Micro-grid virtual energy storage optimization operation method and system for multiple scenes

Abstract

The invention relates to a micro-grid virtual energy storage optimization operation method and system for multiple scenes, and relates to the field of virtual energy storage, and the method comprises the steps: collecting the historical power utilization information and the current time period of a preset office area; responding to the historical electricity consumption information to call time period electricity consumption data; combining the time period power consumption data with the current time period to generate a current power consumption demand; generating an energy control parameter based on the current electricity demand; and responding to the energy control parameters to control a preset power control system to perform power control so as to perform virtual energy storage on the power. The method has the effect of improving the reliability of operation optimization.

Description

Technical Field

[0001] This invention relates to the field of virtual energy storage, and in particular to a method and system for optimizing the operation of virtual energy storage in microgrids for multiple scenarios. Background Technology

[0002] Microgrid virtual energy storage refers to a flexible regulation technology that integrates and coordinates distributed resources with flexible adjustment capabilities within a microgrid (rather than relying on traditional physical energy storage devices such as batteries and flywheels) to simulate the "charging" and "discharging" characteristics of a physical energy storage system.

[0003] Currently, microgrid virtual energy storage technology has been initially applied in some specific scenarios. For example, in microgrids dominated by residential loads, the peak-valley difference of the power grid can be smoothed by aggregating the loads of adjustable household appliances such as air conditioners and water heaters from residential users.

[0004] In office settings, ownership and usage rights of electrical equipment are separated, and user cooperation in adjusting equipment is more influenced by management mechanisms. Relying solely on economic incentives, as seen in residential settings, is ineffective. This results in a lack of effective response guarantees when virtual energy storage systems coordinate office equipment to participate in "charging and discharging," thereby reducing the reliability of operational optimization and requiring improvement. Summary of the Invention

[0005] To improve the reliability of operation optimization, this invention provides a method and system for optimizing the operation of virtual energy storage in microgrids for multiple scenarios.

[0006] In a first aspect, the present invention provides a method for optimizing the operation of virtual energy storage in microgrids for multiple scenarios, employing the following technical solution: A method for optimizing the operation of virtual energy storage in microgrids for multiple scenarios, comprising: Collect historical electricity consumption information and current time period for the preset office area; In response to the historical electricity consumption information, electricity consumption data for a specific time period is retrieved; Combine the electricity consumption data for the specified time period with the current time period to generate the current electricity demand; Energy control parameters are generated based on the current electricity demand. In response to the energy control parameters, a preset power control system is controlled to perform power control, thereby performing virtual energy storage.

[0007] By adopting the above technical solution, the system collects historical electricity consumption information of the office area and combines it with the characteristics of the current time period to accurately analyze the electricity consumption patterns of different time periods, generate current electricity demand predictions that fit actual needs, and based on these needs, generate targeted energy control parameters adapted to the office scenario. Through the power control system, it realizes flexible adjustment of office equipment, simulating the "charging and discharging" characteristics of physical energy storage. This fully considers the characteristics of the separation of ownership and usage rights of equipment in the office area, making the energy control parameters more in line with the management mechanism and equipment operation rules of the office scenario, thereby improving the reliability of operation optimization.

[0008] Optional, also includes: Collect office authorization information; When the office authorization information matches the preset authorization information, collect the workstation image information of the preset workstation location; Based on the workstation image information, determine whether there are office workers at the workstation location; If it does not exist, the preset workstation number is scanned and identified from the workstation image information to obtain the current workstation number; Based on the current workstation number, the personnel at the current workstation are identified, and indoor image information is collected. When the indoor image information does not include the person at the current workstation, turn off the power to the display of the workstation corresponding to the current workstation number.

[0009] Optional, also includes: Acquire regression detection images; The presence of office workers at the workstation location is determined based on the regression detection image. When present, personnel identification is performed on office workers from the regression detection image to determine the personnel at the regression workstation; When the returning worker is the same as the current worker, turn on the power of the display at the workstation corresponding to the current workstation number. When the returning workstation personnel is inconsistent with the current workstation personnel, the posture of the returning workstation personnel is obtained from the regression detection image; The power supply to the display of the workstation corresponding to the current workstation number shall be turned on only if the returning personnel's posture is consistent with the preset office posture.

[0010] Optional, also includes: Collect corridor image information; Based on the corridor image information and preset human characteristics, the current location and walking direction of the person can be determined; The system generates a lighting route in response to the direction of pedestrian movement and the preset corridor terrain. The distance to the personnel's light is output by combining the personnel's current position and the preset light position; The light intensity is matched based on the distance between the person and the light source; The lighting fixtures are controlled to turn on and off based on the lighting route and the light intensity.

[0011] Optional, also includes: Acquire elevator image information; When the elevator image information contains the features of the person, the floor is identified from the preset floor button positions in the elevator image information to know the floor reached and the number of floors reached. When the number of floors reached is 1, turn on the floor lights of the reached floor; When the number of floors reached is greater than 1, the elevator entrance light number is matched in response to the number of floors reached. Control the elevator entrance light corresponding to the elevator entrance light number to turn on in advance, and capture the elevator entrance image; When the elevator entrance image contains the person's features, the current floor is output, and the floor lights are turned on based on the current floor, while the other elevator entrance lights are turned off.

[0012] Optional, also includes: When the floor reached is a preset parking floor, the person's features are identified from the elevator image information to determine the identity of the elevator passenger. The vehicle's parking location is determined in response to the identity of the elevator personnel. Collect the current elevator number; The current elevator position is known based on the current elevator number; The system combines the vehicle's parking location, the current elevator location, and the preset parking floor terrain to generate a light-guided route. The corresponding lights are turned on according to the light guidance route to provide light guidance.

[0013] Optional, also includes: In response to the vehicle parking location and parking floor terrain, the nearest exit location is matched; The exit guidance route is generated by combining the vehicle parking location, the nearest exit location, and the terrain of the parking floor. Based on the exit guidance route, control the corresponding lights to turn on for lighting guidance, and collect information on vehicle exits. When the vehicle departure situation matches the preset completion departure situation, the number of vehicles moving on the parking floor is collected. When the number of vehicles in transit is 0, the power supply to the preset garage exit gate is turned off.

[0014] Optional, also includes: Capture images of the garage entrance; When the garage entrance image contains preset vehicle features, license plate recognition is performed on the vehicle features from the garage entrance image to determine the license plate of the current vehicle; Determine whether the current vehicle's license plate has been entered into a preset license plate registration database; If it falls into the category, the elevator number used by the vehicle owner will be matched based on the current vehicle license plate. The optimal parking location is matched based on the elevator number used by the car owner and the preset parking garage, and the vehicle entrance location is collected. The system generates an entry guidance route in response to the optimal parking location, the vehicle entrance location, and the parking floor topography. The corresponding lights are turned on according to the inbound guidance route to provide lighting guidance.

[0015] Optional, also includes: If the license plate of the current vehicle is not in the license plate registration database, then the vehicle entrance location is collected; The system responds to the vehicle entrance location, the preset underground elevator location, and the preset vehicle parking garage to determine the location of the nearest elevator. The nearest directional route is generated by combining the vehicle entrance location, the nearest elevator location, and the parking floor terrain. The faint light number is determined based on the nearest guiding route; Based on the nearest guiding route, the corresponding light is turned on to provide lighting guidance, while the light corresponding to the weak light number is turned on at a preset brightness value.

[0016] Secondly, this application provides a microgrid virtual energy storage optimization operation system for multiple scenarios, employing the following technical solution: A microgrid virtual energy storage optimization operation system for multiple scenarios includes: The data acquisition module is used to collect historical electricity consumption information and the current time period. The memory is used to store programs that implement any of the above-mentioned methods for optimizing the operation of virtual energy storage in microgrids for multiple scenarios; The processor is used to load and execute programs stored in memory.

[0017] In summary, this application includes at least one of the following beneficial technical effects: 1. By collecting historical electricity consumption information of the office area and combining it with the characteristics of the current time period, the electricity consumption patterns of different time periods are accurately analyzed to generate current electricity demand forecasts that fit actual needs. Based on these needs, targeted energy control parameters are generated to suit the office scenario. Through the power control system, flexible adjustment of office equipment is achieved, simulating the "charging and discharging" characteristics of physical energy storage. This fully considers the characteristics of the separation of ownership and usage rights of equipment in the office area, making the energy control parameters more in line with the management mechanism and equipment operation patterns of the office scenario, thereby improving the reliability of operation optimization. 2. By collecting regression detection images, the system first determines whether there are office workers at the workstation. If so, it identifies the personnel. When the regressed personnel matches the current workstation personnel, the corresponding monitor is turned on directly to ensure normal use by authorized personnel. If the personnel do not match, the system uses posture recognition to determine whether they are in a preset office posture. The device is turned on only when the posture matches, avoiding unnecessary energy consumption caused by unauthorized personnel or temporary visitors accidentally starting the device. This ensures the normal working needs of office workers and reduces unnecessary power consumption by precisely controlling the device's start and stop. This allows the virtual energy storage system to more accurately match the actual usage scenario when adjusting the load of office equipment, enhancing the reliability of the device's adjustment response. 3. By understanding vehicle parking locations and parking floor topography, the system accurately matches the nearest exit and generates an optimal exit route. Corresponding lights are activated to guide the way, facilitating quick exit location for vehicles while avoiding unnecessary lighting energy consumption. Simultaneously, the system collects real-time data on vehicle exits. Once a vehicle has completely exited, it counts the number of vehicles moving through the parking floor and only shuts off the exit gate when there are no vehicles moving. This breaks away from the traditional, inefficient approach of constantly on and off parking garage lighting and gates. While meeting vehicle passage needs, it reduces energy waste through dynamic equipment operation, making parking garage management more intelligent and energy-efficient. Attached Figure Description

[0018] Figure 1 This is a flowchart of a method for optimizing the operation of virtual energy storage in microgrids across multiple scenarios. Detailed Implementation

[0019] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0020] Reference Figure 1 This application discloses a method for optimizing the operation of virtual energy storage in microgrids for multiple scenarios, including the following steps: S1: Collect historical electricity consumption information and current time period for the preset office area.

[0021] The office area refers to an office space that requires power management and virtual energy storage optimization. In this embodiment, the office area is an entire office building.

[0022] Historical electricity consumption information refers to the electricity consumption data records of this office area over a past period. The specific historical time period is preset by those skilled in the art and will not be elaborated here. Historical electricity consumption information is retrieved from a pre-set electricity consumption data repository. Each instance of electricity consumption data is stored in the electricity consumption data repository. The electricity consumption data repository is preset by those skilled in the art and will not be elaborated here.

[0023] The current time period refers to the specific time interval during which data acquisition and power control are performed. The current time period is obtained through system clock data acquisition.

[0024] S2: Retrieve time period electricity consumption data in response to the historical electricity consumption information.

[0025] Electricity consumption data for specific time periods refers to detailed electricity consumption data for each time period. This data can be retrieved by reviewing historical electricity consumption information. Historical electricity consumption information includes this time-period electricity consumption data.

[0026] S3: Combine the electricity consumption data for the specified time period with the current time period to generate the current electricity demand.

[0027] Current electricity demand refers to the electricity consumption requirement of an office area within the current time period, derived from the analysis of time-period electricity consumption data and the current time period itself. By understanding time-period electricity consumption data, we can know the electricity consumption situation at each time period. Combined with the current time period, we can understand the expected electricity consumption scale, the operating requirements of electrical equipment, and the distribution of electricity load in the office area within the current time period. This includes information such as the total electricity required, the time of peak electricity consumption, and the power intensity of specific types of equipment, thus obtaining the current electricity demand.

[0028] S4: Generate energy control parameters based on the current electricity demand.

[0029] Energy control parameters refer to specific parameters used to control the operation of a power system. Examples include power distribution ratios, equipment start-up and shutdown times, and power regulation values.

[0030] By analyzing and transforming the current electricity demand, specific parameters are determined to guide the power control system in power management and virtual energy storage operations, thereby obtaining energy control parameters.

[0031] The specific methods for analysis and transformation are common knowledge in this field and will not be elaborated here.

[0032] Energy control parameters can accurately match current power consumption demands, ensuring that the power system meets the power needs of the office area while achieving reasonable power allocation, efficient utilization, and virtual energy storage effects. For example, power adjustment values ​​for equipment such as air conditioners and lighting can be set according to the current peak power demand, or the power allocation ratio can be determined according to the power priority of different equipment.

[0033] S5: In response to the energy control parameters, control the preset power control system to perform power control, thereby performing virtual energy storage.

[0034] A power control system is a system used for the overall management and control of electricity in an office area. Power control systems are pre-configured by those skilled in the art and will not be elaborated upon here.

[0035] The power control system controls power using energy control parameters, thereby enabling virtual energy storage of electricity.

[0036] It also includes the following steps: S60: Collect office authorization information.

[0037] Office authorization information refers to information used to verify whether the system can perform image detection within the office. This information is retrieved from a pre-defined system permission library. The system permission library contains this office authorization information. This library is pre-set by those skilled in the art and will not be elaborated upon here.

[0038] S61: When the office authorization information is consistent with the preset authorization information, collect the workstation image information of the preset workstation location.

[0039] The authorization information refers to the baseline information used to determine whether a user grants authorization to the system. This authorization information is pre-set by those skilled in the art and will not be elaborated upon here.

[0040] A workstation location refers to a pre-defined work point within an office where image detection is required. Workstation locations are predetermined by those skilled in the art and will not be elaborated upon here.

[0041] Workstation image information refers to real-time images of the workstation and its surrounding environment captured by cameras deployed near the workstation.

[0042] When the office authorization information matches the confirmed authorization information, it means the user has confirmed the system's authorization request and can take images of the office environment. Therefore, it is necessary to collect workstation image information for subsequent steps.

[0043] S62: Determine whether there are office workers at the workstation location based on the workstation image information.

[0044] The system identifies whether there are pre-defined human characteristics at a workstation location from the workstation image information, thereby determining whether there are office workers at the workstation location.

[0045] Human characteristics refer to the relevant features used to identify whether a person exists in an image. Human characteristics are pre-defined by those skilled in the art and will not be elaborated upon here.

[0046] S63: If it does not exist, then scan and identify the preset workstation number from the workstation image information to obtain the current workstation number.

[0047] The workstation number refers to the number corresponding to each workstation location. The specific workstation number corresponding to each workstation location is predetermined by those skilled in the art and will not be elaborated here.

[0048] The current workstation number refers to the specific number corresponding to that workstation, extracted from the currently collected workstation image information using image recognition technology. Image recognition technology is common knowledge in this field and will not be elaborated upon here.

[0049] If there are no human figures at the workstation, it means there are no office workers at the workstation. The current workstation number needs to be identified first for subsequent steps.

[0050] S64: Based on the current workstation number, obtain the personnel at the current workstation and collect indoor image information.

[0051] The personnel at the current workstation refer to the information of the office staff responsible for that workstation, which is pre-bound to the current workstation number. This data is stored in a pre-defined personnel database and can be retrieved directly using the current workstation number. The personnel database is common knowledge in this field and will not be elaborated upon here.

[0052] Indoor image information refers to image data of the overall indoor environment captured by image acquisition equipment covering the entire office, used to determine whether the person at the current workstation is in the office (rather than just leaving the workstation).

[0053] Once the personnel at the current workstation are identified, indoor image information needs to be collected first for subsequent steps.

[0054] S65: When the indoor image information does not include the personnel at the current workstation, turn off the power of the display at the workstation location corresponding to the current workstation number.

[0055] When the indoor image information does not include the person at the current workstation, it means that the person at the current workstation has left the office. The power of the monitor at the workstation corresponding to the current workstation number should be turned off to reduce unnecessary power consumption, achieve power saving and rational utilization, and thus assist in the virtual energy storage optimization of the microgrid.

[0056] It also includes the following steps: S660: Acquire regression detection images.

[0057] Regression detection images refer to image data that the system continuously captures at a workstation location via camera after the workstation is determined to be "unoccupied," and is used to monitor whether any personnel return to the workstation.

[0058] S661: Determine whether there are office workers at the workstation location based on the regression detection image.

[0059] This step is the same as S62 above, and will not be repeated here.

[0060] S662: When present, perform personnel identification from the regression detection image to determine the personnel at the regression workstation.

[0061] "Returning workstation personnel" refers to the identity information of personnel who have returned to their workstations. These personnel can be identified by performing personnel recognition on office staff from regression detection images. Personnel recognition technology is common knowledge in this field and will not be elaborated upon here.

[0062] When there are office workers at the workstation, it is necessary to first identify the workers returning to the workstation for subsequent steps.

[0063] S663: When the returning workstation personnel are the same as the current workstation personnel, turn on the power of the display of the workstation position corresponding to the current workstation number.

[0064] When the person returning to the workstation matches the person currently at the workstation, it means that the office worker at that workstation has returned to their workstation and can turn on the power to the monitor at the workstation corresponding to the current workstation number.

[0065] S664: When the returning workstation personnel are inconsistent with the current workstation personnel, perform posture recognition on the returning workstation personnel from the regression detection image to obtain the posture of the returning personnel.

[0066] Returning personnel posture refers to the body posture and movement state of personnel returning to their workstations.

[0067] The posture of the regressed worker can be obtained by performing posture recognition on the regressed workstation from the regression detection image. Posture recognition technology is common knowledge in this field and will not be elaborated here.

[0068] When the person returning to the workstation is different from the person currently at the workstation, it means that the person sitting at that workstation is not the person corresponding to that office position. It is necessary to first identify the posture of the returning person for subsequent steps.

[0069] S665: Power on the display of the workstation corresponding to the current workstation number is turned on only when the returning personnel's posture is consistent with the preset office posture.

[0070] Office posture refers to the behavioral posture when operating a computer for office work. Office posture is predetermined by those skilled in the art and will not be elaborated upon here.

[0071] When the returning employee's posture is consistent with the office posture, it means that the employee needs to operate the computer. Therefore, the power of the monitor at the workstation corresponding to the current workstation number should be turned on for the employee's use.

[0072] It also includes the following steps: S70: Collects corridor image information.

[0073] Corridor image information refers to real-time image data containing the activities of people in the corridor, captured by image acquisition equipment installed in the corridors of office buildings.

[0074] S71: Based on the corridor image information and preset human characteristics, the current location and walking direction of the person are known.

[0075] The current location of a person refers to their specific position within the corridor. A person's current location can be determined by identifying their position based on facial features in corridor images. The technique for identifying person locations from images is common knowledge in this field and will not be elaborated upon here.

[0076] The direction of movement of people refers to their movement trend. The direction of movement can be determined by identifying dynamic changes in human features within corridor images. Dynamic change recognition technology is common knowledge in this field and will not be elaborated upon here.

[0077] S72: Responding to the direction of the person's walking and the preset corridor terrain to generate a lighting route.

[0078] The lighting route refers to the corridor path where the lights need to be turned on in advance.

[0079] The corridor topography refers to the structural layout of the corridors in the office building. The corridor topography is recorded in advance by those skilled in the art and will not be described in detail here.

[0080] By predicting the direction of people's movement and combining it with the layout of the corridor, the corridor path that people will be walking on is planned. This path is the route where the lights need to be turned on in advance, thus obtaining the lighting route.

[0081] For example, if a person is moving towards the stairwell on the east side of the corridor, the system will predict their path from their current location to the stairwell based on the path layout on the east side of the corridor. This path is the route where the lights need to be turned on in advance. This ensures that the lights ahead of the person are turned on in advance, meeting lighting needs while avoiding energy waste caused by keeping all the lights in the corridor on all the time, thus achieving the goal of energy saving and consumption reduction in virtual energy storage optimization.

[0082] S73: Combine the current position of the person with the preset light position to output the distance of the person to the light.

[0083] The location of the lights refers to the installation position of all lighting fixtures in the corridor. The location of the lights is predetermined by those skilled in the art and will not be elaborated here.

[0084] Personnel-light distance refers to the distance between a person's current position and the positions of each light. This distance can be calculated using a formula, which is common knowledge in this field and will not be elaborated upon here.

[0085] S74: Match the light intensity according to the distance between the personnel and the light.

[0086] Light intensity refers to the brightness of light emitted by a lamp. A preset distance intensity lookup table can be used to find the light intensity corresponding to the distance between people and the lamp. This table records the different light intensities corresponding to different distances between people and the lamp. The reference content in the distance intensity lookup table was formed by those skilled in the art by recording the different light intensities corresponding to different distances between people and the lamp in turn, which will not be elaborated here.

[0087] The closer the distance, the lower the brightness; the farther the distance, the higher the brightness, in order to achieve a balance between energy saving and lighting needs.

[0088] S75: Control the lighting fixture to turn the lights on and off based on the lighting route and the light intensity.

[0089] Based on the lighting route and light intensity, the control system sends control commands to the corresponding lighting fixtures to turn the lights on and off.

[0090] It also includes the following steps: S80: Acquires elevator image information.

[0091] Elevator image information refers to real-time images of the elevator's interior environment captured by cameras installed inside the elevator car.

[0092] S81: When the elevator image information contains the features of the person, the floor is identified from the preset floor button positions in the elevator image information to know the floor reached and the number of floors reached.

[0093] The location of the floor buttons refers to the location of the control panel inside the elevator. The location of the floor buttons is predetermined by those skilled in the art and will not be elaborated upon here.

[0094] The floor reached refers to the floor number corresponding to the target floor button pressed by the passenger, identified from the elevator image information. The number of floors reached refers to the total number of different floor buttons pressed by passengers inside the elevator.

[0095] By identifying the floor positions of the floor buttons in the elevator image information (when the floor to be reached is determined, the button corresponding to the floor will emit a specific light, and the floor to be reached can be known through photosensitive recognition), the specific floor pressed by the passenger can be known, and the floor to be reached can be obtained. Then, by counting the number of specific floors pressed by the passenger, the number of floors to be reached can be obtained.

[0096] When the elevator image information contains human features, it means there are people in the elevator. It is necessary to first identify the floor reached and the number of floors reached for subsequent steps.

[0097] In this embodiment, there is only one person in the elevator.

[0098] S82: When the number of floors reached is 1, turn on the floor lights of the reached floor.

[0099] When the number of floors reached is 1, it means that the passenger has identified the floor they are going to, and the floor lights for that floor need to be turned on.

[0100] S83: When the number of floors reached is greater than 1, the elevator entrance light number is matched in response to the number of floors reached.

[0101] Elevator entrance light number refers to the number of the lighting fixture at the elevator entrance on each floor. A pre-set floor light fixture reference table can be used to look up the elevator entrance light number corresponding to the arriving floor. This table records the different elevator entrance light numbers corresponding to different arriving floors. The reference content in the floor light fixture reference table is formed by those skilled in the art through sequential recording of the different elevator entrance light numbers corresponding to different arriving floors, and will not be elaborated upon here.

[0102] When the number of floors reached is greater than 1, it means that the passenger has pressed multiple floors. Considering the possibility of pressing the wrong floor, the elevator entrance light number needs to be matched first for subsequent steps.

[0103] S84: Control the elevator entrance light corresponding to the elevator entrance light number to pre-turn on, and collect the elevator entrance image.

[0104] Elevator entrance images refer to real-time image data of the elevator door area captured by cameras installed at elevator entrances on each floor, used to determine whether a person has arrived at that floor.

[0105] The elevator entrance light corresponding to the elevator entrance light number is pre-activated with a preset low light intensity. This provides basic lighting to assist image acquisition, avoids energy waste caused by strong light, and simultaneously acquires images of the elevator entrance for subsequent steps.

[0106] The intensity of the faint light is preset by those skilled in the art and will not be elaborated here.

[0107] S85: When the elevator entrance image contains the features of the person, output the current floor reached, and turn on the floor lights based on the current floor reached, while turning off the other elevator entrance lights.

[0108] The currently arrived floor refers to the floor number where the elevator has actually arrived and the doors have opened, and the person has been confirmed to have exited the elevator through the elevator entrance image.

[0109] When the elevator entrance image contains human features, it indicates that the person has exited the elevator. The system needs to define the floor the person exited as the current arrival floor and output it, while turning on the floor light of the current arrival floor and turning off the elevator entrance lights of the other floors.

[0110] It also includes the following steps: S860: When the floor to be reached is a preset parking floor, the person's characteristics are identified from the elevator image information to obtain the identity of the elevator passenger.

[0111] A parking floor refers to a floor in an office building designated for parking. Parking floors are predetermined by those skilled in the art and will not be elaborated upon here.

[0112] Elevator passenger identification refers to the passenger identification information obtained by facial recognition of human features in elevator image information. Facial recognition technology is common knowledge in this field and will not be elaborated upon here.

[0113] When the elevator reaches a parking floor, it means that the person taking the elevator needs to go to their vehicle's parking location. The identity of the person taking the elevator needs to be identified first for subsequent steps.

[0114] S861: In response to the elevator personnel's identity, the vehicle's parking location is known.

[0115] The vehicle parking location refers to the specific location where the vehicle is parked on the parking floor.

[0116] The vehicle parking location corresponding to the elevator passenger identity can be found by using a preset personnel and vehicle lookup table. The table records the different vehicle parking locations corresponding to different elevator passenger identities. The lookup content in the personnel and vehicle lookup table is formed by those skilled in the art by recording the different vehicle parking locations corresponding to different elevator passenger identities in sequence, which will not be elaborated here.

[0117] S862: Collect the current elevator number.

[0118] The current elevator number refers to the elevator's own identification number. This number is obtained by querying the unique identifier embedded within the elevator.

[0119] S863: Know the current elevator position based on the current elevator number.

[0120] The current elevator location refers to the specific location within the building of the elevator occupied by the passenger whose identity corresponds to that of the passenger. A pre-set elevator location lookup table can be used to find the current elevator location corresponding to the current elevator number. This table records different current elevator locations corresponding to different current elevator numbers. The reference information in the elevator location lookup table is generated by those skilled in the art through sequential recording of the different current elevator locations corresponding to different current elevator numbers, and will not be elaborated upon here.

[0121] S864: Combine the vehicle parking location, the current elevator location, and the preset parking floor terrain to generate a light-guided route.

[0122] Parking floor topography refers to the structural layout information of a parking floor, including geographical features such as parking space distribution, passageway orientation, and obstacle locations. The parking floor topography is pre-recorded by those skilled in the art and will not be elaborated upon here.

[0123] A light guide route refers to the optimal path used to guide people from the elevator entrance to their vehicle parking location, and the lights along this path will be lit sequentially.

[0124] By taking the current elevator location as the starting point and the vehicle's parking location as the ending point, and combining geographical feature data such as parking space distribution, passageway orientation, and obstacle locations within the parking floor's terrain, a path planning algorithm analyzes and determines the optimal path that is shortest, smoothest, and avoids obstacles. Simultaneously, the system matches the locations of all lights along this path, connecting these lights in series to form a lighting guidance route, ensuring that people are guided along this route to their vehicle's parking location. The specific implementation of the path planning algorithm is well-known in the field and will not be elaborated upon here.

[0125] S865: Control the corresponding lights to turn on according to the light guidance route, thereby providing light guidance.

[0126] The lights along the designated route are illuminated sequentially to create a clear visual path, helping people quickly find their vehicles from the elevator entrance. At the same time, by controlling the lights on and off as needed, the power efficiency of the parking floors is further optimized, contributing to the virtual energy storage optimization of the microgrid.

[0127] It also includes the following steps: S870: In response to the vehicle parking location and parking floor terrain, match the nearest exit location.

[0128] The nearest exit location refers to the garage exit closest to the vehicle's parking position, calculated based on the parking floor's topography. By understanding the parking floor's topography, the location of each garage exit and the routes from the vehicle's parking position to each exit can be determined. By comparing the distances of each route, the garage exit with the shortest distance is selected as the nearest exit location.

[0129] S871: Combine the vehicle parking location, the nearest exit location, and the parking floor terrain to generate an exit guidance route.

[0130] The exit guidance route refers to the vehicle exit path planned based on the vehicle's parking location and the nearest exit location, taking into account the terrain of the parking floor. The lights along this path will be lit sequentially to guide vehicles to exit efficiently.

[0131] The specific method for generating export guidance routes is the same as that described in S864 above, and will not be repeated here.

[0132] S872: Control the corresponding lights to turn on according to the exit guidance route to provide light guidance, and collect information on vehicle exit.

[0133] Vehicle exit status refers to the real-time status information of a vehicle leaving its parking space and moving to the exit, as monitored by cameras at the garage exit.

[0134] The lights along the exit guidance route illuminate sequentially, creating a clear visual guide path to help people quickly drive out of the garage from their parking positions. Simultaneously, vehicle exit data is collected for subsequent steps.

[0135] S873: When the vehicle departure situation is consistent with the preset completion departure situation, collect the number of vehicles flowing in the parking floor.

[0136] "Completed Exit Status" refers to the status information when the vehicle has completely exited the garage exit. This status is preset by those skilled in the art and will not be elaborated upon here.

[0137] The number of mobile vehicles refers to the total number of vehicles in motion within a parking level. This number is determined through real-time monitoring and statistics of parking space availability and vehicles within the aisles.

[0138] When the vehicle exit status matches the completed exit status, it means that the vehicle has completely left the garage. It is then necessary to collect the number of vehicles moving around on the parking floor for subsequent steps.

[0139] S874: When the number of vehicles in motion is 0, turn off the power to the preset garage exit gate.

[0140] The power supply for garage exit gates refers to the power source that provides electrical support for the gate equipment at the garage exit.

[0141] When the number of moving vehicles is 0, it indicates that there are no vehicles in motion within the parking level; all vehicles have been parked or have completely exited the garage. At this point, shutting off the preset power supply to the garage exit gate stops the gate's standby power consumption, further reducing unnecessary power consumption and achieving efficient energy utilization. This achieves the goal of energy saving and consumption reduction in microgrid virtual energy storage optimization, while also optimizing power resource allocation by cutting off power to idle equipment, thus saving power capacity for the virtual energy storage system, while ensuring garage safety (no vehicle entry or exit required).

[0142] It also includes the following steps: S875: Acquire images of the garage entrance.

[0143] Garage entrance images refer to real-time image data captured by cameras installed at the garage entrance, including the entrance area and vehicles entering.

[0144] S876: When the garage entrance image contains preset vehicle features, perform license plate recognition on the vehicle features from the garage entrance image to know the license plate of the current vehicle.

[0145] Vehicle characteristics refer to the external outline features of various vehicles. Vehicle characteristics are predetermined by those skilled in the art and will not be elaborated upon here.

[0146] The vehicle license plate currently referred to is the license plate number of a vehicle entering the garage, extracted from the garage entrance image using license plate recognition technology. License plate recognition technology is common knowledge in this field and will not be elaborated upon here.

[0147] When vehicle features are visible in the garage entrance image, it indicates that a vehicle needs to enter the garage. The license plate of the current vehicle must be identified first for subsequent steps.

[0148] S877: Determine whether the current vehicle license plate has been entered into the preset license plate registration database.

[0149] A license plate registry is a database used to store the license plate information of vehicles that have pre-granted access to the garage. This database contains license plate information for vehicles belonging to owners, employees, and other regular users. The license plate registry is pre-set by those skilled in the art and will not be elaborated upon here.

[0150] By determining whether the current vehicle's license plate has been added to the license plate registration database, it can be determined whether the vehicle is an authorized vehicle that has obtained prior access to the garage.

[0151] S878: If it falls into the category, the elevator number used by the vehicle owner will be matched based on the current vehicle license plate.

[0152] The elevator number used by the vehicle owner refers to the elevator number that is linked to the registered license plate and is used by the vehicle owner on a daily basis.

[0153] The elevator number used by the owner corresponding to the current vehicle's license plate can be found by using a pre-set license plate elevator reference table. The table records different elevator numbers used by different owners corresponding to different current vehicle license plates. The reference content in the license plate elevator reference table is formed by those skilled in the art by recording the different elevator numbers used by different owners corresponding to different current vehicle license plates in sequence, which will not be elaborated here.

[0154] If the license plate of the current vehicle falls into the license plate registration database, it means that the vehicle is a fixed vehicle authorized to enter the garage (such as a vehicle owned by an owner or employee). The elevator number used by the vehicle owner needs to be matched first for subsequent steps.

[0155] S8780: Based on the elevator number used by the car owner and the preset vehicle parking garage, the best parking location is matched, and the vehicle entrance location is collected.

[0156] A vehicle parking garage is a database that records the real-time status of all parking spaces on a parking floor, used for dynamic allocation of parking spaces. The vehicle parking garage is pre-set by those skilled in the art and will not be elaborated upon here.

[0157] The optimal parking location refers to the best parking spot for the vehicle. By knowing the elevator number used by the car owner, we can determine the location of the elevator the owner frequently uses. By knowing the parking garage where the vehicle is parked, we can determine the available parking spaces. Combining these two factors, we can determine the available parking space closest to the car owner's frequently used elevator, which is the optimal parking location.

[0158] The vehicle entrance position refers to the initial position of a vehicle when it enters the garage. This position is determined by a camera installed at the garage entrance. When a vehicle enters the garage, the camera captures an image of the entrance containing the vehicle. By identifying the vehicle's coordinates within the image, its initial position is determined, thus providing the vehicle entrance position.

[0159] Once the optimal parking location is found, the vehicle entrance location needs to be collected first for subsequent steps.

[0160] S8781: In response to the optimal parking location, the vehicle entrance location, and the parking floor terrain, generate an entry guidance route.

[0161] The parking guidance route refers to the vehicle entry path planned by taking the vehicle entrance location as the starting point and the optimal parking location as the ending point, and taking into account the terrain of the parking floor.

[0162] The method for generating the inbound guidance route is the same as that for S864 above, and will not be repeated here.

[0163] S8782: Control the corresponding lights to turn on according to the warehouse entry guidance route, so as to provide lighting guidance.

[0164] The lights along the designated entry route illuminate sequentially, creating a clear visual guide path to help people quickly drive from the vehicle entrance to the optimal parking position.

[0165] It also includes the following steps: S879: If the license plate of the current vehicle is not in the license plate registration database, then collect the vehicle entrance location.

[0166] If the license plate of the current vehicle is not in the license plate registration database, it means that the vehicle is a temporary vehicle that is not authorized to enter the garage. The vehicle's entrance location needs to be collected first for subsequent steps.

[0167] The definition of "vehicle entrance location" in this step is the same as that in S8780, and the data collection method is also the same, so it will not be described again here.

[0168] S8790: In response to the vehicle entrance location, the preset underground parking elevator location, and the preset vehicle parking garage, know the location of the nearest elevator.

[0169] The location of the underground elevators refers to the specific installation location information of all elevators in the parking floor. The location of the underground elevators is recorded in advance by those skilled in the art and stored in the system, and will not be elaborated here.

[0170] The nearest elevator location refers to the location of the elevator closest to the vehicle entrance. By using the vehicle entrance as a reference point and combining the specific coordinates of each elevator in the underground parking garage, candidate elevator locations that are relatively close are initially screened. Then, the parking space status recorded in the parking garage is considered (such as excluding elevators whose passageways are blocked due to parking space occupancy). Finally, the elevator location that is closest to the vehicle entrance and has smooth passage is determined, which is the nearest elevator location.

[0171] S8791: Combine the vehicle entrance location, the nearest elevator location, and the parking floor terrain to generate the nearest guiding route.

[0172] The nearest guidance route is the optimal path planned based on the vehicle entrance location and the nearest elevator location, taking into account the terrain of the parking floors. It guides drivers and passengers of unregistered vehicles from the entrance to the nearest elevator. The method for generating the nearest guidance route is the same as that described in S864 above, and will not be repeated here.

[0173] S8792: Determine the faint light number based on the nearest guiding route.

[0174] The "weak light number" refers to the number of the surrounding lights on the nearest directional route. These lights do not directly participate in the main route guidance; they only provide basic ambient lighting. By knowing the nearest directional route, the numbers of all lights on that route can be identified. Then, through a pre-set light fixture association database, the corresponding weak light numbers can be matched to the numbers of all lights on the nearest directional route. This database records the numbers of all lights on the nearest directional route and their corresponding surrounding light numbers (i.e., weak light numbers). The light fixture association database is pre-entered by those skilled in the art based on the lighting layout of the parking levels, and will not be elaborated upon here.

[0175] S8793: Control the corresponding light to turn on according to the nearest guidance route to provide light guidance, and at the same time control the light corresponding to the weak light number to light up at a preset brightness value.

[0176] The luminous intensity value refers to the specific parameter used to control the luminous brightness of the lamp corresponding to the weak light number. The luminous intensity value is set in advance by those skilled in the art and will not be elaborated here.

[0177] The system controls the sequential illumination of lights along the nearest directional route to create a clear visual guidance path. Simultaneously, it controls the brightness intensity of lights corresponding to the weaker light numbers. This satisfies the need for clear guidance for temporary vehicle occupants from the entrance to the nearest elevator while providing basic ambient lighting by setting lower brightness values ​​for surrounding lights. This avoids energy waste caused by strong lighting across the entire area, thus ensuring both the accuracy of guidance and environmental safety, while minimizing ineffective energy consumption on parking floors. This achieves the core objectives of microgrid virtual energy storage optimization: on-demand power allocation and improved energy efficiency.

[0178] Based on the same inventive concept, embodiments of the present invention provide a microgrid virtual energy storage optimization operation system for multiple scenarios, comprising: The data acquisition module is used to collect historical electricity consumption information, current time period, office authorization information, workstation image information, indoor image information, regression detection image, corridor image information, elevator image information, elevator entrance image, current elevator number, vehicle exit status, number of mobile vehicles, garage entrance image, and vehicle entrance location. The memory is used to store a program that implements a method for optimizing the operation of virtual energy storage in microgrids for multiple scenarios; The processor is used to load and execute programs stored in memory.

[0179] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0180] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for optimizing the operation of virtual energy storage in microgrids across multiple scenarios, characterized in that, include: Collect historical electricity consumption information and current time period for the preset office area; In response to the historical electricity consumption information, electricity consumption data for a specific time period is retrieved; Combine the electricity consumption data for the specified time period with the current time period to generate the current electricity demand; Energy control parameters are generated based on the current electricity demand. In response to the energy control parameters, a preset power control system is controlled to perform power control, thereby performing virtual energy storage.

2. The method for optimizing the operation of virtual energy storage in microgrids for multiple scenarios according to claim 1, characterized in that, Also includes: Collect office authorization information; When the office authorization information matches the preset authorization information, collect the workstation image information of the preset workstation location; Based on the workstation image information, determine whether there are office workers at the workstation location; If it does not exist, the preset workstation number is scanned and identified from the workstation image information to obtain the current workstation number; Based on the current workstation number, the personnel at the current workstation are identified, and indoor image information is collected. When the indoor image information does not include the person at the current workstation, turn off the power to the display of the workstation corresponding to the current workstation number.

3. The method for optimizing the operation of virtual energy storage in microgrids for multiple scenarios according to claim 2, characterized in that, Also includes: Acquire regression detection images; The presence of office workers at the workstation location is determined based on the regression detection image. When present, personnel identification is performed on office workers from the regression detection image to determine the personnel at the regression workstation; When the returning worker is the same as the current worker, turn on the power of the display at the workstation corresponding to the current workstation number. When the returning workstation personnel is inconsistent with the current workstation personnel, the posture of the returning workstation personnel is obtained from the regression detection image; The power supply to the display of the workstation corresponding to the current workstation number shall be turned on only if the returning personnel's posture is consistent with the preset office posture.

4. The method for optimizing the operation of virtual energy storage in microgrids for multiple scenarios according to claim 2, characterized in that, Also includes: Collect corridor image information; Based on the corridor image information and preset human characteristics, the current location and walking direction of the person can be determined; The system generates a lighting route in response to the direction of pedestrian movement and the preset corridor terrain. The distance to the personnel's light is output by combining the personnel's current position and the preset light position; The light intensity is matched based on the distance between the person and the light source; The lighting fixtures are controlled to turn on and off based on the lighting route and the light intensity.

5. The method for optimizing the operation of virtual energy storage in microgrids for multiple scenarios according to claim 4, characterized in that, Also includes: Acquire elevator image information; When the elevator image information contains the features of the person, the floor is identified from the preset floor button positions in the elevator image information to know the floor reached and the number of floors reached. When the number of floors reached is 1, turn on the floor lights of the reached floor; When the number of floors reached is greater than 1, the elevator entrance light number is matched in response to the number of floors reached. Control the elevator entrance light corresponding to the elevator entrance light number to turn on in advance, and capture the elevator entrance image; When the elevator entrance image contains the person's features, the current floor is output, and the floor lights are turned on based on the current floor, while the other elevator entrance lights are turned off.

6. The method for optimizing the operation of virtual energy storage in microgrids for multiple scenarios according to claim 5, characterized in that, Also includes: When the floor reached is a preset parking floor, the person's features are identified from the elevator image information to determine the identity of the elevator passenger. The vehicle's parking location is determined in response to the identity of the elevator personnel. Collect the current elevator number; The current elevator position is known based on the current elevator number; The system combines the vehicle's parking location, the current elevator location, and the preset parking floor terrain to generate a light-guided route. The corresponding lights are turned on according to the light guidance route to provide light guidance.

7. The method for optimizing the operation of virtual energy storage in microgrids for multiple scenarios according to claim 6, characterized in that, Also includes: In response to the vehicle parking location and parking floor terrain, the nearest exit location is matched; The exit guidance route is generated by combining the vehicle parking location, the nearest exit location, and the terrain of the parking floor. Based on the exit guidance route, control the corresponding lights to turn on for lighting guidance, and collect information on vehicle exits. When the vehicle departure situation matches the preset completion departure situation, the number of vehicles moving on the parking floor is collected. When the number of vehicles in transit is 0, the power supply to the preset garage exit gate is turned off.

8. The method for optimizing the operation of virtual energy storage in microgrids for multiple scenarios according to claim 7, characterized in that, Also includes: Capture images of the garage entrance; When the garage entrance image contains preset vehicle features, license plate recognition is performed on the vehicle features from the garage entrance image to determine the license plate of the current vehicle; Determine whether the current vehicle's license plate has been entered into a preset license plate registration database; If it falls into the category, the elevator number used by the vehicle owner will be matched based on the current vehicle license plate. The optimal parking location is matched based on the elevator number used by the car owner and the preset parking garage, and the vehicle entrance location is collected. The system generates an entry guidance route in response to the optimal parking location, the vehicle entrance location, and the parking floor topography. The corresponding lights are turned on according to the inbound guidance route to provide lighting guidance.

9. A method for optimizing the operation of virtual energy storage in microgrids for multiple scenarios, as described in claim 8, is characterized in that, Also includes: If the license plate of the current vehicle is not in the license plate registration database, then the vehicle entrance location is collected; The system responds to the vehicle entrance location, the preset underground elevator location, and the preset vehicle parking garage to determine the location of the nearest elevator. The nearest directional route is generated by combining the vehicle entrance location, the nearest elevator location, and the parking floor terrain. The faint light number is determined based on the nearest guiding route; Based on the nearest guiding route, the corresponding light is turned on to provide lighting guidance, while the light corresponding to the weak light number is turned on at a preset brightness value.

10. A microgrid virtual energy storage optimized operation system for multiple scenarios, characterized in that, include: The data acquisition module is used to collect historical electricity consumption information and the current time period. A memory for storing a program that implements a microgrid virtual energy storage optimization operation method for multiple scenarios as described in any one of claims 1 to 9; The processor is used to load and execute programs stored in memory.

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