Fine energy management method and device for optical storage and charging integrated power station

Abstract

The invention discloses an energy fine management method and device for an optical storage and charging integrated power station. The method comprises the following steps: determining the charging power difference between the power generation power of new energy of the power station and the power required by charging of an electric device; establishing a relation function between the unit electricity price and the charging power difference of the power station, and representing the charging power difference through the unit electricity price; the unit electricity price is used as an input variable of the fuzzy logic controller, and the output current of the energy storage battery is used as an output variable of the fuzzy logic controller; and the magnitude and the flow direction of the output current of the energy storage battery are controlled by using the output result of the fuzzy logic controller. By adopting the scheme, the expected charging and discharging state of the battery is controlled, the service life of the battery is prolonged, the transmission power between the power station and the power grid is stable, no large instantaneous fluctuation exists, stable control over the light storage and charging integrated power station is achieved, meanwhile, the dependence of the power station on the external power grid is reduced, and the economic benefits of power consumers are improved.

Description

Technical Field

[0001] The present invention relates to the field of new energy power technology, and in particular to a method and device for fine energy management of a photovoltaic storage and charging integrated power station. Background Art

[0002] People are increasingly interested in finding low-pollution clean energy, which has led to the gradual popularization of electric vehicles. However, as the number of electric vehicles grows, charging using traditional power grids becomes increasingly difficult and poses challenges to the stability and control of the grid. Therefore, it is necessary to provide an efficient charging system for electric vehicles.

[0003] As a new type of charging facility, the photovoltaic-storage integrated electric vehicle charging station can realize the local integration of solar energy and electric vehicles. In areas with a large number of distributed photovoltaics, photovoltaic power generation can be connected to the charging station for electric vehicle charging, thereby maximizing the resource utilization rate of renewable energy and achieving good economic benefits. However, the uncertainty of photovoltaic power generation leads to unstable power supply and large changes, which makes the power station system prone to instantaneous power fluctuations when it is connected to the power grid system. The problem brought about by this is that, on the one hand, it has a significant negative impact on the operating stability of the power station system, and on the other hand, it is easy to waste when the photovoltaic power generation is high. Although the prior art proposes to add energy storage devices to the power station to alleviate this problem, the actual operation effect is not ideal due to the lack of a suitable management and control method for the energy storage device. Summary of the invention

[0004] Purpose of the invention: The present invention provides a method and device for refined energy management of a photovoltaic storage and charging integrated power station, aiming to solve the technical problems existing in the prior art of electric vehicle charging stations connected to new energy sources, such as poor operating stability of the power station system due to the uncertainty of photovoltaic power generation, and waste of electric energy.

[0005] Technical solution: The present invention provides a method for fine energy management of an integrated photovoltaic storage and charging power station, comprising: when the power station is charging an electric device, determining the charging power difference between the power generation power of the power station's new energy and the power required for charging the electric device; obtaining the electricity price in the current period and the current power supply power of the power station's energy storage battery, and establishing a relationship function between the unit electricity price of the power station and the charging power difference, and characterizing the charging power difference by the unit electricity price; using the unit electricity price as the input variable of a fuzzy logic controller, and using the output current of the energy storage battery as the output variable of the fuzzy logic controller; using the output result of the fuzzy logic controller to control the size and direction of the output current of the energy storage battery, and achieving the following control results: (1) when the power generation power is less than the power required for charging, determining whether the energy storage battery is charging the electric device based on the current period electricity price and the current power of the energy storage battery; (2) when the power generation power is greater than the power required for charging, determining whether to feed back the excess electric energy of the power station to the power grid or store it in the energy storage battery based on the current period electricity price and the current power of the energy storage battery.

[0006] Specifically, the charging power difference is calculated using the following formula:

[0007] ΔP=P PV -P EV , where ΔP represents the charging power difference, P PV Represents the power generation of renewable energy in the power station, P EV Indicates the power required to charge an electric device.

[0008] Specifically, the relationship function is as follows:

[0009] EC unit =((EP-EP min ) / (EP max -EP min ))((P rate -P ES -ΔP) / 2P rate ),

[0010] Among them, EC unit Indicates the unit electricity price of the power station, EP indicates the electricity price in the current period, EP min Indicates the lowest electricity price of the day, EP max represents the highest electricity price of the day, P rate Indicates the rated power of the power grid, P ES Indicates the current power supply of the energy storage battery.

[0011] Specifically, the current power and unit electricity price of the energy storage battery are used as input variables of the fuzzy logic controller, and the output current of the energy storage battery is used as the output variable.

[0012] Specifically, when the generated power is less than the power required for charging, it includes: if the electricity price in the current period is higher than the standard electricity price range, and the current power of the energy storage battery is higher than the standard power range, then the energy storage battery is controlled to charge the electric device; if the electricity price in the current period is higher than the standard electricity price range, and the current power of the energy storage battery is lower than the standard power range, or the electricity price in the current period is lower than the standard electricity price range, and the current power of the energy storage battery is higher than the standard power range, then the energy storage battery is controlled not to charge the electric device, and the electric energy provided by the power grid is used to charge the electric device; if the electricity price in the current period is lower than the standard electricity price range, and the current power of the energy storage battery is lower than the standard power range, then the energy storage battery is controlled to charge.

[0013] Specifically, when the generated power is greater than the power required for charging, if the electricity price in the current period is higher than the standard electricity price range and the current power of the energy storage battery is higher than the standard power range, the excess power of the power station is controlled to be fed back to the power grid; if the electricity price in the current period is higher than the standard electricity price range and the current power of the energy storage battery is lower than the standard power range, or the electricity price in the current period is lower than the standard electricity price range and the current power of the energy storage battery is higher than the standard power range, the excess power of the power station is controlled to be fed back to the power grid; if the electricity price in the current period is lower than the standard electricity price range and the current power of the energy storage battery is lower than the standard power range, the excess power of the power station is controlled to be stored in the energy storage battery.

[0014] Specifically, the output result of the fuzzy logic controller is used to control the output current of the energy storage battery, so that when the charging power difference changes, the current power supply power of the energy storage battery is controlled to change in the opposite direction of the charging power difference.

[0015] Specifically, the input and output of the fuzzy logic controller are respectively provided with membership functions.

[0016] Specifically, the membership function of the input of the fuzzy logic controller includes the following intervals: low interval, slightly low interval, middle interval, slightly high interval, and high interval; the membership function of the output of the fuzzy logic controller includes the following intervals: negative large interval, negative middle interval, negative small interval, zero interval, positive small interval, positive middle interval, and positive large interval.

[0017] The present invention also provides a device for fine energy management of an integrated photovoltaic power station, comprising: a power calculation unit, a unit electricity price calculation unit and a fuzzy logic controller unit, wherein: the power calculation unit is used to determine the charging power difference between the power generation power of the power station's new energy and the power required for charging the electric device when the power station is charging the electric device; the unit electricity price calculation unit is used to obtain the current time period electricity price and the current power supply power of the power storage battery of the power station, and establish a relationship function between the unit electricity price of the power station and the charging power difference, and characterize the charging power difference by the unit electricity price; the fuzzy logic controller unit is used to use the unit electricity price as the input variable of the fuzzy logic controller and the output current of the energy storage battery as the output variable of the fuzzy logic controller; the output result of the fuzzy logic controller is used to control the size and flow direction of the output current of the energy storage battery to achieve the following control results: (1) when the power generation power is less than the power required for charging, determine whether the energy storage battery is charging the electric device according to the current time period electricity price and the current power of the energy storage battery; (2) when the power generation power is greater than the power required for charging, determine whether to feed back the excess power of the power station to the power grid or store it in the energy storage battery according to the current time period electricity price and the current power of the energy storage battery.

[0018] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages: by controlling the desired charge and discharge state of the battery, the battery life is extended, and the flexible adjustment characteristics of energy storage are fully utilized to make the transmission power between the power station and the power grid relatively stable without large instantaneous fluctuations, thereby achieving stable control of the integrated photovoltaic storage and charging power station, while reducing the power station's dependence on the external power grid, taking into account the impact of time-of-use electricity prices, reducing the load pressure on the power grid, and improving the economic benefits of electricity users. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A schematic diagram of the power flow of the photovoltaic storage charging station system in the grid-connected mode provided by the present invention;

[0020] FIG2 is a schematic diagram of the membership function of the input variables and output variables of the fuzzy logic controller provided by the present invention;

[0021] Figure 3 A control schematic diagram of energy management of the energy storage system provided by the present invention;

[0022] FIG4(a), FIG4(b), FIG4(c) and FIG4(d) are first simulation verification diagrams of charging power difference, unit electricity price, current power of energy storage battery and output current of energy storage battery using the method provided by the present invention;

[0023] Figures 5(a), 5(b), 5(c) and 5(d) are second simulation verification diagrams of the charging power difference, unit electricity price, current power of the energy storage battery and output current of the energy storage battery using the method provided by the present invention. DETAILED DESCRIPTION

[0024] The technical solution of the present invention is further described below in conjunction with the accompanying drawings.

[0025] See also Figure 1 , which is a schematic diagram of the power flow of the photovoltaic storage charging station system in the grid-connected mode provided by the present invention.

[0026] In the embodiment of the present invention, when the power station is charging an electric device (such as an electric car), the charging power difference between the power generation power of the new energy of the power station and the power required for charging the electric device is determined.

[0027] In specific implementation, by calculating the charging power difference between the power generation power of the power station's new energy and the power required for charging the electric device, the possible power (electric energy) flow of the power station in the grid-connected mode can be calculated. There are two situations. One is that power flows from the power grid to the power station, that is, the power grid provides electric energy to the power station. The other is that the power flows from the power station to the power grid, that is, the power station can sell power to the power grid.

[0028] In the embodiment of the present invention, the charging power difference is calculated using the following formula:

[0029] ΔP=P PV -P EV ,

[0030] Where ΔP represents the charging power difference, P PV Represents the power generation of renewable energy in the power station, P EV Indicates the power required to charge an electric device.

[0031] In the specific implementation, the functional parts of the power station mainly include the connected new energy power generation (photovoltaic) and energy storage batteries, from which ΔP+P G +P ES =0, where P G Represents the grid output power, P ES Indicates the current power supply of the energy storage battery.

[0032] In the embodiment of the present invention, the electricity price of the current period and the current power supply power of the power station energy storage battery are obtained, and a relationship function between the unit electricity price of the power station and the charging power difference is established, and the charging power difference is characterized by the unit electricity price.

[0033] In specific implementation, the current period electricity price of the power grid reflects the electricity price of the current period of the day. The electricity price of the power grid varies in multiple periods of the day (such as peak period and off-peak period). The unit electricity price means the average price per unit time of the electricity fee paid to the power grid by the power station (from the day to the current moment).

[0034] In the specific implementation, one of the important improvements of the present invention is to use fuzzy logic controller to manage the energy of the power station. Considering that the rules of the fuzzy controller with two or more input variables are relatively complex, it is necessary to find a variable that can represent both the current period electricity price and the charging power difference among the many variables in the power station. Considering the electricity price (EP) multiplied by the grid output power (P G ) represents the electricity cost per unit time (EC unit ), and the grid output power P G Related to charging power difference (P G =-ΔP-P ES , P ES Represents the current power supply of the energy storage battery), so a relationship function is established, and the unit time electricity price can be used to characterize the charging power difference.

[0035] In the embodiment of the present invention, a normalization method is used to convert EP and -P ES -ΔP is mapped to the region [0,1], and the relationship function between the unit electricity price of the power station and the charging power difference is as follows:

[0036] EC unit =((EP-EP min ) / (EP max -EP min ))((P rate -P ES -ΔP) / 2P rate ),

[0037] Among them, EC unit Indicates the unit electricity price of the power station, EP indicates the electricity price in the current period, EP min Indicates the lowest electricity price of the day, EP max represents the highest electricity price of the day, P rate Indicates the rated power of the power grid, P ES Indicates the current power supply of the energy storage battery.

[0038] In the embodiment of the present invention, the unit electricity price is used as the input variable of the fuzzy logic controller, and the output current of the energy storage battery is used as the output variable of the fuzzy logic controller.

[0039] In the embodiment of the present invention, further, the current power (SOC, State of charge) and unit electricity price of the energy storage battery are used as input variables of the fuzzy logic controller, and the output current of the energy storage battery is used as the output variable.

[0040] In a specific implementation, the unit electricity price can reflect the difference in charging power, while the current power of the energy storage battery reflects whether the energy storage battery can provide power and whether the energy storage battery needs to be charged. The output current of the energy storage battery can control whether the energy storage battery is powered and whether the energy storage battery is charged (the positive and negative power indicates the flow direction).

[0041] In the fuzzy logic controller, the current SOC of the energy storage battery and the unit time electricity cost EC are calculated. unit Set as two input variables, the energy storage output current I ESB Set as output variable. SOC, EC unit and I ESB The range is:

[0042]

[0043] The minimum threshold allowed for the energy storage battery SOC may be set to 50% to ensure that the energy storage battery has sufficient remaining capacity to maintain the normal operation of the power station energy storage device when switching to the off-grid mode.

[0044] In practice, the fuzzy logic controller is a control method based on fuzzy logic, which is used to deal with complex systems that cannot be described by precise mathematical models or whose control parameters vary greatly. The fuzzy logic controller uses fuzzy set theory to deal with problems such as uncertainty and approximate reasoning, so that the controller can respond to changes in the system input in a more flexible way. The process includes: (1) fuzzification, which converts actual measured values ​​into fuzzy values, that is, determines their membership to different fuzzy sets; (2) rule evaluation: based on the defined fuzzy rules, calculates the results of all applicable rules; (3) aggregation: combines the results of all rules to form a single fuzzy output; (4) defuzzification: converts the fuzzy output back to the actual control action value.

[0045] In the present invention, the advantage of applying the fuzzy logic controller is that there is no need to establish and train a specific algorithm model, which has advantages in efficiency and cost. For problems with high uncertainty such as new energy power generation and application scenarios where multiple control objectives constrain each other, the fuzzy logic controller has better flexibility and strong resistance to external interference.

[0046] In the embodiment of the present invention, a control rule for the fuzzy controller is set, that is, a refined management rule for the power station energy. Specifically, the output result of the fuzzy logic controller is used to control the size and direction of the output current of the energy storage battery to achieve the following control results: (1) When the generated power is less than the power required for charging, it is determined whether the energy storage battery is charged for the electric device according to the electricity price in the current period and the current power of the energy storage battery; (2) When the generated power is greater than the power required for charging, it is determined whether the excess power of the power station is fed back to the power grid or stored in the energy storage battery according to the electricity price in the current period and the current power of the energy storage battery.

[0047] In the specific implementation, the energy management rules of the integrated photovoltaic storage and charging power station are summarized as follows:

[0048] (1) When the SOC (State of charge) of the energy storage battery is too high, the energy storage battery is not allowed to be charged; when the SOC of the energy storage battery is low, the battery is not allowed to be discharged.

[0049] (2) When the electricity price is high during the current period, the solar-storage charging station system should be encouraged to transmit electricity to the public grid, and the energy storage battery should not be allowed to charge. When the electricity price is low during the current period, the public grid should be encouraged to transmit electricity to the solar-storage charging station system, and the energy storage battery should not be allowed to discharge, so as to reduce the number of energy storage charging and discharging and increase battery life.

[0050] (3) When the power plant has surplus power generation (ΔP>0), the surplus power should be transmitted to the public grid first to obtain economic benefits.

[0051] In the embodiment of the present invention, the control result when the power generated by the power station is less than the power required for charging the electric device is:

[0052] (1) If the electricity price in the current period is higher than the standard electricity price range (which can be set according to actual application conditions), and the current power of the energy storage battery is higher than the standard power range (which can be set according to actual application conditions), the energy storage battery is controlled to charge the electric device;

[0053] (2) If the electricity price in the current period is higher than the standard electricity price range and the current power of the energy storage battery is lower than the standard power range, or if the electricity price in the current period is lower than the standard electricity price range and the current power of the energy storage battery is higher than the standard power range, the energy storage battery is controlled not to charge the electric device and the electric energy provided by the power grid is used to charge the electric device;

[0054] (3) If the electricity price in the current period is lower than the standard electricity price range, and the current power of the energy storage battery is lower than the standard power range, the energy storage battery is controlled to be charged (the grid can also be used for power supply at the same time).

[0055] In the embodiment of the present invention, the control result when the power generated by the power station is greater than the power required for charging the electric device is:

[0056] (1) If the electricity price in the current period is higher than the standard electricity price range, and the current power of the energy storage battery is higher than the standard power range, the excess power of the power station is controlled to be fed back to the grid;

[0057] (2) If the electricity price in the current period is higher than the standard electricity price range and the current power of the energy storage battery is lower than the standard power range, or if the electricity price in the current period is lower than the standard electricity price range and the current power of the energy storage battery is higher than the standard power range, the excess power of the power station is controlled to be fed back to the power grid;

[0058] (3) If the electricity price in the current period is lower than the standard electricity price range, and the current power level of the energy storage battery is lower than the standard power level range, the excess power of the power station is controlled to be stored in the energy storage battery (the excess power can also be fed back to the power grid at the same time).

[0059] In a specific implementation, the surplus electric energy of a power station refers to all or part of the power remaining after the power generation power of the power station meets the power required for charging the electric device.

[0060] In a specific implementation, when the power generated by the power station is equal to the power required to charge the electric device, a balance is reached between the power station and the power grid, and no management action is performed.

[0061] In the embodiment of the present invention, the output result of the fuzzy logic controller is used to control the output current of the energy storage battery, so that when the charging power difference changes, the current power supply power of the energy storage battery is controlled to change in the opposite direction of the charging power difference.

[0062] In the specific implementation, the specific rules set for the fuzzy logic controller are further used to achieve the above control results. When the charging power difference ΔP increases, the current power supply power P of the energy storage battery is increased by the fuzzy logic controller. ES When the charging power difference ΔP decreases, the current power supply power P of the energy storage battery is reduced by the fuzzy logic controller. ES Increase.

[0063] In a specific implementation, when the charging power difference changes, the current power supply power of the energy storage battery is controlled to change in the opposite direction. After such control, the output change of the energy storage battery is relatively stable, and the change of power flow between the power station and the power grid is also relatively stable. It is not easy to have instantaneous large fluctuations, which is conducive to the stable operation of the power station and the power grid.

[0064] 2(a), 2(b) and 2(c), which are schematic diagrams of the input variables (energy storage battery SOC, unit electricity price) and the output variable membership function (energy storage battery output current) of the fuzzy logic controller provided by the present invention.

[0065] In the embodiment of the present invention, the input and output of the fuzzy logic controller are respectively provided with membership functions.

[0066] In the embodiment of the present invention, the membership function of the input of the fuzzy logic controller includes the following intervals: low interval (L), slightly low interval (SL), middle interval (M), slightly high interval (SH), high interval (H); the membership function of the output of the fuzzy logic controller includes the following intervals: negative large interval (NB), negative middle interval (NM), negative small interval (NS), zero interval (ZO), positive small interval (PS), positive middle interval (PM), positive large interval (PB). Setting the membership functions of the input variables and output variables realizes refined energy control.

[0067] Figure 3 A control schematic diagram of energy management of the energy storage system provided by the present invention.

[0068] In a specific implementation, the input (K 1 and K 2 ) to get the output (K 1 ), thereby obtaining the battery charge and discharge current reference value I in the energy storage module ESB Through closed-loop control, the actual output current of the energy storage tracks the reference value, and the switching signal (S ES )Control the working status of the energy storage module.

[0069] 4(a), 4(b), 4(c) and 4(d), which show that when the initial SOC of the energy storage battery is 80%, the photovoltaic output power and the electric vehicle charging power vary randomly over time, and at the same time, the electricity price EP (normalized value) is set to decrease from 0.7 to 0.3 at 2s, the first simulation verification diagram of the charging power difference, unit electricity price, current power of the energy storage battery (SOC) and output current of the energy storage battery is simulated by applying the method provided by the present invention.

[0070] As shown in the figure, between 0 and 2 seconds, due to the high unit time electricity price EP and SOC, the energy storage discharges to reduce the public grid output power and transmits the remaining power to the public grid to obtain economic benefits. unit Further increase leads to an increase in the discharge current of the energy storage and a steeper downward trend in the energy storage SOC. Between 2 and 3 seconds, although the net output power further decreases, the discharge current of the energy storage decreases. This is because the electricity price per unit time is reduced at this time, and the output power of the public power grid increases, which compensates for the reduction in the output power of the energy storage. Between 3 and 4 seconds, the current of the energy storage device is negative. This is because the net output power is positive at this time, and the electricity price per unit time is low, and the remaining electricity is supplied to the energy storage for charging.

[0071] 5(a), 5(b), 5(c) and 5(d), which show that when the initial SOC of the energy storage battery is 60%, the photovoltaic output power and the electric vehicle charging power vary randomly over time, and at the same time, the electricity price EP (normalized value) is set to decrease from 0.7 to 0.3 at 2s, the method provided by the present invention is applied to simulate the charging power difference, unit electricity price, current power of the energy storage battery (SOC) and output current of the energy storage battery. The second simulation verification diagram

[0072] As shown in the figure, between 0 and 2s, although the SOC is low, the unit time electricity cost EP unit When it is higher, the output power of the public grid should be reduced, and the remaining power should be transmitted to the public grid first to obtain economic benefits. At this time, the energy storage SOC does not change. Between 2 and 4 seconds, the unit time electricity price EP decreases, the output power of the public grid increases, and the energy storage SOC begins to rise. At 3 seconds, the net output power increases, resulting in an increase in the energy storage charging current and an acceleration in the rise of the energy storage SOC. The simulation results verify the effectiveness of the energy refined management method of the integrated photovoltaic storage and charging power station proposed in this invention.

[0073] The present invention also provides a device for fine energy management of an integrated photovoltaic power station, comprising: a power calculation unit, a unit electricity price calculation unit and a fuzzy logic controller unit, wherein: the power calculation unit is used to determine the charging power difference between the power generation power of the power station's new energy and the power required for charging the electric device when the power station is charging the electric device; the unit electricity price calculation unit is used to obtain the current time period electricity price and the current power supply power of the power storage battery of the power station, and establish a relationship function between the unit electricity price of the power station and the charging power difference, and characterize the charging power difference by the unit electricity price; the fuzzy logic controller unit is used to use the unit electricity price as the input variable of the fuzzy logic controller and the output current of the energy storage battery as the output variable of the fuzzy logic controller; the output result of the fuzzy logic controller is used to control the size and flow direction of the output current of the energy storage battery to achieve the following control results: (1) when the power generation power is less than the power required for charging, determine whether the energy storage battery is charging the electric device according to the current time period electricity price and the current power of the energy storage battery; (2) when the power generation power is greater than the power required for charging, determine whether to feed back the excess power of the power station to the power grid or store it in the energy storage battery according to the current time period electricity price and the current power of the energy storage battery.

Claims

1. A method for fine energy management of a photovoltaic storage and charging integrated power station, characterized in that: include: When the power station is charging the electric device, determining the charging power difference between the power generation power of the new energy of the power station and the power required for charging the electric device; Obtain the electricity price of the current period and the current power supply of the power station's energy storage battery, and establish a relationship function between the unit electricity price of the power station and the charging power difference, and characterize the charging power difference through the unit electricity price; The unit electricity price is used as the input variable of the fuzzy logic controller, and the output current of the energy storage battery is used as the output variable of the fuzzy logic controller; The output result of the fuzzy logic controller is used to control the size and direction of the output current of the energy storage battery to achieve the following control results: (1) When the generated power is less than the power required for charging, the current electricity price and the current power of the energy storage battery are used to determine whether the energy storage battery is used to charge the electric device; (2) When the generated power is greater than the power required for charging, the current electricity price and the current power of the energy storage battery are used to determine whether the excess power of the power station is fed back to the power grid or stored in the energy storage battery.

2. The method for refined energy management of a photovoltaic storage and charging integrated power station according to claim 1, characterized in that: The charging power difference is calculated using the following formula: ΔP=P PV -P EV , Where ΔP represents the charging power difference, P PV Represents the power generation of renewable energy in the power station, P EV Indicates the power required to charge an electric device.

3. The method for refined energy management of a photovoltaic storage and charging integrated power station according to claim 1, characterized in that: The relationship function is as follows: EC unit =((EP-EP min ) / (EP max -EP min ))((P rate -P ES -ΔP) / 2P rate ), Among them, EC unit Indicates the unit electricity price of the power station, EP indicates the electricity price in the current period, EP min Indicates the lowest electricity price of the day, EP max represents the highest electricity price of the day, P rate Indicates the rated power of the power grid, P ES Indicates the current power supply of the energy storage battery.

4. The method for refined energy management of a photovoltaic storage and charging integrated power station according to claim 3 is characterized in that: The method of using the unit electricity price as the input variable of the fuzzy logic controller and using the output current of the energy storage battery as the output variable of the fuzzy logic controller includes: The current power of the energy storage battery and the unit electricity price are used as input variables of the fuzzy logic controller, and the output current of the energy storage battery is used as the output variable.

5. The method for refined energy management of a photovoltaic storage and charging integrated power station according to claim 4 is characterized in that: When the generated power is less than the power required for charging, determining whether the energy storage battery is used to charge the electric device according to the electricity price in the current period and the current power of the energy storage battery includes: If the electricity price in the current period is higher than the standard electricity price range, and the current power of the energy storage battery is higher than the standard power range, the energy storage battery is controlled to charge the electric device; If the electricity price in the current period is higher than the standard electricity price range and the current power of the energy storage battery is lower than the standard power range, or if the electricity price in the current period is lower than the standard electricity price range and the current power of the energy storage battery is higher than the standard power range, the energy storage battery is controlled not to charge the electric device and the electric energy provided by the power grid is used to charge the electric device; If the electricity price in the current period is lower than the standard electricity price range, and the current power of the energy storage battery is lower than the standard power range, the control is to charge the energy storage battery.

6. The method for refined energy management of a photovoltaic storage and charging integrated power station according to claim 4 is characterized in that: When the power generation is greater than the power required for charging, the excess power of the power station is fed back to the grid or stored in the energy storage battery according to the current electricity price and the current power of the energy storage battery, including: If the electricity price in the current period is higher than the standard electricity price range, and the current power of the energy storage battery is higher than the standard power range, the excess power of the power station is controlled to be fed back to the grid; If the electricity price in the current period is higher than the standard electricity price range, and the current power of the energy storage battery is lower than the standard power range, or if the electricity price in the current period is lower than the standard electricity price range, and the current power of the energy storage battery is higher than the standard power range, the excess power of the power station is controlled to be fed back to the power grid; If the electricity price in the current period is lower than the standard electricity price range, and the current power level of the energy storage battery is lower than the standard power level range, the excess power of the power station will be controlled to be stored in the energy storage battery.

7. The method for refined energy management of a photovoltaic storage and charging integrated power station according to claim 4, characterized in that: The output result of the fuzzy logic controller is used to control the output current and flow direction of the energy storage battery to achieve the following control results: The output result of the fuzzy logic controller is used to control the output current of the energy storage battery, so that when the charging power difference changes, the current power supply power of the energy storage battery is controlled to change in the opposite direction of the charging power difference.

8. The method for refined energy management of a photovoltaic storage and charging integrated power station according to claim 7, characterized in that: The input and output of the fuzzy logic controller are respectively provided with membership functions.

9. The method for refined energy management of a photovoltaic storage and charging integrated power station according to claim 8, characterized in that: The membership function of the input of the fuzzy logic controller includes the following intervals: low interval, slightly low interval, middle interval, slightly high interval, and high interval; the membership function of the output of the fuzzy logic controller includes the following intervals: negative large interval, negative middle interval, negative small interval, zero interval, positive small interval, positive middle interval, and positive large interval.

10. A device for fine energy management of a photovoltaic storage and charging integrated power station, characterized in that: include: Power calculation unit, unit electricity price calculation unit and fuzzy logic controller unit, where: The power calculation unit is used to determine the charging power difference between the power generation power of the new energy source of the power station and the power required for charging the electric device when the power station is charging the electric device; The unit electricity price calculation unit is used to obtain the electricity price of the current period and the current power supply power of the power station energy storage battery, and establish a relationship function between the unit electricity price of the power station and the charging power difference, and characterize the charging power difference by the unit electricity price; The fuzzy logic controller unit is used to use the unit electricity price as the input variable of the fuzzy logic controller and the output current of the energy storage battery as the output variable of the fuzzy logic controller; the output result of the fuzzy logic controller is used to control the size and direction of the output current of the energy storage battery to achieve the following control results: (1) when the generated power is less than the power required for charging, it is determined whether the energy storage battery is charged for the electric device according to the electricity price in the current period and the current power of the energy storage battery; (2) when the generated power is greater than the power required for charging, it is determined whether the excess electric energy of the power station is fed back to the power grid or stored in the energy storage battery according to the electricity price in the current period and the current power of the energy storage battery.

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