Power supply scheduling method, device and equipment based on photovoltaic energy storage and medium

Abstract

The invention discloses a power supply scheduling method, device and equipment based on photovoltaic energy storage and a medium, and the method comprises the steps: generating an initial scheduling strategy according to an input initial scheduling parameter and electricity charge time period information, sending the initial scheduling strategy to operation and maintenance monitoring equipment, receiving the operation and maintenance monitoring information of the operation and maintenance monitoring equipment, carrying out the statistics, and carrying out the threshold reaching judgment, and judging whether the obtained threshold reaching judgment information meets a parameter adjustment condition or not, if so, performing threshold adjustment on a group of initial scheduling strategies corresponding to the threshold reaching judgment information to obtain an adjusted target scheduling strategy, and sending the adjusted target scheduling strategy to corresponding operation and maintenance monitoring equipment. According to the method, statistical analysis can be performed on the operation and maintenance monitoring information of each charging station, and the corresponding group of initial scheduling strategies are adjusted when the parameter adjustment conditions are met, so that the scheduling strategies of each charging station are flexibly adjusted, the power supply scheduling strategies are matched with the utilization rates of the charging stations, and the power supply scheduling efficiency is improved. And the optimal power utilization cost of each charging station is achieved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a power supply scheduling method, device, equipment and medium based on photovoltaic energy storage. Background Art

[0002] With the rapid development of charging technology, the energy storage batteries configured in electric vehicle charging stations are used in combination with photovoltaic panels to adapt to the changes in peak and valley electricity prices at different time periods, so as to optimize the cost of electricity. However, in the existing technical methods, the corresponding scheduling strategy is usually only set according to the time period of peak and valley electricity to obtain the power generated by photovoltaic panels and use it in combination with energy storage batteries. However, there are differences in the utilization rates of charging stations at different locations and different time periods in the prior art, resulting in the inability of the scheduling strategy in the prior art to flexibly adapt to the utilization rate of each charging station, resulting in the electricity cost of the charging station being not optimal. Therefore, the power supply scheduling strategy used for charging stations in the prior art method has the problem of poor flexibility. Summary of the invention

[0003] The embodiments of the present invention provide a method, device, equipment and medium for power supply scheduling based on photovoltaic energy storage, aiming to solve the problem of poor flexibility of power supply scheduling strategies for charging stations in the prior art methods.

[0004] In a first aspect, an embodiment of the present invention provides a power supply scheduling method based on photovoltaic energy storage, which is applied to a scheduling controller, wherein the scheduling controller establishes a network connection with an operation and maintenance monitoring device of each charging station to realize data information transmission; the operation and maintenance monitoring device is electrically connected to a photovoltaic panel, an energy storage battery and a charging pile, and the method comprises: If the initial scheduling parameters input by the user are received, a corresponding initial scheduling strategy is generated according to the initial scheduling parameters and the electricity fee period information and sent to each of the operation and maintenance monitoring devices, so that the operation and maintenance monitoring device performs power supply scheduling according to the initial scheduling strategy; the operation and maintenance monitoring device includes real-time collected power information of the energy storage battery; Collecting statistics on the operation and maintenance monitoring information fed back by each of the operation and maintenance monitoring devices to obtain operation and maintenance statistical information corresponding to each of the operation and maintenance monitoring devices; According to the initial scheduling strategy, threshold reaching judgment is performed on each of the operation and maintenance statistical information to obtain corresponding threshold reaching judgment information; Determine whether the threshold reaching determination information of each of the operation and maintenance statistical information meets the preset parameter adjustment conditions; If the parameter adjustment condition is met, a threshold adjustment is performed on a set of initial scheduling strategies corresponding to the threshold reaching judgment information according to a preset data adjustment model to obtain an adjusted target scheduling strategy; The adjusted target scheduling strategy is sent to the corresponding operation and maintenance monitoring device.

[0005] In a second aspect, an embodiment of the present invention further provides a power supply scheduling device based on photovoltaic energy storage, wherein the device is configured in a scheduling controller, and the scheduling controller establishes a network connection with the operation and maintenance monitoring equipment of each charging station to realize data information transmission; the operation and maintenance monitoring equipment is electrically connected to the photovoltaic panel, the energy storage battery and the charging pile, wherein the device is used to execute the power supply scheduling method based on photovoltaic energy storage as described in the first aspect above, and the device includes: An initial scheduling strategy sending unit is used to generate a corresponding initial scheduling strategy according to the initial scheduling parameters and electricity fee period information upon receiving the initial scheduling parameters input by the user, and send the strategy to each of the operation and maintenance monitoring devices, so that the operation and maintenance monitoring device performs power supply scheduling according to the initial scheduling strategy; the operation and maintenance monitoring device includes the power information of the energy storage battery collected in real time; An operation and maintenance statistical information acquisition unit, used to collect statistics on the operation and maintenance monitoring information fed back by each of the operation and maintenance monitoring devices, and obtain operation and maintenance statistical information corresponding to each of the operation and maintenance monitoring devices; A judgment information acquisition unit, used to perform threshold reaching judgment on each of the operation and maintenance statistical information according to the initial scheduling strategy, and obtain corresponding threshold reaching judgment information; A parameter adjustment judgment unit, used to judge whether the threshold reaching judgment information of each of the operation and maintenance statistical information meets the preset parameter adjustment conditions; A threshold adjustment unit, configured to adjust a set of initial scheduling strategies corresponding to the threshold reaching judgment information according to a preset data adjustment model if a parameter adjustment condition is met, to obtain an adjusted target scheduling strategy; The target scheduling strategy sending unit is used to send the adjusted target scheduling strategy to the corresponding operation and maintenance monitoring device.

[0006] In a third aspect, an embodiment of the present invention further provides a computer device, wherein the device includes a processor, a network interface, a memory, and a communication bus, wherein the processor, the network interface, and the memory communicate with each other via the communication bus; Memory, used to store computer programs; The processor is used to implement the steps of the power supply scheduling method based on photovoltaic energy storage described in the first aspect when executing the program stored in the memory.

[0007] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of the power supply scheduling method based on photovoltaic energy storage as described in the first aspect above are implemented.

[0008] The embodiment of the present invention provides a power supply scheduling method, device, equipment and medium based on photovoltaic energy storage, the method includes: generating an initial scheduling strategy based on the input initial scheduling parameters and electricity fee period information and sending it to each operation and maintenance monitoring device, receiving the operation and maintenance monitoring information of each operation and maintenance monitoring device for statistics and threshold touch judgment, judging whether the obtained threshold touch judgment information meets the parameter adjustment conditions, if so, adjusting the threshold of a group of initial scheduling strategies corresponding to the threshold touch judgment information, obtaining the adjusted target scheduling strategy and sending it to the corresponding operation and maintenance monitoring device. The above method can perform statistical analysis on the operation and maintenance monitoring information of each charging station, and adjust the corresponding group of initial scheduling strategies when the parameter adjustment conditions are met, so as to realize flexible adjustment of the scheduling strategy of each charging station, so that the power supply scheduling strategy matches the utilization rate of the charging station, and each charging station achieves the optimal electricity cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0010] Figure 1 A method flow chart of a power supply scheduling method based on photovoltaic energy storage provided by an embodiment of the present invention; Figure 2 A schematic diagram of an application scenario of a power supply scheduling method based on photovoltaic energy storage provided in an embodiment of the present invention; Figure 3 A schematic diagram of the application process of the photovoltaic energy storage-based power supply scheduling method provided in an embodiment of the present invention; Figure 4 A schematic block diagram of a power supply scheduling device based on photovoltaic energy storage provided by an embodiment of the present invention; Figure 5 It is a schematic block diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0011] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0012] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0013] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0014] It should be further understood that the term "and / or" used in the present description and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0015] See also Figure 1 As shown in the figure, the embodiment of the present invention provides a power supply scheduling method based on photovoltaic energy storage, which is applied to the scheduling controller and executed by the application software installed in the scheduling controller. Specific application scenarios are as follows Figure 2 As shown, the dispatch controller 10 establishes a network connection with the operation and maintenance monitoring equipment 20 of each charging station to realize data information transmission; each charging station is also equipped with a data collector 21, a photovoltaic panel 22, an energy storage battery 23, a charging pile 24 and a charging pile cloud data platform device 25; the operation and maintenance monitoring equipment 20 is electrically connected to the data collector 21, photovoltaic panel 22, energy storage battery 23 and charging pile cloud data platform device 25 configured in the same charging station, and the charging pile cloud data platform device 25 is electrically connected to each charging pile 24. The dispatch controller 10 can be a terminal device or management server configured in an enterprise or institution for remote control of multiple charging stations. The data collector 21 is electrically connected to the photovoltaic panel 22 and the energy storage battery 23 at the same time. The data collector 21 can collect monitoring information of the photovoltaic panel 22 and the energy storage battery 23, and send the collected operation and maintenance monitoring information to the dispatch controller 10 via the operation and maintenance monitoring device 20; the operation and maintenance monitoring device 20 can send instructions to the charging pile 24 through the charging pile cloud data platform device 25, and the operation and maintenance monitoring device 20 can also obtain data information uploaded by the charging pile 24 from the charging pile cloud data platform device 25. The specific embodiment of the present application focuses on describing the application process of the dispatch controller 10 controlling the operation and maintenance monitoring device 20 of a charging station, and the application process of simultaneously controlling the operation and maintenance monitoring devices 20 of multiple charging stations through the dispatch controller can be deduced by analogy. Figure 1 As shown, the method includes steps S110 to S160.

[0016] S110. If the initial scheduling parameters input by the user are received, a corresponding initial scheduling strategy is generated according to the initial scheduling parameters and the electricity fee period information and sent to each of the operation and maintenance monitoring devices, so that the operation and maintenance monitoring device performs power supply scheduling according to the initial scheduling strategy.

[0017] The user can input the initial scheduling parameters into the scheduling controller, and the user who inputs the initial scheduling parameters can be the manager who performs power supply scheduling management. Furthermore, the corresponding initial scheduling strategy can be generated according to the initial scheduling parameters and the electricity fee period information, and the obtained initial scheduling strategy can be sent to each operation and maintenance monitoring device respectively, and each operation and maintenance monitoring device can configure the received initial scheduling strategy and perform power supply scheduling based on the configured initial scheduling strategy. Among them, the operation and maintenance monitoring device includes the power information of the energy storage battery collected in real time.

[0018] The electricity fee time period information is information used to reflect the electricity fees for each time period. The electricity fee time period information includes multiple time periods, and each time period corresponds to an electricity fee pricing ladder. The electricity fee time period information in different provinces / regions may be different. For example, in the electricity charge time period information of a certain province (region), 00:01 to 8:00 is "valley", 08:01 to 10:00 is "flat", 10:01 to 11:00 is "peak", 11:01 to 12:00 is "peak", 12:01 to 14:00 is "flat", 14:01 to 15:00 is "peak", 15:01 to 17:00 is "peak", 17:01 to 19:00 is "peak", and 19:01 to 24:00 is "flat"; then in the above electricity charge time period information, "valley" corresponds to the lowest electricity charge pricing tier, "peak" corresponds to the highest electricity charge pricing tier, and "peak" corresponds to the second highest electricity charge pricing tier.

[0019] The initial scheduling strategy is the strategy information used to schedule the charging and discharging of energy storage batteries and the use of photovoltaic panels for power generation output. The initial scheduling strategy is universal for each charging station, that is, each charging station uses the same initial scheduling strategy. The initial scheduling strategy includes the scheduling direction and limit threshold corresponding to each time period. If the power of the energy storage battery does not reach the limit threshold of the corresponding time period, the energy storage battery and photovoltaic panel are scheduled and controlled according to the scheduling direction of the time period; if the power of the energy storage battery reaches the limit threshold of the corresponding time period, the scheduling control of the energy storage battery and photovoltaic panel according to the scheduling direction is terminated, and the charging or discharging of the energy storage battery is stopped at the same time.

[0020] In a specific embodiment, step S110 includes sub-steps: setting a corresponding limited threshold for each time period in the electricity fee time period information according to the threshold information set in the initial scheduling parameters; setting a corresponding scheduling direction for each time period in the electricity fee time period information according to the charging and discharging rules in the initial scheduling parameters to obtain a corresponding initial scheduling strategy.

[0021] The initial scheduling parameters include threshold information and charging and discharging rules. Specifically, the corresponding limited threshold can be set for each time period in the electricity fee time period information according to the threshold information set in the initial scheduling parameters. For example, the limited threshold set for time period 1 (00:01 to 8:00) is [0, 60%]. The scheduling direction of each time period is further set according to the charging and discharging rules in the initial scheduling parameters. For example, the scheduling direction of time period 1 can be set to charge the energy storage battery through the mains, and the scheduling direction of time period 2 (08:01 to 10:00) can be set to charge the energy storage battery through both the mains and photovoltaic power generation. After configuring the limited threshold and scheduling direction for each time period, a set of initial scheduling strategies can be obtained.

[0022] S120: Collect statistics on the operation and maintenance monitoring information fed back by each of the operation and maintenance monitoring devices to obtain operation and maintenance statistical information corresponding to each of the operation and maintenance monitoring devices.

[0023] The operation and maintenance monitoring information fed back by each of the operation and maintenance monitoring devices is counted to obtain the operation and maintenance statistical information corresponding to each of the operation and maintenance monitoring devices. The operation and maintenance monitoring devices can regularly feed back the operation and maintenance monitoring information to the scheduling controller. After the scheduling controller receives the operation and maintenance monitoring information fed back by the operation and maintenance monitoring devices, it can count the operation and maintenance monitoring information. The operation and maintenance monitoring information of each operation and maintenance monitoring device is counted separately to obtain the operation and maintenance statistical information corresponding to each operation and maintenance monitoring device.

[0024] In a specific embodiment, step S120 includes a sub-step of performing time-division statistics on the power information according to the collection time of the power information in the operation and maintenance monitoring information, and obtaining multiple groups of single-day statistical information as corresponding operation and maintenance statistical information.

[0025] The power information is the information obtained from the real-time detection of the remaining power of the energy storage battery. Each set of power information corresponds to a collection time. For example, the power information of the energy storage battery can be collected every 2 minutes. The collection time interval between two adjacent sets of power information is 2 minutes. Specifically, the power information can be statistically analyzed in different time periods according to the collection time of the power information in the operation and maintenance monitoring information. The power information of different dates can be distinguished according to the collection time to obtain the daily statistical information corresponding to each date. The power information in each daily statistical information is sorted according to the order of the collection time. The multiple sets of daily statistical information obtained can be used as operation and maintenance statistical information. Draw a corresponding curve graph for a set of daily statistical information obtained by statistics, as shown in the figure: Figure 3 shown.

[0026] In order to make the obtained operation and maintenance statistical information correspond to the latest usage of the charging station, the daily statistical information of the latest period of time can be intercepted as the operation and maintenance statistical information. For example, 30 groups of daily statistical information in the last 30 days can be intercepted as the operation and maintenance statistical information.

[0027] Furthermore, after performing time-sharing statistics on the power information according to the collection time of the power information in the operation and maintenance monitoring information to obtain multiple groups of single-day statistical information as corresponding operation and maintenance statistical information, it also includes: judging whether there are abnormal values ​​in each group of the single-day statistical information according to a preset abnormal value detection rule; if there are abnormal values ​​in the single-day statistical information, the single-day statistical information with the abnormal values ​​will be deleted from the operation and maintenance statistical information.

[0028] Specifically, after obtaining the operation and maintenance statistical information, it is also possible to determine whether there are abnormal values ​​in each single-day statistical information according to the abnormal value detection rules. For example, based on the maximum discharge rate and the maximum charging rate in the abnormal value detection rules, it is determined whether the slope between two pieces of power information in adjacent single-day statistical information does not exceed the slope corresponding to the maximum discharge rate and does not exceed the slope corresponding to the maximum charging rate; if the slope between the two pieces of power information exceeds the slope corresponding to the maximum discharge rate or exceeds the slope corresponding to the maximum charging rate, it is determined that there are abnormal values ​​in the single-day statistical information; in addition, it is also possible to determine whether there are vacant values ​​in the single-day statistical information to determine whether there are abnormal values ​​in the single-day statistical information. If it is determined that there are abnormal values ​​in a single-day statistical information, the single-day statistical information is deleted from the operation and maintenance statistical information.

[0029] S130. Perform threshold reaching judgment on each of the operation and maintenance statistical information according to the initial scheduling strategy to obtain corresponding threshold reaching judgment information.

[0030] According to the initial scheduling strategy, the threshold reaching judgment is performed on each of the operation and maintenance statistical information to obtain the corresponding threshold reaching judgment information. According to the initial scheduling strategy, the threshold reaching judgment can be performed on the operation and maintenance statistical information of each charging station, that is, whether the power information at each time point in the operation and maintenance statistical information reaches the corresponding threshold.

[0031] In a specific embodiment, step S130 includes sub-steps: obtaining a judgment threshold corresponding to the scheduling direction of the time period from the limited thresholds of each time period in the initial scheduling strategy; judging whether the power information of each time period in the operation and maintenance statistical information coincides with the corresponding judgment threshold, and obtaining a corresponding coincidence judgment result; and obtaining a touch time point at which the power information coincides with the corresponding judgment threshold according to the coincidence judgment result as the threshold touch judgment information corresponding to the operation and maintenance statistical information.

[0032] One or two of the limit thresholds in each time period in the initial scheduling strategy can be obtained as the judgment threshold. Specifically, the corresponding judgment threshold can be determined by the scheduling direction of the time period. For example, if the scheduling direction is that the energy storage battery is charged by the mains, then the upper limit threshold of the time period is determined as the judgment threshold, and the scheduling direction is not to restrict the charging and discharging of the energy storage battery; then the upper limit threshold and the lower limit threshold of the time period are determined to be the judgment threshold.

[0033] It is further determined whether the power information of each time period in the operation and maintenance statistical information coincides with the corresponding judgment threshold, thereby obtaining a coincidence judgment result. According to the above coincidence judgment result, the touch time point at which the power information coincides with the corresponding judgment threshold is obtained as the corresponding threshold touch judgment information; each group of operation and maintenance statistical information can be judged in turn by the above method, and each operation and maintenance statistical information can correspond to a set of threshold touch judgment information.

[0034] S140: Determine whether the threshold reaching determination information of each of the operation and maintenance statistical information satisfies a preset parameter adjustment condition.

[0035] Determine whether the threshold-reaching judgment information of each of the operation and maintenance statistical information meets the preset parameter adjustment conditions. Further, determine whether the threshold-reaching judgment information of each group of operation and maintenance statistical information obtained meets the parameter adjustment conditions. If the parameter adjustment conditions are met, it is necessary to perform a threshold adjustment on the initial scheduling strategy corresponding to the operation and maintenance statistical information; if the parameter adjustment conditions are not met, it is not necessary to perform a threshold adjustment on the initial scheduling strategy corresponding to the operation and maintenance statistical information.

[0036] In a specific embodiment, step S140 includes sub-steps: obtaining the effective touch time points located in the second half of the corresponding time period according to the touch time points in the threshold touch judgment information; counting the effective touch time points of each single-day statistical information in the operation and maintenance statistical information in each time period to obtain the corresponding time point statistical information; judging whether the touch ratio of the single-day statistical information in the time point statistical information in each time period exceeds the ratio range of the corresponding time period in the parameter adjustment condition; judging whether the excess probability of exceeding the ratio range in each time period is greater than the probability threshold of the corresponding time period in the parameter adjustment condition; if the excess probability of any time period in the operation and maintenance statistical information is greater than the corresponding probability threshold, it is determined that the threshold touch judgment information of the operation and maintenance statistical information meets the parameter adjustment condition; if the excess probability of each time period in the operation and maintenance statistical information is not greater than the corresponding probability threshold, it is determined that the threshold touch judgment information of the operation and maintenance statistical information does not meet the parameter adjustment condition.

[0037] It can be determined whether each touch time point in the threshold touch judgment information is in the second half of the period. If it is in the second half of the period, the touch time point is determined to be a valid touch time point. The effective touch time points of each single-day statistical information in each period in the operation and maintenance statistical information are counted to obtain time point statistical information. The time point statistical information includes a number value corresponding to the single-day statistical information in each period.

[0038] Furthermore, the reach ratio of the single-day statistical information in each time period is obtained. For example, a single-day statistical information has a total of 240 power information in time period 1 (00:01 to 8:00), of which 32 are valid reach time points. The reach ratio of the single-day statistical information in time period 1 is 32 / 240=13.3%. It is determined whether the reach ratio exceeds the ratio range of the corresponding time period, for example, the ratio range is [0.1%, 10%]; if the reach ratio is less than 0.1%, it is determined to exceed the ratio range, and if the reach ratio is greater than 10%, it is also determined to exceed the ratio range. Further, the probability of the operation and maintenance statistical information exceeding the ratio range is counted. If the number of times that the 30 single-day statistical information in the operation and maintenance statistical information exceeds the maximum value in the ratio range in time period 1 is 13 times, then the probability of the operation and maintenance statistical information exceeding the maximum value in the ratio range in time period 1 is 43.3%; it is determined whether the probability of exceeding the ratio range is greater than the probability threshold of the corresponding time period.

[0039] If the probability threshold of exceeding the maximum value in the proportion range in time period 1 set by the parameter adjustment condition is 40%, it can be determined that the probability of exceeding the operation and maintenance statistical information in time period 1 is greater than the corresponding probability threshold, that is, it is determined that the threshold-reaching judgment information of the operation and maintenance statistical information meets the parameter adjustment condition. If the probability of exceeding a certain time period in a set of operation and maintenance statistical information is greater than the corresponding probability threshold, it can be determined that the operation and maintenance statistical information meets the parameter adjustment condition; if the probability of exceeding each time period in the operation and maintenance statistical information is not greater than the corresponding probability threshold, it is determined that the operation and maintenance statistical information does not meet the parameter adjustment condition.

[0040] S150: If the parameter adjustment conditions are met, a threshold adjustment is performed on a set of initial scheduling strategies corresponding to the threshold reaching judgment information according to a preset data adjustment model to obtain an adjusted target scheduling strategy.

[0041] If the parameter adjustment conditions are met, the threshold adjustment can be performed on a set of initial scheduling strategies corresponding to the threshold reaching judgment information according to the data adjustment model, that is, the initial limit threshold set in the initial scheduling strategy is adjusted. By adjusting the threshold, the adjusted target scheduling strategy can be obtained. If the parameter adjustment conditions are not met, there is no need to adjust the threshold of the corresponding initial scheduling strategy.

[0042] In a specific embodiment, step S150 includes sub-steps: performing a numerical analysis on the excess probability corresponding to the time period that meets the parameter adjustment conditions in the threshold reach judgment information according to the data adjustment model to determine the corresponding adjustment range; adjusting the limited threshold corresponding to the time period of the adjustment range in the initial scheduling strategy according to the adjustment range to obtain the adjusted target scheduling strategy.

[0043] Specifically, the probability of exceeding the time period that meets the parameter adjustment conditions can be numerically analyzed according to the data adjustment model. First, the direction in which the time period that meets the parameter adjustment conditions exceeds the proportion range can be determined. If the proportion range is exceeded upward (the probability of exceeding the maximum value in the proportion range is counted), the corresponding adjustment direction is positive adjustment, and the adjustment symbol is "+"; if the proportion range is exceeded downward (the probability of exceeding the minimum value in the proportion range is counted), the corresponding adjustment direction is reverse adjustment, and the adjustment symbol is "-". Determine the adjustment gear position where the probability of exceeding the data adjustment model is located. For example, the data adjustment model has three adjustment gear positions for time period 1, and each adjustment gear position corresponds to a power adjustment percentage and a gear range. The power adjustment range corresponding to the first adjustment gear position is 10%, and the gear range is [40%, 55%), the power adjustment range of the second adjustment gear position is 20%, and the gear range is [55%, 70%), and the power adjustment range of the third adjustment gear position is 30%, and the gear range is [70%, 90%), where "[" and "]" include boundary values, and "(" and ")" do not include boundary values. If the probability of exceeding a certain threshold value in the judgment information corresponding to time period 1 is 43.3%, the corresponding adjustment gear is determined to be the first adjustment gear, and the corresponding power adjustment range is 10%. The corresponding adjustment range can be obtained by combining the adjustment symbol and the power adjustment range.

[0044] According to the adjustment range, the limit threshold of the corresponding time period in the initial scheduling strategy is adjusted to obtain the adjusted target scheduling strategy. If the adjustment range corresponds to the trigger judgment based on the upper limit threshold of the time period, the upper limit threshold is adjusted accordingly; if the adjustment range corresponds to the trigger judgment based on the lower limit threshold of the time period, the lower limit threshold is adjusted accordingly.

[0045] For example, the obtained adjustment range is "+10%", which is obtained by triggering the judgment based on the upper limit threshold of time period 1. Then the upper limit threshold of time period 1, 60%, is adjusted upward by 10%. After the adjustment, the upper limit threshold of time period 1 is 70%, and the lower limit threshold remains unchanged, that is, the limit threshold corresponding to the time period is adjusted. After adjusting the limit threshold of the time period corresponding to each adjustment range in the initial scheduling strategy, a set of adjusted target scheduling strategies are obtained; the adjusted initial scheduling strategy and the obtained target scheduling strategy both correspond to a charging station.

[0046] S160: Send the adjusted target scheduling strategy to the corresponding operation and maintenance monitoring device.

[0047] The adjusted target scheduling strategy is sent to the corresponding operation and maintenance monitoring device. The target scheduling strategy obtained after adjusting the initial scheduling strategy for an operation and maintenance monitoring device is sent to the operation and maintenance monitoring device, and the operation and maintenance monitoring device reconfigures the strategy after receiving the new target scheduling strategy. If the preset feedback time point is reached (for example, one feedback time point is reached every 1 day), the operation and maintenance monitoring device can again feedback the operation and maintenance monitoring information to the scheduling controller, and then return to execute step S120. At this time, the scheduling strategy currently configured by the operation and maintenance monitoring device can be used as the initial scheduling strategy, but it is judged that the parameter adjustment conditions are met and the initial scheduling strategy configured by the operation and maintenance monitoring device can be adjusted again.

[0048] In the power supply scheduling method based on photovoltaic energy storage disclosed in the above embodiment, the method includes: generating an initial scheduling strategy based on the input initial scheduling parameters and electricity fee period information and sending it to each operation and maintenance monitoring device, receiving the operation and maintenance monitoring information of each operation and maintenance monitoring device for statistics and threshold touch judgment, judging whether the obtained threshold touch judgment information meets the parameter adjustment conditions, and if so, adjusting the threshold of a group of initial scheduling strategies corresponding to the threshold touch judgment information, obtaining the adjusted target scheduling strategy and sending it to the corresponding operation and maintenance monitoring device. The above method can perform statistical analysis on the operation and maintenance monitoring information of each charging station, and adjust the corresponding group of initial scheduling strategies when the parameter adjustment conditions are met, so as to realize flexible adjustment of the scheduling strategy of each charging station, so that the power supply scheduling strategy matches the utilization rate of the charging station, and each charging station achieves the optimal electricity cost.

[0049] The embodiment of the present invention also provides a power supply scheduling device based on photovoltaic energy storage, which can be configured in a scheduling controller, and is used to execute any embodiment of the power supply scheduling method based on photovoltaic energy storage. Figure 4 , Figure 4 A schematic block diagram of a power supply scheduling device based on photovoltaic energy storage provided in an embodiment of the present invention.

[0050] like Figure 4 As shown, the power supply scheduling device 100 based on photovoltaic energy storage includes an initial scheduling strategy sending unit 110, an operation and maintenance statistical information acquisition unit 120, a judgment information acquisition unit 130, a parameter adjustment judgment unit 140, a threshold adjustment unit 150 and a target scheduling strategy sending unit 160.

[0051] The initial scheduling strategy sending unit 110 is used to generate a corresponding initial scheduling strategy based on the initial scheduling parameters and electricity fee period information when receiving the initial scheduling parameters input by the user, and send it to each of the operation and maintenance monitoring devices, so that the operation and maintenance monitoring device performs power supply scheduling according to the initial scheduling strategy; the operation and maintenance monitoring device includes real-time collected power information of the energy storage battery.

[0052] The operation and maintenance statistical information acquisition unit 120 is used to collect statistics on the operation and maintenance monitoring information fed back by each of the operation and maintenance monitoring devices to obtain the operation and maintenance statistical information corresponding to each of the operation and maintenance monitoring devices.

[0053] The judgment information acquisition unit 130 is used to perform threshold reaching judgment on each of the operation and maintenance statistical information according to the initial scheduling strategy to obtain corresponding threshold reaching judgment information.

[0054] The parameter adjustment judgment unit 140 is used to judge whether the threshold reaching judgment information of each of the operation and maintenance statistical information meets the preset parameter adjustment conditions.

[0055] The threshold adjustment unit 150 is used to adjust the threshold of a set of initial scheduling strategies corresponding to the threshold reaching judgment information according to a preset data adjustment model if the parameter adjustment condition is met, so as to obtain an adjusted target scheduling strategy.

[0056] The target scheduling strategy sending unit 160 is used to send the adjusted target scheduling strategy to the corresponding operation and maintenance monitoring device.

[0057] The photovoltaic energy storage-based power supply dispatching device provided in the embodiment of the present invention applies the photovoltaic energy storage-based power supply dispatching method, generates an initial dispatching strategy based on the input initial dispatching parameters and electricity fee period information and sends it to each operation and maintenance monitoring device, receives the operation and maintenance monitoring information of each operation and maintenance monitoring device for statistics and threshold touch judgment, judges whether the obtained threshold touch judgment information meets the parameter adjustment conditions, and if so, performs threshold adjustment on a set of initial dispatching strategies corresponding to the threshold touch judgment information, obtains the adjusted target dispatching strategy and sends it to the corresponding operation and maintenance monitoring device. The above method can perform statistical analysis on the operation and maintenance monitoring information of each charging station, and adjust the corresponding set of initial dispatching strategies when the parameter adjustment conditions are met, thereby realizing flexible adjustment of the dispatching strategies of each charging station, matching the power supply dispatching strategy with the utilization rate of the charging station, and achieving the optimal electricity cost for each charging station.

[0058] The above-mentioned photovoltaic energy storage-based power supply scheduling device can be implemented in the form of a computer program, which can be used in Figure 5 Runs on the computer device shown.

[0059] See also Figure 5 , Figure 5 is a schematic block diagram of a computer device provided in an embodiment of the present invention. The computer device may be a dispatching controller for executing a power supply dispatching method based on photovoltaic energy storage to perform power supply dispatching control on a charging station with photovoltaic charging and energy storage battery storage functions.

[0060] See also Figure 5 The computer device 500 includes a processor 502 , a memory and a network interface 505 connected via a communication bus 501 , wherein the memory may include a storage medium 503 and an internal memory 504 .

[0061] The storage medium 503 may store an operating system 5031 and a computer program 5032. When the computer program 5032 is executed, the processor 502 may execute a power supply scheduling method based on photovoltaic energy storage, wherein the storage medium 503 may be a volatile storage medium or a non-volatile storage medium.

[0062] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500 .

[0063] The internal memory 504 provides an environment for the operation of the computer program 5032 in the storage medium 503. When the computer program 5032 is executed by the processor 502, the processor 502 can execute a power supply scheduling method based on photovoltaic energy storage.

[0064] The network interface 505 is used for network communication, such as providing data information transmission, etc. Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device 500 to which the solution of the present invention is applied. The specific computer device 500 may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0065] The processor 502 is used to run a computer program 5032 stored in the memory to implement the corresponding functions in the above-mentioned power supply scheduling method based on photovoltaic energy storage.

[0066] Those skilled in the art will understand that Figure 5 The embodiments of the computer device shown in the figure do not constitute a limitation on the specific composition of the computer device. In other embodiments, the computer device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently. For example, in some embodiments, the computer device may only include a memory and a processor. In such embodiments, the structure and function of the memory and the processor are the same as those of the embodiment of the present invention. Figure 5 The embodiments shown are consistent and will not be described again here.

[0067] It should be understood that in the embodiment of the present invention, the processor 502 may be a central processing unit (CPU), and the processor 502 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0068] In another embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium may be a volatile or non-volatile computer-readable storage medium. The computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the steps included in the above-mentioned power supply scheduling method based on photovoltaic energy storage are implemented.

[0069] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the above-described equipment, devices and units can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. Those of ordinary skill in the art can appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, computer software or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to the function. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0070] In the several embodiments provided by the present invention, it should be understood that the disclosed equipment, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. Units with the same function may also be combined into one unit. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices or units, or may be an electrical, mechanical or other form of connection.

[0071] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.

[0072] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0073] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a computer-readable storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned computer-readable storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a magnetic disk or an optical disk.

[0074] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A power supply scheduling method based on photovoltaic energy storage, characterized in that: The method is applied to a dispatching controller, wherein the dispatching controller establishes a network connection with the operation and maintenance monitoring equipment of each charging station to realize data information transmission; the operation and maintenance monitoring equipment is electrically connected to the photovoltaic panel, the energy storage battery and the charging pile, and the method includes: If the initial scheduling parameters input by the user are received, a corresponding initial scheduling strategy is generated according to the initial scheduling parameters and the electricity fee period information and sent to each of the operation and maintenance monitoring devices, so that the operation and maintenance monitoring device performs power supply scheduling according to the initial scheduling strategy; the operation and maintenance monitoring device includes real-time collected power information of the energy storage battery; Collecting statistics on the operation and maintenance monitoring information fed back by each of the operation and maintenance monitoring devices to obtain operation and maintenance statistical information corresponding to each of the operation and maintenance monitoring devices; According to the initial scheduling strategy, threshold reaching judgment is performed on each of the operation and maintenance statistical information to obtain corresponding threshold reaching judgment information; Determine whether the threshold reaching determination information of each of the operation and maintenance statistical information meets the preset parameter adjustment conditions; If the parameter adjustment condition is met, a threshold adjustment is performed on a set of initial scheduling strategies corresponding to the threshold reaching judgment information according to a preset data adjustment model to obtain an adjusted target scheduling strategy; The adjusted target scheduling strategy is sent to the corresponding operation and maintenance monitoring device.

2. The power supply scheduling method based on photovoltaic energy storage according to claim 1 is characterized in that: The generating a corresponding initial scheduling strategy according to the initial scheduling parameters and the electricity fee period information and sending it to each of the operation and maintenance monitoring devices includes: According to the threshold information set in the initial scheduling parameters, a corresponding limited threshold is set for each time period in the electricity fee time period information; According to the charging and discharging rules in the initial scheduling parameters, a corresponding scheduling direction is set for each time period in the electricity fee time period information to obtain a corresponding initial scheduling strategy.

3. The power supply scheduling method based on photovoltaic energy storage according to claim 1 is characterized in that: The operation and maintenance monitoring information fed back by each of the operation and maintenance monitoring devices is counted to obtain operation and maintenance statistical information corresponding to each of the operation and maintenance monitoring devices, including: The power information is statistically analyzed by time according to the collection time of the power information in the operation and maintenance monitoring information to obtain multiple groups of single-day statistical information as corresponding operation and maintenance statistical information.

4. The power supply scheduling method based on photovoltaic energy storage according to claim 2 is characterized in that: After performing time-division statistics on the power information according to the collection time of the power information in the operation and maintenance monitoring information to obtain multiple groups of single-day statistical information as corresponding operation and maintenance statistical information, the method further includes: Determine whether there are abnormal values ​​in the single-day statistical information of each group according to the preset abnormal value detection rules; If there is an abnormal value in the single-day statistical information, the single-day statistical information with the abnormal value will be deleted from the operation and maintenance statistical information.

5. The power supply scheduling method based on photovoltaic energy storage according to claim 1 is characterized in that: The performing threshold reaching judgment on each of the operation and maintenance statistical information according to the initial scheduling strategy to obtain corresponding threshold reaching judgment information includes: Obtaining a determination threshold corresponding to a scheduling direction of the time period from the defined thresholds of each time period in the initial scheduling strategy; Determine whether the power information of each time period in the operation and maintenance statistical information coincides with the corresponding judgment threshold, and obtain a corresponding coincidence judgment result; According to the coincidence judgment result, the reaching time point at which the power information coincides with the corresponding judgment threshold is obtained as the threshold reaching judgment information corresponding to the operation and maintenance statistical information.

6. The power supply scheduling method based on photovoltaic energy storage according to claim 1 is characterized in that: The step of judging whether the threshold-reaching judgment information of each operation and maintenance statistical information satisfies a preset parameter adjustment condition includes: According to each touch time point in the threshold touch judgment information, obtain a valid touch time point located in the second half of the corresponding time period; The effective reaching time points of each single-day statistical information in each time period are counted to obtain corresponding time point statistical information; Determine whether the reach ratio of the single-day statistical information in each time period in the time point statistical information exceeds the ratio range of the corresponding time period in the parameter adjustment condition; Determine whether the probability of exceeding the proportion range in each time period is greater than the probability threshold of the corresponding time period in the parameter adjustment condition; If the probability of exceeding any time period in the operation and maintenance statistical information is greater than the corresponding probability threshold, it is determined that the threshold reaching judgment information of the operation and maintenance statistical information meets the parameter adjustment condition; If the exceeding probability of each time period in the operation and maintenance statistical information is not greater than the corresponding probability threshold, it is determined that the threshold reaching judgment information of the operation and maintenance statistical information does not meet the parameter adjustment condition.

7. The power supply scheduling method based on photovoltaic energy storage according to claim 1 is characterized in that: The step of adjusting the threshold of a group of initial scheduling strategies corresponding to the threshold reaching judgment information according to the preset data adjustment model to obtain the adjusted target scheduling strategy includes: Performing numerical analysis on the exceedance probability corresponding to the time period that meets the parameter adjustment condition in the threshold reaching judgment information according to the data adjustment model to determine the corresponding adjustment range; According to the adjustment range, the limited threshold corresponding to the time period of the adjustment range in the initial scheduling strategy is adjusted to obtain an adjusted target scheduling strategy.

8. A power supply dispatching device based on photovoltaic energy storage, characterized in that: The device is configured in a dispatching controller, and the dispatching controller establishes a network connection with the operation and maintenance monitoring equipment of each charging station to realize data information transmission; the operation and maintenance monitoring equipment is electrically connected to the photovoltaic panel, the energy storage battery and the charging pile, and the device is used to execute the power supply dispatching method based on photovoltaic energy storage according to any one of claims 1 to 7, and the device includes: An initial scheduling strategy sending unit is used to generate a corresponding initial scheduling strategy according to the initial scheduling parameters and electricity fee period information upon receiving the initial scheduling parameters input by the user, and send the strategy to each of the operation and maintenance monitoring devices, so that the operation and maintenance monitoring device performs power supply scheduling according to the initial scheduling strategy; the operation and maintenance monitoring device includes the power information of the energy storage battery collected in real time; An operation and maintenance statistical information acquisition unit, used to collect statistics on the operation and maintenance monitoring information fed back by each of the operation and maintenance monitoring devices, and obtain operation and maintenance statistical information corresponding to each of the operation and maintenance monitoring devices; A judgment information acquisition unit, used to perform threshold reaching judgment on each of the operation and maintenance statistical information according to the initial scheduling strategy, and obtain corresponding threshold reaching judgment information; A parameter adjustment judgment unit, used to judge whether the threshold reaching judgment information of each of the operation and maintenance statistical information meets the preset parameter adjustment conditions; A threshold adjustment unit, configured to adjust a set of initial scheduling strategies corresponding to the threshold reaching judgment information according to a preset data adjustment model if a parameter adjustment condition is met, to obtain an adjusted target scheduling strategy; The target scheduling strategy sending unit is used to send the adjusted target scheduling strategy to the corresponding operation and maintenance monitoring device.

9. A computer device, characterized in that: The device includes a processor, a network interface, a memory and a communication bus, wherein the processor, the network interface and the memory communicate with each other via the communication bus; Memory, used to store computer programs; The processor is used to implement the steps of the power supply scheduling method based on photovoltaic energy storage described in any one of claims 1 to 7 when executing the program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the power supply scheduling method based on photovoltaic energy storage are implemented as described in any one of claims 1 to 7.

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