CN116123700A - Flexible load control method and device for power grid demand side response - Google Patents
Flexible load control method and device for power grid demand side response Download PDFInfo
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- CN116123700A CN116123700A CN202310110679.9A CN202310110679A CN116123700A CN 116123700 A CN116123700 A CN 116123700A CN 202310110679 A CN202310110679 A CN 202310110679A CN 116123700 A CN116123700 A CN 116123700A
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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
- F24F11/89—Arrangement or mounting of control or safety devices
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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
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/49—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring ensuring correct operation, e.g. by trial operation or configuration checks
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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
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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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
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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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
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
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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
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
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Abstract
The application relates to a flexible load control method and a flexible load control device for power grid demand side response, wherein the method comprises the steps of obtaining address values of a plurality of registers corresponding to temperature of an air conditioner; judging whether the address values are all in the temperature value range of a certain type of air conditioner; determining an acquisition data table of the air conditioner model corresponding to the acquired data table of the register; acquiring target data based on the acquisition data table; judging whether the current moment is in a response time period of the demand side according to a preset offset value; if the current moment is in the demand side response time period, adjusting target data based on a demand side response platform; and regulating and controlling operation according to the regulated target data. The control difficulty of controlling the response of the demand side is reduced, and the effect that implementation delivery of the response of the demand side is more convenient is achieved.
Description
Technical Field
The application relates to the technical field of flexible load device control, in particular to a flexible load control method and device for power grid demand side response.
Background
In summer, many cities are in need of power supply and demand with great challenges. The central air conditioning system is one of the indispensable auxiliary facilities of the modern large-scale building, the installed power and the energy consumption ratio of the central air conditioning system are high, and the central air conditioning system accounts for 40-60% of the building. But the central air conditioner has the characteristics of flexibility and adjustability, peak load generally accounts for 40% of the total load, and electricity consumption accounts for 20% -30%, and has the advantages of high flexibility, high response, small influence and the like. The demand side response is based on building equipment characteristics, physical properties, terminal feedback, weather, history curves and the like to conduct parameter dynamic programming, a flexible adjustment algorithm is formed, load accurate prediction is conducted on a central air conditioner physical and data model, an output adjustment scheme is output, and adjustment is conducted on water outlet temperature adjustment of a central air conditioner host, so that the purpose of reducing energy consumption is achieved.
Based on the method, a demand side response platform is established, modern information technologies such as Internet of things, artificial intelligence, cloud computing and big data processing and advanced communication technologies are fully utilized, double detection analysis of equipment safety and energy efficiency is carried out on building energy utilization equipment on the premise of ensuring indoor environment comfort level of a user side, an optimized operation control suggestion is provided or directly optimized control is carried out, building air conditioner loads are aggregated to participate in power grid demand response, power resources are optimally configured, waste is prevented in a power utilization link, power consumption is reduced, peak and valley shifting is carried out, and the method is beneficial to relieving power shortage and strengthening power supply safety guarantee.
At present, because the number of brands and models of the central air conditioner host is large, the communication protocols are different, unified standards are not available, and only one interface is reserved for the communication of a third party. Particularly, in the building with the building control system, the communication interface reserved for the third party communication in the central air conditioner host is occupied by the building control system, so that the control difficulty of the response platform at the demand side is high, and the implementation and delivery are complex.
In view of the above-described related art, the inventors have found that the existing demand side response control has problems of a large control difficulty and a complicated implementation and delivery.
Disclosure of Invention
In order to reduce the control difficulty of the demand side response and enable implementation and delivery of the demand side response to be more convenient, the application provides a flexible load control method and device for the power grid demand side response.
In a first aspect, the present application provides a flexible load control method for grid demand side response.
The application is realized by the following technical scheme:
a flexible load control method facing to power grid demand side response comprises the following steps,
acquiring address values of a plurality of registers corresponding to the temperature of the air conditioner;
judging whether the address values are all in the temperature value range of a certain type of air conditioner;
if the address values are all in the temperature value range of a certain type of air conditioner, determining that the type of acquired data table is the acquired data table of the register;
if any address value is located outside the temperature value range of a certain type of air conditioner, collecting address values of a plurality of registers of the air conditioner again, and judging whether the address values are located in the temperature value range of another type of air conditioner or not until an acquisition data table of the air conditioner type corresponding to the data table of the collected registers is determined;
acquiring target data based on the acquisition data table;
judging whether the current moment is in a response time period of the demand side according to a preset offset value;
if the current moment is in the demand side response time period, adjusting the target data based on a demand side response platform;
and regulating and controlling operation according to the regulated target data.
The present application may be further configured in a preferred example to: the step of judging whether the address values are all within the temperature value range of a certain model of air conditioner comprises,
acquiring the upper temperature limit value and the lower temperature limit value of any type of air conditioner;
and sequentially judging whether the address value is in the range of the upper temperature limit value and the lower temperature limit value of the air conditioner of the model.
The present application may be further configured in a preferred example to: the step of determining whether the current time is within the demand side response time period according to the preset offset value includes,
setting a response offset value based on the demand side response time period, and setting an original offset value based on the non-response time period;
acquiring a current offset value in real time;
combining the set response offset value and the original offset value, and judging whether the current offset value meets a preset condition or not;
and if the current offset value meets a preset condition, determining that the current moment is in the response time period of the demand side.
The present application may be further configured in a preferred example to: the step of determining whether the current offset value satisfies a preset condition by combining the set response offset value and the original offset value includes,
judging whether the current offset value is equal to the response offset value or not;
and if the current offset value is equal to the response offset value, the current offset value meets a preset condition.
The present application may be further configured in a preferred example to: after the step of judging whether the current offset value meets the preset condition, the method further comprises the steps of,
if the current offset value does not meet the preset condition, determining that the current moment is outside the response time period of the demand side, and adjusting the target data based on the building control system.
The present application may be further configured in a preferred example to: the step of determining whether the current offset value satisfies a preset condition by combining the set response offset value and the original offset value further includes,
if the current offset value is not equal to the response offset value, judging whether the current offset value is equal to the original offset value;
if the current offset value is equal to the original offset value, the current offset value does not meet a preset condition.
The present application may be further configured in a preferred example to: the number of the registers is four, and address values of the four registers are in one-to-one correspondence with the water inlet temperature at the condensation side, the water outlet temperature at the condensation side, the water inlet temperature at the evaporation side and the water outlet temperature at the evaporation side;
the method may further comprise the steps of,
based on machine learning, learning data information of condensing side water inlet temperature, condensing side water outlet temperature, evaporating side water inlet temperature and evaporating side water outlet temperature of each brand of air conditioner;
and outputting the upper temperature limit value and the lower temperature limit value of any type of air conditioner according to the combination rules of the communication protocols and the ideal temperature values of the air conditioners of all brands.
The present application may be further configured in a preferred example to: the target data comprise a water outlet temperature value, a current limit value, an evaporator water outlet temperature, an evaporator water inlet temperature, an air suction pressure, an air discharge pressure, an oil supply pressure difference, a condenser water inlet temperature, a condenser water outlet temperature, a unit load rate, a current refrigerating water supply temperature set value, a current limit value, an air suction pressure saturation temperature, an air discharge temperature, an oil tank temperature, a refrigerant liquid level, a unit accumulated running time, unit accumulated starting times, a unit running state, an oil tank pressure, an oil supply pressure, a guide vane opening degree and a liquid supply temperature;
the step of adjusting the target data based on the demand side response platform includes,
and based on a demand side response platform, only regulating the outlet water temperature value, and directly mapping and storing other values in the target data to the demand side response platform.
The present application may be further configured in a preferred example to: the target data comprise a water outlet temperature value, a current limit value, an evaporator water outlet temperature, an evaporator water inlet temperature, an air suction pressure, an air discharge pressure, an oil supply pressure difference, a condenser water inlet temperature, a condenser water outlet temperature, a unit load rate, a current refrigerating water supply temperature set value, a current limit value, an air suction pressure saturation temperature, an air discharge temperature, an oil tank temperature, a refrigerant liquid level, a unit accumulated running time, unit accumulated starting times, a unit running state, an oil tank pressure, an oil supply pressure, a guide vane opening degree and a liquid supply temperature;
the step of adjusting the target data based on the floor control system includes,
based on the building control system, only the outlet water temperature value is regulated, and other values in the target data are directly mapped and stored to the building control system.
In a second aspect, the present application provides a flexible load control device for grid demand side response.
The application is realized by the following technical scheme:
a flexible load control device facing the response of the power grid demand side comprises,
the temperature data module is used for acquiring address values of a plurality of registers corresponding to the temperature of the air conditioner;
the model judgment module is used for judging whether the address values are all in the temperature value range of a certain model of air conditioner;
the model matching module is used for determining that the acquired data table of the model is the data table of the acquired register if the address values are all in the temperature value range of a certain model of air conditioner; if any address value is located outside the temperature value range of a certain type of air conditioner, collecting address values of a plurality of registers of the air conditioner again, and judging whether the address values are located in the temperature value range of another type of air conditioner or not until an acquisition data table of the air conditioner type corresponding to the data table of the collected registers is determined;
the data acquisition module is used for acquiring target data based on the acquisition data table;
the demand side response judging module is used for judging whether the current moment is in a demand side response time period according to a preset offset value;
the demand side response adjustment module is used for adjusting the target data based on the demand side response platform if the current moment is in the demand side response time period;
and the control module is used for regulating and controlling operation according to the regulated target data.
In a third aspect, the present application provides a computer device.
The application is realized by the following technical scheme:
a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of any of the grid demand side response oriented flexible load control methods described above when the computer program is executed.
In a fourth aspect, the present application provides a computer-readable storage medium.
The application is realized by the following technical scheme:
a computer readable storage medium storing a computer program which when executed by a processor performs the steps of any one of the grid demand side response oriented flexible load control methods described above.
To sum up, compared with the prior art, the beneficial effects brought by the technical scheme provided by the application at least include:
acquiring address values of a plurality of registers corresponding to the temperature of the air conditioner to judge whether the address values are all in a temperature value range of a certain type of air conditioner or not, further determining the type of the air conditioner of a data table to be acquired, and automatically adapting the data table acquired by the type of the air conditioner to provide a data base for a demand side response platform, so that implementation and delivery of the demand side response platform are more convenient, and implementation and debugging difficulties of the demand side response platform are greatly reduced; acquiring target data based on the acquisition data table; judging whether the current moment is in a response time period of the demand side according to a preset offset value; if the current moment is in the demand side response time period, the target data is regulated based on the demand side response platform so as to make the conflicted control source as write permission offset, so that the problem that only one communication port exists and the control source conflictes is solved, the implementation and delivery of the demand side response platform are facilitated, the control difficulty of the demand side response control is reduced, and the implementation and delivery of the demand side response are more convenient.
Drawings
Fig. 1 is a main flowchart of a flexible load control method facing a grid demand side response according to an exemplary embodiment of the present application.
Fig. 2 is a schematic diagram of connection relation between a building control system and demand side platform data of a flexible load control method for power grid demand side response according to another exemplary embodiment of the present application.
Fig. 3 is an air conditioner model determining flowchart of a flexible load control method facing to a power grid demand side response according to another exemplary embodiment of the present application.
Fig. 4 is a flowchart of a flexible load control method for power grid demand side response according to an exemplary embodiment of the present application to solve a problem of data collision between a building control system and a demand side platform.
Fig. 5 is a block diagram of a flexible load control device facing a grid demand side response according to an exemplary embodiment of the present application.
Detailed Description
The present embodiment is merely illustrative of the present application and is not intended to be limiting, and those skilled in the art, after having read the present specification, may make modifications to the present embodiment without creative contribution as required, but is protected by patent laws within the scope of the claims of the present application.
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.
Because of the number of brands and models of the central air conditioner hosts and the different communication protocols, the implementation difficulty of mass application of the demand side response is high, and the implementation delivery is complex. Meanwhile, the problem of conflict of writing in of host parameters exists, for example, after a set value of the outlet water temperature of the host is written in by the demand side response platform, the value is covered by the next instruction of the building control platform, and the problem of conflict of preemptive writing in data by the building control system and the demand side response platform occurs.
Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.
The embodiment of the application provides a flexible load control method facing to power grid demand side response, and main steps of the method are described as follows.
Referring to FIG. 1, S1, address values of a plurality of registers corresponding to temperature of an air conditioner are obtained;
s2, judging whether the address values are all in the temperature value range of a certain type of air conditioner;
s3, if the address values are all in the temperature value range of a certain type of air conditioner, determining that the acquired data table of the type is the data table of the acquired register; if any address value is located outside the temperature value range of a certain type of air conditioner, collecting address values of a plurality of registers of the air conditioner again, and judging whether the address values are located in the temperature value range of another type of air conditioner or not until an acquisition data table of the air conditioner type corresponding to the data table of the collected registers is determined;
s4, acquiring target data based on the acquired data table;
s5, judging whether the current moment is in a response time period of the demand side according to a preset offset value;
s6, if the current moment is in the response time period of the demand side, adjusting the target data based on a response platform of the demand side;
and S7, regulating and controlling operation according to the regulated target data.
In one embodiment, the step of determining whether the address values are all within a range of temperature values for a model air conditioner includes,
acquiring the upper temperature limit value and the lower temperature limit value of any type of air conditioner;
and sequentially judging whether the address value is in the range of the upper temperature limit value and the lower temperature limit value of the air conditioner of the model.
In one embodiment, the step of determining whether the current time is within the demand side response time period according to the preset offset value includes,
setting a response offset value based on the demand side response time period, and setting an original offset value based on the non-response time period;
acquiring a current offset value in real time;
combining the set response offset value and the original offset value, and judging whether the current offset value meets a preset condition or not;
and if the current offset value meets a preset condition, determining that the current moment is in the response time period of the demand side.
In one embodiment, the step of determining whether the current offset value satisfies a preset condition by combining the set response offset value and the original offset value includes,
judging whether the current offset value is equal to the response offset value or not;
and if the current offset value is equal to the response offset value, the current offset value meets a preset condition.
In one embodiment, after the step of determining whether the current offset value meets the preset condition, the method further includes,
if the current offset value does not meet the preset condition, determining that the current moment is outside the response time period of the demand side, and adjusting the target data based on the building control system.
In one embodiment, the step of determining whether the current offset value satisfies a preset condition by combining the set response offset value and the original offset value further includes,
if the current offset value is not equal to the response offset value, judging whether the current offset value is equal to the original offset value;
if the current offset value is equal to the original offset value, the current offset value does not meet a preset condition.
Specifically, referring to fig. 2, a demand side response platform is utilized for grid demand side response oriented flexible load control. The data needed by the demand side response platform is obtained by installing a data acquisition device in each central air conditioner host computer room. The data acquisition device is connected with the central air conditioner host in a wired mode in a southerly mode, is connected with the central air conditioner host communication interface in an RS485 mode by adopting the communication port 1, acquires data in a data acquisition table of the central air conditioner host, is connected with the demand side response platform in a 4G communication mode by the 4G interface in a northly mode, and is connected with the building control system communication interface in an RS485 mode by adopting the communication port 2.
In the application, an RS485 serial port distributor is introduced to divide an RS485 serial port into two parts, and meanwhile, the RS485 serial port distributor is used for a building control system and a demand side response platform.
The data in the collection data table of the central air conditioner host computer is acquired, and the corresponding air conditioner model is required to be determined first so as to adapt to the collection data table of the central air conditioner host computer.
In an embodiment, the number of the registers is four, and address values of the four registers are in one-to-one correspondence with the condensation side water inlet temperature, the condensation side water outlet temperature, the evaporation side water inlet temperature and the evaporation side water outlet temperature;
the method may further comprise the steps of,
based on machine learning, learning data information of condensing side water inlet temperature, condensing side water outlet temperature, evaporating side water inlet temperature and evaporating side water outlet temperature of each brand of air conditioner;
and outputting the upper temperature limit value and the lower temperature limit value of any type of air conditioner according to the combination rules of the communication protocols and the ideal temperature values of the air conditioners of all brands.
In this embodiment, machine learning is performed by adopting a reinforcement learning mode, a cost function is constructed according to a rule of a communication protocol and an ideal temperature value combination carried by each brand of air conditioner, reinforcement learning is performed on the cost function by using a classifier, and a temperature upper limit value and a temperature lower limit value when the corresponding cost function of any type of air conditioner is maximum are optimized.
The same or two or more air conditioners can be arranged in the temperature value range of a certain type of air conditioner.
In a conventional central air conditioner, the condensing side water inlet and outlet temperature range is 10-40 ℃ and the evaporating side water inlet and outlet temperature range is 5-30 ℃. The temperature value of the central air conditioner host of each brand is different, and the corresponding register addresses are different.
For example, according to the communication protocol of a central air conditioner host computer of the york YK series, through machine learning, a cost function is built according to the combination rule of the communication protocol and the ideal temperature value of each brand of air conditioner, so as to obtain the upper temperature limit value and the lower temperature limit value of the type of air conditioner, wherein the A5 value corresponding to A1 and A2 corresponding to the upper temperature limit value and the lower temperature limit value is 100, the register address is 40010, the A6 value is 400 and the register address is 40011; the A5 value corresponding to A3 and A4 is 300, the register address is 40006, the A6 value is 50, and the register address is 40005.
For example, according to the central air conditioner host communication protocol of the Turing CVHG series, a cost function is constructed according to the rule of combining the communication protocol of each brand of air conditioner with an ideal temperature value through machine learning, so that the temperature upper limit value and the temperature lower limit value of the type of air conditioner are obtained, the corresponding B5 value of B1 and B2 is 1000, the register address is 30013, the B6 value is 4000, the register address is 30014, the corresponding B5 value of B3 and B4 is 3000, the register address is 30012, the B6 value is 500, and the register address is 30011.
Referring to fig. 3, in this embodiment, a manner of automatically adapting to a data collection table of a central air conditioner host is adopted to implement a plug-and-play function, so that implementation and debugging difficulties are greatly reduced.
And the value of a register corresponding to the temperature of the air conditioner is read to judge whether the air conditioner is a reasonable temperature value of a certain type of air conditioner, and the normal temperature value is in a reasonable range. And determining an acquisition data table of the air conditioner model corresponding to the register by judging whether the temperature values simultaneously meet the preset threshold range.
Specifically, when in use, after initial power-up, the following judgment logic is executed first,
collecting the values of register addresses A1, A2, A3 and A4, and respectively assigning the values to T1, T2, T3 and T4;
judging whether T1, T2, T3 and T4 simultaneously meet A5< T1< A6, A5< T2< A6, A5< T3< A6 and A5< T4< A6, wherein A5 and A6 are reasonable temperature value ranges of a certain type of air conditioner, such as A0;
if yes, taking the acquisition data table A0 as a configuration file to acquire data;
if the values do not meet the preset values, judging the next air conditioner model, including collecting the values of the register addresses B1, B2, B3 and B4, and assigning the values to the addresses T1, T2, T3 and T4 respectively;
judging whether T1, T2, T3 and T4 simultaneously meet B5< T1< B6, B5< T2< B6, B5< T3< B6 and B5< T4< B6, wherein B5 and B6 are the reasonable temperature value range of another type of air conditioner, such as B0;
if yes, taking the acquisition data table B0 as a configuration file to acquire data;
if not, judging the next air conditioner model again, wherein the judgment comprises the steps of collecting the values of the register addresses C1, C2, C3 and C4 and assigning the values to the addresses T1, T2, T3 and T4 respectively;
judging whether T1, T2, T3 and T4 simultaneously meet C5< T1< C6, C5< T2< C6, C5< T3< C6 and C5< T4< C6, wherein C5 and C6 are the reasonable temperature value range of another type of air conditioner, such as C0;
if yes, taking the acquisition data table C0 as a configuration file to acquire data;
if not, judging the next air conditioner model again, and the like until finding out the acquisition data table meeting the conditions.
The above mentioned collection data table A0, collection data table B0 and collection data table C0 all contain the addresses of all data to be collected, so as to automatically adapt to the collection data table of the central air conditioner host, and automatically read the data required for control.
The acquired required data is sent out as is.
And acquiring target data based on the acquisition data table.
In an embodiment, the target data includes a water outlet temperature value, a current limit value, an evaporator water outlet temperature, an evaporator water inlet temperature, a suction pressure, a discharge pressure, an oil supply pressure difference, a condenser water inlet temperature, a condenser water outlet temperature, a unit load factor, a current refrigeration water supply temperature set value, a current limit value, a suction pressure saturation temperature, a discharge temperature, an oil tank temperature, a refrigerant liquid level, a unit accumulated operation time, a unit accumulated start-up number, a unit operation state, an oil tank pressure, an oil supply pressure, a guide vane opening degree, and a liquid supply temperature, and the details are shown in an acquired data table 1.
TABLE 1
| Sequence number | Register address | Description of the invention | Read/write | Data length |
| 1 | 40001 | Setting value of water outlet temperature | Reading and writing | 16 |
| 2 | 40002 | Current limit set point | Reading and writing | 16 |
| 3 | 00061 | Remote start-stop device | Reading and writing | 1 |
| 4 | 40005 | Evaporator outlet water temperature | Read-only memory | 16 |
| 5 | 40006 | Water inlet temperature of evaporator | Read-only memory | 16 |
| 6 | 40007 | Suction pressure | Read-only memory | 16 |
| 7 | 40008 | Exhaust pressure | Read-only memory | 16 |
| 8 | 40009 | Oil supply pressure difference | Read-only memory | 16 |
| 9 | 40010 | Water inlet temperature of condenser | Read-only memory | 16 |
| 10 | 40011 | Condenser outlet water temperature | Read-only memory | 16 |
| 11 | 40012 | Load factor of unit | Read-only memory | 16 |
| 12 | 40013 | Phase A current | Read-only memory | 16 |
| 13 | 40014 | B-phase current | Read-only memory | 16 |
| 14 | 40015 | C-phase current | Read-only memory | 16 |
| 15 | 40016 | A phase voltage | Read-only memory | 16 |
| 16 | 40017 | B-phase voltage | Read-only memory | 16 |
| 17 | 40018 | C-phase voltage | Read-only memory | 16 |
| 18 | 40019 | Current refrigerating water supply temperature setting value | Read-only memory | 16 |
| 19 | 40020 | Current limit set point | Read-only memory | 16 |
| 20 | 40021 | Saturation temperature of suction pressure | Read-only memory | 16 |
| 21 | 40022 | Exhaust pressure saturation temperature | Read-only memory | 16 |
| 22 | 40023 | Exhaust temperature | Read-only memory | 16 |
| 23 | 40024 | Tank temperature | Read-only memory | 16 |
| 24 | 40025 | Refrigerant level | Read-only memory | 16 |
| 25 | 40026 | Accumulated running time of machine set | Read-only memory | 16 |
| 26 | 40027 | The machine set accumulates the starting times | Read-only memory | 16 |
| 27 | 40028 | Tank pressure | Read-only memory | 16 |
| 28 | 40029 | Oil supply pressure | Read-only memory | 16 |
| 29 | 00065 | Motor switch | Read-only memory | 1 |
| 30 | 00066 | Liquid line electromagnetic valve switch | Read-only memory | 1 |
| 31 | 00069 | Water flow switch of evaporator | Read-only memory | 1 |
| 32 | 40032 | Running state of machine set | Read-only memory | 16 |
| 33 | 40033 | Unit safety fault code | Read-only memory | 16 |
| 34 | 40030 | Unit circulation fault code | Read-only memory | 16 |
| 35 | 40031 | Unit warning code | Read-only memory | 16 |
| 36 | 40034 | Unit control mode | Read-only memory | 16 |
| 37 | 40045 | Reverse cycle remaining time | Read-only memory | 16 |
| 38 | 40114 | Refrigerant level set point | Read-only memory | 16 |
| 39 | 40112 | Vane opening | Read-only memory | 16 |
| 40 | 40115 | Liquid supply temperature | Read-only memory | 16 |
Aiming at the problem that only one communication port exists and control sources conflict, a method for making write permission offset by the conflicted control points is adopted to solve the problem of communication conflict of a plurality of control sources to a central air conditioner host, comprising,
judging whether the current moment is in a response time period of the demand side according to a preset offset value;
if the current moment is in the demand side response time period, adjusting the target data based on a demand side response platform;
and if the current offset value is outside the response time period of the demand side, adjusting the target data based on a building control system.
Referring to fig. 4, specifically, the offset value K is automatically written by the demand side response platform in the non-demand side response time period, so that the control of the central air conditioner host by the building control system a01 or the control of the central air conditioner host by the demand side response platform a02 is determined by the set offset value K, so as to solve the problem of control source conflict. When the demand-side response platform executes the demand response task, for example, the time period of the response task is 13 to 15 points, the platform logic automatically writes a value of 0 in the time period, where k=0, and when the response task is ended, automatically writes a value of 1, where k=1.
In the application, an offset value k=1 is set in a demand side response time period, the value of an acquisition data table of a central air conditioner host is TS1, the control value of a building control system is TS2, and the control value of a demand side response platform is TS3.
Other values in the target data are not regulated except the set value of the outlet water temperature of the host, and are directly mapped and stored to a demand side response platform or a building control system. For example, assume that the collection data table of the central air conditioner host of the target model is A0, the collection data table sent out as it is a01, and the collection data table is communicated to the communication port 2 of the building control system, and is used as the data table a01 written by the building control system, and the data table written by the demand side response platform is a02.
The difference between A0 and A01 is only that the outlet water temperature set values of the central air conditioner host are different, the difference between A0 and A02 is that the outlet water temperature set values of the central air conditioner host are different, wherein the value of the data table A0 is TS1, the value of the data table A01 is TS2, and the value of the data table A03 is TS3.
In addition to this value, the other values of the A0 data table are not adjusted and are mapped with A01 and A02. If the AA value of the A0 data table changes, the AA value is immediately mapped to the AA value corresponding to A01 and A02.
The water outlet temperature set value of A0 is determined by the following set offset value K and is assigned by the building control system A01 or the demand side platform A02.
The demand side response platform assigns K in a non-demand side response time period;
acquiring a preset offset value K of a demand side response platform;
judging whether the offset value K is positioned in a non-demand side response time period, namely judging whether K is equal to 1 or not in the application;
if the offset value K is located outside the response time period of the demand side, namely K=1, assigning a control value TS2 of the building control system to a value TS1 of an acquisition data table of the central air conditioner host, and writing the value into the host so as to adjust target data based on the building control system;
if the offset value K is located in the response time period of the demand side, namely K is not equal to 1, the control value TS3 of the response platform of the demand side is assigned to the value TS1 of the acquisition data table of the central air conditioner host, and the value is written into the host so as to adjust target data based on the response platform of the demand side.
In one embodiment, the step of adjusting the target data based on the demand side response platform includes,
and based on a demand side response platform, only regulating the outlet water temperature value, and directly mapping and storing other values in the target data to the demand side response platform.
Specifically, when k=1, the host water outlet temperature set value TS2 of the building control platform is assigned to TS1, so that ts1=ts2 is set, and the demand side response platform writing value TS3 is invalid.
In one embodiment, the step of adjusting the target data based on the floor control system includes,
based on the building control system, only the outlet water temperature value is regulated, and other values in the target data are directly mapped and stored to the building control system.
Specifically, when K is not equal to 1, the host water outlet temperature set value TS3 of the demand side response platform is assigned to TS1, so that ts1=ts3, and at this time, the writing value TS2 of the building control system is invalid, so as to achieve the purpose of electric energy peak regulation.
In summary, according to the flexible load control method facing the power grid demand side response, whether the address values of the registers corresponding to the temperature of the air conditioner are all within the temperature value range of a certain type of air conditioner is judged, so that the type of the air conditioner of the data table to be collected is determined, the data table collected by the type of the air conditioner is automatically adapted, the implementation and delivery of the demand side response platform are more convenient, and the implementation and debugging difficulty is greatly reduced; judging whether the current moment is in a demand side response time period or not through a preset offset value, and offsetting the conflict control source by using the write permission so as to solve the problem that only one communication port exists and the control source conflicts, thereby being beneficial to implementing and delivering a demand side response platform, reducing the control difficulty of the demand side response control and enabling the implementing and delivering of the demand side response to be more convenient; the problem of complicated field debugging is also solved, the technical capability requirement of field debugging personnel is reduced, the large-batch quick delivery of the response of the demand side is facilitated, and the normal use of the original building control system is not affected after the modification of the response scheme of the demand side is completed.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.
Referring to fig. 5, the embodiment of the present application further provides a flexible load control device facing to a power grid demand side response, where the flexible load control device facing to the power grid demand side response corresponds to one-to-one to the flexible load control method facing to the power grid demand side response in the foregoing embodiment. The flexible load control device facing the power grid demand side response comprises,
the temperature data module is used for acquiring address values of a plurality of registers corresponding to the temperature of the air conditioner;
the model judgment module is used for judging whether the address values are all in the temperature value range of a certain model of air conditioner;
the model matching module is used for determining that the acquired data table of the model is the data table of the acquired register if the address values are all in the temperature value range of a certain model of air conditioner; if any address value is located outside the temperature value range of a certain type of air conditioner, collecting address values of a plurality of registers of the air conditioner again, and judging whether the address values are located in the temperature value range of another type of air conditioner or not until an acquisition data table of the air conditioner type corresponding to the data table of the collected registers is determined;
the data acquisition module is used for acquiring target data based on the acquisition data table;
the demand side response judging module is used for judging whether the current moment is in a demand side response time period according to a preset offset value;
the demand side response adjustment module is used for adjusting the target data based on the demand side response platform if the current moment is in the demand side response time period;
and the control module is used for regulating and controlling operation according to the regulated target data.
A flexible load control device for grid demand side response further comprises,
and the building control system adjusting module is used for adjusting the target data based on the building control system at the moment if the current moment is outside the response time period of the demand side.
For a specific limitation of the flexible load control device facing the grid demand side response, reference may be made to the limitation of the flexible load control method facing the grid demand side response hereinabove, and the description thereof will not be repeated here. The modules in the flexible load control device facing the power grid demand side response can be all or partially realized by software, hardware and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by the processor is used for realizing any flexible load control method facing the power grid demand side response.
In one embodiment, a computer readable storage medium is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of when executing the computer program:
s1, acquiring address values of a plurality of registers corresponding to temperature of an air conditioner;
s2, judging whether the address values are all in the temperature value range of a certain type of air conditioner;
s3, if the address values are all in the temperature value range of a certain type of air conditioner, determining that the acquired data table of the type is the data table of the acquired register; if any address value is located outside the temperature value range of a certain type of air conditioner, collecting address values of a plurality of registers of the air conditioner again, and judging whether the address values are located in the temperature value range of another type of air conditioner or not until an acquisition data table of the air conditioner type corresponding to the data table of the collected registers is determined;
s4, acquiring target data based on the acquired data table;
s5, judging whether the current moment is in a response time period of the demand side according to a preset offset value;
s6, if the current moment is in the response time period of the demand side, adjusting the target data based on a response platform of the demand side;
and S7, regulating and controlling operation according to the regulated target data.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the system is divided into different functional units or modules to perform all or part of the above-described functions.
Claims (12)
1. A flexible load control method facing to power grid demand side response is characterized by comprising the following steps,
acquiring address values of a plurality of registers corresponding to the temperature of the air conditioner;
judging whether the address values are all in the temperature value range of a certain type of air conditioner;
if the address values are all in the temperature value range of a certain type of air conditioner, determining that the type of acquired data table is the acquired data table of the register;
if any address value is located outside the temperature value range of a certain type of air conditioner, collecting address values of a plurality of registers of the air conditioner again, and judging whether the address values are located in the temperature value range of another type of air conditioner or not until an acquisition data table of the air conditioner type corresponding to the data table of the collected registers is determined;
acquiring target data based on the acquisition data table;
judging whether the current moment is in a response time period of the demand side according to a preset offset value;
if the current moment is in the demand side response time period, adjusting the target data based on a demand side response platform;
and regulating and controlling operation according to the regulated target data.
2. The grid demand side response oriented flexible load control method of claim 1, wherein the step of determining whether the address values are all within a temperature value range of a model air conditioner comprises,
acquiring the upper temperature limit value and the lower temperature limit value of any type of air conditioner;
and sequentially judging whether the address value is in the range of the upper temperature limit value and the lower temperature limit value of the air conditioner of the model.
3. The grid demand side response oriented flexible load control method of claim 1, wherein the step of determining whether the current time is within the demand side response time period according to the preset offset value comprises,
setting a response offset value based on the demand side response time period, and setting an original offset value based on the non-response time period;
acquiring a current offset value in real time;
combining the set response offset value and the original offset value, and judging whether the current offset value meets a preset condition or not;
and if the current offset value meets a preset condition, determining that the current moment is in the response time period of the demand side.
4. The flexible load control method for grid demand side response according to claim 3, wherein said step of determining whether the current offset value satisfies a preset condition by combining the set response offset value and the original offset value comprises,
judging whether the current offset value is equal to the response offset value or not;
and if the current offset value is equal to the response offset value, the current offset value meets a preset condition.
5. The flexible load control method for grid demand side response according to claim 3, further comprising, after the step of determining whether the current offset value satisfies a preset condition,
if the current offset value does not meet the preset condition, determining that the current moment is outside the response time period of the demand side, and adjusting the target data based on the building control system.
6. The flexible load control method for grid demand side response according to claim 3, wherein said step of determining whether the current offset value satisfies a preset condition by combining the set response offset value and the original offset value further comprises,
if the current offset value is not equal to the response offset value, judging whether the current offset value is equal to the original offset value;
if the current offset value is equal to the original offset value, the current offset value does not meet a preset condition.
7. The flexible load control method for grid demand side response according to any one of claims 1 to 6, wherein the number of the registers is four, and address values of the four registers are in one-to-one correspondence with a condensation side water inlet temperature, a condensation side water outlet temperature, an evaporation side water inlet temperature and an evaporation side water outlet temperature;
the method may further comprise the steps of,
based on machine learning, learning data information of condensing side water inlet temperature, condensing side water outlet temperature, evaporating side water inlet temperature and evaporating side water outlet temperature of each brand of air conditioner;
and outputting the upper temperature limit value and the lower temperature limit value of any type of air conditioner according to the combination rules of the communication protocols and the ideal temperature values of the air conditioners of all brands.
8. The grid demand side response oriented flexible load control method of claim 7, wherein the target data comprises a water outlet temperature value, a current limit value, an evaporator water outlet temperature, an evaporator water inlet temperature, a suction pressure, a discharge pressure, an oil supply pressure difference, a condenser water inlet temperature, a condenser water outlet temperature, a unit load factor, a current refrigeration water supply temperature set value, a current limit value, a suction pressure saturation temperature, a discharge temperature, a tank temperature, a refrigerant liquid level, a unit accumulated operation time, a unit accumulated start-up number, a unit operation state, a tank pressure, an oil supply pressure, a guide vane opening degree, and a liquid supply temperature;
the step of adjusting the target data based on the demand side response platform includes,
and based on a demand side response platform, only regulating the outlet water temperature value, and directly mapping and storing other values in the target data to the demand side response platform.
9. The grid demand side response oriented flexible load control method of claim 5, wherein the target data comprises a water outlet temperature value, a current limit value, an evaporator water outlet temperature, an evaporator water inlet temperature, a suction pressure, a discharge pressure, an oil supply pressure difference, a condenser water inlet temperature, a condenser water outlet temperature, a unit load factor, a current refrigeration water supply temperature set value, a current limit value, a suction pressure saturation temperature, a discharge temperature, a tank temperature, a refrigerant liquid level, a unit accumulated operation time, a unit accumulated start-up number, a unit operation state, a tank pressure, an oil supply pressure, a guide vane opening degree, and a liquid supply temperature;
the step of adjusting the target data based on the floor control system includes,
based on the building control system, only the outlet water temperature value is regulated, and other values in the target data are directly mapped and stored to the building control system.
10. A flexible load control device facing the response of the power grid demand side is characterized by comprising,
the temperature data module is used for acquiring address values of a plurality of registers corresponding to the temperature of the air conditioner;
the model judgment module is used for judging whether the address values are all in the temperature value range of a certain model of air conditioner;
the model matching module is used for determining that the acquired data table of the model is the data table of the acquired register if the address values are all in the temperature value range of a certain model of air conditioner; if any address value is located outside the temperature value range of a certain type of air conditioner, collecting address values of a plurality of registers of the air conditioner again, and judging whether the address values are located in the temperature value range of another type of air conditioner or not until an acquisition data table of the air conditioner type corresponding to the data table of the collected registers is determined;
the data acquisition module is used for acquiring target data based on the acquisition data table;
the demand side response judging module is used for judging whether the current moment is in a demand side response time period according to a preset offset value;
the demand side response adjustment module is used for adjusting the target data based on the demand side response platform if the current moment is in the demand side response time period;
and the control module is used for regulating and controlling operation according to the regulated target data.
11. A computer device comprising a memory, a processor and a computer program stored on the memory, the processor executing the computer program to perform the steps of the method of any one of claims 1 to 9.
12. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the steps of the method of any one of claims 1 to 9.
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