CN117200279A - Intelligent building energy storage distribution method and related device - Google Patents
Intelligent building energy storage distribution method and related device Download PDFInfo
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- CN117200279A CN117200279A CN202311466912.3A CN202311466912A CN117200279A CN 117200279 A CN117200279 A CN 117200279A CN 202311466912 A CN202311466912 A CN 202311466912A CN 117200279 A CN117200279 A CN 117200279A
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Abstract
The application discloses an intelligent building energy storage distribution method and a related device, wherein the method comprises the following steps: acquiring power monitoring data; calculating the estimated power supply time length of the user storage equipment for supplying power to at least one high-load floor in the peak period according to the power monitoring data; judging whether the user storage equipment can meet the electric energy requirement of at least one high-load floor in the peak time according to the size relation between the predicted power supply time and the residual time of the peak time; if the predicted power supply time length is greater than or equal to the residual time length, controlling the user storage equipment to supply power for at least one high-load floor; if the predicted power supply duration is less than the remaining duration, the peak time period comprises a first peak time period and a second peak time period, and the time period between the first peak time period and the second peak time period is an off-peak time period; and determining an electric energy supply strategy according to the relation between the current time and the first peak time, the second peak time and the off-peak time.
Description
Technical Field
The application relates to the technical field of energy scheduling, in particular to an intelligent building energy storage distribution method and a related device.
Background
The existing method generally adopts a fixed energy allocation proportion or allocates according to unified time aiming at the energy allocation method of a single building or building cluster, and is specifically embodied in that the energy allocation is carried out according to the area of each floor, the number of houses and a preset proportion, or the energy supply is uniformly allocated to each floor in a specific time period. These methods lack flexibility and cannot be adjusted according to actual demands and load conditions, so that energy waste and situations that part of floors cannot meet power supply demands during peak periods occur.
Disclosure of Invention
The application provides an intelligent building energy storage distribution method and a related device, which can accurately determine a power supply strategy of each floor by utilizing the cooperation of user storage equipment and a power grid to supply power in different time periods by monitoring the real-time power utilization condition of each floor of an intelligent building and combining regional power utilization peaks.
In a first aspect, the application provides an intelligent building energy storage distribution method, which is applied to a main controller of an intelligent building, wherein the intelligent building comprises the main controller and a household storage device connected with the main controller, and the household storage device comprises a photovoltaic power generation device and an energy storage device; the method comprises the following steps:
Acquiring power monitoring data;
calculating the expected power supply duration of the user storage equipment for supplying power to at least one high-load floor in a peak period according to the power monitoring data, wherein the at least one high-load floor is determined according to historical power data of each floor of the intelligent building in the peak period;
judging whether the user storage equipment can meet the electric energy requirement of at least one high-load floor in the peak time according to the relation between the predicted power supply time and the residual time of the peak time;
if the predicted power supply time length is greater than or equal to the residual time length, controlling the user storage equipment to supply power for the at least one high-load floor;
if the predicted power supply duration is less than the remaining duration, the peak time period comprises a first peak time period and a second peak time period, the time period between the first peak time period and the second peak time period is an off-peak time period, the off-peak time period is used for indicating to control to access a first power grid, and the first power grid is used for supplying power to the energy storage equipment and the at least one high-load floor; and determining an electrical energy supply strategy according to the relationship between the current time and the first peak time period, the second peak time period and the off-peak time period.
In a second aspect, the present application provides an intelligent building energy storage distribution apparatus, the apparatus comprising:
the data acquisition unit is used for acquiring power monitoring data;
the processing unit is used for calculating the expected power supply duration of the user storage equipment for supplying power to at least one high-load floor in a peak period according to the power monitoring data, and the at least one high-load floor is determined according to the historical power data of each floor of the intelligent building in the peak period; judging whether the user storage equipment can meet the electric energy requirement of at least one high-load floor in the peak time according to the relation between the predicted power supply time and the residual time of the peak time; and if the predicted power supply time period is longer than or equal to the residual time period, controlling the user storage equipment to supply power for the at least one high-load floor; and if the predicted power supply duration is less than the remaining duration, the peak time period includes a first peak time period and a second peak time period, the time period between the first peak time period and the second peak time period is an off-peak time period, the off-peak time period is used for indicating to control access to a first power grid, and the first power grid is used for supplying power to the energy storage device and the at least one high load floor; and determining an electrical energy supply strategy according to the relationship between the current time and the first peak time period, the second peak time period and the off-peak time period.
In a third aspect, the present application provides a server comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method according to any of the first aspects.
It can be seen that in the embodiment of the present application, the main controller of the intelligent building first acquires the power monitoring data; secondly, calculating the expected power supply duration of the user storage equipment for supplying power to at least one high-load floor in a peak period according to the power monitoring data, wherein the at least one high-load floor is determined according to the historical power data of each floor of the intelligent building in the peak period; finally, judging whether the user storage equipment can meet the electric energy requirement of at least one high-load floor in the peak time according to the size relation between the predicted power supply time and the residual time of the peak time; if the predicted power supply time length is greater than or equal to the residual time length, controlling the user storage equipment to supply power for at least one high-load floor; if the predicted power supply duration is less than the remaining duration, the peak time period comprises a first peak time period and a second peak time period, wherein the time period between the first peak time period and the second peak time period is an off-peak time period, the off-peak time period is used for indicating to control the access to a first power grid, and the first power grid is used for supplying power for the energy storage equipment and at least one high-load floor; and determining an electrical energy supply strategy according to the relationship between the current time and the first peak time period, the second peak time period and the off-peak time period. In summary, the technical scheme provided by the application can accurately determine the power supply strategy of each floor by utilizing the cooperation of the user storage equipment and the power grid to supply power in different periods by monitoring the real-time power utilization condition of each floor of the intelligent building and combining the regional power utilization peak.
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In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a server of an intelligent building according to an embodiment of the present application;
FIG. 2 is a block diagram of an intelligent building structure provided by an embodiment of the application;
fig. 3 is a schematic flow chart of an intelligent building energy storage allocation method according to an embodiment of the present application;
fig. 4 is a functional unit composition block diagram of an intelligent building energy storage distribution device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a server according to an embodiment of the present application;
fig. 6 is a schematic flow chart of determining at least one high load floor according to an embodiment of the present application;
fig. 7 is a flowchart of an electric energy supply strategy according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, 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.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In the embodiment of the application, "and/or" describes the association relation of the association objects, which means that three relations can exist. For example, a and/or B may represent three cases: a alone; both A and B are present; b alone. Wherein A, B can be singular or plural.
In the embodiment of the present application, the symbol "/" may indicate that the associated object is an or relationship. In addition, the symbol "/" may also denote a divisor, i.e. performing a division operation. For example, A/B may represent A divided by B.
"at least one" or the like in the embodiments of the present application means any combination of these items, including any combination of single item(s) or plural items(s), meaning one or more, and plural means two or more. For example, at least one (one) of a, b or c may represent the following seven cases: a, b, c, a and b, a and c, b and c, a, b and c. Wherein each of a, b, c may be an element or a set comprising one or more elements.
The 'equal' in the embodiment of the application can be used with the greater than the adopted technical scheme, can also be used with the lesser than the adopted technical scheme. When the combination is equal to or greater than the combination, the combination is not less than the combination; when the value is equal to or smaller than that used together, the value is not larger than that used together.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a server of an intelligent building according to an embodiment of the present application. As shown in fig. 1, the server 1 may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the device structure shown in fig. 1 is not limiting of the device and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and an intelligent building energy storage allocation program may be included in a memory 1005, which is a type of computer storage medium.
In the device shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server, and performing data communication with the background server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; the processor 1001 may be configured to call the intelligent building energy storage allocation program stored in the memory 1005 and execute operations in the intelligent building energy storage allocation method described below, where the method implemented when the intelligent building energy storage allocation program running on the processor is executed may refer to various embodiments of the intelligent building energy storage allocation method of the present application, which are not described herein again.
Referring to fig. 2, fig. 2 is a block diagram of an intelligent building according to an embodiment of the present application, where fig. 2 shows:
the intelligent building 2 comprises a main controller 201 and a user storage device 202, wherein the main controller 201 is connected with the user storage device 202.
The main controller 201 serves as a central processing unit and is responsible for connection and coordination with the respective components. The household storage device 202 is an important component in an intelligent building and comprises a photovoltaic power generation device 2021 and an energy storage device 2022.
The photovoltaic power generation device 2021 is a renewable energy device that converts light energy into electric energy by solar energy. The photovoltaic power plant 2021 includes an inverter for monitoring the real-time output power of the photovoltaic power generation system.
The energy storage device 2022 is used to store electrical energy to provide continuous power support when needed. It may be a battery pack, supercapacitor or other energy storage technology for storing excess electrical energy generated by the photovoltaic power generation device and released for use in the building when required. The energy storage device 2022 may play a key role during peak hours or power down conditions, ensuring that the power supply of the intelligent building is stable. The energy storage battery comprises a battery management system (BMS, battery Management System), wherein the BMS can monitor parameters such as voltage, current, temperature and the like of the energy storage device, and can calculate real-time electric quantity and output power of the energy storage device through the data; the BMS is also responsible for managing the charging and discharging processes of the energy storage device, controls charging and discharging current and voltage according to set logic and strategy, and can provide corresponding state information by monitoring charging and discharging states.
The main controller 201 establishes connection with the user storage device 202, so that the user storage device 202 is monitored and controlled. The main controller 201 can monitor energy consumption of a building through means such as power real-time monitoring equipment and sensors, monitor power generation conditions of photovoltaic power generation equipment through an inverter, monitor energy storage states of energy storage equipment through a BMS, and the like. Based on this information, the main controller 201 can intelligently schedule allocation and use of energy to maximize energy utilization efficiency.
Based on the hardware structure, the embodiment of the intelligent building energy storage distribution method is provided.
Referring to fig. 3, fig. 3 is a flow chart of an intelligent building energy storage distribution method according to an embodiment of the present application, and as shown in fig. 3, the intelligent building energy storage distribution method includes:
s301, acquiring power monitoring data.
In one possible embodiment, the power monitoring data includes a first output power of the photovoltaic power generation device, a power usage of the at least one high load floor, and status information of the energy storage device, the status information including a second output power of the energy storage device, an amount of electricity, and a charge-discharge status.
The first output power of the photovoltaic power generation equipment is monitored in real time through the inverter and fed back to the main controller.
The power consumption of the at least one high-load floor is the sum of the power consumption of each high-load floor, and the power consumption can be monitored by the power real-time monitoring equipment and fed back to the main controller.
The state information of the energy storage device is obtained through a battery management system (BMS, battery Management System), and the BMS can calculate the real-time electric quantity and the second output power of the energy storage device; the BMS may also provide corresponding status information.
It should be noted that the power monitoring data may also be obtained through other monitoring devices, sensors or data recording systems, and the user may select according to actual needs, which is not limited herein.
It can be seen that in this embodiment, real-time power monitoring data can be accurately obtained by various monitoring elements, so that preparation can be made for calculating the predicted power supply duration in the next step.
In one possible embodiment, before calculating the estimated power supply duration for the user storage device to supply power to at least one high load floor during peak hours from the power monitoring data, the method further comprises:
judging that the photovoltaic power generation equipment can meet the electric energy requirement according to the magnitude relation between the first output power and the electric power;
If the first output power is greater than or equal to the electricity consumption power, controlling the photovoltaic power generation equipment to supply power for the at least one high-load floor;
and if the first output power is smaller than the electric power, continuing to execute 'calculating the estimated power supply duration of the user storage equipment for supplying power to at least one high-load floor in the peak period according to the electric power monitoring data'.
Where the electrical energy demand refers to the total amount of electricity required by at least one high load floor during said peak hours.
If the output power of the photovoltaic power plant is greater than or equal to the power usage of at least one high load floor, it is stated that the capacity of the photovoltaic power plant is sufficient to meet the power demand of that high load floor. In this case, the photovoltaic power generation device can directly supply power to the high load floor without relying on an energy storage device for storage and power. This can improve energy utilization efficiency, reduce dependence on energy storage devices, and simultaneously reduce the load pressure of the power system.
If the output power of the photovoltaic power generation equipment is smaller than the power consumption power, the fact that the photovoltaic power generation equipment cannot meet the power requirement of the high-load floor is indicated, in this case, the energy storage equipment is needed to make up for the energy gap, and the energy storage equipment can release stored electric energy to supplement power supply so as to ensure normal operation of the high-load floor.
However, the capacity of the energy storage device is limited, so that the expected power supply duration needs to be calculated according to the power monitoring data, and the relationship between the expected power supply duration and the remaining duration of the peak period is judged to determine that the energy storage device and the photovoltaic power generation device can meet the power requirement of at least one high-load floor.
It can be seen that, in this embodiment, by determining the magnitude relation between the first output power and the electric power of the photovoltaic power generation device, it may be determined whether to perform the subsequent calculation step at the beginning, and if the photovoltaic power generation device can meet the electric energy requirement, unnecessary calculation may be avoided, thereby saving calculation resources and time.
In one possible embodiment, if the first output power is greater than the power usage, subtracting the power usage from the first output power yields a remaining output power, which is used to charge the energy storage device.
If the first output power is larger than the power consumption power, the fact that the electric energy generated by the photovoltaic power generation equipment is redundant electric energy besides meeting the power consumption requirement of at least one high-load floor is indicated, the residual output power is obtained by subtracting the power consumption from the first output power, and the residual output power is used for supplying power to the energy storage equipment.
S302, calculating the expected power supply duration of the user storage equipment for supplying power to at least one high-load floor in the peak period according to the power monitoring data.
Wherein, at least one high load floor is determined according to historical power data of each floor of the intelligent building in peak hours.
If the output power of the photovoltaic power generation equipment is smaller than the power consumption power, the photovoltaic power generation equipment cannot meet the power requirement of the high-load floor, and in this case, the energy storage equipment is required to be used for making up the energy gap, and the stored electric energy can be released by the energy storage equipment to supplement power supply so as to ensure the normal operation of the high-load floor.
However, the capacity of the energy storage device is limited, so that the expected power supply duration needs to be calculated according to the power monitoring data, and the relationship between the expected power supply duration and the remaining duration of the peak period is judged to determine that the energy storage device and the photovoltaic power generation device can meet the power requirement of at least one high-load floor.
The calculating process of the expected power supply duration specifically comprises the following steps:
calculating the total power generation amount of the photovoltaic power generation equipment in a given time: the second output power is multiplied by the number of hours for a given time.
Calculating energy loss of charging and discharging of the energy storage equipment: calculated according to the charge and discharge efficiency of the energy storage device. For example, if the charge and discharge efficiency of the energy storage device is 90%, there is a 10% energy loss per charge and discharge.
Calculating the power supply time of the energy storage device: and reducing the photovoltaic power generation power by using the electric power at the high load floor to obtain the output power to be compensated. After the energy loss is reduced by the current electric quantity of the energy storage device, the remaining electric quantity is divided by the output power to be compensated, and the estimated power supply time of the energy storage device is obtained.
It should be noted that the accuracy of the predictions is affected by a number of factors, including weather changes, equipment performance, system efficiency, etc. Therefore, in practical applications, it may be necessary to continuously adjust and optimize the model, and consider other factors to improve the prediction accuracy.
In a possible embodiment, please participate in fig. 6, fig. 6 is a schematic flow chart of determining at least one high load floor according to an embodiment of the present application, as shown in fig. 6, wherein the determining manner of the at least one high load floor includes the following steps:
s601, historical power data is acquired.
S602, determining at least one high-load floor, wherein the at least one high-load floor simultaneously meets a first condition and a second condition, the first condition is that the sum of peak power of the at least one high-load floor is smaller than or equal to the maximum output power of the user storage equipment, and the second condition is that the sum of total energy consumption of the at least one high-load floor is maximum on the basis of meeting the first condition.
Wherein the historical power data includes total energy consumption and peak power for each floor.
The high-load floors specifically refer to floors with total energy consumption higher than a specific value in the whole peak time of a single electricity consumption floor of the intelligent building, and the floors are usually high in power demand, numerous in electric equipment and high in power. Typical high load floors may be: staff and equipment are numerous office floors, business floors (department stores, shopping centers, etc.), and parking lots under the stores and office floors, and the parking lots have more lighting, monitoring equipment and charging piles, and the power requirements can be higher.
The high load floor may be determined by the historical total energy consumption of each electricity floor, the historical peak power.
The sum of the historical peak power of the first selected high load floor should be less than or equal to the maximum output power of the user storage device, i.e. the first condition is satisfied. This is because the consumer storage device is an energy storage device with a certain maximum output power limitation. If the peak power of the high load floor exceeds the maximum output power of the user storage device, the user storage device will be overloaded, causing overheating, damage or other safety issues, while the user storage device will not be able to efficiently supply power, possibly leading to system instability and energy shortages.
The electricity consumption floor satisfying the first condition may be a combination of a plurality of floors, and the combination may be plural, and each floor in the combination having the highest sum of the total energy consumption is selected as the high load floor.
Wherein the peak hours are determined from a peak-to-valley variation curve, which is a graphical representation describing the change in power demand over time. It shows the power load level over a period of time reflecting the peak and valley periods of power demand.
Typically the peak to valley profile is shown in 24 hours for a complete cycle. The horizontal axis represents time and the vertical axis represents power demand or load level. The highest point of the curve represents the peak load, and the period higher than the peak load value is divided into peak periods, i.e., the period with the highest power demand, by a preset higher peak load value. Similarly, the low point of the curve represents a low peak period, and the period below the low peak load value is divided into low peak periods, i.e., the period with the lowest power demand, by a preset lower low peak load value. The period corresponding to the load value between the peak load value and the low peak load value is a flat peak period, i.e., a period in which the power demand is relatively stable or balanced.
The peak-valley change curve corresponds to the peak-valley time-of-use electricity price of the area, the peak period is high, and the electricity price is high, so that users are encouraged to reduce electricity consumption or take electricity saving measures in the period. The electricity price is the lowest in the low peak period, and the aim is to encourage users to increase electricity consumption in the period so as to fully utilize the power grid supply capacity and average cost. The electricity price is between the peak electricity price and the low peak electricity price in the flat peak period.
Therefore, in order to save electricity cost, the intelligent building can charge the energy storage equipment in a low peak period, and the energy storage equipment supplies power for the floors of the intelligent building in a peak period, namely peak clipping and valley filling. Even if the energy storage device is charged in the peak period, the energy storage device can supply power for the floor of the intelligent building in the peak period, and the cost is lower than that of directly supplying power for the floor of the intelligent building by using the power grid in the peak period. Therefore, the user can flexibly utilize peak-valley time-of-use electricity price to reasonably reduce electricity cost.
It should be noted that the specific peak-valley time-of-use electricity price scheme may vary according to the policies of different regions and power suppliers.
It can be seen that by determining at least one high load floor, by using the energy storage device to power the at least one high load floor on the premise that the at least one high load floor meets both the first condition and the second condition, the load pressure of the grid can be reduced and the overall power load can be helped to be balanced.
S303, judging whether the user storage equipment can meet the electric energy requirement of at least one high-load floor in the peak time according to the relation between the predicted power supply time and the residual time of the peak time.
The predicted power supply duration is a duration which is calculated according to real-time power monitoring data and can be used for continuously supplying power to the user storage equipment from the current moment, so that the residual duration from the current moment to the peak time, namely the peak time, needs to be compared with the calculated predicted power supply duration.
And S304, if the expected power supply time length is greater than or equal to the remaining time length, controlling the user storage equipment to supply power for at least one high-load floor.
Wherein if the power supply time period is expected to be greater than or equal to the remaining time period of the peak hours, it means that the user storage device can provide sufficient power duration to meet the power demand of the high load floor during the peak hours.
S305, if the predicted power supply duration is smaller than the residual duration, the peak time period comprises a first peak time period and a second peak time period, wherein the time period between the first peak time period and the second peak time period is an off-peak time period, the off-peak time period is used for indicating to control to access a first power grid, and the first power grid is used for supplying power for energy storage equipment and at least one high-load floor; and determining an electrical energy supply strategy according to the relationship between the current time and the first peak time period, the second peak time period and the off-peak time period.
Wherein if the expected power supply duration is less than the remaining duration of the peak hours, meaning that the user storage device cannot provide sufficient power duration throughout the peak hours, further adoption of other power supply strategies is required.
Among other power supply strategies are:
the entire peak period is divided into a first peak period and a second peak period, with an off-peak period between the first peak period and the second peak period. If the predicted power supply duration cannot cover the peak time period, the relationship between the current time and the first peak time period, the second peak time period and the off-peak time period can be judged to determine the power supply strategy.
The electricity price of the off-peak time is lower than that of the first peak time and the second peak time, so that if the power supply duration is not enough, the power grid is accessed to charge the energy storage device under the corresponding condition, and the energy storage device supplies power to the high-load floor in the peak time, so that the electricity cost is lower than that the electricity cost for directly using the power grid to supply power to the high-load floor.
In one possible embodiment, the first peak period and the second peak period are in temporal succession.
Wherein the first peak period is preceded and the second peak period is followed, the reason for having such a precedence relationship is that:
if the current time is in the first peak period, the expected power supply time period is less than the whole peak period, and no matter the expected power supply time period is longer or shorter than the first peak period, the energy storage device is required to be charged by using the non-peak period so as to realize that the energy storage device can continuously supply power to the high-load floor in the second peak period. Such a power supply still reduces the cost of electricity.
If the current time is in the second peak time, the predicted power supply time period is smaller than the remaining time period of the second peak time period, the power grid can be directly accessed to supply power to the high-load floor in the remaining time period, and the energy storage device does not need to be charged immediately, because the energy storage device does not need to be used for supplying power to the high-load floor after the second peak time period.
The energy storage device can be charged again in the low peak period at night.
In one possible embodiment, referring to fig. 7, fig. 7 is a flowchart of an electric energy supply strategy according to an embodiment of the present application, as shown in fig. 7, where the current time is in a first peak period, and the electric energy supply strategy includes:
And S701, judging whether the user storage equipment can meet the first electric energy requirement of at least one high-load floor in the first peak period according to the relation between the expected power supply time length and the first residual time length of the first peak period.
And S702, if the expected power supply time period is longer than or equal to the first residual time period, controlling the user storage equipment to supply power for at least one high-load floor in the first peak time period.
And S703, if the predicted power supply duration is smaller than the first residual duration, controlling to access to a second power grid, wherein the second power grid is used for indicating to supply power to at least one high-load floor, and simultaneously controlling the photovoltaic power generation equipment to supply power to the at least one high-load floor by using the generated electric energy.
And if the predicted power supply time length is greater than or equal to the first residual time length, namely judging that the user storage equipment can meet at least one first power requirement in a first peak time period of the high-load floor, and supplying power to the high-load floor by the user storage equipment in the first peak time period.
If the predicted power supply duration is smaller than the first remaining duration, that is, it is judged that the user storage equipment cannot meet the first power requirement of at least one high-load floor in the first peak period, the user storage equipment can only access the second power grid to supply power to the high-load floor. The power generated by the photovoltaic power generation equipment directly supplies power to the high-load floors for the following reasons: in the first peak period, the electric energy generated by the photovoltaic equipment directly supplies power to the high-load floor, and the energy storage equipment is not required to be charged, because the corresponding electricity price for reducing the power supply to the high-load floor in the peak period is the same as the corresponding electricity price for charging the energy storage equipment, and the corresponding electricity price for reducing the power supply to the high-load floor in the peak period is the same as the peak electricity price, the effect of reducing the electricity cost is not generated, and the electricity consumption of the photovoltaic power generation equipment for directly supplying the electricity to the high-load floor can also reduce the load pressure of a power grid.
Therefore, in this embodiment, by evaluating the relationship between the estimated power supply duration of the user storage device and the first remaining duration of the first peak period, the optimal energy supply manner is determined, so that the electricity cost can be reduced as much as possible on the premise of ensuring stable power supply.
In one possible embodiment, the current time is at the second peak period, and the power supply strategy includes:
and controlling access to a third power grid, wherein the third power grid is used for indicating to supply power to the at least one high-load floor, and simultaneously controlling the photovoltaic power generation equipment to supply power to the at least one high-load floor.
The current time is in the second peak time, the predicted power supply time is smaller than the remaining time of the second peak time, and the power grid can be directly accessed to supply power to the high-load floor in the remaining time, and the energy storage device is not required to be charged immediately, because the energy storage device is not required to be used for supplying power to the high-load floor after the second peak time.
The energy storage device can be charged again in the low peak period at night.
It can be seen that in this embodiment, when the predicted power supply period is insufficient to cover the second peak period, the third power grid is directly accessed to ensure the power supply requirement of the high load floor.
In one possible embodiment, the current time is during the off-peak period, and the power supply strategy comprises:
and controlling to be connected to the first power grid, and simultaneously controlling the photovoltaic power generation equipment to charge the energy storage equipment with the generated electric energy.
The first power grid is used for supplying power to the energy storage equipment and the high-load floors.
Because the power supply duration is not expected to cover the whole peak time period, whether the power supply duration is expected to cover the first peak time period or not, the first power grid is required to be connected to charge the energy storage device in the off-peak time period, and the charging is to realize that the electric quantity of the energy storage device can cover the second peak time period as much as possible.
The photovoltaic power generation equipment charges the energy storage equipment with the generated electric energy, and the reason is that: in off-peak hours, if the electric energy generated by the photovoltaic power generation device is directly supplied to the high load floor, the reduced corresponding electricity price is off-peak electricity price, generally flat peak electricity price, and if the electric energy generated by the photovoltaic power generation device is charged to the energy storage device, and then the energy storage device is used for supplying power to the high load floor in peak hours, the reduced corresponding electricity price is high peak electricity price. Thus, the charging of the energy storage device with electrical energy generated by the photovoltaic power generation device during off-peak hours can reduce the cost of electricity.
Therefore, in the embodiment of the application, the expected power supply time of the energy storage device can be increased by charging the energy storage device in the off-peak time, so that the expected power supply time of the energy storage device can cover the second peak time as much as possible, the electricity cost is reduced, and the load pressure of the power grid is reduced.
In one possible embodiment, before the acquiring the power monitoring data, the method further includes:
and controlling access to a fourth power grid, wherein the fourth power grid is used for indicating that other floors except the at least one high-load floor are powered in the first peak time period, the second peak time period and the off-peak time period.
Wherein for other low load floors than the high load floor, the grid power supply can be directly used.
In one possible embodiment, the first, second, third, fourth electrical grids are used to characterize electrical grids of a particular power magnitude.
Wherein the power of the first power grid is to meet the energy storage device charging power and the power usage of the at least one high load floor during off-peak hours.
Wherein the power of the second grid is to meet the power usage of at least one high load floor during the first peak hours.
Wherein the power of the third network is to meet the power usage of at least one high load floor during the second peak hours.
The power of the fourth power grid is required to meet the power consumption of other floors except at least one high-load floor in the first peak time period, the second peak time period and the off-peak time period.
It can be seen that, in this embodiment, the electricity demand of each floor can be ensured by flexibly accessing to the power grid with a specific size.
It can be seen that in the embodiment of the present application, the main controller of the intelligent building first acquires the power monitoring data; secondly, calculating the expected power supply duration of the user storage equipment for supplying power to at least one high-load floor in a peak period according to the power monitoring data, wherein the at least one high-load floor is determined according to the historical power data of each floor of the intelligent building in the peak period; finally, judging whether the user storage equipment can meet the electric energy requirement of at least one high-load floor in the peak time according to the size relation between the predicted power supply time and the residual time of the peak time; if the predicted power supply time length is greater than or equal to the residual time length, controlling the user storage equipment to supply power for at least one high-load floor; if the predicted power supply duration is less than the remaining duration, the peak time period comprises a first peak time period and a second peak time period, wherein the time period between the first peak time period and the second peak time period is an off-peak time period, the off-peak time period is used for indicating to control the access to a first power grid, and the first power grid is used for supplying power for the energy storage equipment and at least one high-load floor; and determining an electrical energy supply strategy according to the relationship between the current time and the first peak time period, the second peak time period and the off-peak time period. In summary, the technical scheme provided by the application can accurately determine the power supply strategy of each floor by utilizing the cooperation of the user storage equipment and the power grid to supply power in different periods by monitoring the real-time power utilization condition of each floor of the intelligent building and combining the regional power utilization peak.
The foregoing description of the embodiments of the present application has been presented primarily in terms of a method-side implementation. It will be appreciated that the server, in order to implement the above-described functions, includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware 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.
In accordance with the above-described embodiments, referring to fig. 4, fig. 4 is a functional unit block diagram of an intelligent building energy storage distribution apparatus according to an embodiment of the present application, as shown in fig. 4, the intelligent building energy storage distribution apparatus 4 includes:
the data acquisition unit 401 is configured to acquire power monitoring data.
A processing unit 402, configured to calculate, according to the power monitoring data, an estimated power supply duration for the user storage device to supply power to at least one high-load floor during a peak period, where the at least one high-load floor is determined according to historical power data of each floor of the intelligent building during the peak period; judging whether the user storage equipment can meet the electric energy requirement of at least one high-load floor in the peak time according to the relation between the predicted power supply time and the residual time of the peak time; and if the predicted power supply time period is longer than or equal to the residual time period, controlling the user storage equipment to supply power for the at least one high-load floor; and if the predicted power supply duration is less than the remaining duration, the peak time period includes a first peak time period and a second peak time period, the time period between the first peak time period and the second peak time period is an off-peak time period, the off-peak time period is used for indicating to control access to a first power grid, and the first power grid is used for supplying power to the energy storage device and the at least one high load floor; and determining an electrical energy supply strategy according to the relationship between the current time and the first peak time period, the second peak time period and the off-peak time period.
It can be seen that in the embodiment of the present application, the main controller of the intelligent building first acquires the power monitoring data; secondly, calculating the expected power supply duration of the user storage equipment for supplying power to at least one high-load floor in a peak period according to the power monitoring data, wherein the at least one high-load floor is determined according to the historical power data of each floor of the intelligent building in the peak period; finally, judging whether the user storage equipment can meet the electric energy requirement of at least one high-load floor in the peak time according to the size relation between the predicted power supply time and the residual time of the peak time; if the predicted power supply time length is greater than or equal to the residual time length, controlling the user storage equipment to supply power for at least one high-load floor; if the predicted power supply duration is less than the remaining duration, the peak time period comprises a first peak time period and a second peak time period, wherein the time period between the first peak time period and the second peak time period is an off-peak time period, the off-peak time period is used for indicating to control the access to a first power grid, and the first power grid is used for supplying power for the energy storage equipment and at least one high-load floor; and determining an electrical energy supply strategy according to the relationship between the current time and the first peak time period, the second peak time period and the off-peak time period. In summary, the technical scheme provided by the application can accurately determine the power supply strategy of each floor by utilizing the cooperation of the user storage equipment and the power grid to supply power in different periods by monitoring the real-time power utilization condition of each floor of the intelligent building and combining the regional power utilization peak.
In one possible embodiment, the power monitoring data includes a first output power of the photovoltaic power generation device, a power usage of the at least one high load floor, and status information of the energy storage device, the status information including a second output power of the energy storage device, an amount of electricity, and a charge-discharge status.
In a possible embodiment, in terms of the manner of determination of the at least one high-load floor, the data acquisition unit 401 is further configured to:
acquiring the historical power data, wherein the historical power data comprises total energy consumption and peak power of each floor;
the processing unit 402 is further configured to:
determining the at least one high load floor, wherein the at least one high load floor simultaneously meets a first condition that the sum of the peak powers of the at least one high load floor is smaller than or equal to the maximum output power of the user storage equipment and a second condition that the sum of the total energy consumption of the at least one high load floor is maximum on the basis of meeting the first condition.
In a possible embodiment, in that the current time is in the first peak period, the processing unit 402 is further configured to:
Judging whether the user storage equipment can meet first electric energy requirements of the at least one high-load floor in the first peak period according to the size relation between the predicted power supply duration and first residual duration of the first peak period;
if the estimated power supply time period is greater than or equal to the first residual time period, controlling the user storage equipment to supply power for the at least one high-load floor in the first peak period;
and if the predicted power supply duration is smaller than the first residual duration, controlling to access a second power grid, wherein the second power grid is used for indicating to supply power to the at least one high-load floor and controlling the photovoltaic power generation equipment to supply power to the at least one high-load floor by the generated electric energy.
In a possible embodiment, in that the current time is at the second peak period, the processing unit 402 is further configured to:
and controlling access to a third power grid, wherein the third power grid is used for indicating to supply power to the at least one high-load floor, and simultaneously controlling the photovoltaic power generation equipment to supply power to the at least one high-load floor.
In a possible embodiment, in that the current time is in the off-peak period, the processing unit 402 is further configured to:
And controlling to be connected to the first power grid, and simultaneously controlling the photovoltaic power generation equipment to charge the energy storage equipment with the generated electric energy.
In a possible embodiment, the processing unit 402 is further configured to:
judging that the photovoltaic power generation equipment can meet the electric energy requirement according to the magnitude relation between the first output power and the electric power;
if the first output power is greater than or equal to the electricity consumption power, controlling the photovoltaic power generation equipment to supply power for the at least one high-load floor;
and if the first output power is smaller than the electric power, continuing to execute 'calculating the estimated power supply duration of the user storage equipment for supplying power to at least one high-load floor in the peak period according to the electric power monitoring data'.
In a possible embodiment, the processing unit 402 is further configured to:
and controlling access to a fourth power grid, wherein the fourth power grid is used for indicating that other floors except the at least one high-load floor are powered in the first peak time period, the second peak time period and the off-peak time period.
It can be understood that, since the method embodiment and the apparatus embodiment are different presentation forms of the same technical concept, the content of the method embodiment portion in the present application should be synchronously adapted to the apparatus embodiment portion, which is not described herein.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a server according to an embodiment of the present application, as shown in fig. 5, where the server 5 includes a processor 51, a memory 53, a communication interface 52, and one or more programs 531, and the one or more programs 531 are stored in the memory 53 and configured to be executed by the processor 51, and the programs include a method for executing the method according to the embodiments. The server 5 may be the server in fig. 1.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed method, apparatus and system may be implemented in other manners. For example, the device embodiments described above are merely illustrative; for example, the division of the unit is just one logic function division, and there may be another division manner when actually implementing the unit; for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may be physically included separately, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: u disk, removable hard disk, magnetic disk, optical disk, volatile memory or nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. The volatile memory may be random access memory (random access memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of random access memory (random access memory, RAM) are available, such as Static RAM (SRAM), dynamic Random Access Memory (DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced Synchronous Dynamic Random Access Memory (ESDRAM), synchronous Link DRAM (SLDRAM), direct memory bus RAM (DR RAM), and the like, various mediums that can store program code.
Although the present application is disclosed above, the present application is not limited thereto. Variations and modifications, including combinations of the different functions and implementation steps, as well as embodiments of the software and hardware, may be readily apparent to those skilled in the art without departing from the spirit and scope of the application.
Claims (10)
1. The intelligent building energy storage distribution method is characterized by being applied to a main controller of the intelligent building, wherein the intelligent building comprises the main controller and a household storage device connected with the main controller, and the household storage device comprises a photovoltaic power generation device and an energy storage device; the method comprises the following steps:
acquiring power monitoring data;
calculating the expected power supply duration of the user storage equipment for supplying power to at least one high-load floor in a peak period according to the power monitoring data, wherein the at least one high-load floor is determined according to historical power data of each floor of the intelligent building in the peak period;
judging whether the user storage equipment can meet the electric energy requirement of at least one high-load floor in the peak time according to the relation between the predicted power supply time and the residual time of the peak time;
If the predicted power supply time length is greater than or equal to the residual time length, controlling the user storage equipment to supply power for the at least one high-load floor;
if the predicted power supply duration is less than the remaining duration, the peak time period comprises a first peak time period and a second peak time period, the time period between the first peak time period and the second peak time period is an off-peak time period, the off-peak time period is used for indicating to control to access a first power grid, and the first power grid is used for supplying power to the energy storage equipment and the at least one high-load floor; and determining an electrical energy supply strategy according to the relationship between the current time and the first peak time period, the second peak time period and the off-peak time period.
2. The method of claim 1, wherein the power monitoring data comprises a first output power of the photovoltaic power generation device, a power usage of the at least one high load floor, status information of the energy storage device, the status information comprising a second output power, an amount of electricity, and a charge-discharge status of the energy storage device.
3. Method according to claim 1 or 2, characterized in that the manner of determination of the at least one high-load floor comprises the following steps:
Acquiring the historical power data, wherein the historical power data comprises total energy consumption and peak power of each floor;
determining the at least one high load floor, wherein the at least one high load floor simultaneously meets a first condition that the sum of the peak powers of the at least one high load floor is smaller than or equal to the maximum output power of the user storage equipment and a second condition that the sum of the total energy consumption of the at least one high load floor is maximum on the basis of meeting the first condition.
4. The method of claim 1, wherein the current time is at the first peak period, the power supply strategy comprising:
judging whether the user storage equipment can meet first electric energy requirements of the at least one high-load floor in the first peak period according to the size relation between the predicted power supply duration and first residual duration of the first peak period;
if the estimated power supply time period is greater than or equal to the first residual time period, controlling the user storage equipment to supply power for the at least one high-load floor in the first peak period;
and if the predicted power supply duration is smaller than the first residual duration, controlling to access a second power grid, wherein the second power grid is used for indicating to supply power to the at least one high-load floor and controlling the photovoltaic power generation equipment to supply power to the at least one high-load floor by the generated electric energy.
5. The method of claim 1, wherein the current time is at the second peak time, the power supply strategy comprising:
and controlling access to a third power grid, wherein the third power grid is used for indicating to supply power to the at least one high-load floor, and simultaneously controlling the photovoltaic power generation equipment to supply power to the at least one high-load floor.
6. The method of claim 1, wherein the current time is during the off-peak period, the power supply strategy comprising:
and controlling to be connected to the first power grid, and simultaneously controlling the photovoltaic power generation equipment to charge the energy storage equipment with the generated electric energy.
7. The method of claim 2, wherein prior to calculating an estimated power supply duration for the user storage device to power at least one high load floor during peak hours from the power monitoring data, the method further comprises:
judging that the photovoltaic power generation equipment can meet the electric energy requirement according to the magnitude relation between the first output power and the electric power;
if the first output power is greater than or equal to the electricity consumption power, controlling the photovoltaic power generation equipment to supply power for the at least one high-load floor;
And if the first output power is smaller than the electric power, continuing to execute 'calculating the estimated power supply duration of the user storage equipment for supplying power to at least one high-load floor in the peak period according to the electric power monitoring data'.
8. The method of claim 1, wherein prior to the acquiring power monitoring data, the method further comprises:
and controlling access to a fourth power grid, wherein the fourth power grid is used for indicating that other floors except the at least one high-load floor are powered in the first peak time period, the second peak time period and the off-peak time period.
9. An intelligent building energy storage distribution device, the device comprising:
the data acquisition unit is used for acquiring power monitoring data;
the processing unit is used for calculating the expected power supply duration of the user storage equipment for supplying power to at least one high-load floor in the peak period according to the power monitoring data, and the at least one high-load floor is determined according to the historical power data of each floor of the intelligent building in the peak period; judging whether the user storage equipment can meet the electric energy requirement of at least one high-load floor in the peak time according to the relation between the predicted power supply time and the residual time of the peak time; and if the predicted power supply time period is longer than or equal to the residual time period, controlling the user storage equipment to supply power for the at least one high-load floor; and if the predicted power supply duration is less than the remaining duration, the peak time period includes a first peak time period and a second peak time period, the time period between the first peak time period and the second peak time period is an off-peak time period, the off-peak time period is used for indicating to control access to a first power grid, and the first power grid is used for supplying power to the energy storage device and the at least one high load floor; and determining an electrical energy supply strategy according to the relationship between the current time and the first peak time period, the second peak time period and the off-peak time period.
10. A server comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-8.
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