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102052739A (en) * | 2010-12-27 | 2011-05-11 | 重庆大学 | Central air conditioner intelligent control system based on wireless sensor network and method |
| JP2017138025A (en) * | 2016-02-02 | 2017-08-10 | 株式会社日立製作所 | Operation planning system for heat source system, and operation plan determination method for heat source system |
| US20190032945A1 (en) * | 2017-07-27 | 2019-01-31 | Johnson Controls Technology Company | Central plant control system with setpoints modification based on physical constraints |
| CN108489013A (en) * | 2018-01-30 | 2018-09-04 | 深圳市新环能科技有限公司 | Central air-conditioner control method based on genetic algorithm and load on-line amending and device |
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