Energy storage and distributed photovoltaic loss reduction and absorption control method, device and equipment

Abstract

The present invention proposes a loss reduction and consumption control method, device and equipment for energy storage coordinated distributed photovoltaics. Based on the time-of-use electricity price scenario divided into three time periods: peak, flat and valley, the photovoltaic and energy storage usage scenarios are divided into four continuous time periods throughout the day in order of valley period Δt. L , flat section Δt F1 , peak segment Δt H and flat section Δt F2 , the photovoltaic power generation time is Δt F1 to Δt H In between, based on the stable average power of the power supply side of the grid, a combined device of photovoltaics and energy storage is used, and at the same time, combined with the time-of-use electricity price scenario, specific methods of absorbing and reducing losses are proposed for each time period. While considering the economic benefits of users, it can effectively smooth out the power supply fluctuations of the grid interconnection lines caused by peak and valley loads and photovoltaic fluctuations, and reduce the line losses caused by power transmission fluctuations.

Description

Technical Field

[0001] The present invention belongs to the field of new energy power systems and energy storage technology, and in particular relates to a loss reduction and absorption control method, device and equipment for energy storage coordinated with distributed photovoltaics. Background Art

[0002] At present, the production and life operations of human society are closely related to energy.

[0003] The photovoltaic (PV) power generation industry is facing new challenges and development opportunities. As a major source of clean energy, distributed PV boasts high penetration and a high proportion in distribution networks. However, it exhibits intermittent, fluctuating, and random characteristics. Furthermore, given the uncertainty of user loads, fluctuating power transmission leads to more complex issues such as power loss and photovoltaic power backflow. Therefore, reducing losses and energy consumption, as well as preventing backflow, when integrating high-proportion distributed PV has become a key research focus. Summary of the Invention

[0004] In response to the daily power fluctuations and daily electricity fluctuations of the power load after a high proportion of distributed photovoltaics are connected, the present invention proposes a loss reduction and absorption control method, device and equipment for energy storage and coordinated distributed photovoltaics. Without increasing the electricity cost, it is proposed to use energy storage devices to smooth the power of distributed photovoltaics and loads to obtain a dynamically stable average power, thereby reducing the line loss caused by power transmission fluctuations. At the same time, energy storage peak shaving and valley filling and high-level absorption of distributed photovoltaics are achieved, thereby improving the stability and economy of the power system.

[0005] On the one hand, the present invention proposes a loss reduction and consumption control method for energy storage coordinated with distributed photovoltaics. Based on the time-of-use electricity price scenario divided into three time periods: peak, flat, and valley, the photovoltaic and energy storage usage scenarios are divided into four continuous time periods throughout the day in order of valley period Δt L , flat section Δt F1 , peak segment Δt H and flat section Δt F2 , photovoltaic power generation time Δt PV At Δt F1 to Δt H Between; a certain type of user adopts the peak electricity price p H , flat electricity price p F , off-peak electricity price p L , photovoltaic grid-connected electricity price p PV ; The Δt L Defined as period 1, from Δt F1 Start to Δt PV The start is defined as period 2, Δt PV Defined as period 3, from Δt PV End to Δt F2The end is defined as period 4; based on the historical power consumption of user loads and the historical power generation of distributed photovoltaics, the minimum unit time Δt is generated by data density, and the daily load power consumption curve and photovoltaic power generation curve are predicted using historical data; the characteristics are: the distributed photovoltaic power generation device and the supporting energy storage equipment work together, and all distributed photovoltaic power generation in each period is consumed locally; the capacity of the energy storage equipment consists of two parts: the minimum backup capacity and the dynamic adjustment capacity. The energy storage equipment only discharges to the grid during peak electricity price periods and only charges from the grid during valley electricity price periods, so that its power is fully charged in the valley period and fully released in the remaining period.

[0006] Preferably, a variable-power constant-power tracking method is adopted for period 1, and the grid side uses the total grid power required in period 1 to be spread out per unit time as the average power, so that the energy storage device is dynamically charged to full capacity.

[0007] Preferably, a composite stage constant power tracking method is adopted for time periods 2, 3, and 4. After entering each time period, the remaining power of the energy storage device is collected. The grid side of time periods 2, 3, and 4 respectively uses the total grid power required in time periods (2, 3, 4), (3, 4), and 4 to determine the initial average power value per unit time; the energy storage device discharges with dynamically adjusted capacity starting from time period 2, and the minimum reserve capacity is only used in the photovoltaic power cut-off gap until entering time period 4, when photovoltaic power generation tasks are withdrawn. The energy storage device no longer retains the minimum reserve capacity and discharges with all the remaining power, and the power is completely released before the end of time period 4; Δt of time periods 2 and 3 F1 The segment has a negative discharge characteristic to track the situation where the average power exceeds the total load. The Δt of period 3 H Segment 4 and period 4 only adjust the discharge power.

[0008] Furthermore, to address the photovoltaic reverse transmission problem in period 3, a minimum forward charging method is added to period 3, using energy storage equipment to charge the photovoltaic power that is about to be reversed to prevent reverse transmission to the grid.

[0009] Preferably, in order to address the power fluctuations of the load and the power generation fluctuations of high-proportion distributed photovoltaics, a negative feedback power deviation post-compensation fluctuation suppression method is adopted to collect the actual power generation of distributed photovoltaics and the actual power consumption of user loads per unit time, monitor the average power change increment actually transmitted on the grid side, and correct the subsequent average power value by spreading the average power increment within this unit time to all remaining time.

[0010] Furthermore, the negative feedback power deviation post-compensation fluctuation suppression method is specifically as follows: when the actual power consumption of the user load and the actual power generation of distributed photovoltaics collected within a unit time deviate from the predicted values at the same time, the total power deviation is calculated together, and the total deviation is regarded as the average power increment, which is spread evenly over each remaining unit time in this period. The overall grid-side power supply power is leveled to correct the average power, and then the above correction process is repeated in the next unit time.

[0011] On the other hand, the present invention proposes a loss reduction and consumption control device for energy storage and distributed photovoltaics, comprising:

[0012] Photovoltaic and energy storage usage scenario division module: Based on the time-of-use electricity price scenario divided into three time periods: peak, flat and valley, the photovoltaic and energy storage usage scenarios are divided into four continuous time periods throughout the day in order of valley period Δt L , flat section Δt F1 , peak segment Δt H and flat section Δt F2 , photovoltaic power generation time Δt PV At Δt F1 to Δt H between the Δt L Defined as period 1, from Δt F1 Start to Δt PV The start is defined as period 2, Δt PV Defined as period 3, from Δt PV End to Δt F2 The end is defined as period 4;

[0013] Electricity price determination module: According to the division of photovoltaic and energy storage usage scenarios by the photovoltaic and energy storage usage scenario division module, the electricity price of a certain type of user in each period is determined, and the peak electricity price p is adopted. H , flat electricity price p F , off-peak electricity price p L , photovoltaic grid-connected electricity price p PV ;

[0014] Daily load power consumption curve and photovoltaic power generation curve calculation module: Based on the historical power consumption of user loads and the historical power generation data of distributed photovoltaics, the minimum unit time Δt is generated by data density, and the daily load power consumption curve and photovoltaic power generation curve are predicted using historical data;

[0015] Control module: Controls distributed photovoltaic power generation devices and energy storage equipment in each time period, realizes the coordinated work of distributed photovoltaic power generation devices and supporting energy storage equipment, and all distributed photovoltaic power generation in each time period is consumed locally; the capacity of the energy storage equipment consists of two parts: minimum backup capacity and dynamic adjustment capacity. The energy storage equipment only discharges to the grid during peak electricity price periods and only charges from the grid during off-peak electricity price periods, so that its electricity is fully charged in the off-peak period and fully released in the remaining period.

[0016] On the other hand, the present invention proposes an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the processor implements the aforementioned loss reduction and absorption control method for energy storage coordinated with distributed photovoltaics.

[0017] On the other hand, the present invention proposes a non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, it implements a loss reduction and absorption control method for energy storage coordinated with distributed photovoltaics as described above.

[0018] The beneficial effects of the present invention are as follows: (1) The method of the present invention uses energy storage to smooth power, and uses average power to balance the grid-side power supply power during peak and valley power consumption. At the same time, feedback adjustment is performed on the real-time fluctuations of distributed photovoltaic and user loads to achieve dynamic stability of grid-side power supply power within a limited range, thereby reducing line losses caused by power transmission fluctuations. (2) The method of the present invention can prevent photovoltaic power from being reversed, enhance the on-site consumption of distributed photovoltaics, and fully utilize the economic space of time-of-use electricity prices by using energy storage devices to achieve economic operation of the system. (3) The method of the present invention can promote a new model for the development of distributed photovoltaics - "photovoltaic + energy storage", give full play to the two-way regulation role of energy storage devices in power generation and consumption, increase the proportion of photovoltaic self-generation and self-use, and optimize the level of new energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a flowchart of the steps of a loss reduction and consumption control method for energy storage coordinated with distributed photovoltaics proposed in an embodiment of the present invention;

[0020] Figure 2 This is a full-time specific flow chart of a loss reduction and consumption control method for energy storage coordinated with distributed photovoltaics proposed in an embodiment of the present invention;

[0021] Figure 3 It is a system structure diagram of a loss reduction and absorption control method for energy storage coordinated with distributed photovoltaics proposed in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] The embodiments are described in detail below with reference to the accompanying drawings.

[0023] The present invention will be described in more detail below with reference to the accompanying drawings and specific embodiments so that those skilled in the art can more clearly understand the core ideas, technical solutions and advantages of the present invention. It should be emphasized that the description of the embodiments is for illustrative purposes only and should not be construed as limiting the scope of application of the present invention.

[0024] like Figure 1As shown, the embodiment of the present invention proposes a loss reduction and consumption control method for energy storage coordinated with distributed photovoltaics. First, it is necessary to determine the photovoltaic and energy storage electricity price standards and usage scenarios. Based on the time-of-use electricity price scenario divided into three time periods: peak, flat, and valley, the photovoltaic and energy storage usage scenarios are divided into four continuous time periods throughout the day. Among them, the valley period is Δt L (22:00-6:00), the flat section is Δt F1 (6:00-10:00), Δt F2 (18:00-22:00), the peak section is Δt H (10:00-18:00), photovoltaic power generation time Δt PV (8:00-17:00) is in Δt F1 to Δt H Between; a specific type of user adopts peak electricity price p H (0.8800 yuan / kWh), flat electricity price p F (0.5943 yuan / kWh), off-peak electricity price p L (0.3086 yuan / kWh), photovoltaic grid-connected electricity price p PV (0.40 yuan / kWh). L Defined as period 1, from Δt F1 Start to Δt PV The start is defined as period 2, Δt PV Defined as period 3, from Δt PV End to Δt F2 The end is defined as period 4. A coordinated strategy of distributed photovoltaic power generation devices and energy storage equipment is adopted. All distributed photovoltaic power generation during each period is consumed locally. The energy storage equipment capacity consists of two components: minimum backup capacity and dynamic adjustment capacity. Based on the energy storage charging and discharging principle of only discharging to the grid during peak electricity price periods and only charging from the grid during off-peak electricity price periods, the energy storage equipment is fully charged during off-peak periods and fully discharged during the remaining periods.

[0025] The capacity of energy storage equipment consists of two parts: minimum reserve capacity and dynamic adjustment capacity, which are specifically calculated using the following formula:

[0026] W Σsto =W min +W adjust

[0027] W min =ηW ΣPV

[0028] Where W Σsto Planned total charging capacity for energy storage equipment in period 1, W min is the minimum backup capacity, η is the photovoltaic energy storage configuration coefficient, W adjust To dynamically adjust capacity.

[0029] Collect historical user load electricity consumption and distributed photovoltaic historical power generation data, and generate the minimum unit time Δt based on the data density. For example, if 96 points of data within 24 hours are selected, the minimum unit time generated based on the data density is 15 minutes. Then use the historical data to predict the daily load electricity consumption curve and photovoltaic power generation curve. Specifically, short-term load forecasting can be performed using prediction methods such as neural network method, time series method, regression analysis method, support vector machine method, and fuzzy prediction method.

[0030] The following introduces the control methods for different time periods.

[0031] For period 1, a variable-power constant-power tracking method is adopted. The grid side uses the total grid power required in period 1, evenly distributed per unit time, as the average power, to dynamically charge the energy storage device to full capacity. When the total load power exceeds the average power, the energy storage device charging power is reduced by the same power difference. When the total load power is less than the average power, the energy storage device charging power is increased by the same power difference. The specific formula used is:

[0032]

[0033] Where t0 is the starting point of the strategy time, t1 is the total duration of period 1, P 1-av is the initial input average power in period 1, P user-1 (t) is the predicted power of user load in period 1, W sto1 is the total charge capacity of the energy storage device in period 1, n1 is the number of unit time in period 1, P sto1 (t) is the real-time charging power of the energy storage device.

[0034] For periods 2, 3, and 4, a composite stage constant power tracking method is adopted. After entering each period, the remaining power of the energy storage device is collected. The grid side of periods 2, 3, and 4 respectively uses the total grid power required in periods (2, 3, 4), (3, 4), and 4 to determine the initial average power value per unit time. The energy storage device discharges with dynamically adjusted capacity starting from period 2. The minimum reserve capacity is only used in the photovoltaic power cutoff gap until entering period 4. The photovoltaic power generation task is withdrawn, and the energy storage device no longer retains the minimum reserve capacity. It discharges with all the remaining power and completely releases the power before the end of period 4, and then enters Δt L Proceed to the next cycle.

[0035] Δt in periods 2 and 3 F1 The Δt of period 2 and period 3 is Δt F1In the case of load reduction in the period, the energy storage can reduce discharge and balance the power. When the energy storage is no longer discharged and the power balance is still not met, it can be discharged in the reverse direction, that is, forward charging, to track the situation where the average power of the grid is too high. Because the Δt H The first period is in the peak period, and the goal of period 4 is to release all the remaining power, so the two only adjust the discharge power without charging until the valley period starts charging. The specific formula is as follows:

[0036]

[0037] in,

[0038]

[0039]

[0040]

[0041] P sto-i (t) = P user-i (t)-P i-av (t)-[ε(i-3)-ε(i-4)]P PV (t)

[0042] Where, t i is the total duration of period i, P i-av is the initial input average power in period i, P user-i (t) is the predicted power of user load in time period i, W sto(i-1) is the total charge capacity of the energy storage device in time period (i-1), n i is the number of unit time in period i, P sto-i (t) is the real-time charging / discharging power of the energy storage device, P PV (t) is the real-time power generation of distributed photovoltaics in time period i, α is the minimum backup capacity coefficient, η is the photovoltaic energy storage configuration coefficient, and ε(x) is a step function.

[0043] To address the photovoltaic reverse power problem in period 3, a minimum forward charging strategy is added to period 3. Energy storage equipment is used to charge the photovoltaic power that is about to be reversed to prevent reverse power from being fed back to the grid. The specific formula is as follows:

[0044]

[0045] Where, P PV (t) is the power generation of distributed photovoltaic at time t, P user3 (t) is the power consumption at time t of the user load period 3, P min is the set minimum forward power value.

[0046] Figure 2This is a full-time specific flow chart of a method for loss reduction and absorption control of energy storage and distributed photovoltaics provided by an embodiment of the present invention. Figure 2 As shown in (a) and 2(b), the unit time begins. If it is in time period 1 or 4, the corresponding energy storage strategy is adopted according to the time period, the corresponding average power is calculated and the power difference is smoothed; if it is in time period 2 or 3, it is determined whether the energy storage power is greater than the minimum backup capacity. If it is greater than the minimum backup capacity, the same process is performed as in time periods 1 and 4. If it is less than the minimum backup capacity, the energy storage is stopped from discharging to ensure the fluctuation gap of photovoltaic power, and the average power is recalculated; then, the actual photovoltaic power generation and the actual power consumption of the user load are collected per unit time, the average power change actually transmitted on the grid side is monitored, the average power correction amount is calculated, and the average power is corrected; the above process is repeated in the next unit time until the end of the time period and the next time period begins.

[0047] To address power fluctuations in loads and generation fluctuations from a high proportion of distributed photovoltaics, a fluctuation suppression strategy using negative feedback and post-compensation compensation for power deviations is implemented. During each time period, the actual distributed photovoltaic power generation and user load power consumption per unit time are collected, the average power increment actually transmitted from the grid is monitored, and subsequent average power values are corrected by spreading the average power increment over the remaining time. This dynamic and stable average power improves the absorption capacity of distributed photovoltaics, ensures the gap in photovoltaic power fluctuations, prevents photovoltaic power backflow, reduces line losses caused by power transmission fluctuations, and achieves economical, stable, and low-loss system operation.

[0048] The negative feedback power deviation post-compensation fluctuation suppression strategy is specifically manifested as follows: when the actual power consumption of user loads and the actual power generation of distributed photovoltaics collected per unit time deviate from the predicted values for the same period, the total power deviation is calculated and regarded as the average power increment, which is spread evenly over each remaining unit time in this period. The overall grid-side power supply power is leveled to correct the average power, and then the above correction process is repeated in the next unit time. The specific formula is as follows:

[0049]

[0050]

[0051] P i-av '(t+Δt)=P i-av (t)+ΔP i-av

[0052] In the formula, ΔW av is the total deviation per unit time, that is, the average power increment, P user (t) is the power consumption of user load per unit time, P i-av'(t+Δt) is the average power input at the next unit time after correction, n left is the remaining unit time, t i-past is the time consumed in period i.

[0053] Figure 3 This is a schematic diagram of the system structure of an embodiment of the present invention, providing an energy storage-coordinated distributed photovoltaic loss reduction and absorption control system. The system structure primarily includes a distributed photovoltaic power generation device, an energy storage device and its power monitoring and regulation unit, a direct current / direct current (DC / DC) converter, a DC bus, a photovoltaic output power measurement element, a power correction element, user loads (including a DC / AC inverter), and a power grid.

[0054] In summary, the loss reduction and absorption control strategy for energy storage and distributed photovoltaics proposed in the present invention adopts the method of photovoltaics combined with energy storage, and uses energy storage to provide a dynamic and stable average power on the grid side. At the same time, feedback adjustment is performed on the real-time volatility of distributed photovoltaics and loads, ensuring that the fluctuation limit of the average power is within a controllable range as a whole, thereby reducing the line loss of power transmission. The application of the technical solution of the present invention in the embodiments can adapt to the peak regulation demand of new energy power generation, further strengthen the connection between energy storage and distributed power sources, give full play to the leverage effect of time-of-use electricity prices, guide users to reduce peaks and fill valleys, improve the power supply and demand structure, and accelerate the construction of a new power system with new energy as the main body.

[0055] The embodiment of the present invention provides a loss reduction and consumption control device for energy storage and distributed photovoltaic systems, comprising:

[0056] Photovoltaic and energy storage usage scenario division module: Based on the time-of-use electricity price scenario divided into three time periods: peak, flat and valley, the photovoltaic and energy storage usage scenarios are divided into four continuous time periods throughout the day in order of valley period Δt L , flat section Δt F1 , peak segment Δt H and flat section Δt F2 , photovoltaic power generation time Δt PV At Δt F1 to Δt H between the Δt L Defined as period 1, from Δt F1 Start to Δt PV The start is defined as period 2, Δt PV Defined as period 3, from Δt PV End to Δt F2 The end is defined as period 4;

[0057] Electricity price determination module: According to the division of photovoltaic and energy storage usage scenarios by the photovoltaic and energy storage usage scenario division module, the electricity price of a certain type of user in each period is determined, and the peak electricity price p is adopted.H , flat electricity price p F , off-peak electricity price p L , photovoltaic grid-connected electricity price p PV ;

[0058] Daily load power consumption curve and photovoltaic power generation curve calculation module: Based on the historical power consumption of user loads and the historical power generation data of distributed photovoltaics, the minimum unit time Δt is generated by data density, and the daily load power consumption curve and photovoltaic power generation curve are predicted using historical data;

[0059] Control module: Controls distributed photovoltaic power generation devices and energy storage equipment in each time period, realizes the coordinated work of distributed photovoltaic power generation devices and supporting energy storage equipment, and all distributed photovoltaic power generation in each time period is consumed locally; the capacity of the energy storage equipment consists of two parts: minimum backup capacity and dynamic adjustment capacity. The energy storage equipment only discharges to the grid during peak electricity price periods and only charges from the grid during off-peak electricity price periods, so that its electricity is fully charged in the off-peak period and fully released in the remaining period.

[0060] An embodiment of the present invention further provides an electronic device that may include a processor, a communication interface, a memory, and a communication bus 304. The processor, the communication interface, and the memory communicate with each other via the communication bus. The processor may invoke logic instructions in the memory to execute the loss reduction and absorption control method for energy storage-coordinated distributed photovoltaic systems, as proposed in the embodiment of the present invention.

[0061] In addition, the logical instructions in the above-mentioned memory can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of each embodiment of the present invention. The aforementioned 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), a random access memory (RAM), a magnetic disk or an optical disk.

[0062] An embodiment of the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it is implemented to perform the above-mentioned energy storage coordinated distributed photovoltaic loss reduction and absorption control method.

[0063] The above embodiments are only preferred specific implementation methods of the present invention, but the protection scope of the present invention is not limited thereto. The specific scenarios, conditions, and flow charts in the embodiments of the present invention are only elaborations of the core ideas, technical solutions, etc. of the present invention, so that people in the technical field of the present invention can understand them, but they do not limit the protection scope of the present invention. It should be emphasized that for any technical personnel in the field of the present invention, all modifications, equivalent replacements, non-creative improvements, etc. made within the spirit and technical scope disclosed by the present invention are covered by the protection scope of the claims of the present invention.

Claims

1. A loss reduction and consumption control method for energy storage in coordination with distributed photovoltaics, characterized by: include: Based on the time-of-use electricity price scenario divided into three time periods: peak, flat and valley, the photovoltaic and energy storage usage scenarios are divided into four continuous time periods throughout the day in order of valley , Pingduan , peak section Heping section , photovoltaic power generation time in arrive between; Defined as period 1, from Start to The start is defined as period 2, Defined as period 3, from End to The end is defined as period 4; some users adopt peak electricity price , flat electricity price , off-peak electricity prices , photovoltaic grid-connected electricity price ; Based on the historical power consumption of user loads and the historical power generation of distributed photovoltaics, the minimum unit time is generated by data density. , using historical data to predict daily load power consumption curve and photovoltaic power generation curve; Distributed photovoltaic power generation devices and supporting energy storage equipment work together, and all distributed photovoltaic power generation at each time period is consumed locally; The capacity of the energy storage device consists of two parts: minimum reserve capacity and dynamic adjustment capacity. The energy storage device only discharges to the grid during peak electricity price periods and only charges from the grid during off-peak electricity price periods. The energy storage device is fully charged during off-peak periods and fully discharged during the remaining periods. In response to the power fluctuations of the load and the power generation fluctuations of high-proportion distributed photovoltaics, a negative feedback power deviation post-compensation fluctuation suppression method is adopted to collect the actual power generation of distributed photovoltaics and the actual power consumption of user loads per unit time, monitor the average power change increment actually transmitted on the grid side, and correct the subsequent average power value by amortizing the average power increment within this unit time to all remaining time; the negative feedback power deviation post-compensation fluctuation suppression method is specifically as follows: when the actual power consumption of user loads and the actual power generation of distributed photovoltaics collected within a unit time deviate from the predicted values of the same time, the total electric energy deviation is calculated and the total deviation is regarded as the average power increment, which is amortized to each remaining unit time in this period, and the overall grid-side power supply power is leveled to correct the average power, and then the above correction process is repeated in the next unit time, calculated by the following formula: ， Where, is the total deviation per unit time, i.e. the average power increment, is the power consumption of user load per unit time, is the average power input at the beginning of the next unit time after correction, is the remaining unit time, For the period i The time elapsed.

2. The method for loss reduction and consumption control of energy storage and distributed photovoltaics according to claim 1, characterized in that: For the period 1, a variable power draw constant power tracking method is adopted. The grid side uses the total grid power required in period 1 to be evenly distributed per unit time as the average power, and dynamically charges the energy storage device to full capacity, which is calculated by the following formula: ， Where, is the starting point of the strategy time, is the total duration of period 1, is the initial input average power in period 1, Forecast power for user load in period 1, is the total charge capacity of the energy storage device in period 1, is the number of time units in a time period, Real-time charging power for energy storage devices.

3. The method for loss reduction and consumption control of energy storage and distributed photovoltaics according to claim 1, characterized in that: A composite stage constant power tracking method is adopted for the time periods 2, 3, and 4. After entering each time period, the remaining power of the energy storage device is collected. The grid side of time periods 2, 3, and 4 respectively uses the total grid power required in time periods (2, 3, 4), (3, 4), and 4 to determine the initial average power value per unit time; the energy storage device discharges with dynamically adjusted capacity starting from time period 2, and the minimum reserve capacity is only used in the photovoltaic power cut-off gap until entering time period 4, when photovoltaic power generation tasks are withdrawn. The energy storage device no longer retains the minimum reserve capacity and discharges with all the remaining power, and the power is completely released before the end of time period 4; time periods 2 and 3 The period has a negative discharge characteristic to track the situation where the average power exceeds the total load. The first and second periods only adjust the discharge power, which is calculated by the following formula: ， For the period i Total duration, For the period i Initial input average power, For the period i User load forecast power, For the period ( i -1) Total charge capacity of energy storage equipment, For the period i Unit time number, Real-time charging / discharging power of energy storage equipment, For the period Distributed photovoltaic real-time power generation, is the minimum reserve capacity factor, is the photovoltaic energy storage configuration coefficient, is a step function.

4. The method for loss reduction and consumption control of energy storage and distributed photovoltaics according to claim 3, characterized in that: To address the photovoltaic reverse power problem in period 3, a minimum forward charging method is added to period 3. Energy storage equipment is used to charge the photovoltaic power that is about to be reversed to prevent reverse power from being fed back to the grid. The calculation is based on the following formula: ， Where, is the power generated by distributed photovoltaic at time t, is the power consumption at time t of the user's load period 3, is the set minimum forward power value.

5. The method for loss reduction and consumption control of energy storage and distributed photovoltaics according to claim 1, characterized in that: The energy storage device capacity consists of two parts: minimum reserve capacity and dynamic adjustment capacity, which can be expressed as follows: ， Where, Plan the total charging capacity of the energy storage device for period 1, is the minimum spare capacity, is the photovoltaic energy storage configuration coefficient, To dynamically adjust capacity.

6. A loss reduction and consumption control device for energy storage and distributed photovoltaics, comprising: Photovoltaic and energy storage usage scenario division module: Based on the time-of-use electricity price scenario divided into three time periods: peak, flat and valley, the photovoltaic and energy storage usage scenarios are divided into four continuous time periods throughout the day and valley periods in order. , Pingduan , peak section Heping section , photovoltaic power generation time in arrive between; Defined as period 1, from Start to The start is defined as period 2, Defined as period 3, from End to The end is defined as period 4; Electricity price determination module: According to the division of photovoltaic and energy storage usage scenarios by the photovoltaic and energy storage usage scenario division module, the electricity price of a certain type of user in each period is determined, and the peak electricity price is adopted. , flat electricity price , off-peak electricity prices , photovoltaic grid-connected electricity price ; Daily load power consumption curve and photovoltaic power generation curve calculation module: Based on the historical power consumption of user loads and the historical power generation of distributed photovoltaics, the minimum unit time is generated by the data density. , using historical data to predict daily load power consumption curve and photovoltaic power generation curve; Control module: Controls distributed photovoltaic power generation devices and energy storage equipment at each time period, enabling coordinated operation of distributed photovoltaic power generation devices and supporting energy storage equipment. All distributed photovoltaic power generation at each time period is consumed locally. The energy storage equipment capacity consists of two parts: minimum backup capacity and dynamic adjustment capacity. The energy storage equipment only discharges to the grid during peak electricity price periods and only charges from the grid during off-peak electricity price periods. This allows the energy to be fully charged during off-peak periods and fully discharged during the remaining periods. In response to the power fluctuations of the load and the power generation fluctuations of high-proportion distributed photovoltaics, a negative feedback power deviation post-compensation fluctuation suppression method is adopted to collect the actual power generation of distributed photovoltaics and the actual power consumption of user loads per unit time, monitor the average power change increment actually transmitted on the grid side, and correct the subsequent average power value by amortizing the average power increment within this unit time to all remaining time; the negative feedback power deviation post-compensation fluctuation suppression method is specifically as follows: when the actual power consumption of user loads and the actual power generation of distributed photovoltaics collected within a unit time deviate from the predicted values of the same time, the total electric energy deviation is calculated and the total deviation is regarded as the average power increment, which is amortized to each remaining unit time in this period, and the overall grid-side power supply power is leveled to correct the average power, and then the above correction process is repeated in the next unit time, calculated by the following formula: ， Where, is the total deviation per unit time, i.e. the average power increment, is the power consumption of user load per unit time, is the average power input at the beginning of the next unit time after correction, is the remaining unit time, For the period i The time elapsed.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, it implements a loss reduction and absorption control method for energy storage coordinated with distributed photovoltaics as described in any one of claims 1-5.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements a loss reduction and absorption control method for energy storage coordinated with distributed photovoltaics as described in any one of claims 1 to 5.

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