CN117091256A - Energy control method, device and equipment for photovoltaic air conditioner and storage medium - Google Patents
Energy control method, device and equipment for photovoltaic air conditioner and storage medium Download PDFInfo
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- 238000010521 absorption reaction Methods 0.000 abstract description 3
- 238000011065 in-situ storage Methods 0.000 abstract 1
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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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- 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
- F24F11/89—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
- F24F5/00—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
- F24F5/0046—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater using natural energy, e.g. solar energy, energy from the ground
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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
- F24F5/00—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
- F24F5/0046—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater using natural energy, e.g. solar energy, energy from the ground
- F24F2005/0064—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater using natural energy, e.g. solar energy, energy from the ground using solar energy
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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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
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
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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
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
- F24F2120/14—Activity of occupants
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Abstract
The application discloses an energy consumption control method, a device, equipment and a storage medium for a photovoltaic air conditioner, which relate to the technical field of photovoltaic air conditioner electricity consumption control and comprise the following steps: according to the activity rules, the stay time and the number of people in different rooms, establishing a starting probability model of the photovoltaic air conditioner at different moments; when each photovoltaic air conditioner works by using only electric energy generated by real-time photovoltaic power generation, calculating a target real-time indoor temperature corresponding to a preset main active area room based on the power of each photovoltaic air conditioner and the indoor and outdoor conditions in combination with the opening probability model; and controlling the power of the photovoltaic air conditioner based on a preset thermal comfort temperature range, the target real-time indoor temperature and the opening probability model. Therefore, the application can establish the opening probability model of the air conditioner behavior according to the information such as the activity rule of the personnel in different rooms, can flexibly control the air conditioner work, improves the in-situ absorption rate of photovoltaic power generation, improves the energy matching degree and reduces the investment cost.
Description
Technical Field
The present invention relates to a method, an apparatus, a device, and a storage medium for controlling energy of a photovoltaic air conditioner.
Background
The photovoltaic air conditioner is an air conditioning system directly driven by photovoltaic power generation, and the photovoltaic power generation can be effectively utilized to reduce the energy consumption of the building air conditioner and the burden of a power grid. The solar energy power generation system is influenced by the change of solar irradiation intensity, the photovoltaic power generation power is not stable, most of the existing building air conditioners are based on fixed temperature and adopt a global control mode of 'full time and full space', and the real-time energy matching degree between the photovoltaic power generation and the power consumption of the building air conditioners is low. In fact, the use behaviors of the air conditioner in different functional rooms in the building have time and space differences, the people have certain differences in thermal comfort requirements in different functional rooms, the difference of the use behaviors of the air conditioner in different functional rooms in the building in time and space is ignored by adopting a global control mode of 'full time and full space' based on fixed temperature, and the real-time energy matching degree between the photovoltaic power generation and the power consumption of the air conditioner in the building is low. In order to solve the problem of real-time power fluctuation, a photovoltaic direct-driven air conditioner usually needs a matched storage battery or grid connection, but the investment cost of the storage battery is high, and the power supply or power transmission to a power grid frequently impacts the power grid too much. Compared with the full-time full-space mode, the method has the advantages that the power control of the building air conditioner is carried out by adopting the partial-time and partial-space mode and considering the thermal comfort temperature interval according to the space-time law of using the air conditioner in the room by personnel, the time difference, the personnel density difference and the personnel thermal comfort demand level difference of the different functional rooms are fully utilized, the time-sharing partition refined control of the air conditioning system is realized, and the air conditioner can have larger flexible adjusting potential for responding to the fluctuation of the photovoltaic power generation power.
Therefore, how to comprehensively consider the space-time characteristics of personnel in the room and the control of the photovoltaic air conditioner with graded indoor thermal comfort requirements so as to improve the spontaneous self-use of the energy of the photovoltaic air conditioner, so that the realization of the real-time energy matching of the system is a technical problem to be solved by the technicians in the field.
Disclosure of Invention
Accordingly, the application aims to provide an energy control method, device, equipment and storage medium for a photovoltaic air conditioner, which can establish a photovoltaic air conditioner starting probability model through information such as activity rules, residence time and the like of different rooms of personnel at different times, can improve the on-site absorption rate of photovoltaic power generation and the energy saving rate of the air conditioner, and has low investment cost and good effect. The specific scheme is as follows:
in a first aspect, the present application provides a method for controlling energy for a photovoltaic air conditioner, including:
according to the activity rules, the stay time and the number of people in different rooms, establishing a starting probability model of the photovoltaic air conditioner at different moments;
when each photovoltaic air conditioner works by using only electric energy generated by real-time photovoltaic power generation, calculating a target real-time indoor temperature corresponding to a preset main active area room based on the power of each photovoltaic air conditioner and the indoor and outdoor conditions in combination with the opening probability model;
And controlling the power of the photovoltaic air conditioner based on a preset thermal comfort temperature range, the target real-time indoor temperature and the opening probability model.
Optionally, the establishing the opening probability model of the photovoltaic air conditioner at different moments according to the activity rule, the stay time and the number of people in different rooms includes:
generating the preset thermal comfort demand targets corresponding to different rooms according to the activity rules, the stay time and the number of people of the personnel in different rooms based on a Markov chain model; the preset thermal comfort demand target comprises a thermal comfort temperature range and a thermal comfort duration;
and establishing a starting probability model of the photovoltaic air conditioner at different moments according to the preset thermal comfort demand target.
Optionally, when each of the photovoltaic air conditioners works only by using electric energy generated by real-time photovoltaic power generation, calculating a target real-time indoor temperature corresponding to a preset main active area room based on power of each of the photovoltaic air conditioners and indoor and outdoor conditions in combination with the opening probability model, including:
when each photovoltaic air conditioner works by only using electric energy generated by real-time photovoltaic power generation, predicting a first real-time indoor temperature corresponding to each room based on the power of the photovoltaic air conditioner and indoor and outdoor conditions;
Establishing a correlation model between the first real-time indoor temperature and the indoor and outdoor conditions;
and calculating second real-time indoor temperatures corresponding to all rooms according to the association model and the opening probability model, and screening target real-time indoor temperatures corresponding to rooms in a preset main active area from the second real-time indoor temperatures corresponding to all rooms.
Optionally, the controlling the power of the photovoltaic air conditioner based on the preset thermal comfort temperature range, the target real-time indoor temperature and the opening probability model includes:
judging whether the target real-time indoor temperature is within the preset thermal comfort temperature range;
if the target real-time indoor temperature is smaller than the lower limit of the preset thermal comfort temperature range, starting a photovoltaic air conditioner with zero probability corresponding to the starting probability model;
and if the target real-time indoor temperature is greater than the upper limit of the preset thermal comfort temperature range, closing the photovoltaic air conditioner of which the probability corresponding to the opening probability model is lower than the preset opening probability.
Optionally, the method further comprises:
recalculating a third real-time indoor temperature corresponding to the preset main active area room;
And if the third real-time indoor temperature is smaller than the lower limit of the preset thermal comfort temperature range, reducing the power consumption of the photovoltaic air conditioner corresponding to the preset main active area room to form corresponding real-time power generation amount allowance, and storing the real-time power generation amount allowance according to a preset power storage mode.
Optionally, the method further comprises:
recalculating a fourth real-time indoor temperature corresponding to the preset main active area room;
if the fourth real-time indoor temperature is greater than the upper limit of the preset thermal comfort temperature range, judging that the current electric energy generated by all the photovoltaic air conditioners through real-time photovoltaic power generation is insufficient, and calculating a corresponding power gap;
and replenishing the energy for the related photovoltaic air conditioner by a preset electricity replenishing mode based on the power gap so as to control the real-time indoor temperature corresponding to the room in the preset main active area within the preset thermal comfort temperature range within the preset time.
Optionally, the method further comprises:
when the target real-time indoor temperature is smaller than the lower limit of the preset thermal comfort temperature range, if a target photovoltaic air conditioner with zero starting probability exists, maintaining the temperature of a target room where the target photovoltaic air conditioner is positioned in the corresponding preset thermal comfort temperature range by utilizing the target real-time power generation amount corresponding to the target photovoltaic air conditioner, and then counting the real-time power generation amount allowance of all the photovoltaic air conditioners;
And storing the real-time power generation quantity allowance of all the photovoltaic air conditioners according to a preset power storage mode.
In a second aspect, the present application provides an energy control device for a photovoltaic air conditioner, including:
the starting probability model building module is used for building a starting probability model of the photovoltaic air conditioner at different moments according to the activity rules, the stay time and the number of people in different rooms;
the temperature calculation module is used for calculating a target real-time indoor temperature corresponding to a preset main active area room based on the power of each photovoltaic air conditioner and the indoor and outdoor conditions in combination with the opening probability model when each photovoltaic air conditioner works by using electric energy generated by real-time photovoltaic power generation;
and the power control module is used for controlling the power of the photovoltaic air conditioner based on a preset thermal comfort temperature range, the target real-time indoor temperature and the opening probability model.
In a third aspect, the present application provides an electronic device, comprising:
a memory for storing a computer program;
and the processor is used for executing the computer program to realize the energy-saving control method for the photovoltaic air conditioner.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements a method for controlling energy for a photovoltaic air conditioner as described above.
Therefore, the application can establish the opening probability model of the photovoltaic air conditioner at different moments according to the activity rules, the stay time and the number of people in different rooms; then, when all the photovoltaic air conditioners work by using electric energy generated by real-time photovoltaic power generation, calculating a target real-time indoor temperature corresponding to a preset main active area room based on the power of each photovoltaic air conditioner and the indoor and outdoor conditions in combination with the opening probability model; and controlling the power of the photovoltaic air conditioner based on a preset thermal comfort temperature range, the target real-time indoor temperature and the opening probability model. Therefore, the application can establish the opening probability model of the air conditioner according to the information such as the activity rule of personnel, and then control the photovoltaic air conditioner according to the thermal comfort temperature range of the room in the main activity area and the corresponding real-time indoor temperature, thereby improving the real-time energy matching of the photovoltaic air conditioner, reducing the dependence on electricity supplement, and improving the on-site consumption rate of photovoltaic power generation and the energy saving rate of the air conditioner.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for controlling energy for a photovoltaic air conditioner;
FIG. 2 is a flowchart of a method for controlling energy for a photovoltaic air conditioner according to the present application;
FIG. 3 is a flowchart of another specific energy control method for a photovoltaic air conditioner disclosed by the application;
FIG. 4 is a schematic diagram of a file access control device according to the present disclosure;
fig. 5 is a block diagram of an electronic device according to the present disclosure.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, the embodiment of the application discloses a method for controlling energy of a photovoltaic air conditioner, which comprises the following steps:
and S11, establishing a starting probability model of the photovoltaic air conditioner at different moments according to the activity laws, the stay time and the number of people in different rooms.
In the present application, it is understood that the thermal comfort requirements of a person in different rooms are also different because of the variability in the time that the person stays in different functional areas in the building. In a specific embodiment, it may include: generating the preset thermal comfort demand targets corresponding to different rooms according to the activity rules, the stay time and the number of people of the personnel in different rooms based on a Markov chain model; the preset thermal comfort demand target comprises a thermal comfort temperature range and a thermal comfort duration; and establishing a starting probability model of the photovoltaic air conditioner at different moments according to the preset thermal comfort demand target. Specifically, based on a Markov chain model, the activity purpose and activity time of people in different functional activity areas in a building are utilized, and information such as the number of people can predict the activity rule of the people, and a preset thermal comfort demand target of a corresponding room in different time periods is generated; it will be appreciated that the temperature at which the person is comfortable in the room is not a fixed value, but rather a temperature range exists, so that the preset thermal comfort temperature range and the thermal comfort duration in the preset thermal comfort demand target can be determined according to the activity time of the person, and in a specific embodiment, the thermal comfort level (the level distinguished by different temperature ranges) can be further included; furthermore, a Markov chain model can be introduced to represent the activity rule of the personnel in different functional areas, and the time difference and the personnel density difference of personnel stay are considered to combine with a preset thermal comfort requirement target to establish an opening probability model of the air conditioning system of different rooms at different moments. In a specific embodiment, the air conditioning cooling condition of the short-term residence area of the personnel is preferably improved by 1-2 ℃ compared with that of the long-term residence area. In another specific embodiment, when more people are in the office area, the residence probability of the people in the conference hall is lower, and the thermal comfort requirement of the people in the office area is met as much as possible, and the energy consumption of the air conditioner in other areas can be used for adjusting the power consumption of the whole air conditioner to be matched with the real-time photovoltaic power generation power.
And step S12, when each photovoltaic air conditioner works by only using electric energy generated by real-time photovoltaic power generation, calculating a target real-time indoor temperature corresponding to a preset main active area room based on the power of each photovoltaic air conditioner and the indoor and outdoor conditions in combination with the opening probability model.
Further, it can be determined whether the electric energy generated by the self photovoltaic power generation of the photovoltaic air conditioner can enable the temperatures of different rooms to meet the preset thermal comfort requirement targets. According to the method, when the photovoltaic air conditioners work by using electric energy generated by real-time photovoltaic power generation, the target real-time indoor temperature corresponding to the preset main active area room can be calculated by considering indoor and outdoor conditions and combining with the opening probability model corresponding to the air conditioner based on the power of each photovoltaic air conditioner. It can be understood that the indoor and outdoor conditions influence the real-time photovoltaic power generation amount, the indoor and outdoor conditions need to be comprehensively considered due to the instability of solar irradiation, and the service conditions of all photovoltaic air conditioners are considered according to an opening probability model, so that the target real-time indoor temperature of a room in a preset main active area can be more reasonably calculated.
And step S13, controlling the power of the photovoltaic air conditioner based on a preset thermal comfort temperature range, the target real-time indoor temperature and the opening probability model.
According to the method and the device, the use conditions of different air conditioners can be timely adjusted according to the preset thermal comfort temperature range, the target real-time indoor temperature corresponding to the preset main active area room and the opening probability model corresponding to the air conditioner, so that the preset main active area room can always meet the preset thermal comfort requirement.
In a specific embodiment, the controlling the power of the photovoltaic air conditioner based on the preset thermal comfort temperature range, the target real-time indoor temperature and the opening probability model may include: judging whether the target real-time indoor temperature is within the preset thermal comfort temperature range; if the target real-time indoor temperature is smaller than the lower limit of the preset thermal comfort temperature range, starting a photovoltaic air conditioner with zero probability corresponding to the starting probability model; and if the target real-time indoor temperature is greater than the upper limit of the preset thermal comfort temperature range, closing the photovoltaic air conditioner of which the probability corresponding to the opening probability model is lower than the preset opening probability. Specifically, judging whether the target real-time indoor temperature corresponding to the room in the preset main activity area is in a preset thermal comfort temperature range or not; if the target real-time indoor temperature is smaller than the lower limit of the preset thermal comfort temperature range, the photovoltaic air conditioners in the corresponding main active areas are excessively high in power, and the real-time power generation capacity of all the photovoltaic air conditioners is rich; therefore, the photovoltaic air conditioners with zero opening probability can be started, so that more air conditioners can use surplus real-time generated energy, and the electricity consumption of the photovoltaic air conditioners corresponding to the preset main active area rooms can be relatively reduced, so that the target real-time indoor temperature of the preset main active area rooms is ensured to be increased to be within the preset thermal comfort temperature range. Correspondingly, if the target real-time indoor temperature is greater than the upper limit of the preset thermal comfort temperature range, the real-time power generation amount of all the photovoltaic air conditioners is not enough to be used, and the photovoltaic air conditioners are lack of useful electricity; at this time, the photovoltaic air conditioners with the opening probability lower than the preset opening probability can be turned off, for example, the photovoltaic air conditioners with the opening probability lower than 30% can be turned off; therefore, the power consumption of the inconsequential photovoltaic air conditioners can be avoided, and the power consumption of the photovoltaic air conditioners in the main active area can be relatively increased, so that the target real-time indoor temperature of the room in the preset main active area is ensured to be within the preset thermal comfort temperature range.
In another specific embodiment, after turning on the photovoltaic air conditioner with the probability zero corresponding to the on probability model, the method may further include: recalculating a third real-time indoor temperature corresponding to the preset main active area room; and if the third real-time indoor temperature is smaller than the lower limit of the preset thermal comfort temperature range, reducing the power consumption of the photovoltaic air conditioner corresponding to the preset main active area room to form corresponding real-time power generation amount allowance, and storing the real-time power generation amount allowance according to a preset power storage mode. Specifically, after the photovoltaic air conditioners with the opening probability of zero are started after the temperature of the room in the preset main active area is lower than the lower limit of the preset thermal comfort temperature range, the third real-time indoor temperature of the room in the preset main active area can be recalculated after waiting for a period of time, if the temperature at the moment is still lower than the lower limit of the preset thermal comfort temperature range, the real-time power generation amount of all the photovoltaic air conditioners completely supports the use of all the photovoltaic air conditioners, and the real-time power generation amount allowance is also provided, so that the real-time power generation amount allowance can be saved in a preset power storage mode on the premise that the temperature of the room in the preset main active area is in the preset thermal comfort range; for example, the surplus electric power can be saved by a storage battery, or the power generation allowance can be input into the power grid.
Accordingly, in a specific embodiment, the method may further include: when the target real-time indoor temperature is smaller than the lower limit of the preset thermal comfort temperature range, if a target photovoltaic air conditioner with zero starting probability exists, maintaining the temperature of a target room where the target photovoltaic air conditioner is positioned in the corresponding preset thermal comfort temperature range by utilizing the target real-time power generation amount corresponding to the target photovoltaic air conditioner, and then counting the real-time power generation amount allowance of all the photovoltaic air conditioners; and storing the real-time power generation quantity allowance of all the photovoltaic air conditioners according to a preset power storage mode. Specifically, after the target photovoltaic air conditioner is started, if the temperature of a room corresponding to the target photovoltaic air conditioner is also lower than the lower limit of the corresponding preset thermal temperature range, the fact that the real-time photovoltaic power generation amount of the photovoltaic air conditioner is far greater than the real-time electricity consumption amount of all the photovoltaic air conditioners at the moment is indicated, and the power generation amount of the photovoltaic air conditioner can completely cover the electricity consumption amount and even has surplus electricity. Therefore, on the premise that the temperatures of all rooms are within the preset thermal comfort temperature range, the real-time power generation amount allowance of all the photovoltaic air conditioners can be counted, and then the power generation amount allowance is stored in a preset power storage mode. Furthermore, if the temperatures of all the rooms can be within the preset thermal comfort temperature range, dynamic balance between the real-time power generation amount and the power consumption amount of the photovoltaic air conditioner can be achieved, and at the moment, corresponding air conditioner temperature control commands can be executed to achieve dynamic adjustment of the photovoltaic air conditioner energy.
In another specific embodiment, after the photovoltaic air conditioner whose probability corresponding to the opening probability model is lower than the second opening probability is turned off, the method may further include: recalculating a fourth real-time indoor temperature corresponding to the preset main active area room; if the fourth real-time indoor temperature is greater than the upper limit of the preset thermal comfort temperature range, judging that the current electric energy generated by all the photovoltaic air conditioners through real-time photovoltaic power generation is insufficient, and calculating a corresponding power gap; and replenishing the energy for the related photovoltaic air conditioner by a preset electricity replenishing mode based on the power gap so as to control the real-time indoor temperature corresponding to the room in the preset main active area within the preset thermal comfort temperature range within the preset time. Specifically, when the temperature of the room in the preset main active area is greater than the upper limit of the preset thermal comfort temperature range, after the photovoltaic air conditioners with the opening probability lower than the preset opening probability are closed, the fourth real-time indoor temperature of the room in the preset main active area can be waited for a period of time, if the fourth real-time indoor temperature is still greater than the upper limit of the preset thermal comfort temperature range, the real-time power generation amount of all the photovoltaic air conditioners cannot meet the use of the corresponding photovoltaic air conditioners in the rooms in the main active areas at the moment, namely the current electric energy generated by the real-time photovoltaic power generation is insufficient; therefore, the corresponding power gap can be calculated to supplement the air conditioner energy by a preset electricity supplementing mode. For example by battery make-up air conditioning or by mains make-up air conditioning.
Therefore, the application can consider the difference of thermal comfort demands of personnel in time-sharing and partition of different functional rooms, the difference of residence time of the personnel and the difference of personnel density to classify the thermal comfort demands of different functional rooms of different indoor buildings; meanwhile, a Markov chain model is introduced for representing the space-time characteristics of personnel, and the photovoltaic air conditioner is controlled in a time-sharing and partition mode according to the real-time photovoltaic power generation amount; therefore, the dynamic balance between the generated energy and the used electric quantity of the photovoltaic air conditioner can be improved, and the dependence on a storage battery and a power grid is reduced.
Referring to fig. 2, the embodiment of the application discloses a method for controlling energy of a photovoltaic air conditioner, which comprises the following steps:
and S21, establishing a starting probability model of the photovoltaic air conditioner at different moments according to the activity laws, the stay time and the number of people in different rooms.
And S22, predicting a first real-time indoor temperature corresponding to each room based on the power of the photovoltaic air conditioner and the indoor and outdoor conditions when each photovoltaic air conditioner works by using only the electric energy generated by the real-time photovoltaic power generation.
According to the embodiment of the application, when each photovoltaic air conditioner works only by using a computer generated by real-time photovoltaic power generation, the first real-time indoor temperature corresponding to each room can be predicted based on the power of the photovoltaic air conditioner and the indoor and outdoor conditions. It is understood that the relationship between the indoor and outdoor conditions and the temperature of each room can be counted only according to the electric quantity internal circulation of the photovoltaic air conditioner without using a storage battery and a power grid.
And S23, establishing a correlation model between the first real-time indoor temperature and the indoor and outdoor conditions.
Accordingly, according to the relationship between the first real-time indoor temperature of each room and the corresponding indoor and outdoor conditions obtained in the step S22, a corresponding association model may be established. It can be understood that the relation between the photovoltaic air conditioner electricity consumption of a certain room and the real-time photovoltaic electricity generation capacity of all the photovoltaic air conditioners under a certain specific indoor and outdoor condition can be obtained according to the association model.
And step S24, calculating second real-time indoor temperatures corresponding to all rooms according to the association model and combining the opening probability model, and screening target real-time indoor temperatures corresponding to rooms in a preset main active area from the second real-time indoor temperatures corresponding to all rooms.
Further, the second real-time indoor temperature of each room can be calculated according to the correlation model of the indoor and outdoor conditions and the indoor temperature and the opening probability model corresponding to each photovoltaic air conditioner, and it can be understood that the second real-time indoor temperature is also the temperature of each room on the premise that the photovoltaic air conditioner only uses the corresponding real-time photovoltaic power generation amount. Then the target real-time indoor temperature of the room in the preset main active area can be screened out. It will be appreciated that in most cases, it is only possible to ensure that the temperature of the room in the preset main active zone is within the preset thermal comfort temperature range, suitably reducing the photovoltaic air conditioning power of the other rooms.
And S25, controlling the power of the photovoltaic air conditioner based on a preset thermal comfort temperature range, the target real-time indoor temperature and the opening probability model.
For more specific processing procedures in the steps S21 and S25, reference may be made to the corresponding contents disclosed in the foregoing embodiments, and no detailed description is given here.
Therefore, according to the embodiment of the application, the correlation model between the temperature and the indoor and outdoor conditions can be established according to the indoor and outdoor conditions and the temperatures of different rooms under the corresponding conditions, and then the temperatures of all rooms can be calculated according to the correlation model and the opening probability model corresponding to the photovoltaic air conditioner; and dynamically adjusting the energy consumption of the related photovoltaic air conditioner based on whether the temperature of the room in the preset main active area is within a preset thermal comfort temperature range. The air conditioner control mode of 'partial time and partial space' is adopted, and the thermal comfort temperature intervals of human bodies in different functional areas are considered, so that the real-time energy matching of the photovoltaic air conditioner is greatly improved, the dependence on a storage battery and a power grid is reduced, the economical efficiency is improved, and the burden of the power grid is reduced.
As shown in fig. 3, an embodiment of the present application discloses a method for controlling energy of a photovoltaic air conditioner, including:
In the embodiment of the application, the data such as the thermal inertia parameters of the target building, the opening frequency of the air conditioner of different functional rooms in the building, the thermal comfort temperature range of different functional areas, the energy consumption behavior data of the air conditioner, the heat acquisition of the room at the time t, the indoor temperature at the time t-1 and the like can be obtained. And then counting the real-time photovoltaic power generation power of the photovoltaic air conditioner at the time t and the theoretical air conditioner output data of each photovoltaic air conditioner. Calculating the expected indoor temperature Tn of each functional room (a preset main active area room) under the condition of 100% consumption photovoltaic power generation according to the obtained data; furthermore, whether Tn is in a thermal comfort temperature range can be judged, and then the energy consumption of the related photovoltaic air conditioner is controlled and adjusted.
In particular, if Tn is in the thermal comfort temperature range. And judging that the current energy matching moment is the energy matching moment, and representing the real-time photovoltaic power generation capacity can meet the use requirement of the photovoltaic air conditioner, so that the existing air conditioner behavior mode can be continuously maintained. Correspondingly, if Tn is smaller than the lower limit of the thermal comfort temperature range, other photovoltaic air conditioners can be further controlled to ensure that the temperature of the room in the main active area is within the thermal comfort temperature range. Specifically, the photovoltaic air conditioners with zero turn-on probability in some rooms can be turned on, the current real-time photovoltaic power generation allowance is calculated to be in the lowest indoor temperature new Tn which can be provided by the rooms, then whether the new Tn is located in a thermal comfort temperature range is judged, if so, the current photovoltaic air conditioners are in an energy matching stage, related air conditioner temperature control commands can be executed, and the current air conditioner behavior mode is kept continuously. Correspondingly, if the photovoltaic air conditioner with zero opening probability does not exist, the power generation power margins of all the photovoltaic air conditioners can be directly calculated, and the power generation margins are stored through a storage battery or a power grid. Furthermore, if the new Tn is not in the thermal comfort temperature range and is too low or too high, the power generation allowance of all the photovoltaic air conditioners can be calculated and stored on the premise that the temperature of the room in the main active area is ensured to be in the thermal comfort temperature range.
Accordingly, if the estimated indoor temperature Tn of each functional room under the 100% consumption photovoltaic power generation condition is calculated not to be within the thermal comfort temperature range and not to be lower than the lower limit of the thermal comfort temperature range, i.e., to be higher than the upper limit of the thermal comfort temperature range. Then it can be determined whether there is a photovoltaic air conditioner (on state) with an on probability lower than 0.3 (30%), if so, the relevant photovoltaic air conditioner can be turned off, then the temperature new Tn of the main active area room is recalculated, if the new Tn is smaller than the upper limit of the thermal comfort temperature range, it is indicated that there is energy match between the real-time photovoltaic power generation and the power consumption of the photovoltaic air conditioner at this time, and the relevant air conditioner temperature control command can be executed. Furthermore, if the air conditioner (the on state) with the on probability lower than 0.3 does not exist, the power shortage of the related photovoltaic air conditioner can be directly calculated, and the air conditioner power consumption can be supplemented by the mains supply or the storage battery if the temperature of the room in the main active area is ensured to be in the thermal comfort temperature range; correspondingly, if the temperature of the room in the main active area is still higher than the upper limit of the thermal comfort temperature range after the air conditioner with the opening probability lower than 0.3 is turned off for a period of time, it can be calculated that if the temperature of the room in the main active area is ensured to be in the thermal comfort temperature range, the power shortage needing to be supplemented can be supplemented by the mains supply or the storage battery.
Therefore, the application can consider the information of indoor and outdoor conditions, the temperature requirement of the room in the main active area, the opening probability of each photovoltaic air conditioner and the like, reasonably control the energy consumption of each photovoltaic air conditioner, fully mine the flexible potential of the building air conditioner to absorb the fluctuation of the real-time photovoltaic power generation, effectively improve the spontaneous utilization rate of the energy of the photovoltaic air conditioner, realize the real-time energy matching of the system and reduce the dependence on a storage battery and a power grid.
As shown in fig. 4, an embodiment of the present application discloses an energy control device for a photovoltaic air conditioner, including:
the starting probability model building module 11 is used for building a starting probability model of the photovoltaic air conditioner at different moments according to the activity rules, the stay time and the number of people in different rooms;
the temperature calculating module 12 is configured to calculate, when each of the photovoltaic air conditioners works only using electric energy generated by real-time photovoltaic power generation, a target real-time indoor temperature corresponding to a preset main active area room based on power of each of the photovoltaic air conditioners and indoor and outdoor conditions in combination with the opening probability model;
the power control module 13 is configured to control the power of the photovoltaic air conditioner based on a preset thermal comfort temperature range, the target real-time indoor temperature and the turn-on probability model.
Therefore, the application can establish the opening probability model of the air conditioner according to the information such as the activity rule of personnel in different rooms, and then control the photovoltaic air conditioner according to the thermal comfort temperature range of the room in the main activity area and the corresponding real-time indoor temperature, thereby improving the real-time energy matching of the photovoltaic air conditioner, reducing the dependence on electricity compensation, and improving the on-site absorption rate of photovoltaic power generation and the energy saving rate of the air conditioner.
In a specific embodiment, the opening probability model building module 11 may include:
the demand generation unit is used for generating the preset thermal comfort demand targets corresponding to different rooms according to the activity rules, the stay time and the number of people of the personnel in different rooms based on a Markov chain model; the preset thermal comfort demand target comprises a thermal comfort temperature range and a thermal comfort duration;
and the starting probability model building unit is used for building a starting probability model of the photovoltaic air conditioner at different moments according to the preset thermal comfort demand target.
In a specific embodiment, the temperature calculation module 12 may include:
the temperature prediction unit is used for predicting first real-time indoor temperatures corresponding to all rooms based on the power of the photovoltaic air conditioner and indoor and outdoor conditions when all the photovoltaic air conditioners work by using electric energy generated by real-time photovoltaic power generation;
The correlation model building unit is used for building a correlation model between the first real-time indoor temperature and the indoor and outdoor conditions;
the first temperature calculation unit is used for calculating second real-time indoor temperatures corresponding to the rooms according to the association model and the opening probability model;
and the temperature screening unit is used for screening target real-time indoor temperatures corresponding to the rooms in the preset main active area from the second real-time indoor temperatures corresponding to the rooms.
In a specific embodiment, the power control module 13 may include:
the temperature judging unit is used for judging whether the target real-time indoor temperature is in the preset thermal comfort temperature range or not;
the air conditioner starting unit is used for starting the photovoltaic air conditioner with zero probability corresponding to the starting probability model when the target real-time indoor temperature is smaller than the lower limit of the preset thermal comfort temperature range;
and the air conditioner closing unit is used for closing the photovoltaic air conditioner, the probability of which is lower than the preset opening probability and corresponds to the opening probability model, when the target real-time indoor temperature is greater than the upper limit of the preset thermal comfort temperature range.
In a specific embodiment, the apparatus may further include:
The second temperature calculation unit is used for recalculating a third real-time indoor temperature corresponding to the room in the preset main active area;
and the first air conditioner adjusting unit is used for reducing the power consumption of the photovoltaic air conditioner corresponding to the room in the preset main active area to form corresponding real-time power generation amount allowance when the third real-time indoor temperature is smaller than the lower limit of the preset thermal comfort temperature range, and storing the real-time power generation amount allowance according to a preset electric storage mode.
In another specific embodiment, the apparatus may further include:
a third temperature calculating unit, configured to recalculate a fourth real-time indoor temperature corresponding to the preset main activity area room;
the power gap calculating unit is used for judging that the electric energy generated by the current all photovoltaic air conditioners through the real-time photovoltaic power generation is insufficient when the fourth real-time indoor temperature is larger than the upper limit of the preset thermal comfort temperature range, and calculating a corresponding power gap;
and the energy utilization supplementing unit is used for supplementing the energy utilization of the related photovoltaic air conditioner in a preset electricity supplementing mode based on the power gap so as to control the real-time indoor temperature corresponding to the preset main active area room within the preset thermal comfort temperature range within a preset time.
In a specific embodiment, the apparatus may further include:
a fourth temperature calculation unit, configured to maintain, when the target real-time indoor temperature is less than the lower limit of the preset thermal comfort temperature range, a temperature of a target room in which the target photovoltaic air conditioner is located at a corresponding preset thermal comfort temperature range by using a target real-time power generation amount corresponding to the target photovoltaic air conditioner if there is a target photovoltaic air conditioner with a zero turn-on probability;
the generating capacity allowance counting unit is used for counting the real-time generating capacity allowance of all the photovoltaic air conditioners;
and the generating capacity remaining quantity storage unit is used for storing the real-time generating capacity remaining quantity of all the photovoltaic air conditioners according to a preset power storage mode.
Further, the embodiment of the present application further discloses an electronic device, and fig. 5 is a block diagram of an electronic device 20 according to an exemplary embodiment, where the content of the figure is not to be considered as any limitation on the scope of use of the present application.
Fig. 5 is a schematic structural diagram of an electronic device 20 according to an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input output interface 25, and a communication bus 26. The memory 22 is configured to store a computer program, where the computer program is loaded and executed by the processor 21 to implement relevant steps in the photovoltaic air conditioner energy control method disclosed in any of the foregoing embodiments. In addition, the electronic device 20 in the present embodiment may be specifically an electronic computer.
In this embodiment, the power supply 23 is configured to provide an operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and an external device, and the communication protocol to be followed is any communication protocol applicable to the technical solution of the present application, which is not specifically limited herein; the input/output interface 25 is used for acquiring external input data or outputting external output data, and the specific interface type thereof may be selected according to the specific application requirement, which is not limited herein.
The memory 22 may be a carrier for storing resources, such as a read-only memory, a random access memory, a magnetic disk, or an optical disk, and the resources stored thereon may include an operating system 221, a computer program 222, and the like, and the storage may be temporary storage or permanent storage.
The operating system 221 is used for managing and controlling various hardware devices on the electronic device 20 and computer programs 222, which may be Windows Server, netware, unix, linux, etc. The computer program 222 may further include a computer program that can be used to perform other specific tasks in addition to the computer program that can be used to perform the photovoltaic air conditioner control method performed by the electronic device 20 disclosed in any of the foregoing embodiments.
Further, the application also discloses a computer readable storage medium for storing a computer program; the computer program, when executed by the processor, realizes the photovoltaic air conditioner energy control method disclosed in the prior art. For specific steps of the method, reference may be made to the corresponding contents disclosed in the foregoing embodiments, and no further description is given here.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing has outlined rather broadly the more detailed description of the application in order that the detailed description of the application that follows may be better understood, and in order that the present principles and embodiments may be better understood; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. The energy control method for the photovoltaic air conditioner is characterized by comprising the following steps of:
according to the activity rules, the stay time and the number of people in different rooms, establishing a starting probability model of the photovoltaic air conditioner at different moments;
when each photovoltaic air conditioner works by using only electric energy generated by real-time photovoltaic power generation, calculating a target real-time indoor temperature corresponding to a preset main active area room based on the power of each photovoltaic air conditioner and the indoor and outdoor conditions in combination with the opening probability model;
and controlling the power of the photovoltaic air conditioner based on a preset thermal comfort temperature range, the target real-time indoor temperature and the opening probability model.
2. The energy control method for the photovoltaic air conditioner according to claim 1, wherein the building of the opening probability model of the photovoltaic air conditioner at different moments according to the activity rule, the stay time and the number of people in different rooms comprises the following steps:
Generating the preset thermal comfort demand targets corresponding to different rooms according to the activity rules, the stay time and the number of people of the personnel in different rooms based on a Markov chain model; the preset thermal comfort demand target comprises a thermal comfort temperature range and a thermal comfort duration;
and establishing a starting probability model of the photovoltaic air conditioner at different moments according to the preset thermal comfort demand target.
3. The method according to claim 1, wherein when each of the photovoltaic air conditioners operates using only electric energy generated by real-time photovoltaic power generation, calculating a target real-time indoor temperature corresponding to a preset main active area room based on power of each of the photovoltaic air conditioners and indoor and outdoor conditions in combination with the on probability model, comprises:
when each photovoltaic air conditioner works by only using electric energy generated by real-time photovoltaic power generation, predicting a first real-time indoor temperature corresponding to each room based on the power of the photovoltaic air conditioner and indoor and outdoor conditions;
establishing a correlation model between the first real-time indoor temperature and the indoor and outdoor conditions;
and calculating second real-time indoor temperatures corresponding to all rooms according to the association model and the opening probability model, and screening target real-time indoor temperatures corresponding to rooms in a preset main active area from the second real-time indoor temperatures corresponding to all rooms.
4. A photovoltaic air conditioner energy control method according to any one of claims 1 to 3, wherein the controlling the power of the photovoltaic air conditioner based on a preset thermal comfort temperature range, the target real-time indoor temperature, and the turn-on probability model comprises:
judging whether the target real-time indoor temperature is within the preset thermal comfort temperature range;
if the target real-time indoor temperature is smaller than the lower limit of the preset thermal comfort temperature range, starting a photovoltaic air conditioner with zero probability corresponding to the starting probability model;
and if the target real-time indoor temperature is greater than the upper limit of the preset thermal comfort temperature range, closing the photovoltaic air conditioner of which the probability corresponding to the opening probability model is lower than the preset opening probability.
5. The method for controlling energy of a photovoltaic air conditioner according to claim 4, further comprising, after turning on the photovoltaic air conditioner with zero probability corresponding to the on probability model:
recalculating a third real-time indoor temperature corresponding to the preset main active area room;
and if the third real-time indoor temperature is smaller than the lower limit of the preset thermal comfort temperature range, reducing the power consumption of the photovoltaic air conditioner corresponding to the preset main active area room to form corresponding real-time power generation amount allowance, and storing the real-time power generation amount allowance according to a preset power storage mode.
6. The method for controlling energy of a photovoltaic air conditioner according to claim 4, further comprising, after turning off the photovoltaic air conditioner whose probability corresponding to the on probability model is lower than the second on probability:
recalculating a fourth real-time indoor temperature corresponding to the preset main active area room;
if the fourth real-time indoor temperature is greater than the upper limit of the preset thermal comfort temperature range, judging that the current electric energy generated by all the photovoltaic air conditioners through real-time photovoltaic power generation is insufficient, and calculating a corresponding power gap;
and replenishing the energy for the related photovoltaic air conditioner by a preset electricity replenishing mode based on the power gap so as to control the real-time indoor temperature corresponding to the room in the preset main active area within the preset thermal comfort temperature range within the preset time.
7. The method for controlling energy for a photovoltaic air conditioner according to claim 4, further comprising:
when the target real-time indoor temperature is smaller than the lower limit of the preset thermal comfort temperature range, if a target photovoltaic air conditioner with zero starting probability exists, maintaining the temperature of a target room where the target photovoltaic air conditioner is positioned in the corresponding preset thermal comfort temperature range by utilizing the target real-time power generation amount corresponding to the target photovoltaic air conditioner, and then counting the real-time power generation amount allowance of all the photovoltaic air conditioners;
And storing the real-time power generation quantity allowance of all the photovoltaic air conditioners according to a preset power storage mode.
8. An energy control device for a photovoltaic air conditioner, comprising:
the starting probability model building module is used for building a starting probability model of the photovoltaic air conditioner at different moments according to the activity rules, the stay time and the number of people in different rooms;
the temperature calculation module is used for calculating a target real-time indoor temperature corresponding to a preset main active area room based on the power of each photovoltaic air conditioner and the indoor and outdoor conditions in combination with the opening probability model when each photovoltaic air conditioner works by using electric energy generated by real-time photovoltaic power generation;
and the power control module is used for controlling the power of the photovoltaic air conditioner based on a preset thermal comfort temperature range, the target real-time indoor temperature and the opening probability model.
9. An electronic device, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the photovoltaic air conditioner energy control method of any one of claims 1 to 7.
10. A computer readable storage medium for storing a computer program which when executed by a processor implements the photovoltaic air conditioner energy control method of any of claims 1 to 7.
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