Safe electricity utilization improving method for light-storage integrated green station

Abstract

The invention discloses a safe electricity utilization improving method for a light-storage integrated green station, and belongs to the technical field of green station power supply, and the method comprises the following steps: carrying out the power supply based on an electricity utilization demand through a power generation unit group; constructing a power generation cost model of the power generation unit; determining an initial virtual cost increment based on a power generation cost model and the initial output power of the power generation unit; updating the virtual cost increment of the power generation unit based on the virtual cost increment of the neighbor power generation unit; calculating the actual output power of the updated power generation unit based on the updated virtual cost increment of the power generation unit; checking supply and demand states based on the actual output power of the updated power generation unit; judging a convergence state based on the updated virtual cost increment of the power generation unit and the dynamic convergence threshold set; and distributing the actual output power of the power generation unit based on the converged actual output power of the power generation unit. The power generation cost can be reduced, high-quality and high-reliability power supply of the station can also be ensured, and station power supply is safe.

Description

Technical Field

[0001] The present invention relates to the technical field of station power supply, and in particular to a method for improving safe electricity use in a photovoltaic and energy-storage integrated green station. Background Art

[0002] The integrated photovoltaic and energy storage green station is a modern transportation hub that integrates photovoltaic power generation, energy storage systems and mains facilities to power the station. By rationally utilizing photovoltaic power generation, energy storage systems and mains facilities, this station can not only meet the station's electricity needs, but also reduce dependence on traditional power grids, lower carbon emissions, and maximize environmental protection and economic benefits.

[0003] In existing technologies, in order to reduce the operating costs of integrated photovoltaic and energy storage green stations and improve energy utilization, on the one hand, it is necessary to minimize operating costs to obtain the optimal scheduling results, that is, to allocate the power of photovoltaic, energy storage, mains electricity, controllable loads, etc. with the goal of minimizing power generation costs or fuel costs; on the other hand, it is also necessary to ensure the safe operation of the station power supply. Summary of the Invention

[0004] To solve the above problems, the present invention provides a method for improving safe electricity use in a photovoltaic and energy-storage integrated green station, comprising the following steps: Providing power based on demand through power generation units; Constructing a power generation cost model for power generation units; Determine the initial virtual cost increment based on the power generation cost model and the initial output power of the power generation unit; Updating the virtual cost increment of the power generation unit based on the virtual cost increment of the neighboring power generation unit; calculating the actual output power of the updated power generation unit based on the updated virtual cost increment of the power generation unit; Checking the supply and demand status based on the actual output power of the power generation units after the update; Determine the convergence state based on the updated virtual cost increment of the power generation unit and the dynamic convergence threshold set; The actual output power of the power generation unit is allocated based on the actual output power of the power generation unit after convergence.

[0005] In some embodiments, the power generation unit group includes: a photovoltaic power generation unit, an energy storage unit, and a mains power unit; The power generation cost model is:

[0006] in, For power generation unit The total cost, 、 、 are the parameters of the power generation cost model, For power generation unit The actual output active power; Arranged:

[0007] in, represents the power offset when the cost model reaches the minimum value, represents the curvature of the cost model, Indicates the lowest cost at minimum power output.

[0008] In some embodiments, the power generation unit Actual output active power The following constraints are met: The power generation constraints of the power generation unit are:

[0009] in, For power generation unit Lower limit of power generation, Power generation unit Upper limit of power generation; Electricity supply and demand balance constraints, specifically:

[0010] in, is the total electricity demand, is the number of power generation units, and satisfies .

[0011] In some embodiments, the method of determining the initial virtual cost increment based on the power generation cost model and the initial output power of the power generation unit is:

[0012] in, is the initial virtual cost increment; is the initial output power of the power generation unit.

[0013] In some embodiments, the virtual cost increment is updated as follows:

[0014] in, For power generation unit At time step Virtual cost increment; For power generation unit At time step The actual output power; Adjust parameters for time variation; is the global convergence factor; is the Laplace matrix element of the communication topology; Power generation unit for neighbors At time step The virtual cost increment.

[0015] In some embodiments, the time-varying adjustment parameter The calculation method is:

[0016] in, For power generation unit The virtual cost increment upper limit; For power generation unit The neighbor nodes at time step The maximum virtual cost increment; For power generation unit The lower limit of the upper saturation zone; For power generation unit The neighbor nodes at time step The maximum virtual cost increment; For power generation unit The lower limit of the virtual cost increment; Power generation unit The neighbor nodes at time step The minimum virtual cost increment; For power generation unit The upper limit of the lower saturation zone; For power generation unit The neighbor nodes at time step The minimum virtual cost increment.

[0017] In some embodiments, the actual output power of the updated power generation unit is calculated as follows:

[0018] in, For power generation unit At time step The actual output power; Adjust parameters for time variation; For power generation unit At time step The virtual cost increment.

[0019] In some embodiments, calculating the actual output power of the updated power generation unit based on the updated virtual cost increment of the power generation unit further includes: Hard constraint correction; The hard constraint modification includes: like , mandatory ; like , mandatory .

[0020] In some embodiments, checking the supply and demand status based on the actual output power of the updated power generation unit includes: Calculate the actual output power of the updated power generation unit group; The actual output power of the power generation unit group is calculated as follows:

[0021] in, is the actual output power of the power generation unit group, is the number of power generation units, For power generation unit At time step The actual output power; Correcting the supply and demand balance based on the actual output power of the updated power generation unit group; The specific method is:

[0022] Indicates that the power generation unit At time step Increased power output ,in is the total power deviation, is the number of power generation units.

[0023] In some embodiments, the dynamic convergence threshold set refers to a threshold set used to determine the convergence state, and the convergence state is determined by calculating the range between the virtual cost increments of each power generation unit after the update, and comparing the range between the virtual cost increments of each power generation unit after the update with the threshold in the dynamic convergence threshold set; The dynamic threshold is calculated as follows:

[0024] in, is the dynamic convergence threshold, is the initial dynamic convergence threshold, is the adjustment coefficient, Control the impact of power changes on thresholds; for power generation units At time step The actual output power; For power generation unit At time step The actual output power.

[0025] By adopting the above technical solution, the present invention mainly has the following technical effects: By allocating the actual output power of the power generation unit after convergence and supply and demand balance correction to the corresponding power generation unit, the power generation unit can supply power according to the allocated actual output power. On the one hand, it can reduce the power generation cost, and on the other hand, it can ensure high-quality and highly reliable power supply to the station, so that the station power supply can operate safely. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a flow chart of a method for improving safe electricity use in a green station with integrated photovoltaic and storage systems. DETAILED DESCRIPTION

[0027] To more clearly illustrate the technical solutions of the embodiments of this specification, the following briefly describes the drawings required for describing the embodiments. Obviously, the drawings described below are merely examples or embodiments of this specification. Those skilled in the art can apply this specification to other similar scenarios based on these drawings without inventive effort. Unless otherwise apparent from the context or otherwise noted, the same reference numerals in the figures represent the same structure or operation.

[0028] It should be understood that the terms "system," "unit," and / or "module" used herein are a method for distinguishing different components, elements, parts, portions, or assemblies at different levels. However, other terms may be used to replace the terms if they can achieve the same purpose.

[0029] As used in this specification, unless the context clearly indicates otherwise, the words "a," "an," "an," and / or "the" are not intended to refer to the singular but may include the plural. Generally speaking, the terms "comprise" and "include" only indicate the inclusion of the steps and elements specifically identified, and these steps and elements do not constitute an exclusive list. A method or apparatus may also include other steps or elements.

[0030] Flowcharts are used throughout this specification to illustrate the operations performed by systems according to embodiments of this specification. It should be understood that preceding or following operations do not necessarily need to be performed in exact order. Instead, the steps may be processed in reverse order or simultaneously. Furthermore, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0031] See also Figure 1 The present invention provides a method for improving safe electricity use in a photovoltaic and energy storage integrated green station, comprising the following steps: S1. Power supply based on power demand through power generation unit group; In some embodiments, the power generation unit group refers to a collection of power supply units in a green station that can provide energy for normal operation of the station.

[0032] In some embodiments, the power generation unit group may include: a photovoltaic power generation unit, an energy storage unit, and a mains power unit. For example, the photovoltaic power generation unit may be a photovoltaic system that uses solar panels to convert sunlight into electrical energy, which is then used to supply power to the green station. The energy storage unit may be excess stored electrical energy to supply power to the green station when needed. Exemplary energy storage units include batteries (e.g., lithium-ion batteries, lead-acid batteries), supercapacitors, and energy storage inverters. Mains power may be electricity provided by a public power grid. Exemplary mains power grids typically consist of power plants, transmission lines, and distribution networks, providing a stable power supply to the green station.

[0033] In some embodiments, the electricity demand refers to the total electricity demand of the green station, also known as power load or power demand, which refers to the total demand for electricity by users of the green station within a specific time.

[0034] In some embodiments, the initial output power of the power generation unit group can be distributed evenly to each power generation unit to supply power to the green station. For example, the total power demand of the green station is , then the total power supply of the photovoltaic power generation unit is , the total power supply of the energy storage unit is , the total power supply of the mains unit is .

[0035] S2. Constructing a power generation cost model for the power generation unit; In some embodiments, the power generation cost model may be a model that reflects the change in the power generation cost of the power generation unit as a function of the active power actually output by the power generation unit.

[0036] In some embodiments, the power generation cost model may be:

[0037] in, For power generation unit The total cost, 、 、 are the parameters of the power generation cost model, For power generation unit The actual output active power; Arranged:

[0038] in, represents the power offset when the cost model reaches the minimum value, represents the curvature of the cost model, Indicates the lowest cost at minimum power output.

[0039] In some embodiments, the power generation unit Actual output active power The following constraints are met: The power generation constraints of the power generation unit are:

[0040] in, For power generation unit Lower limit of power generation, Power generation unit Upper limit of power generation; The reason is that each power generation unit Power generation Must be at its minimum power generation and maximum power generation to ensure that the power generation unit operates within a safe and economically feasible range and to prevent equipment damage or unstable operation.

[0041] Electricity supply and demand balance constraints, specifically:

[0042] in, is the total electricity demand, is the number of power generation units, and satisfies .

[0043] The reason for this is that the total power generated by all power generation units must be equal to the total power demand of the power system. To ensure the real-time supply and demand balance of the power system and prevent grid frequency fluctuations or power outages. It must be between the sum of the minimum and maximum generating capacities of all power generation units to ensure that the total demand of the system is within a feasible range, neither exceeding the maximum generating capacity of all power generation units nor falling below their minimum generating capacity, thereby ensuring the operability and dispatchability of the system.

[0044] S3. determining an initial virtual cost increment based on a power generation cost model and an initial output power of the power generation unit; In some embodiments, the initial output power of the power generation unit refers to the actual active power initially output by the power generation unit. For example, the total power demand of the green station is , then the initial output power of the photovoltaic power generation unit is , the initial output power of the energy storage unit is , the initial output power of the mains unit is .

[0045] In some embodiments, the initial virtual cost increment refers to a cost change caused by a change in power allocation of the power generation unit when the power generation unit is in operation.

[0046] In some embodiments, the method of determining the initial virtual cost increment based on the power generation cost model and the initial output power of the power generation unit is:

[0047] in, is the initial virtual cost increment; is the initial output power of the power generation unit.

[0048] S4. updating the virtual cost increment of the power generation unit based on the virtual cost increment of the neighboring power generation unit; In some embodiments, after obtaining the initial virtual cost increment of each power generation unit, the initial virtual cost increment of each power generation unit can be interacted to make the initial virtual cost increment of each power generation unit the same, thereby updating the virtual cost increment of each power generation unit.

[0049] The reason for this is that, through coordinated control strategies, when the incremental cost of each generating unit is consistent, the entire power system can achieve optimal economic operation. This means that the cost increments of each generating unit are consistent, ensuring that each unit experiences the same cost change when increasing its power generation. This allows for the rational allocation of power generation tasks based on the costs of each generating unit, preventing overgeneration by high-cost units and ultimately achieving optimal economic operation.

[0050] In some embodiments, the virtual cost increment is updated as follows:

[0051] in, For power generation unit At time step Virtual cost increment; For power generation unit At time step The actual output power; Adjust parameters for time variation; is the global convergence factor; is the Laplace matrix element of the communication topology; Power generation unit for neighbors At time step The virtual cost increment.

[0052] In some embodiments, to dynamically adjust the virtual cost increment The update weights ensure that the power transitions smoothly in the saturation region. The time-varying adjustment parameters The calculation method is:

[0053] in, For power generation unit The virtual cost increment upper limit; For power generation unit The neighbor nodes at time step The maximum virtual cost increment; For power generation unit The lower limit of the upper saturation zone; For power generation unit The neighbor nodes at time step The maximum virtual cost increment; For power generation unit The lower limit of the virtual cost increment; Power generation unit The neighbor nodes at time step The minimum virtual cost increment; For power generation unit The upper limit of the lower saturation zone; For power generation unit The neighbor nodes at time step The minimum virtual cost increment.

[0054] In some embodiments, the power generation unit The lower limit of the upper saturation zone It is a parameter that characterizes that the power of the power generation unit is close to the upper limit. When the power generation unit is close to the upper limit, it enters the upper saturation zone. When the output power of the power generation unit approaches the upper limit, make The maximum virtual cost increment of approaching neighbor nodes , suppressing power growth.

[0055] In some embodiments, the power generation unit The upper limit of the lower saturation zone It is a parameter that characterizes the power of the power generation unit approaching the lower limit. When the power generation unit is close to the lower limit, it enters the lower saturation zone. , by magnifying make Approaching the minimum virtual cost increment of neighboring nodes slows down power growth.

[0056] In some embodiments, This indicates that the maximum virtual cost increment of the neighboring node is higher than the local theoretical upper limit. At this time, the local power is close to the upper limit and its growth needs to be limited. This indicates that the minimum virtual cost increment of the neighboring node is lower than the local theoretical lower limit. At this time, the local power is close to the lower limit and needs to be prevented from dropping suddenly.

[0057] In some embodiments, the power generation unit The lower limit of the upper saturation zone , power generation unit The upper limit of the lower saturation zone , power generation unit The neighbor nodes at time step Maximum virtual cost increment Power generation unit The neighbor nodes at time step The minimum virtual cost increment It can be obtained through pre-setting and database.

[0058] In some embodiments, the power generation unit The virtual cost increment upper limit The theoretical marginal cost of the power generation unit when the power reaches the upper limit is calculated by the power upper limit. It represents the theoretical marginal cost when the power of the power generation unit reaches the lower limit, which is calculated by the power upper limit.

[0059] pass Dynamic adjustment smoothly coordinates virtual cost increments when power approaches upper and lower limits, avoiding sudden changes. The synergy of various symbols ensures a balanced balance of economy, security, and robustness in a distributed architecture, thus avoiding the oscillations caused by traditional hard truncation.

[0060] S5. Calculating the actual output power of the updated power generation unit based on the updated virtual cost increment of the power generation unit; In some embodiments, the actual output power of the updated power generation unit can be calculated using the virtual cost increment of the updated power generation unit.

[0061] In some embodiments, the actual output power of the updated power generation unit is calculated as follows:

[0062] in, For power generation unit At time step The actual output power; Adjust parameters for time variation; For power generation unit At time step Virtual cost increment; In some embodiments, calculating the actual output power of the updated power generation unit based on the updated virtual cost increment of the power generation unit further includes: S501, hard constraint correction; In some embodiments, hard constraint correction refers to ensuring that certain constraints must be strictly satisfied by directly modifying the model structure or algorithm steps.

[0063] In some embodiments, the hard constraint modification includes: 1. If , mandatory ; 2. If , mandatory .

[0064] By enforcing The boundary of , ensuring that its value remains at the minimum power generation at each time step and maximum power generation to ensure that the power generation unit operates within a safe and economically feasible range and to prevent equipment damage or unstable operation.

[0065] S6. Checking the supply and demand status based on the actual output power of the updated power generation unit; In some embodiments, the sum of the actual output power of each power supply unit can be compared with the total power demand to determine the supply and demand status of the power generation unit group. When the sum of the actual output power of each power supply unit is equal to the total power demand, it indicates that the power demand weight of the power supply unit group and the station has reached a supply and demand balance; when the sum of the actual output power of each power supply unit is not equal to the total power demand, it indicates that the power demand weight of the power supply unit group and the station has not reached a supply and demand balance, and the actual output power of each power supply unit needs to be corrected to ensure that the power demand weight of the power supply unit group and the station has reached a supply and demand balance.

[0066] In some embodiments, checking the supply and demand status based on the actual output power of the updated power generation unit includes: S601, calculating the actual output power of the updated power generation unit group; In some embodiments, the actual output power of the power generation unit group is calculated as follows:

[0067] in, is the actual output power of the power generation unit group, is the number of power generation units, For power generation unit At time step The actual output power.

[0068] S602, performing supply and demand balance correction based on the actual output power of the updated power generation unit group; In some embodiments, the actual output power of each power generation unit can be adjusted according to the ratio so that the actual output power of the power generation unit group and the power demand weight of the station reach a supply and demand balance.

[0069] The specific method is:

[0070] Indicates that the power generation unit At time step Increased power output ,in is the total power deviation, is the number of power generation units.

[0071] S7. Determine the convergence state based on the updated virtual cost increment of the power generation unit and the dynamic convergence threshold set; In some embodiments, the convergence state is used to describe the interaction of the initial virtual cost increments of each power generation unit to push the initial virtual cost increments of each power generation unit to the same extent. When the difference between the initial virtual cost increments of each power generation unit is within a certain range, it means that the initial virtual cost increments of each power generation unit are close and the convergence state is met. Otherwise, it is a non-convergence state and needs to continue iteration.

[0072] In some embodiments, after updating the virtual cost increments of each power generation unit after adjusting the output power, it may be determined whether to continue updating the virtual cost increments of the power generation units based on the differences in the virtual cost increments between the power generation units.

[0073] The dynamic convergence threshold set refers to a threshold set used to determine the convergence state. In some embodiments, the convergence state can be confirmed by calculating the range between the virtual cost increments of each power generation unit after the update and comparing the range between the virtual cost increments of each power generation unit after the update with the threshold in the dynamic convergence threshold set. When the range between the virtual cost increments of each power generation unit after the update is greater than the threshold in the dynamic convergence threshold set, it is a non-convergence state, and the process returns to step S4, using the updated virtual cost increments of the power generation unit as the virtual cost increments, and updating the Laplace matrix , and then continue to update the virtual cost increment of the power generation unit based on the virtual cost increment of the neighboring power generation unit until the range between the virtual cost increments of each power generation unit after the update is less than the threshold in the dynamic convergence threshold set.

[0074] In some embodiments, the dynamic convergence threshold is calculated as follows:

[0075] in, is the dynamic convergence threshold, is the initial dynamic convergence threshold, is the adjustment coefficient, which controls the effect of power changes on the threshold; For power generation unit At time step The actual output power; For power generation unit At time step The actual output power.

[0076] In some embodiments, by designing the dynamic convergence threshold value to be set based on the power change, the convergence threshold is relaxed when the power fluctuates greatly, and the convergence threshold is tightened after stabilization. For example, it can cope with the fluctuations caused by weather on photovoltaic power generation units, greatly reduce false alarms caused by mismatch between convergence threshold and scene, and improve the safety performance of station electricity use.

[0077] S8. allocating the actual output power of the power generation unit based on the actual output power of the power generation unit after convergence; In some embodiments, after determining that the convergence state is convergent, the actual output power of the power generation unit after the supply and demand balance is corrected can be allocated to the corresponding power generation unit, so that the power generation unit can supply power according to the allocated actual output power. While reducing the power generation cost, it ensures high-quality and highly reliable power supply to the station, ensuring safe operation of the station power supply.

[0078] The second aspect of the present invention provides a safe electricity use system for a photovoltaic and energy storage integrated green station, which is used to implement the aforementioned safe electricity use method for the photovoltaic and energy storage integrated green station. It includes: A power generation unit group, used to supply power to the station; A construction module for constructing a power generation cost model of a power generation unit; a determination module, for determining an initial virtual cost increment; An updating module, used for updating the virtual cost increment of the power generation unit; A calculation module, used for calculating the actual output power of the power generation unit after the update; Detection module, used to check the supply and demand status of the power supply unit group and the station power demand weight; A judgment module is used to judge the convergence state; The distribution module is used to distribute the actual output power of the power generation unit.

[0079] A third aspect of the present invention provides a computer-readable storage medium that stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes the safe electricity use method for the aforementioned integrated photovoltaic and energy storage green station.

[0080] While the basic concepts have been described above, it will be apparent to those skilled in the art that the detailed disclosure is merely illustrative and does not limit this specification. Although not explicitly stated herein, various modifications, improvements, and revisions to this specification may be made by those skilled in the art. Such modifications, improvements, and revisions are suggested in this specification and remain within the spirit and scope of the exemplary embodiments of this specification.

[0081] This specification also uses specific terms to describe the embodiments of this specification. For example, "some embodiments" refers to a feature, structure, or characteristic associated with at least one embodiment of this specification. Therefore, it should be emphasized and noted that mentioning "some embodiments" two or more times in different places in this specification does not necessarily refer to the same embodiment. Furthermore, certain features, structures, or characteristics in some embodiments of this specification may be appropriately combined.

[0082] Finally, it should be understood that the embodiments described in this specification are intended only to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, by way of example and not limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly described and illustrated in this specification.

Claims

1. A method for improving safe electricity use in a photovoltaic and energy storage integrated green station, characterized in that: The following steps are involved: Providing power based on demand through power generation units; Constructing a power generation cost model for power generation units; Determine the initial virtual cost increment based on the power generation cost model and the initial output power of the power generation unit; Updating the virtual cost increment of the power generation unit based on the virtual cost increment of the neighboring power generation unit; calculating the actual output power of the updated power generation unit based on the updated virtual cost increment of the power generation unit; Checking the supply and demand status based on the actual output power of the power generation units after the update; Determine the convergence state based on the updated virtual cost increment of the power generation unit and the dynamic convergence threshold set; The actual output power of the power generation unit is allocated based on the actual output power of the power generation unit after convergence.

2. The method for improving safe electricity use in a photovoltaic and energy storage integrated green station according to claim 1, characterized in that: The power generation unit group includes: a photovoltaic power generation unit, an energy storage unit, and a mains power unit; The power generation cost model is: ， in, For power generation unit The total cost, 、 、 are the parameters of the power generation cost model, For power generation unit The actual output active power; Arranged: ， in, represents the power offset when the cost model reaches the minimum value, represents the curvature of the cost model, Indicates the lowest cost at minimum power output.

3. The method for improving safe electricity use in a photovoltaic and energy storage integrated green station according to claim 2, characterized in that: The power generation unit Actual output active power The following constraints are met: The power generation constraints of the power generation unit are: ， in, For power generation unit Lower limit of power generation, Power generation unit Upper limit of power generation; Electricity supply and demand balance constraints, specifically: ， in, is the total electricity demand, is the number of power generation units, and satisfies .

4. The method for improving safe electricity use in a photovoltaic and energy storage integrated green station according to claim 3, characterized in that: The method for determining the initial virtual cost increment based on the power generation cost model and the initial output power of the power generation unit is: ， in, is the initial virtual cost increment; is the initial output power of the power generation unit.

5. The method for improving safe electricity use in a photovoltaic and energy storage integrated green station according to claim 4, characterized in that: The virtual cost increment is updated as follows: ， in, For power generation unit At time step Virtual cost increment; For power generation unit At time step The actual output power; Adjust parameters for time variation; is the global convergence factor; is the Laplace matrix element of the communication topology; Power generation unit for neighbors At time step The virtual cost increment.

6. The method for improving safe electricity use in a photovoltaic and energy storage integrated green station according to claim 5, characterized in that: The time-varying adjustment parameter The calculation method is: ， in, For power generation unit The virtual cost increment upper limit; For power generation unit The neighbor nodes at time step The maximum virtual cost increment; For power generation unit The lower limit of the upper saturation zone; For power generation unit The neighbor nodes at time step The maximum virtual cost increment; For power generation unit The lower limit of the virtual cost increment; Power generation unit The neighbor nodes at time step The minimum virtual cost increment; For power generation unit The upper limit of the lower saturation zone; For power generation unit The neighbor nodes at time step The minimum virtual cost increment.

7. The method for improving safe electricity use in a photovoltaic and energy storage integrated green station according to claim 6, characterized in that: The actual output power of the updated power generation unit is calculated as follows: ， in, For power generation unit At time step The actual output power; Adjust parameters for time variation; For power generation unit At time step The virtual cost increment.

8. The method for improving safe electricity use in a photovoltaic and energy storage integrated green station according to claim 7, characterized in that: The calculating of the actual output power of the updated power generation unit based on the updated virtual cost increment of the power generation unit further includes: Hard constraint correction; The hard constraint modification includes: like , mandatory ; like , mandatory .

9. The method for improving safe electricity use in a photovoltaic and energy storage integrated green station according to claim 8, characterized in that: The checking of the supply and demand status based on the actual output power of the updated power generation unit includes: Calculate the actual output power of the updated power generation unit group; The actual output power of the power generation unit group is calculated as follows: ， in, is the actual output power of the power generation unit group, is the number of power generation units, For power generation unit At time step The actual output power; Correcting the supply and demand balance based on the actual output power of the updated power generation unit group; The specific method is: ， Indicates that the power generation unit At time step Increased power output ,in is the total power deviation, is the number of power generation units.

10. The method for improving safe electricity use in a photovoltaic and energy storage integrated green station according to claim 1, characterized in that: The dynamic convergence threshold set refers to a threshold set used to determine the convergence state, and the convergence state is determined by calculating the range between the virtual cost increments of each power generation unit after the update, and comparing the range between the virtual cost increments of each power generation unit after the update with the threshold in the dynamic convergence threshold set; The dynamic convergence threshold is calculated as follows: ， in, is the dynamic convergence threshold, is the initial dynamic convergence threshold, is the adjustment coefficient, which controls the effect of power changes on the threshold; For power generation unit At time step The actual output power; For power generation unit At time step The actual output power.

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