An energy-saving storage system for new energy electricity

Abstract

The present invention relates to the field of electric energy storage technology, and in particular to an energy-saving storage system for new energy electric power, comprising an energy collection module, an electric energy storage module, an information collection module, an energy supply analysis module, an intelligent control module and a correction module, wherein the energy collection module is used for collecting electric energy converted from wind energy and solar energy in real time, and the electric energy storage module is used for storing electric energy; the information collection module is used for continuously monitoring the power generation rate and the grid load to provide data support; the energy supply analysis module is used for determining the type of electric power storage; the intelligent control module is used for dynamically adjusting the electric energy storage and transfer cycle; the correction module is used for providing instant electric power compensation when the power supply and demand are unbalanced to ensure the stability of the grid; the present invention improves the storage efficiency of new energy electric power and the adaptability of the grid through intelligent control and refined management of electric energy storage equipment, and provides strong support for the efficient use of new energy electric power and the stable operation of the grid.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy storage, and in particular to an energy-saving storage system for new energy electric power. Background Art

[0002] Power storage technologies such as pumped storage, lithium-ion batteries and all-vanadium liquid flow batteries are of great significance for improving energy efficiency, supporting renewable energy, grid peak regulation, enhancing grid stability, promoting electricity market development, supporting electric vehicle charging, providing emergency power supply and promoting energy transformation.

[0003] Chinese Patent Publication No.: CN110808614A discloses a method, system and storage medium for calculating the new energy consumption capacity based on the peak-shaving of the receiving power grid and the transmission capacity constraints of the main grid, including the following steps: 1) obtaining the maximum wind power consumption power that meets the peak-shaving constraints of the receiving power grid; 2) obtaining the maximum wind power and photovoltaic consumption power that meet the peak flow safety of the receiving power grid; 3) obtaining the maximum wind power consumption power that meets the valley flow safety of the receiving power grid; 4) calculating the wind power installed capacity and photovoltaic installed capacity of the receiving power grid according to the maximum wind power consumption power that meets the peak-shaving constraints of the receiving power grid, the maximum wind power and photovoltaic consumption power that meet the peak flow safety of the receiving power grid, the maximum wind power consumption power that meets the valley flow safety of the receiving power grid, and the wind power and photovoltaic output characteristics of the receiving power grid; it can be seen that the method, system and storage medium for calculating the new energy consumption capacity based on the peak-shaving of the receiving power grid and the transmission capacity constraints of the main grid have the following problems: it does not take into account the phenomenon that the electric energy storage device may have overcharging and over-discharging of the battery, which damages the energy storage battery and reduces the energy utilization rate. Summary of the invention

[0004] To this end, the present invention provides an energy-saving storage system for new energy electricity to overcome the problem in the prior art that the energy storage device may have overcharge and over-discharge of the battery, which damages the energy storage battery and reduces the energy utilization rate.

[0005] To achieve the above object, the present invention provides an energy-saving storage system for new energy power, comprising:

[0006] An energy collection module, including a wind power collection unit for collecting electric energy generated by wind power generation, and a photovoltaic collection unit for collecting electric energy generated by solar power generation;

[0007] An electric energy storage module, which is connected to the energy collection module, and includes a long-term storage unit for long-term storage of electric energy and a short-term storage unit for short-term storage of electric energy;

[0008] An information collection module, which is connected to the energy collection module and is used to continuously obtain the wind power generation rate and the solar power generation rate, and continuously obtain the grid load;

[0009] an energy supply analysis module connected to the information collection module, for determining a power storage tendency parameter according to the wind power generation rate and the solar power generation rate to determine a power storage type;

[0010] An intelligent control module, which is connected to the electric energy storage module and the energy supply analysis module respectively, and is used to determine the storage process of the electric energy storage module according to the power storage type, including:

[0011] Adjusting the detection period of transferring electric energy from the short-term storage unit to the long-term storage unit according to the electric energy collection rate of the wind power collection unit and the photovoltaic collection unit;

[0012] or, obtaining the grid load, determining the grid load fluctuation trend, predicting the maximum grid load value in the next storage adjustment cycle, and comparing it with the current electric energy collection rate to determine whether to continue energy storage, and whether electric energy compensation is required;

[0013] A correction module is connected to the intelligent control module and the electric energy storage module respectively, and is used to provide electric power compensation to the short-term storage unit through the long-term storage unit when electric power compensation is needed.

[0014] Furthermore, if the electric energy stored in the short-term storage unit meets the preset transfer energy condition, the excess electric energy is transferred to the long-term storage unit;

[0015] Wherein, the preset transfer energy condition is that the electric energy stored in the short-term storage unit reaches a preset storage capacity;

[0016] The excess electric energy is the electric energy exceeding the backup storage capacity.

[0017] Furthermore, the energy supply analysis module determines a power storage tendency parameter according to the wind power generation rate and the solar power generation rate, and the power storage tendency parameter is determined according to formula (1),

[0018]

[0019] In formula (1), G is the power storage tendency parameter, α is the power storage weight, W1 is the wind power generation rate, and W 10 is the standard wind power generation rate, W2 is the solar power generation rate, W 20 is the standard solar power generation rate, and α is 0 or 1.

[0020] Furthermore, the energy supply analysis module determines the power storage type according to the power storage tendency parameter, including:

[0021] If the power storage tendency parameter is greater than or equal to the preset power storage tendency parameter, the power storage type is a stable storage type;

[0022] If the power storage tendency parameter is less than a preset power storage tendency parameter, the power storage type is a fluctuating storage type.

[0023] Furthermore, the intelligent control module determines the storage process of the electric energy storage module according to the electric power storage type, including:

[0024] If the power storage type is a stable storage type, adjusting the detection period of transferring power from the short-term storage unit to the long-term storage unit according to the power collection rate of the wind power collection unit and the photovoltaic collection unit;

[0025] If the power storage type is a fluctuating storage type, the grid load is obtained, the grid load fluctuation trend is determined, the maximum grid load value of the next storage adjustment cycle is predicted, and compared with the current power collection rate to determine whether to continue energy storage and whether to provide power compensation.

[0026] Further, the adjusting detection cycle includes:

[0027] The intelligent control module calculates the power storage tendency difference between the power storage tendency parameter and the preset power storage tendency parameter;

[0028] adjusting the detection period according to the power storage tendency difference;

[0029] Among them, the adjustment amount of the detection period is positively correlated with the power storage tendency difference.

[0030] Furthermore, the intelligent control module predicts the maximum value of the grid load in the next storage adjustment cycle, including:

[0031] Determine the power grid load fluctuation parameters of the current storage adjustment cycle;

[0032] If the power grid load fluctuation parameter is greater than or equal to the standard power grid load fluctuation parameter, then predicting the maximum power grid load value in the next storage adjustment cycle;

[0033] If the power grid load fluctuation parameter is smaller than the standard power grid load fluctuation parameter, the maximum power grid load value in the next storage adjustment cycle is the same as the maximum power grid load value in the current storage adjustment cycle.

[0034] Furthermore, the power grid load fluctuation parameter is determined according to formula (2):

[0035]

[0036] In formula (2), K is the grid load fluctuation parameter, n is the total number of grid load peaks in the current storage adjustment cycle, hi is the i-th grid load peak, h0 is the average value of all grid load peaks, and i is an integer greater than 0.

[0037] Furthermore, the intelligent control module determines whether the electric energy storage module continues to store energy, including:

[0038] If the power load corresponding to the power collection rate is greater than or equal to the maximum power grid load of the next storage adjustment cycle, continue to store energy;

[0039] If the power load corresponding to the power collection rate is less than the maximum power grid load of the next storage adjustment cycle, energy storage is stopped.

[0040] Further, the determining whether electric energy compensation is needed includes:

[0041] The intelligent control module determines whether electric energy compensation is required according to the value of the electric power storage tendency parameter;

[0042] If the power storage tendency parameter is equal to 0, electric energy compensation is required;

[0043] If the power storage tendency parameter is not equal to 0, no power compensation is required.

[0044] Compared with the prior art, the beneficial effect of the present invention is that the present invention intelligently determines the type of power storage through the real-time collection of wind and solar power generation rates and grid load, and adjusts the power storage strategy accordingly. When the power supply is sufficient, the system optimizes the transfer process of electric energy to ensure timely storage of electric energy and extend the battery life; when the power supply is insufficient, the system compensates the short-term storage unit with electricity through the long-term storage unit to meet the grid load demand and avoid damage to the battery caused by being in a discharge state for a long time. In addition, the system can also predict grid load fluctuations and dynamically adjust the storage strategy, thereby improving the utilization rate of electric energy and the stability of grid power supply. The present invention improves the storage efficiency of new energy power and the adaptability of the grid through intelligent control and refined management of power storage equipment, providing strong support for the efficient utilization of new energy power and the stable operation of the grid.

[0045] Furthermore, in the present invention, taking into account the close relationship between the amount of electricity generated by wind and solar power and the wind conditions and sunshine conditions at the location of the power generation equipment, when the effective wind speed is small or the solar radiation intensity is low, the power generation equipment will generate less electricity. Similarly, when the effective wind speed is unstable and the solar radiation is unstable, the electricity generated by the power generation equipment will be unstable. Therefore, the fluctuation parameters of the energy collection situation are calculated to characterize the energy storage tendency, and further, data support is provided for the classification of storage methods of new energy electricity, which is convenient for the subsequent adaptive selection of energy storage methods. Furthermore, under the premise of ensuring the normal power supply of the power grid, the energy transfer method of the long-term storage unit and the short-term storage unit is adjusted to ensure timely storage of electricity and the service life of the battery.

[0046] Furthermore, in the present invention, taking into account the actual situation, the larger the power storage tendency parameter is, the faster the power generation rate of the wind turbine and solar generator in the current environment is. When it is suitable for power generation, the short-term storage unit is in a process of continuous power input, and when the power reaches the preset storage capacity, it is transferred to the long-term storage unit. Therefore, for the above situation, the system is in a state of continuous power storage. It only needs to verify whether the power transfer is completed in time to avoid overcharging and damaging the battery, thereby ensuring the power storage rate of new energy power generation and thus ensuring the power utilization rate.

[0047] Furthermore, when the power storage tendency parameter is 0, it means that under the wind conditions and solar energy conditions in the current time period, the electric energy generated by the generator is far less than the power load demand of the power grid, and if it is in this state for a long time, the power of the short-term storage unit will be unable to meet the power load of the power grid. In this case, the electric energy in the long-term storage unit is needed to compensate the short-term storage unit for the power demand and avoid damage to the battery due to battery discharge. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a structural schematic diagram of an energy-saving storage system of new energy power according to an embodiment of the present invention;

[0049] Figure 2 A logic diagram for determining the type of power storage according to the power storage tendency parameter according to an embodiment of the present invention;

[0050] Figure 3 A logic diagram for predicting the maximum value of the grid load in the next storage adjustment cycle according to an embodiment of the present invention;

[0051] Figure 4 A logic diagram for determining whether electric energy compensation is required according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0053] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0054] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0055] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0056] See also Figure 1 As shown, it is a schematic diagram of the structure of an energy-saving storage system of new energy power according to an embodiment of the present invention; the present invention provides an energy-saving storage system of new energy power, comprising:

[0057] An energy collection module, including a wind power collection unit for collecting electric energy generated by wind power generation, and a photovoltaic collection unit for collecting electric energy generated by solar power generation;

[0058] An electric energy storage module, which is connected to the energy collection module, and includes a long-term storage unit for long-term storage of electric energy and a short-term storage unit for short-term storage of electric energy;

[0059] An information collection module, which is connected to the energy collection module and is used to continuously obtain the wind power generation rate and the solar power generation rate, and continuously obtain the grid load;

[0060] an energy supply analysis module connected to the information collection module, for determining a power storage tendency parameter according to the wind power generation rate and the solar power generation rate to determine a power storage type;

[0061] An intelligent control module, which is connected to the electric energy storage module and the energy supply analysis module respectively, and is used to determine the storage process of the electric energy storage module according to the power storage type, including:

[0062] Adjusting the detection period of transferring electric energy from the short-term storage unit to the long-term storage unit according to the electric energy collection rate of the wind power collection unit and the photovoltaic collection unit;

[0063] or, obtaining the grid load, determining the grid load fluctuation trend, predicting the maximum grid load value in the next storage adjustment cycle, and comparing it with the current electric energy collection rate to determine whether to continue energy storage, and whether electric energy compensation is required;

[0064] A correction module is connected to the intelligent control module and the electric energy storage module respectively, and is used to provide electric power compensation to the short-term storage unit through the long-term storage unit when electric power compensation is needed.

[0065] In implementation, the wind power collection unit in the energy collection module is connected to the wind power generation equipment, and the photovoltaic collection unit is connected to the solar power generation equipment, and both can collect and obtain the power generation rate and power generation of the power generation equipment. This is a prior art and is not specifically limited.

[0066] The long-term storage unit and the short-term storage unit in the energy storage module are large-scale energy storage batteries in power stations, such as all-vanadium redox flow batteries, etc. The two units store electricity in the same way, but have different storage limits.

[0067] The present invention does not limit the specific structures of the information acquisition module, the energy supply analysis module, the intelligent control module and the correction module, which can be composed of logic components, and the logic components include a field programmable processor, a computer and a microprocessor in the computer.

[0068] The present invention intelligently determines the type of power storage through the real-time collection of wind and solar power generation rates and grid load, and adjusts the power storage strategy accordingly. When the power supply is sufficient, the system optimizes the transfer process of power to ensure timely storage of power and extend the battery life; when the power supply is insufficient, the system compensates the short-term storage unit with power through the long-term storage unit to meet the grid load demand and avoid damage to the battery caused by being in a discharge state for a long time. In addition, the system can also predict grid load fluctuations and dynamically adjust the storage strategy, thereby improving power utilization and the stability of grid power supply. The present invention improves the storage efficiency of new energy power and the adaptability of the grid through intelligent control and refined management of power storage equipment, providing strong support for the efficient use of new energy power and the stable operation of the grid.

[0069] Specifically, if the electric energy stored in the short-term storage unit meets the preset transfer energy condition, the excess electric energy is transferred to the long-term storage unit;

[0070] Wherein, the preset transfer energy condition is that the electric energy stored in the short-term storage unit reaches a preset storage capacity;

[0071] The excess electric energy is the electric energy exceeding the backup storage capacity.

[0072] In implementation, the capacity of the short-term storage unit is smaller than that of the long-term storage unit, preferably 10% of the capacity of the long-term storage unit. The preset storage capacity is 70% to 80% of the rated storage capacity of the short-term storage unit. The standby storage capacity is determined based on the percentage of the rated storage capacity of the short-term storage unit corresponding to the maximum power demand in the historical power load data.

[0073] See also Figure 2 As shown, it is a logic diagram of determining the power storage type according to the power storage tendency parameter in an embodiment of the present invention. The energy supply analysis module determines the power storage tendency parameter according to the wind power generation rate and the solar power generation rate. The power storage tendency parameter is determined according to formula (1).

[0074]

[0075] In formula (1), G is the power storage tendency parameter, α is the power storage weight, W1 is the wind power generation rate, and W 10 is the standard wind power generation rate, W2 is the solar power generation rate, W 20 is the standard solar power generation rate, and α is 0 or 1.

[0076] In implementation, the wind power generation rate is directly obtained through the wind power collection unit, and the solar power generation rate is directly obtained through the photovoltaic collection unit; the standard wind power generation rate is determined according to the average value of the wind power generation rate when the power generation rate in the historical records is consistent with the grid load, and the standard solar power generation rate is determined according to the average value of the solar power generation rate when the power generation rate in the historical records is consistent with the grid load;

[0077] The energy storage weight is determined according to the wind power generation rate and solar power generation rate. If (W 1 / W 10 +W2 / W 20 )≤1, then α is 0; if (W 1 / W 10 +W2 / W 20 )>1, then α takes the value of 1.

[0078] In the present invention, it is considered that the power generation using wind energy and solar energy is closely related to the wind conditions and sunshine conditions at the location of the power generation equipment. When the effective wind speed is small or the solar radiation intensity is low, the power generation equipment will generate less electricity. Similarly, when the effective wind speed is unstable and the solar radiation is unstable, the electricity generated by the power generation equipment will be unstable. Therefore, the fluctuation parameters of the power collection situation are calculated to characterize the power storage tendency, and further, data support is provided for the classification of storage methods of new energy power, which is convenient for the subsequent adaptive selection of power storage methods. Furthermore, under the premise of ensuring the normal power supply of the power grid, the energy transfer method of the long-term storage unit and the short-term storage unit is adjusted to ensure timely storage of electricity and the service life of the battery.

[0079] Specifically, the energy supply analysis module determines the power storage type according to the power storage tendency parameter, including:

[0080] If the power storage tendency parameter is greater than or equal to the preset power storage tendency parameter, the power storage type is a stable storage type;

[0081] If the power storage tendency parameter is less than a preset power storage tendency parameter, the power storage type is a fluctuating storage type.

[0082] In implementation, the preset power storage parameter is selected within the interval [0.65, 0.8].

[0083] The power storage tendency parameter is also a parameter that is continuously acquired, that is, the power storage type is directly changed when the conditions for changing the type according to the preset power storage tendency parameter are met.

[0084] Specifically, the intelligent control module determines the storage process of the electric energy storage module according to the power storage type, including:

[0085] If the power storage type is a stable storage type, adjusting the detection period of transferring power from the short-term storage unit to the long-term storage unit according to the power collection rate of the wind power collection unit and the photovoltaic collection unit;

[0086] If the power storage type is a fluctuating storage type, the grid load is obtained, the grid load fluctuation trend is determined, the maximum grid load value of the next storage adjustment cycle is predicted, and compared with the current power collection rate to determine whether to continue energy storage and whether to provide power compensation.

[0087] Specifically, the adjustment detection cycle includes:

[0088] The intelligent control module calculates the power storage tendency difference between the power storage tendency parameter and the preset power storage tendency parameter;

[0089] adjusting the detection period according to the power storage tendency difference;

[0090] Among them, the adjustment amount of the detection period is positively correlated with the power storage tendency difference.

[0091] In implementation, the detection cycle is the detection interval for detecting whether the electric energy in the short-term storage unit is stored in the long-term storage unit. The purpose of the detection is to avoid the electric energy not being normally transferred to the long-term storage unit, resulting in overcharging of the battery in the short-term storage unit, causing damage to the battery and waste of electric energy.

[0092] The adjustment amount of the detection period △T=(G1-G0) / G0×T0, G1 is the power storage tendency parameter, G0 is the preset power storage tendency parameter, T0 is the initial detection period, the initial detection period is determined according to the average value of the historical detection period, and the adjusted detection period T'=T0-△T.

[0093] In the present invention, it is taken into account that in actual situations, the larger the power storage tendency parameter is, the faster the power generation rate of the wind turbine and solar generator in the current environment is. When it is suitable for power generation, the short-term storage unit is in a process of continuous power input, and when the power reaches the preset storage capacity, it is transferred to the long-term storage unit. Therefore, for the above situation, the system is in a state of continuous power storage. It only needs to verify whether the power transfer is completed in time to avoid overcharging and damaging the battery, thereby ensuring the power storage rate of new energy power generation and thus ensuring the power utilization rate.

[0094] See also Figure 3 As shown, it is a logic diagram of predicting the maximum value of the power grid load in the next storage adjustment cycle according to an embodiment of the present invention. The intelligent control module predicts the maximum value of the power grid load in the next storage adjustment cycle, including:

[0095] Determining a power grid load fluctuation parameter of the current storage adjustment period;

[0096] If the power grid load fluctuation parameter is greater than or equal to the standard power grid load fluctuation parameter, then predicting the maximum power grid load value in the next storage adjustment cycle;

[0097] If the power grid load fluctuation parameter is smaller than the standard power grid load fluctuation parameter, the maximum power grid load value in the next storage adjustment cycle is the same as the maximum power grid load value in the current storage adjustment cycle.

[0098] In implementation, the storage adjustment period is determined according to the time interval between sunrise and sunset at the location of the power generation equipment.

[0099] Specifically, the power grid load fluctuation parameter is determined according to formula (2):

[0100]

[0101] In formula (2), K is the grid load fluctuation parameter, n is the total number of grid load peaks in the current storage adjustment cycle, hi is the i-th grid load peak, h0 is the average value of all grid load peaks, and i is an integer greater than 0.

[0102] In the implementation, the standard grid load fluctuation parameter is selected in the interval [0.15, 0.2].

[0103] The process of predicting the maximum grid load of the next storage adjustment cycle is to calculate the grid load fluctuation difference △K between the grid load fluctuation parameter and the standard grid load fluctuation parameter. The maximum grid load of the next storage adjustment cycle H'=(1.1+△K)×H0, H0 is the maximum grid load of the current storage adjustment cycle.

[0104] Specifically, the intelligent control module determines whether the electric energy storage module continues to store energy, including:

[0105] If the power load corresponding to the power collection rate is greater than or equal to the maximum power grid load of the next storage adjustment cycle, continue to store energy;

[0106] If the power load corresponding to the power collection rate is less than the maximum power grid load of the next storage adjustment cycle, energy storage is stopped.

[0107] In implementation, continued energy storage means that after the electric energy stored in the short-term storage unit reaches the preset storage capacity, the electric energy continues to be transferred to the long-term storage unit, and stopped energy storage means that after the electric energy stored in the short-term storage unit reaches the preset storage capacity, the electric energy is not transferred to the long-term storage unit.

[0108] See also Figure 4 As shown, it is a logic diagram of determining whether electric energy compensation is needed in an embodiment of the present invention, wherein the determination of whether electric energy compensation is needed includes:

[0109] The intelligent control module determines whether electric energy compensation is required according to the value of the electric power storage tendency parameter;

[0110] If the power storage tendency parameter is equal to 0, electric energy compensation is required;

[0111] If the power storage tendency parameter is not equal to 0, no power compensation is required.

[0112] It can be understood that when the power storage tendency parameter is 0, it means that under the wind conditions and solar energy conditions in the current time period, the electric energy generated by the generator is far less than the power load demand of the power grid, and if it is in this state for a long time, the power of the short-term storage unit will not be able to meet the power load of the power grid. In this case, the electric energy in the long-term storage unit is needed to compensate the short-term storage unit for the power demand and avoid damage to the battery due to battery discharge.

[0113] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0114] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An energy-saving storage system for new energy power, characterized in that: include: An energy collection module, including a wind power collection unit for collecting electric energy generated by wind power generation, and a photovoltaic collection unit for collecting electric energy generated by solar power generation; An electric energy storage module, which is connected to the energy collection module, and includes a long-term storage unit for long-term storage of electric energy and a short-term storage unit for short-term storage of electric energy; An information collection module, which is connected to the energy collection module and is used to continuously obtain the wind power generation rate and the solar power generation rate, and continuously obtain the grid load; an energy supply analysis module connected to the information collection module, for determining a power storage tendency parameter according to the wind power generation rate and the solar power generation rate to determine a power storage type; An intelligent control module, which is connected to the electric energy storage module and the energy supply analysis module respectively, and is used to determine the storage process of the electric energy storage module according to the power storage type, including: Adjusting the detection period of transferring electric energy from the short-term storage unit to the long-term storage unit according to the electric energy collection rate of the wind power collection unit and the photovoltaic collection unit; or, obtaining the grid load, determining the grid load fluctuation trend, predicting the maximum grid load value in the next storage adjustment cycle, and comparing it with the current electric energy collection rate to determine whether to continue energy storage, and whether electric energy compensation is required; a correction module, which is connected to the intelligent control module and the electric energy storage module respectively, and is used to provide electric power compensation to the short-term storage unit through the long-term storage unit when electric power compensation is needed; If the electric energy stored in the short-term storage unit meets the preset transfer energy condition, the excess electric energy is transferred to the long-term storage unit; Wherein, the preset transfer energy condition is that the electric energy stored in the short-term storage unit reaches a preset storage capacity; The excess electric energy is the electric energy exceeding the reserve storage capacity; The energy supply analysis module determines the power storage tendency parameter according to the wind power generation rate and the solar power generation rate. The power storage tendency parameter is determined according to formula (1): In formula (1), G is the power storage tendency parameter, α is the power storage weight, W1 is the wind power generation rate, and W 10 is the standard wind power generation rate, W2 is the solar power generation rate, W 20 is the standard solar power generation rate, and α takes the value of 0 or 1; The energy supply analysis module determines the power storage type according to the power storage tendency parameter, including: If the power storage tendency parameter is greater than or equal to the preset power storage tendency parameter, the power storage type is a stable storage type; If the power storage tendency parameter is less than a preset power storage tendency parameter, the power storage type is a fluctuating storage type.

2. The energy-saving storage system of new energy power according to claim 1, characterized in that: The intelligent control module determines the storage process of the electric energy storage module according to the electric power storage type, including: If the power storage type is a stable storage type, adjusting the detection period of transferring power from the short-term storage unit to the long-term storage unit according to the power collection rate of the wind power collection unit and the photovoltaic collection unit; If the power storage type is a fluctuating storage type, the grid load is obtained, the grid load fluctuation trend is determined, the maximum grid load value of the next storage adjustment cycle is predicted, and compared with the current power collection rate to determine whether to continue energy storage and whether to provide power compensation.

3. The energy-saving storage system of new energy power according to claim 2, characterized in that: Adjusting the detection cycle includes, The intelligent control module calculates the power storage tendency difference between the power storage tendency parameter and the preset power storage tendency parameter; adjusting the detection period according to the power storage tendency difference; Among them, the adjustment amount of the detection period is positively correlated with the power storage tendency difference.

4. The energy-saving storage system of new energy power according to claim 3 is characterized in that: The intelligent control module predicts the maximum value of the power grid load in the next storage adjustment cycle, including: Determine the power grid load fluctuation parameters of the current storage adjustment cycle; If the power grid load fluctuation parameter is greater than or equal to the standard power grid load fluctuation parameter, then predicting the maximum power grid load value in the next storage adjustment cycle; If the power grid load fluctuation parameter is smaller than the standard power grid load fluctuation parameter, the maximum power grid load value in the next storage adjustment cycle is the same as the maximum power grid load value in the current storage adjustment cycle.

5. The energy-saving storage system of new energy power according to claim 4, characterized in that: The grid load fluctuation parameter is determined according to formula (2): In formula (2), K is the grid load fluctuation parameter, n is the total number of grid load peaks in the current storage adjustment cycle, hi is the i-th grid load peak, h0 is the average value of all grid load peaks, and i is an integer greater than 0.

6. The energy-saving storage system of new energy power according to claim 5, characterized in that: The intelligent control module determines whether the electric energy storage module continues to store energy. include, If the power load corresponding to the power collection rate is greater than or equal to the maximum power grid load of the next storage adjustment cycle, continue to store energy; If the power load corresponding to the power collection rate is less than the maximum power grid load of the next storage adjustment cycle, energy storage is stopped.

7. The energy-saving storage system of new energy power according to claim 6, characterized in that: The determining whether electric energy compensation is required includes: The intelligent control module determines whether electric energy compensation is required according to the value of the electric power storage tendency parameter; If the power storage tendency parameter is equal to 0, electric energy compensation is required; If the power storage tendency parameter is not equal to 0, no power compensation is required.

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