Energy management method applied to optical storage and charging micro-grid system

Abstract

The invention discloses an energy management method applied to an optical storage and charging micro-grid system, and relates to the technical field of energy management of a micro-grid system, and the method comprises the steps: collecting data in the optical storage and charging micro-grid system; the data comprises data of photovoltaic equipment, energy storage equipment, a charging pile and a system grid connection point; formulating a charging strategy of the charging pile according to the charging pile and the electricity price time period data; formulating an energy storage charging and discharging strategy according to the current electricity price time period, the energy storage equipment and the system grid-connected point data; according to photovoltaic, energy storage, charging pile and system grid-connected point data, system operation conditions are analyzed, and control strategies of photovoltaic equipment and energy storage equipment are adjusted in time. According to the system and the method, system economic functions such as photovoltaic local consumption, energy storage peak-valley arbitrage and ordered charging of the charging pile are realized, system safety functions such as countercurrent protection, energy storage protection and heavy load protection are also realized, the system safety and the power demand of a vehicle owner are ensured, the power utilization cost of the system is reduced, and the economic benefit of the system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management of microgrid systems, and in particular to an energy management method applied to a photovoltaic storage and charging microgrid system. Background Art

[0002] Photovoltaic storage and charging microgrid system: A new micro-grid system is formed by connecting photovoltaic, energy storage, charging piles and other equipment to the same branch of the large power grid.

[0003] Under the requirements of the "dual carbon" goal, new energy-related equipment such as photovoltaics, energy storage and charging piles are constantly being connected to the traditional power grid system. These devices have promoted the power generation and utilization of new energy, but they are also accompanied by many problems. For example, the large-scale grid connection of photovoltaic power generation will affect the power quality of the large power grid, and the use of charging piles during the peak period of power consumption in the power grid will aggravate the heavy overload of the transformer in the substation area. Faced with the uncertainty and potential risks of these devices, the comprehensive transformation of the existing power grid system is not only difficult, but also has huge time and economic costs. Therefore, it is urgent to build a safe, reliable, efficient and economical microgrid system. The core of the microgrid system lies in the energy management algorithm. At present, the energy management algorithm for a single device in photovoltaics, energy storage and charging piles has gradually matured. However, in the photovoltaic storage and charging microgrid system, the energy between photovoltaics, energy storage and charging piles affects each other. How to coordinate and control photovoltaics, energy storage and charging piles so that the system safety and economy are guaranteed at the same time has always been a major problem in the field of energy management technology of microgrid systems. Summary of the invention

[0004] In view of the problems existing in the existing energy management, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is how to coordinate and control photovoltaics, energy storage and charging piles in a photovoltaic-storage-charging microgrid system, where the energy between photovoltaics, energy storage and charging piles affects each other, so as to ensure both system safety and economy.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, an embodiment of the present invention provides an energy management method applied to a photovoltaic storage and charging microgrid system, which includes:

[0008] Collect data in the photovoltaic storage and charging microgrid system; the data includes data on photovoltaic equipment, energy storage equipment, charging piles and system grid connection points;

[0009] Formulate charging strategies for charging piles based on charging pile and electricity price period data;

[0010] Formulate energy storage charging and discharging strategies based on current electricity price periods, energy storage equipment, and system grid connection point data;

[0011] Analyze system operation status based on data from photovoltaics, energy storage, charging piles and system grid connection points, and adjust control strategies for photovoltaic equipment and energy storage equipment in a timely manner.

[0012] As a preferred solution of the energy management method applied to the photovoltaic storage and charging microgrid system of the present invention, the charging pile charging strategy includes:

[0013] According to the battery capacity of the electric vehicle connected to the i-th charging pile and the current SOC, the required charging amount W of the vehicle is calculated. i ;

[0014] Judge W i Is it 0? If so, let P i =0, end the process and proceed to formulate energy storage charging and discharging strategy, otherwise proceed to the next step;

[0015] Judge W i ≥P imax (T end -T), if so, let P i =P imax , end the process and proceed to formulate energy storage charging and discharging strategy, , if not, proceed to the next step;

[0016] Judging T and T end The electricity price period included in the interval, and the corresponding strategy is executed according to the judgment result;

[0017] Among them, P i is the control power of the i-th charging pile, T end is the planned pick-up time, and T is the current time.

[0018] As a preferred solution of the energy management method applied to the photovoltaic storage and charging microgrid system of the present invention, wherein: the execution of the corresponding strategy according to the judgment result includes:

[0019] If only one of the peak, flat, and valley periods is included, let P i =W i / (T end -T);

[0020] If it includes peak time and flat time, if W i ≤P imax ·t 平 , then continue to determine the time period T is in. If it is in the normal period, let P i =W i / t 平 , if it is in the peak period, let P i =0, if W i >P imax ·t 平Continue to determine the time period T is in. If it is in a normal period, let P i =P imax , if it is in the peak period, let P i =(W i -P imax ·t 平 ) / t 峰 ;

[0021] If it includes both normal and valley periods, if W i ≤P imax ·t 谷 , continue to judge the time period of T, if it is in the valley period, let P i =W i / t 谷 , if it is in the normal period, let P i =0; if W i >P imax ·t 谷 , continue to judge the time period of T, if it is in the valley period, let P i =P imax , if it is in the normal period, let P i =(W i -P imax ·t 谷 ) / t 平 ;

[0022] If there are peak, flat and valley periods at the same time, if W i ≤P imax ·t 谷 , continue to judge the time period of T, if it is in the valley period, let P i =W i / t 谷 , if it is in normal time or peak time, let P i =0; if P imax ·t 谷 <W i ≤P imax (t 谷 +t 平 ), continue to determine the time period T is in, if it is in the valley period, let P i =P imax , if it is in the normal period, let P i =(W i -P imax ·t 谷 ) / t 平 , if it is in the peak period, let P i =0; if W i >P imax (t 谷 +t 平 ), continue to determine the time period T is in, if it is in the valley period or the flat period, let Pi =P imax , if it is in the peak period, let P i =(W i -P imax ·(t 谷 +t 平 ) / t 峰 ;

[0023] Among them, P imax is the rated power of the i-th charging pile, T end is the planned pick-up time, T is the current time, and P i is the control power of the i-th charging pile, t 峰 ,t 平 ,t 谷 T and T end The length of time between peak, flat and valley periods.

[0024] As a preferred solution of the energy management method applied to the photovoltaic storage and charging microgrid system of the present invention, the specific process of the energy storage charging and discharging strategy is as follows:

[0025] If the system grid-connected point power is less than 0 and the energy storage SOC is less than 100, then continue to judge whether the absolute value of the system grid-connected point power is greater than the rated power of the energy storage. If it is, control the energy storage to charge at the rated power, and limit the maximum photovoltaic power generation to the sum of the power of the energy storage and the charging pile. Otherwise, control the energy storage to charge at the absolute value of the system grid-connected point power; if the system grid-connected point power is less than 0 and the energy storage SOC is 100, limit the maximum photovoltaic power generation to the sum of the power of the charging pile, and control the energy storage to standby; if the system grid-connected point power is greater than or equal to 0, the photovoltaic power generation restriction is lifted.

[0026] As a preferred solution of the energy management method applied to the photovoltaic storage and charging microgrid system of the present invention, the control strategy for adjusting the photovoltaic equipment and the energy storage equipment includes:

[0027] If the system grid-connected point power is less than 0 and the energy storage SOC is less than 100, then continue to judge whether the absolute value of the system grid-connected point power is greater than the rated power of the energy storage. If it is, control the energy storage to charge at the rated power, and limit the maximum photovoltaic power generation to the sum of the power of the energy storage and the charging pile. Otherwise, control the energy storage to charge at the absolute value of the system grid-connected point power; if the system grid-connected point power is less than 0 and the energy storage SOC is 100, limit the maximum photovoltaic power generation to the sum of the power of the charging pile, and control the energy storage to standby; if the system grid-connected point power is greater than or equal to 0, the photovoltaic power generation restriction is lifted.

[0028] As a preferred solution of the energy management method applied to the photovoltaic storage and charging microgrid system described in the present invention, the data of the charging pile includes the rated power of the charging pile, the battery capacity of the electric vehicle connected to the charging pile, the current SOC and the planned pick-up time.

[0029] As a preferred solution of the energy management method applied to the photovoltaic storage and charging microgrid system described in the present invention, the control strategies of the photovoltaic equipment and the energy storage equipment are adjusted, and control instructions for the photovoltaic equipment, the energy storage equipment and the charging pile are issued, and the data is returned to be re-collected after a specified time.

[0030] In a second aspect, an embodiment of the present invention provides an energy management system applied to a photovoltaic storage and charging microgrid system, comprising:

[0031] A data acquisition module is used to collect data in the photovoltaic storage and charging microgrid system; the data includes data of photovoltaic equipment, energy storage equipment, charging piles and system grid connection points;

[0032] The strategy formulation module is used to formulate charging strategies for charging piles based on charging piles and electricity price period data, and to formulate energy storage charging and discharging strategies based on the current electricity price period, energy storage equipment and system grid connection point data;

[0033] The monitoring module is used to analyze the system operation status according to the data of photovoltaic, energy storage, charging piles and system grid connection points, and timely adjust the control strategy of photovoltaic equipment and energy storage equipment.

[0034] In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, it implements any step of the above-mentioned energy management method applied to a photovoltaic storage and charging microgrid system.

[0035] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the above-mentioned energy management method applied to a photovoltaic storage and charging microgrid system is implemented.

[0036] The beneficial effect of the present invention is to provide an economical and reliable energy management algorithm for the photovoltaic storage and charging microgrid system, which not only realizes the system economic functions such as local photovoltaic consumption, energy storage peak-valley arbitrage, and orderly charging of charging piles, but also realizes the system safety functions such as reverse current protection, energy storage protection, and overload protection. While ensuring the system safety and the electricity demand of car owners, it reduces the system electricity cost and improves the economic benefits of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0038] Figure 1 A diagram of a photovoltaic storage and charging microgrid system showing an energy management method applied to the photovoltaic storage and charging microgrid system.

[0039] Figure 2 This is a data diagram of electricity price periods for the energy management method applied to the photovoltaic storage and charging microgrid system.

[0040] Figure 3 Graph showing daily photovoltaic power generation for an energy management method applied to a photovoltaic storage and charging microgrid system.

[0041] Figure 4 The flowchart of the algorithm is an energy management method applied to the photovoltaic storage and charging microgrid system.

[0042] Figure 5 This is a diagram showing the effects before and after calling the algorithm of the energy management method applied to the photovoltaic storage and charging microgrid system. DETAILED DESCRIPTION

[0043] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0044] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0045] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0046] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0047] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0048] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0049] Example 1

[0050] Reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, provides an energy management method applied to a photovoltaic storage and charging microgrid system, comprising:

[0051] S1: Collect data in the photovoltaic storage and charging microgrid system; the data includes data of photovoltaic equipment, energy storage equipment, charging piles and system grid connection points.

[0052] The charging pile data not only includes the rated power of the charging pile, but also includes the battery capacity of the electric vehicle connected to the charging pile, the current SOC and the planned pick-up time.

[0053] S2: Formulate charging strategy for charging piles based on charging pile and electricity price period data.

[0054] Specifically, the specific process of formulating charging pile charging strategy is as follows:

[0055] S2.1 Calculate the required charging capacity W of the vehicle based on the battery capacity of the electric vehicle connected to the i-th charging pile and the current SOC i ;

[0056] S2.2 Determine W i Is it 0? If so, let P i =0, go to S3, if not go to S2.3;

[0057] S2.3 Determine W i ≥P imax (T end -T), if so, let P i =P imax, go to S3, if not go to S2.4;

[0058] S2.4 Determine T and T end The electricity price period included in the interval is implemented according to the judgment result, as follows:

[0059] If only one of the peak, flat, and valley periods is included, let P i =W i / (T end -T);

[0060] If it includes peak time and flat time, if W i ≤P imax ·t 平 , then continue to determine the time period T is in. If it is in the normal period, let P i =W i / t 平 , if it is in the peak period, let P i =0, if W i >P imax ·t 平 Continue to determine the time period T is in. If it is in a normal period, let P i =P imax , if it is in the peak period, let P i =(W i -P imax ·t 平 ) / t 峰 ;

[0061] If it includes both normal and valley periods, if W i ≤P imax ·t 谷 , continue to judge the time period of T, if it is in the valley period, let P i =W i / t 谷 , if it is in the normal period, let P i =0; if W i >P imax ·t 谷 , continue to judge the time period of T, if it is in the valley period, let P i =P imax , if it is in the normal period, let P i =(W i -P imax ·t 谷 ) / t 平 ;

[0062] If there are peak, flat and valley periods at the same time, if W i ≤P imax ·t 谷 , continue to judge the time period of T, if it is in the valley period, let P i=W i / t 谷 , if it is in normal time or peak time, let P i =0; if P imax ·t 谷 <W i ≤P imax (t 谷 +t 平 ), continue to determine the time period T is in, if it is in the valley period, let P i =P imax , if it is in the normal period, let P i =(W i -P imax ·t 谷 ) / t 平 , if it is in the peak period, let P i =0; if W i >P imax (t 谷 +t 平 ), continue to determine the time period T is in, if it is in the valley period or the flat period, let P i =P imax , if it is in the peak period, let P i =(W i -P imax ·(t 谷 +t 平 ) / t 峰 .

[0063] Among them, P imax is the rated power of the i-th charging pile, T end is the planned pick-up time, T is the current time, P i is the control power of the i-th charging pile, t 峰 ,t 平 ,t 谷 T and T end The length of time between peak, flat and valley periods.

[0064] S3: Formulate energy storage charging and discharging strategies based on current electricity price periods, energy storage and system grid connection point data;

[0065] Specifically, the specific process of energy storage charging and discharging strategy is as follows:

[0066] If the system grid-connected point power is less than 0 and the energy storage SOC is less than 100, then continue to judge whether the absolute value of the system grid-connected point power is greater than the rated power of the energy storage. If it is, control the energy storage to charge at the rated power, and limit the maximum photovoltaic power generation to the sum of the power of the energy storage and the charging pile. Otherwise, control the energy storage to charge at the absolute value of the system grid-connected point power; if the system grid-connected point power is less than 0 and the energy storage SOC is 100, limit the maximum photovoltaic power generation to the sum of the power of the charging pile, and control the energy storage to standby; if the system grid-connected point power is greater than or equal to 0, the photovoltaic power generation restriction is lifted.

[0067] S4: Analyze the system operation status based on the data of photovoltaic, energy storage, charging piles and system grid connection points, and adjust the control strategy of photovoltaic and energy storage in time;

[0068] The specific process of adjusting the photovoltaic and energy storage control strategies is as follows: if the system grid-connected point power is less than 0 and the energy storage SOC is less than 100, then continue to judge whether the absolute value of the system grid-connected point power is greater than the rated power of the energy storage. If so, control the energy storage to charge at the rated power, and limit the maximum photovoltaic power generation to the sum of the power of the energy storage and the charging pile. Otherwise, control the energy storage to charge at the absolute value of the system grid-connected point power; if the system grid-connected point power is less than 0 and the energy storage SOC is 100, limit the maximum photovoltaic power generation to the sum of the power of the charging pile, and control the energy storage to standby; if the system grid-connected point power is greater than or equal to 0, lift the photovoltaic power generation restriction.

[0069] S5: Send control instructions for photovoltaic, energy storage, and charging piles, and return to S1 after 5 minutes

[0070] Furthermore, this embodiment also provides an energy management system applied to a photovoltaic storage and charging microgrid system, including:

[0071] This embodiment also provides a computer device, which is suitable for the energy management method applied to the photovoltaic storage and charging microgrid system, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the energy management method applied to the photovoltaic storage and charging microgrid system as proposed in the above embodiment.

[0072] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0073] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the energy management method applied to the photovoltaic storage and charging microgrid system as proposed in the above embodiment is implemented.

[0074] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be found in the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0075] Example 2

[0076] This is the second embodiment of the present invention. This embodiment provides an energy management method applied to a photovoltaic storage and charging microgrid system. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0077] Figure 1 The figure shows a photovoltaic storage and charging microgrid system based on this algorithm. The system includes 100kW photovoltaic power generation, 1 100kW / 500kWh energy storage, 4 100kW charging piles, 1 1MW transformer and 1 substation terminal. Assume that the electricity price period data is as follows: Figure 2 As shown in Figure 2, the photovoltaic power generation situation is as follows: Figure 3 As shown, the battery capacity of the electric vehicle connected to each charging pile is 200kWh, the initial SOC is 0, the time from connecting to the charging pile to the planned pick-up time is 4 hours, the connection time of each pile is 1 hour apart, and the next car connects immediately after the previous car leaves, ignoring the energy loss in the system.

[0078] like Figure 4 As shown, an energy management algorithm applied to a photovoltaic storage and charging microgrid system includes the following steps:

[0079] S1: The substation terminal collects data such as total photovoltaic power generation, energy storage capacity and SOC, the rated power of each charging pile, the battery capacity, SOC and planned pick-up time of the connected electric vehicle, and the power at the system grid connection point;

[0080] S2: The area terminal calculates the control power of each charging pile based on the charging pile and electricity price period data;

[0081] S3: The substation terminal calculates the control power of the energy storage according to the current electricity price period, energy storage and system grid connection point data;

[0082] S4: The substation terminal analyzes the system operation status based on the data of photovoltaic, energy storage, charging piles and system grid connection points, and adjusts the control power of photovoltaic and energy storage in time according to the system operation status;

[0083] S5: The substation terminal sends power control instructions to photovoltaic, energy storage and charging piles respectively, and returns to S1 after 5 minutes, and the cycle continues.

[0084] like Figure 5 As shown in the figure, after the photovoltaic storage and charging microgrid system calls this algorithm, the power of the system grid connection point increases significantly during the electricity price valley period and decreases significantly during the electricity price peak period. Under the premise of ensuring the electricity demand of the car owners, the total electricity cost of the system is reduced, the economic benefits of the system are improved, and the negative impact of the system on the large power grid during the peak electricity consumption period is also reduced.

[0085] The benefits and costs of photovoltaics, energy storage, charging piles and the system of the photovoltaic-storage-charging microgrid system are calculated before and after calling this algorithm. The data results are shown in the following table. It can be seen that after the algorithm is applied to the system, it not only improves the peak-valley arbitrage income of energy storage, but also reduces the electricity cost of charging piles, reducing the total electricity cost of the system by about 21%.

[0086]

[0087]

[0088] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An energy management method applied to a photovoltaic storage and charging microgrid system, characterized by: include, Collect data in the photovoltaic storage and charging microgrid system; the data includes data on photovoltaic equipment, energy storage equipment, charging piles and system grid connection points; Formulate charging strategies for charging piles based on charging pile and electricity price period data; Formulate energy storage charging and discharging strategies based on current electricity price periods, energy storage equipment, and system grid connection point data; Analyze system operation status based on data from photovoltaics, energy storage, charging piles and system grid connection points, and adjust control strategies for photovoltaic equipment and energy storage equipment in a timely manner.

2. The energy management method applied to the photovoltaic storage and charging microgrid system according to claim 1, characterized in that: The charging pile charging strategy includes: According to the battery capacity of the electric vehicle connected to the i-th charging pile and the current SOC, the required charging amount W of the vehicle is calculated. i ; Judge W i Is it 0? If so, let P i =0, end the process and proceed to formulate energy storage charging and discharging strategy, otherwise proceed to the next step; Judge W i ≥P imax (T end -T), if so, let P i =P imax , end the process and proceed to formulate energy storage charging and discharging strategy, , if not, proceed to the next step; Judging T and T end The electricity price period included in the interval, and the corresponding strategy is executed according to the judgment result; Among them, P i is the control power of the i-th charging pile, T end is the planned pick-up time, and T is the current time.

3. The energy management method applied to the photovoltaic storage and charging microgrid system according to claim 2, characterized in that: The executing of corresponding strategies according to the judgment result includes: If only one of the peak, flat, and valley periods is included, let P i =W i / (T end -T); If it includes peak time and flat time, if W i ≤P imax ·t 平 , then continue to determine the time period T is in. If it is in the normal period, let P i =W i / t 平 , if it is in the peak period, let P i =0, if W i >P imax ·t 平 Continue to determine the time period T is in. If it is in a normal period, let P i =P imax , if it is in the peak period, let P i =(W i -P imax ·t 平 ) / t 峰 ; If it includes both normal and valley periods, if W i ≤P imax ·t 谷 , continue to judge the time period of T, if it is in the valley period, let P i =W i / t 谷 , if it is in the normal period, let P i =0; if W i >P imax ·t 谷 , continue to judge the time period of T, if it is in the valley period, let P i =P imax , if it is in the normal period, let P i =(W i -P imax ·t 谷 ) / t 平 ; If there are peak, flat and valley periods at the same time, if W i ≤P imax ·t 谷 , continue to judge the time period of T, if it is in the valley period, let P i =W i / t 谷 , if it is in normal time or peak time, let P i =0; if P imax ·t 谷 <W i ≤P imax (t 谷 +t 平 ), continue to determine the time period T is in, if it is in the valley period, let P i =P imax , if it is in the normal period, let P i =(W i -P imax ·t 谷 ) / t 平 , if it is in the peak period, let P i =0; if W i >P imax (t 谷 +t 平 ), continue to determine the time period T is in, if it is in the valley period or the flat period, let P i =P imax , if it is in the peak period, let P i =(W i -P imax ·(t 谷 +t 平 ) / t 峰 ; Among them, P imax is the rated power of the i-th charging pile, T end is the planned pick-up time, T is the current time, and P i is the control power of the i-th charging pile, t 峰 ,t 平 ,t 谷 T and T end The length of time between peak, flat and valley periods.

4. The energy management method applied to the photovoltaic storage and charging microgrid system according to claim 3, characterized in that: The specific process of the energy storage charging and discharging strategy is as follows: If the system grid-connected point power is less than 0 and the energy storage SOC is less than 100, then continue to judge whether the absolute value of the system grid-connected point power is greater than the rated power of the energy storage. If it is, control the energy storage to charge at the rated power, and limit the maximum photovoltaic power generation to the sum of the power of the energy storage and the charging pile. Otherwise, control the energy storage to charge at the absolute value of the system grid-connected point power; if the system grid-connected point power is less than 0 and the energy storage SOC is 100, limit the maximum photovoltaic power generation to the sum of the power of the charging pile, and control the energy storage to standby; if the system grid-connected point power is greater than or equal to 0, the photovoltaic power generation restriction is lifted.

5. The energy management method applied to the photovoltaic storage and charging microgrid system according to claim 4, characterized in that: The control strategy for adjusting the photovoltaic device and the energy storage device includes: If the system grid-connected point power is less than 0 and the energy storage SOC is less than 100, then continue to judge whether the absolute value of the system grid-connected point power is greater than the rated power of the energy storage. If it is, control the energy storage to charge at the rated power, and limit the maximum photovoltaic power generation to the sum of the power of the energy storage and the charging pile. Otherwise, control the energy storage to charge at the absolute value of the system grid-connected point power; if the system grid-connected point power is less than 0 and the energy storage SOC is 100, limit the maximum photovoltaic power generation to the sum of the power of the charging pile, and control the energy storage to standby; if the system grid-connected point power is greater than or equal to 0, the photovoltaic power generation restriction is lifted.

6. The energy management method applied to the photovoltaic storage and charging microgrid system according to claim 5, characterized in that: The data of the charging pile includes the rated power of the charging pile, the battery capacity of the electric vehicle connected to the charging pile, the current SOC and the planned pick-up time.

7. The energy management method applied to the photovoltaic storage and charging microgrid system according to claim 6, characterized in that: After adjusting the control strategies of the photovoltaic equipment and the energy storage equipment, control instructions for the photovoltaic equipment, the energy storage equipment and the charging pile are issued, and the data are collected again after a specified time.

8. An energy management system applied to a photovoltaic storage and charging microgrid system, based on the energy management method applied to a photovoltaic storage and charging microgrid system according to any one of claims 1 to 7, characterized in that: include, A data acquisition module is used to collect data in the photovoltaic storage and charging microgrid system; the data includes data of photovoltaic equipment, energy storage equipment, charging piles and system grid connection points; The strategy formulation module is used to formulate charging strategies for charging piles based on charging piles and electricity price period data, and to formulate energy storage charging and discharging strategies based on the current electricity price period, energy storage equipment and system grid connection point data; The monitoring module is used to analyze the system operation status according to the data of photovoltaic, energy storage, charging piles and system grid connection points, and timely adjust the control strategy of photovoltaic equipment and energy storage equipment.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the energy management method applied to the photovoltaic storage and charging microgrid system described in any one of claims 1 to 7 are implemented.

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 energy management method applied to a photovoltaic storage and charging microgrid system described in any one of claims 1 to 7 are implemented.

Images