Direct current side energy storage control method and system

Abstract

The invention discloses a direct current side energy storage control method and system, and relates to the technical field of direct current side energy storage management and control, and the specific technical scheme comprises the steps: analyzing a power generation log of a photovoltaic power generation system, and constructing a power generation power output change model of the photovoltaic power generation system, and generating photovoltaic power generation characteristics in a future preset time period through the power generation power output change model, and performing evaluation analysis on the combination of each primary charging and discharging strategy and the photovoltaic power generation characteristics according to an evaluation rule of previous power supply quality evaluation to obtain future power supply quality evaluation. Determining a selected primary charging and discharging strategy according to future quality evaluation, determining the selected primary charging and discharging strategy as a preferred charging and discharging strategy, and screening the primary charging strategies through future power supply quality evaluation of the photovoltaic power generation system and the energy storage system; and a preferable charging and discharging strategy which more reasonably adapts to the power utilization demand of the power grid is provided.

Description

Technical Field

[0001] The present invention relates to the technical field of DC side energy storage control, and in particular to a DC side energy storage control method and system. Background Art

[0002] Photovoltaic power generation systems use the energy of solar photons to convert sunlight into DC electricity through photovoltaic cells. These systems usually consist of multiple photovoltaic panels (solar panels) that convert solar energy into electrical energy, and then convert DC electricity into AC electricity through inverters to supply household, commercial and industrial electrical equipment. Photovoltaic power generation is a clean, renewable source of energy that helps reduce greenhouse gas emissions and fossil fuel use. Energy storage systems are used to store and release electrical energy to provide backup power or balance grid loads when needed. These systems can include battery energy storage, supercapacitors, hydrogen storage systems, etc. In photovoltaic power generation systems, energy storage systems can be used to store excess solar power and supply power at night or on cloudy days, or release power when the grid needs it to relieve peak load pressure or provide emergency backup power.

[0003] For the energy storage system, it is necessary not only to consider the timely provision of electricity to the grid, but also to consider the more urgent electricity demand in the future. Therefore, the charging arrangement between itself and the photovoltaic power generation system and the power supply arrangement between itself and the grid need to be more reasonably coordinated. Therefore, there is an urgent need for a DC side energy storage control method that can more reasonably adapt to the power demand of the grid. Summary of the invention

[0004] The object of the present invention is to provide a DC side energy storage control method and system that can more reasonably adapt to the power demand of the power grid.

[0005] The present application discloses a DC side energy storage control method, comprising:

[0006] Combined with influencing factors such as time influencing factors, light influencing factors and equipment condition factors, the power generation log of the photovoltaic power generation system is analyzed to build a power output change model of the photovoltaic power generation system. The power output change model is used to generate photovoltaic power generation characteristics for a preset time period in the future.

[0007] Analyze the grid demand log to determine the power demand for the photovoltaic power generation system and the energy storage system at different time points, and make a past power supply quality assessment of the grid based on the past power supply conditions of the photovoltaic power generation system and the energy storage system;

[0008] Obtain the current time node, determine the charge and discharge strategy of the corresponding time node in the charge and discharge log, and dynamically adjust the charge and discharge strategy several times to generate several primary charge and discharge strategies;

[0009] According to the evaluation rules of past power supply quality evaluation, each combination of primary charging and discharging strategy and photovoltaic power generation characteristics is evaluated and analyzed to obtain the future power supply quality evaluation, and the selected primary charging and discharging strategy is determined based on the future quality evaluation, and the selected primary charging and discharging strategy is identified as the preferred charging and discharging strategy.

[0010] In some embodiments of the present application, a method for constructing a power output variation model of a photovoltaic power generation system includes:

[0011] For the power generation log of the photovoltaic power generation system, a time reference line is constructed, and the time reference nodes corresponding to the time reference line are marked according to the power generation power at different time nodes in the power generation log of the photovoltaic power generation system;

[0012] Obtain historical lighting data, determine the lighting characteristics of different time nodes, and mark the corresponding time reference nodes on the time reference line;

[0013] According to the impact of different equipment abnormalities on power generation, an equipment abnormality impact function is constructed, and based on the equipment abnormality impact function;

[0014] The power generation output variation model is constructed by using the reference timeline annotated with power generation and light characteristics and the equipment abnormality impact function.

[0015] In some embodiments of the present application, a method for generating photovoltaic power generation characteristics for a preset time period in the future by using a power generation output variation model includes:

[0016] The current time node, the current lighting characteristics and the lighting characteristics of the preset time period before the current time node are obtained, and the current time node, the current lighting characteristics and the lighting characteristics of the preset time period before the current time node are judged to be equivalent on the time reference line. For the time reference node on the time reference line that meets the preset equivalent judgment standard, the photovoltaic power generation characteristics of the preset time length thereafter are extracted.

[0017] In some embodiments of the present application, a method for determining the equivalence of a current time node, a current illumination feature, and an illumination feature of a preset time period before the current time node on a time reference line includes:

[0018] Calculate the time difference between the current time node and the time reference node on the time reference line, and determine the first degree of equality based on the time difference;

[0019] Calculate the illumination difference between the current illumination feature and the illumination feature of the preset time period before the current time node and the illumination feature corresponding to the time reference node on the time reference line, and determine the second equality based on the illumination difference;

[0020] If both the first equality degree and the second equality degree are greater than the preset value, it is determined that the time reference node on the time reference line satisfies the equality judgment.

[0021] In some embodiments of the present application, based on the past power supply conditions of the photovoltaic power generation system and the energy storage system, the method for evaluating the past power supply quality of the power grid power supply includes:

[0022] Analyze past electricity demand to determine past electricity demand within a preset time period;

[0023] Analyze the past power supply conditions of the photovoltaic power generation system to determine the first photovoltaic power supply condition of the photovoltaic power generation system within a preset time period;

[0024] Analyze the past power supply conditions of the energy storage system to determine the first energy storage power supply condition of the energy storage system within a preset time period;

[0025] Analyze the past power storage conditions of the energy storage system to determine the first energy storage condition of the energy storage system within a preset time period;

[0026] Based on the joint analysis of the power supply output evaluation and energy storage status evaluation of the energy storage system, a first energy storage power supply quality evaluation operator is constructed for the first energy storage power supply situation of the energy storage system;

[0027] Based on a first photovoltaic power supply condition of the photovoltaic power generation system, a first photovoltaic power supply quality evaluation operator is constructed;

[0028] Based on the first energy storage power supply quality evaluation operator and the first photovoltaic power supply quality evaluation operator, a past power supply quality evaluation is obtained.

[0029] In some embodiments of the present application, the expression for calculating the past power supply quality assessment is:

[0030]

[0031] Among them, p 1Δt k is the past power supply quality assessment within the preset time period of Δt, 1i is the conversion coefficient for the ith photovoltaic power supply quality assessment, w g is the first photovoltaic power supply situation, w x is the power demand of the grid, k 2i is the conversion coefficient for the i-th energy storage power supply quality assessment, w c is the first energy storage power supply situation, k3 is the energy storage state normalization conversion coefficient, and p3 is the energy storage state evaluation;

[0032] Among them, the i-th photovoltaic power supply quality assessment conversion coefficient k 1i according to The preset value interval to which it belongs is determined, and the i-th energy storage power supply quality assessment conversion coefficient k2i according to The energy storage state evaluation p3 is determined according to the difference between the actual energy storage capacity of the energy storage system and the preset minimum reserve energy storage capacity.

[0033] In some embodiments of the present application, the charging and discharging strategy includes:

[0034] Calling the photovoltaic power generation system to charge the energy storage system within a preset time period;

[0035] The amount of power supplied by the energy storage system to the grid during a preset time period.

[0036] In some embodiments disclosed in the present application, a DC side energy storage control system is also disclosed, including:

[0037] The first module is used to analyze the power generation log of the photovoltaic power generation system by combining the influencing factors such as time influencing factors, light influencing factors and equipment condition factors, to build a power generation output variation model of the photovoltaic power generation system, and to generate photovoltaic power generation characteristics for a preset time period in the future from the power generation output variation model;

[0038] The second module is used to analyze the grid demand log, determine the power demand for the photovoltaic power generation system and the energy storage system at different time points, and make a past power supply quality assessment of the grid based on the past power supply conditions of the photovoltaic power generation system and the energy storage system;

[0039] The third module is used to obtain the current time node, determine the charge and discharge strategy of the corresponding time node in the charge and discharge log, and dynamically adjust the charge and discharge strategy several times to generate several primary charge and discharge strategies;

[0040] The fourth module is used to evaluate and analyze each combination of primary charging and discharging strategy and photovoltaic power generation characteristics according to the evaluation rules of past power supply quality evaluation, obtain future power supply quality evaluation, and determine the selected primary charging and discharging strategy based on the future quality evaluation, and identify the selected primary charging and discharging strategy as the preferred charging and discharging strategy.

[0041] In some embodiments of the present application, the method for constructing a power output variation model of a photovoltaic power generation system in the first module includes:

[0042] For the power generation log of the photovoltaic power generation system, a time reference line is constructed, and the time reference nodes corresponding to the time reference line are marked according to the power generation power at different time nodes in the power generation log of the photovoltaic power generation system;

[0043] Obtain historical lighting data, determine the lighting characteristics of different time nodes, and mark the corresponding time reference nodes on the time reference line;

[0044] According to the impact of different equipment abnormalities on power generation, an equipment abnormality impact function is constructed, and based on the equipment abnormality impact function;

[0045] The power generation output variation model is constructed by using the reference timeline annotated with power generation and light characteristics and the equipment abnormality impact function.

[0046] In some embodiments of the present application, the method for the first module to generate photovoltaic power generation characteristics for a future preset time period includes:

[0047] The current time node, the current lighting characteristics and the lighting characteristics of the preset time period before the current time node are obtained, and the current time node, the current lighting characteristics and the lighting characteristics of the preset time period before the current time node are judged to be equivalent on the time reference line. For the time reference node on the time reference line that meets the preset equivalent judgment standard, the photovoltaic power generation characteristics of the preset time length thereafter are extracted.

[0048] A DC side energy storage control method and system disclosed in the present application relates to the field of DC side energy storage control technology. The specific disclosed technical solution includes analyzing the power generation log of a photovoltaic power generation system, constructing a power output change model of the photovoltaic power generation system, and generating photovoltaic power generation characteristics for a preset time period in the future from the power output change model. According to the evaluation rules of past power supply quality evaluation, each combination of primary charging and discharging strategy and photovoltaic power generation characteristics is evaluated and analyzed to obtain a future power supply quality evaluation, and the selected primary charging and discharging strategy is determined according to the future quality evaluation, and the selected primary charging and discharging strategy is identified as a preferred charging and discharging strategy. By evaluating the future power supply quality of the photovoltaic power generation system and the energy storage system, the primary charging strategy is screened to provide a preferred charging and discharging strategy that is more reasonably adapted to the power demand of the power grid.

[0049] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a method step diagram of a DC side energy storage control method in an embodiment of the present application. DETAILED DESCRIPTION

[0051] The technical solution of the present invention is further described below through the accompanying drawings and embodiments.

[0052] The following will be combined with the accompanying drawings and specific embodiments to clearly and completely describe the technical solution of the present invention. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and cannot be understood as limiting the scope of protection of the present invention. Those skilled in the art in this field can make some non-essential improvements and adjustments based on the content of the present invention described below. In the present invention, unless otherwise clearly specified and limited, the technical terms used in this application should be the common meanings understood by the technical personnel of the present invention.

[0053] Example:

[0054] Photovoltaic power generation systems use the energy of solar photons to convert sunlight into DC electricity through photovoltaic cells. These systems usually consist of multiple photovoltaic panels (solar panels) that convert solar energy into electrical energy, and then use inverters to convert DC electricity into AC electricity to supply household, commercial and industrial electrical equipment. Photovoltaic power generation is a clean, renewable source of energy that helps reduce greenhouse gas emissions and the use of fossil fuels.

[0055] Energy storage systems are used to store and release electrical energy to provide backup power or balance grid load when needed. These systems can include battery storage, supercapacitors, hydrogen storage systems, etc. In photovoltaic power generation systems, energy storage systems can be used to store excess solar power and supply power at night or on cloudy days, or release power when the grid needs it to relieve peak load pressure or provide emergency backup power.

[0056] Combining photovoltaic power generation systems with energy storage systems can achieve more efficient energy management and utilization. Photovoltaic power generation systems can collect solar energy through photovoltaic panels and store excess electricity in energy storage systems. Energy storage systems can release stored electricity at night, in rainy weather or during peak loads to meet load demands, reduce grid pressure, and even maintain the independent operation of microgrids.

[0057] For the energy storage system, it is necessary not only to consider the timely provision of electricity to the grid, but also to consider the more urgent electricity demand in the future. Therefore, the charging arrangement between itself and the photovoltaic power generation system and the power supply arrangement between itself and the grid need to be more reasonably coordinated. Therefore, there is an urgent need for a DC side energy storage control method that can more reasonably adapt to the power demand of the grid.

[0058] The object of the present invention is to provide a DC side energy storage control method and system that can more reasonably adapt to the power demand of the power grid.

[0059] This application discloses a DC side energy storage control method, see Figure 1 ,include:

[0060] Step S100, combining the influencing factors such as time influencing factor, light influencing factor and equipment condition factor, analyzing the power generation log of the photovoltaic power generation system, constructing the power output variation model of the photovoltaic power generation system, and generating the photovoltaic power generation characteristics of the future preset time period by the power output variation model.

[0061] Step S200, analyzing the grid demand log, determining the power demand for the photovoltaic power generation system and the energy storage system at different time nodes, and making a past power supply quality assessment of the grid power supply based on the past power supply conditions of the photovoltaic power generation system and the energy storage system.

[0062] Step S300, obtaining the current time node, and determining the charge and discharge strategy of the corresponding time node in the charge and discharge log, and dynamically adjusting the charge and discharge strategy several times to generate several primary charge and discharge strategies.

[0063] Step S400, evaluate and analyze each combination of primary charge and discharge strategy and photovoltaic power generation characteristics according to the evaluation rules of past power supply quality evaluation, obtain future power supply quality evaluation, and determine the selected primary charge and discharge strategy according to the future quality evaluation, and identify the selected primary charge and discharge strategy as the preferred charge and discharge strategy.

[0064] In some embodiments of the present application, a method for constructing a power output variation model of a photovoltaic power generation system includes:

[0065] The first step is to construct a time reference line for the power generation log of the photovoltaic power generation system, and mark the time reference nodes corresponding to the time reference line according to the power generation power at different time nodes in the power generation log of the photovoltaic power generation system.

[0066] The second step is to obtain historical lighting data, determine the lighting characteristics of different time nodes, and mark the corresponding time reference nodes on the time reference line.

[0067] Among them, illumination characteristics refer to the performance and changes of sunlight under specific conditions at different times and places. Illumination characteristics are important factors affecting solar energy utilization, photovoltaic power generation and other light energy applications. The following are some key aspects that illumination characteristics may include: Light intensity: Light intensity is the energy flow of sunlight per unit area, usually measured in lux. Light intensity can affect human vision and indoor lighting needs. Solar radiation: Solar radiation refers to the energy emitted from the sun to the earth. It includes visible light, ultraviolet light and infrared radiation. The intensity of solar radiation depends on the solar altitude angle, atmospheric conditions and geographical location. Solar altitude angle: The solar altitude angle refers to the angle between the sun's rays and the horizon. It changes with the change of sunrise and sunset time, which has an important impact on solar energy collection and utilization. Illumination time and sunshine hours: Illumination time refers to the period of time when the sun appears in the sky, and sunshine hours are the length of time that the sun shines on the ground in a day. This is important for estimating the amount of solar energy available each day. Spectral distribution: The spectrum of sunlight includes light of different wavelengths, from ultraviolet light to visible light and infrared light. Different spectral distributions have an important impact on solar energy collection and utilization for different applications.

[0068] The second step is to construct an equipment abnormality impact function based on the impact of different equipment abnormalities on the power generation power, and based on the equipment abnormality impact function.

[0069] It is important to understand that abnormal conditions in the equipment of a photovoltaic power generation system may affect the power generation of the system and reduce the efficiency and reliability of the system. The following are some common abnormal conditions in the equipment of a photovoltaic power generation system and their possible impact on the power generation: (1) Dirt and dust, impact: Dirt and dust will reduce the light transmittance of the photovoltaic panels, resulting in reduced light transmission, which in turn reduces the power generation efficiency of the battery. (2) Shadow shading, impact: Shadow shading will cause some battery cells to lose light, reducing the power generation efficiency of this part of the battery panel, and may even cause battery damage. (3) Battery cell failure, impact: Battery cell failure, such as short circuit or open circuit, may cause the power generation of the entire battery panel string to decrease. (4) Inverter problems, impact: Inverter failure may cause the power generation system to be unable to convert DC power into AC power, causing the entire system to stop generating power. (5) Cable and connector failure, impact: Cable failure or poor connector may cause power transmission loss, affecting the power generation efficiency of the system. (6) Energy storage system abnormality, impact: Energy storage system failure or energy management problems may cause energy storage efficiency to decrease, and optimal power generation and energy storage regulation cannot be achieved. (7) Aging of photovoltaic panels, impact: Over time, the aging of photovoltaic panels will cause their power generation efficiency to gradually decrease, thereby affecting the overall power generation of the system. (8) Environmental factors, impact: Environmental factors such as high temperature, cold, and humidity may affect the performance of the panels and reduce their power generation.

[0070] The third step is to construct a power generation output change model based on the reference timeline annotated with power generation and light characteristics and the equipment abnormality impact function.

[0071] In some embodiments of the present application, a method for generating photovoltaic power generation characteristics for a preset time period in the future by a power generation output change model includes: obtaining a current time node, current illumination characteristics, and illumination characteristics for a preset time period before the current time node, performing an equivalence judgment on the current time node, current illumination characteristics, and illumination characteristics for a preset time period before the current time node on a time reference line, and for a time reference node on the time reference line that meets the preset equivalence judgment criteria, extracting the photovoltaic power generation characteristics for a preset time length thereafter.

[0072] In some embodiments of the present application, a method for determining the equivalence of a current time node, a current illumination feature, and an illumination feature of a preset time period before the current time node on a time reference line includes:

[0073] In the first step, the time difference between the current time node and the time reference node on the time reference line is calculated, and a first degree of equality is determined based on the time difference.

[0074] The second step is to calculate the illumination difference between the current illumination feature and the illumination feature of the preset time period before the current time node and the illumination feature corresponding to the time reference node on the time reference line, and determine the second degree of equality based on the illumination difference;

[0075] If both the first equality degree and the second equality degree are greater than the preset value, it is determined that the time reference node on the time reference line satisfies the equality judgment.

[0076] In some embodiments of the present application, based on the past power supply conditions of the photovoltaic power generation system and the energy storage system, the method for evaluating the past power supply quality of the power grid power supply includes:

[0077] Analyze past electricity demand to determine past electricity demand within a preset time period;

[0078] Analyze the past power supply conditions of the photovoltaic power generation system to determine the first photovoltaic power supply condition of the photovoltaic power generation system within a preset time period;

[0079] Analyze the past power supply conditions of the energy storage system to determine the first energy storage power supply condition of the energy storage system within a preset time period;

[0080] Analyze the past power storage conditions of the energy storage system to determine the first energy storage condition of the energy storage system within a preset time period;

[0081] Based on the joint analysis of the power supply output evaluation and energy storage status evaluation of the energy storage system, a first energy storage power supply quality evaluation operator is constructed for the first energy storage power supply situation of the energy storage system;

[0082] Based on a first photovoltaic power supply condition of the photovoltaic power generation system, a first photovoltaic power supply quality evaluation operator is constructed;

[0083] Based on the first energy storage power supply quality evaluation operator and the first photovoltaic power supply quality evaluation operator, a past power supply quality evaluation is obtained.

[0084] In some embodiments of the present application, the expression for calculating the past power supply quality assessment is:

[0085]

[0086] Among them, p 1Δt k is the past power supply quality assessment within the preset time period of Δt, 1i is the conversion coefficient for the ith photovoltaic power supply quality assessment, w g is the first photovoltaic power supply situation, w x is the power demand of the grid, k 2i is the conversion coefficient for the i-th energy storage power supply quality assessment, w c is the first energy storage power supply situation, k3 is the energy storage state normalization conversion coefficient, and p3 is the energy storage state evaluation;

[0087] Among them, the i-th photovoltaic power supply quality assessment conversion coefficient k 1i according to The preset value interval to which it belongs is determined, and the i-th energy storage power supply quality assessment conversion coefficient k 2i according to The energy storage state evaluation p3 is determined according to the difference between the actual energy storage capacity of the energy storage system and the preset minimum reserve energy storage capacity.

[0088] In some embodiments of the present application, the charging and discharging strategy includes: calling the photovoltaic power generation system to charge the energy storage system within a preset time period; and the power supply of the energy storage system to the power grid within a preset time period.

[0089] In some embodiments disclosed in the present application, a DC side energy storage control system is also disclosed, including:

[0090] The first module is used to analyze the power generation log of the photovoltaic power generation system by combining influencing factors such as time influencing factors, light influencing factors and equipment condition factors, to construct a power generation output change model of the photovoltaic power generation system, and to generate photovoltaic power generation characteristics for a preset time period in the future from the power generation output change model.

[0091] The second module is used to analyze the grid demand log, determine the power demand for the photovoltaic power generation system and the energy storage system at different time nodes, and make a past power supply quality assessment of the grid based on the past power supply conditions of the photovoltaic power generation system and the energy storage system.

[0092] The third module is used to obtain the current time node, determine the charge and discharge strategy of the corresponding time node in the charge and discharge log, and dynamically adjust the charge and discharge strategy several times to generate several primary charge and discharge strategies.

[0093] The fourth module is used to evaluate and analyze each combination of primary charging and discharging strategy and photovoltaic power generation characteristics according to the evaluation rules of past power supply quality evaluation, obtain future power supply quality evaluation, and determine the selected primary charging and discharging strategy based on the future quality evaluation, and identify the selected primary charging and discharging strategy as the preferred charging and discharging strategy.

[0094] In some embodiments of the present application, the method for constructing a power output variation model of a photovoltaic power generation system in the first module includes:

[0095] The first step is to construct a time reference line for the power generation log of the photovoltaic power generation system, and mark the time reference nodes corresponding to the time reference line according to the power generation power at different time nodes in the power generation log of the photovoltaic power generation system.

[0096] The second step is to obtain historical lighting data, determine the lighting characteristics of different time nodes, and mark the corresponding time reference nodes on the time reference line.

[0097] The third step is to construct the equipment abnormality impact function according to the impact of different equipment abnormalities on the power generation power, and based on the equipment abnormality impact function.

[0098] The fourth step is to construct a power generation output change model based on the reference timeline annotated with power generation and light characteristics and the equipment abnormality impact function.

[0099] In some embodiments of the present application, the method for the first module to generate photovoltaic power generation characteristics for a future preset time period includes:

[0100] The current time node, the current lighting characteristics and the lighting characteristics of the preset time period before the current time node are obtained, and the current time node, the current lighting characteristics and the lighting characteristics of the preset time period before the current time node are judged to be equivalent on the time reference line. For the time reference node on the time reference line that meets the preset equivalent judgment standard, the photovoltaic power generation characteristics of the preset time length thereafter are extracted.

[0101] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present invention can be implemented by hardware, or by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present invention.

[0102] A DC side energy storage control method and system disclosed in the present application relates to the field of DC side energy storage control technology. The specific disclosed technical solution includes analyzing the power generation log of a photovoltaic power generation system, constructing a power output change model of the photovoltaic power generation system, and generating photovoltaic power generation characteristics for a preset time period in the future from the power output change model. According to the evaluation rules of past power supply quality evaluation, each combination of primary charging and discharging strategy and photovoltaic power generation characteristics is evaluated and analyzed to obtain a future power supply quality evaluation, and the selected primary charging and discharging strategy is determined according to the future quality evaluation, and the selected primary charging and discharging strategy is identified as a preferred charging and discharging strategy. By evaluating the future power supply quality of the photovoltaic power generation system and the energy storage system, the primary charging strategy is screened to provide a preferred charging and discharging strategy that is more reasonably adapted to the power demand of the power grid.

[0103] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution 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 they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. A DC side energy storage control method, characterized in that: include: Combined with influencing factors such as time influencing factors, light influencing factors and equipment condition factors, the power generation log of the photovoltaic power generation system is analyzed to build a power output change model of the photovoltaic power generation system. The power output change model is used to generate photovoltaic power generation characteristics for a preset time period in the future. Analyze the grid demand log to determine the power demand for the photovoltaic power generation system and the energy storage system at different time points, and make a past power supply quality assessment of the grid based on the past power supply conditions of the photovoltaic power generation system and the energy storage system; Obtain the current time node, determine the charge and discharge strategy of the corresponding time node in the charge and discharge log, and dynamically adjust the charge and discharge strategy several times to generate several primary charge and discharge strategies; According to the evaluation rules of past power supply quality evaluation, each combination of primary charging and discharging strategy and photovoltaic power generation characteristics is evaluated and analyzed to obtain the future power supply quality evaluation, and the selected primary charging and discharging strategy is determined based on the future quality evaluation, and the selected primary charging and discharging strategy is identified as the preferred charging and discharging strategy.

2. A DC side energy storage control method according to claim 1, characterized in that: The method of constructing a power output variation model of a photovoltaic power generation system includes: For the power generation log of the photovoltaic power generation system, a time reference line is constructed, and the time reference nodes corresponding to the time reference line are marked according to the power generation power at different time nodes in the power generation log of the photovoltaic power generation system; Obtain historical lighting data, determine the lighting characteristics of different time nodes, and mark the corresponding time reference nodes on the time reference line; According to the impact of different equipment abnormalities on power generation, an equipment abnormality impact function is constructed, and based on the equipment abnormality impact function; The power generation output variation model is constructed by using the reference timeline annotated with power generation and light characteristics and the equipment abnormality impact function.

3. A DC side energy storage control method according to claim 2, characterized in that: The method for generating photovoltaic power generation characteristics for a preset time period in the future by using a power generation output variation model includes: The current time node, the current lighting characteristics and the lighting characteristics of the preset time period before the current time node are obtained, and the current time node, the current lighting characteristics and the lighting characteristics of the preset time period before the current time node are judged to be equivalent on the time reference line. For the time reference node on the time reference line that meets the preset equivalent judgment standard, the photovoltaic power generation characteristics of the preset time length thereafter are extracted.

4. A DC side energy storage control method according to claim 3, characterized in that: The method for determining the equivalence of the current time node, the current illumination feature, and the illumination feature of a preset time period before the current time node on a time reference line includes: Calculate the time difference between the current time node and the time reference node on the time reference line, and determine the first degree of equality based on the time difference; Calculate the illumination difference between the current illumination feature and the illumination feature of the preset time period before the current time node and the illumination feature corresponding to the time reference node on the time reference line, and determine the second equality based on the illumination difference; If both the first equality degree and the second equality degree are greater than the preset value, it is determined that the time reference node on the time reference line satisfies the equality judgment.

5. A DC side energy storage control method according to claim 1, characterized in that: Based on the past power supply conditions of the photovoltaic power generation system and the energy storage system, the methods for evaluating the past power supply quality of the power grid include: Analyze past electricity demand to determine past electricity demand within a preset time period; Analyze the past power supply conditions of the photovoltaic power generation system to determine the first photovoltaic power supply condition of the photovoltaic power generation system within a preset time period; Analyze the past power supply conditions of the energy storage system to determine the first energy storage power supply condition of the energy storage system within a preset time period; Analyze the past power storage conditions of the energy storage system to determine the first energy storage condition of the energy storage system within a preset time period; Based on the joint analysis of the power supply output evaluation and energy storage status evaluation of the energy storage system, a first energy storage power supply quality evaluation operator is constructed for the first energy storage power supply situation of the energy storage system; Based on a first photovoltaic power supply condition of the photovoltaic power generation system, a first photovoltaic power supply quality evaluation operator is constructed; Based on the first energy storage power supply quality evaluation operator and the first photovoltaic power supply quality evaluation operator, a past power supply quality evaluation is obtained.

6. A DC side energy storage control method according to claim 5, characterized in that: The expression for calculating the past power supply quality assessment is: Among them, p 1Δt k is the past power supply quality assessment within the preset time period of Δt, 1i is the conversion coefficient for the ith photovoltaic power supply quality assessment, w g is the first photovoltaic power supply situation, w x is the power demand of the grid, k 2i is the conversion coefficient for the i-th energy storage power supply quality assessment, w c is the first energy storage power supply situation, k3 is the energy storage state normalization conversion coefficient, and p3 is the energy storage state evaluation; Among them, the i-th photovoltaic power supply quality assessment conversion coefficient k 1i according to The preset value interval is determined, and the i-th energy storage power supply quality assessment conversion coefficient k 2i according to The energy storage state evaluation p3 is determined according to the difference between the actual energy storage capacity of the energy storage system and the preset minimum reserve energy storage capacity.

7. A DC side energy storage control method according to claim 1, characterized in that: The charging and discharging strategy includes: Calling the photovoltaic power generation system to charge the energy storage system within a preset time period; The amount of power supplied by the energy storage system to the grid during a preset time period.

8. A DC side energy storage control system, characterized in that: include: The first module is used to analyze the power generation log of the photovoltaic power generation system by combining the influencing factors such as time influencing factors, light influencing factors and equipment condition factors, to build a power generation output variation model of the photovoltaic power generation system, and to generate photovoltaic power generation characteristics for a preset time period in the future from the power generation output variation model; The second module is used to analyze the grid demand log, determine the power demand for the photovoltaic power generation system and the energy storage system at different time points, and make a past power supply quality assessment of the grid based on the past power supply conditions of the photovoltaic power generation system and the energy storage system; The third module is used to obtain the current time node, determine the charge and discharge strategy of the corresponding time node in the charge and discharge log, and dynamically adjust the charge and discharge strategy several times to generate several primary charge and discharge strategies; The fourth module is used to evaluate and analyze each combination of primary charging and discharging strategy and photovoltaic power generation characteristics according to the evaluation rules of past power supply quality evaluation, obtain future power supply quality evaluation, and determine the selected primary charging and discharging strategy based on the future quality evaluation, and identify the selected primary charging and discharging strategy as the preferred charging and discharging strategy.

9. A DC side energy storage control system according to claim 8, characterized in that: The method for constructing a power output variation model of a photovoltaic power generation system in the first module includes: For the power generation log of the photovoltaic power generation system, a time reference line is constructed, and the time reference nodes corresponding to the time reference line are marked according to the power generation power at different time nodes in the power generation log of the photovoltaic power generation system; Obtain historical lighting data, determine the lighting characteristics of different time nodes, and mark the corresponding time reference nodes on the time reference line; According to the impact of different equipment abnormalities on power generation, an equipment abnormality impact function is constructed, and based on the equipment abnormality impact function; The power generation output variation model is constructed by using the reference timeline annotated with power generation and light characteristics and the equipment abnormality impact function.

10. A DC side energy storage control system according to claim 9, characterized in that: The method for generating photovoltaic power generation characteristics in a future preset time period by the first module includes: The current time node, the current lighting characteristics and the lighting characteristics of the preset time period before the current time node are obtained, and the current time node, the current lighting characteristics and the lighting characteristics of the preset time period before the current time node are judged to be equivalent on the time reference line. For the time reference node on the time reference line that meets the preset equivalent judgment standard, the photovoltaic power generation characteristics of the preset time length thereafter are extracted.

Images