A method for improving safe electricity utilization of a green station integrating light and storage

Abstract

The application discloses a safe power utilization improvement method for a light storage integrated green station, and belongs to the technical field of green station power supply, and comprises the following steps: power supply is performed by a power generation unit group based on power utilization demand; a power generation cost model of the power generation unit is constructed; an initial virtual cost increment is determined based on the power generation cost model and initial output power of the power generation unit; the virtual cost increment of the power generation unit is updated based on the virtual cost increment of a neighbor power generation unit; actual output power of the power generation unit after update is calculated based on the virtual cost increment of the power generation unit after update; a supply-demand state is checked based on the actual output power of the power generation unit after update; a convergence state is judged based on the virtual cost increment of the power generation unit after update and a dynamic convergence threshold set; and actual output power of the power generation unit is distributed based on the actual output power of the power generation unit after convergence. The application can reduce power generation cost, and can also ensure high-quality and high-reliable power supply of the station, so that the station can be safely and stably powered.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of station power supply, in particular to a safety power consumption improvement method of a light-storage integrated green station. BACKGROUND

[0002] The light-storage integrated green station is a kind of modern transportation hub that integrates photovoltaic power generation, energy storage system and city power supply facilities to supply power for the station. This kind of station can reasonably utilize photovoltaic power generation, energy storage system and city power supply facilities to meet the power demand of the station, reduce the dependence on traditional power grid, reduce carbon emissions, and maximize environmental protection and economic benefits.

[0003] In the prior art, in order to reduce the operation cost of the light-storage integrated green station and improve the energy utilization rate, on the one hand, the operation cost needs to be reduced to obtain the optimal scheduling result, that is, the photovoltaic power, energy storage, city power and controllable load are distributed to achieve the lowest power generation cost or fuel cost, and on the other hand, the safe operation of the station power supply needs to be met. SUMMARY

[0004] To solve the above problems, the present application provides a safety power consumption improvement method of a light-storage integrated green station, comprising the following steps:

[0005] The power supply is based on the power demand by the power generation unit group;

[0006] A power generation cost model of the power generation unit is constructed;

[0007] An initial virtual cost increment is determined based on the power generation cost model and the initial output power of the power generation unit;

[0008] The virtual cost increment of the power generation unit is updated based on the virtual cost increment of the neighbor power generation unit;

[0009] The actual output power of the updated power generation unit is calculated based on the updated virtual cost increment of the power generation unit;

[0010] The supply-demand state is checked based on the actual output power of the updated power generation unit;

[0011] The convergence state is judged based on the updated virtual cost increment of the power generation unit and the dynamic convergence threshold set;

[0012] The actual output power of the power generation unit is distributed based on the actual output power of the converged power generation unit.

[0013] In some embodiments, the power generation unit group includes a photovoltaic power generation unit, an energy storage unit, and a city power unit;

[0014] The power generation cost model is:

[0015]

[0016] wherein, is the total cost of the power generation unit, , , , are parameters of the power generation cost model respectively, is the actual output active power of the power generation unit, ;

[0017] It is obtained:

[0018]

[0019] wherein, represents the power offset when the cost model reaches the minimum value, represents the curvature of the cost model, represents the minimum cost at the minimum power output.

[0020] In some embodiments, the actual output active power of the power generation unit satisfies the following constraints:

[0021] The power generation constraints of the power generation unit, specifically:

[0022]

[0023] wherein, is the lower limit of the power generation of the power generation unit, is the upper limit of the power generation of the power generation unit; The power supply and demand balance constraint, specifically:

[0024]

[0025]

[0026] wherein, is the total amount of electricity demand, is the number of power generation units, and satisfies .

[0027] In some embodiments, the way 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:

[0028]

[0029] wherein, is the initial virtual cost increment; is the initial output power of the power generation unit.

[0030] ​​​In some embodiments, the virtual cost increment is updated in a manner of:

[0031]

[0032] wherein, is the virtual cost increment of the generating unit at time step ; is the actual output power of the generating unit at time step ; is a time-varying adjustment parameter; is a global convergence factor; is a Laplacian matrix element of the communication topology; is a neighbor generating unit of the generating unit ;

[0033] In some embodiments, the time-varying adjustment parameter is calculated in a manner of:

[0034]

[0035] wherein, is an upper limit of the virtual cost increment of the generating unit ; is a maximum virtual cost increment of a neighbor node of the generating unit at time step ; is a lower limit of the upper saturation region of the generating unit ; is a maximum virtual cost increment of a neighbor node of the generating unit at time step ; is a lower limit of the virtual cost increment of the generating unit ; is a minimum virtual cost increment of a neighbor node of the generating unit at time step ; is an upper limit of the lower saturation region of the generating unit ; is a minimum virtual cost increment of a neighbor node of the generating unit at time step .

[0036] In some embodiments, the actual output power of the generating unit after the update is calculated in a manner of:

[0037]

[0038] wherein, for the power generation unit at the time step the actual output power; for the time-varying adjustment parameter; for the power generation unit at the time step the virtual cost increment.

[0039] In some embodiments, the calculating the actual output power of the updated power generation unit based on the updated virtual cost increment of the power generation unit further comprises:

[0040] a hard constraint correction;

[0041] the hard constraint correction comprises:

[0042] if , forcing ;

[0043] if , forcing .

[0044] In some embodiments, the checking the supply-demand state based on the actual output power of the updated power generation unit further comprises:

[0045] calculating the actual output power of the updated power generation unit group;

[0046] the actual output power of the power generation unit group is calculated in the following manner:

[0047]

[0048] wherein, is the actual output power of the power generation unit group, is the number of power generation units, is the actual output power of the power generation unit at the time step ;

[0049] performing a supply-demand balance correction based on the actual output power of the updated power generation unit group;

[0050] in the following manner:

[0051]

[0052] represents increasing the power output of the power generation unit at the time step by , wherein is the total power deviation, is the number of power generation units.

[0053] In some embodiments, the dynamic convergence threshold set refers to a set of thresholds for judging a convergence state, and the convergence state is judged by calculating the range of the virtual cost increments of the generating units after updating and comparing the range of the virtual cost increments of the generating units after updating with the thresholds in the dynamic convergence threshold set.

[0054] The dynamic threshold is calculated in the following manner:

[0055]

[0056] wherein, is the dynamic convergence threshold, is the initial dynamic convergence threshold, is the adjustment coefficient, controls the influence of power change on the threshold; is the generating unit is the actual output power of the generating unit at the time step is the actual output power of the generating unit at the time step .

[0057] By adopting the technical solution, the application mainly has the following technical effects:

[0058] By distributing the actual output power of the generating unit after convergence and supply-demand balance correction to the corresponding generating unit, the generating unit supplies power according to the distributed actual output power, which can reduce the power generation cost and ensure high-quality and high-reliable power supply of the station, so as to ensure safe operation of the station power supply. BRIEF DESCRIPTION OF DRAWINGS

[0059] Figure 1 is a flowchart of a safety power consumption improvement method of a light storage integrated green station. DETAILED DESCRIPTION

[0060] In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the following will briefly introduce the drawings needed to be used in the embodiment description. Obviously, the drawings in the following description are only some examples or embodiments of the present specification, and for those skilled in the art, the present specification can also be applied to other similar scenarios without creative labor. Unless it is obvious from the language environment or otherwise stated, the same reference numbers in the drawings represent the same structures or operations.

[0061] It should be understood that the "system", "unit" and / or "module" used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

[0062] As used in this specification, unless expressly stated to the contrary "an" or "one" or "a single" or "the" etc. refer to "one or more" and not to just "one" unless expressly stated otherwise. Generally the term "comprising" or "including" or "containing" is used herein in the sense of "including but not limited to".

[0063] Flow diagrams are used in this specification to illustrate the operation of systems in accordance with embodiments of the present specification. It is to be understood that the operations in the figures need not necessarily be performed in the order illustrated. Rather, various steps can be handled in an order different than that of the preceding or following figures. Further, other operations can be added or removed from these processes, or one or more operations can be added to or removed from these processes.

[0064] Referring to Figure 1 The present application provides a method for improving the safety of electricity use in a green station with integrated light and storage, comprising the following steps:

[0065] S1, supplying power based on electricity demand by a set of power generation units;

[0066] In some embodiments, the set of power generation units refers to a set of power supply units in the green station that can provide energy for the normal operation of the station.

[0067] In some embodiments, the set of power generation units can include a photovoltaic power generation unit, a storage unit, and a city power unit. For example, the photovoltaic power generation unit can be a photovoltaic system that converts sunlight into electrical energy using solar panels and then supplies power to the green station; the storage unit can store excess electrical energy to supply power to the green station when needed, exemplary storage units include batteries (such as lithium-ion batteries, lead-acid batteries), supercapacitors, and energy storage inverters; city power can be power provided by a public power grid, an exemplary city power grid is typically composed of power plants, transmission lines, and distribution networks to provide stable power supply to the green station.

[0068] In some embodiments, the electricity demand refers to the total amount of electrical energy demand of the green station, also known as power load or power demand, which refers to the total demand for electrical energy by users of the green station at a particular time.

[0069] In some embodiments, the initial output power of the set of power generation units can be supplied to the green station by averaging the power supply to each power generation unit. For example, if the total amount of electrical energy demand of the green station is , the total amount of power supply of the photovoltaic power generation unit is , the total amount of power supply of the storage unit is , and the total amount of power supply of the city power unit is .

[0070] S2. Constructing a power generation cost model for the power generation unit;

[0071] 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.

[0072] In some embodiments, the power generation cost model may be:

[0073]

[0074] 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;

[0075] Arranged:

[0076]

[0077] 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.

[0078] In some embodiments, the power generation unit Actual output active power The following constraints are met:

[0079] The power generation constraints of the power generation unit are:

[0080]

[0081] in, For power generation unit Lower limit of power generation, Power generation unit Upper limit of power generation capacity;

[0082] 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.

[0083] The power supply and demand balance constraint is specifically:

[0084]

[0085] wherein, is the total power demand, is the number of power generation units, and satisfies .

[0086] The reason is that the total power generation of 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 power grid frequency fluctuations or power outage accidents. The total demand of the power system must be between the sum of the minimum power generation capacity and the sum of the maximum power generation capacity of all power generation units to ensure that the total demand of the system is within a feasible range, neither exceeding the maximum power generation capacity of all power generation units nor falling below their minimum power generation capacity, thereby ensuring the operability and schedulability of the system.

[0087] S3, determining an initial virtual cost increment based on the power generation cost model and the initial output power of the power generation unit;

[0088] In some embodiments, the initial output power of the power generation unit refers to the active power of the initial actual output of the power generation unit. For example, if 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 , and the initial output power of the city power unit is .

[0089] In some embodiments, the initial virtual cost increment refers to the change in cost caused by changes in power allocation of the power generation unit when the power generation unit is running.

[0090] In some embodiments, the way to determine the initial virtual cost increment based on the power generation cost model and the initial output power of the power generation unit is:

[0091]

[0092] wherein, is the initial virtual cost increment; is the initial output power of the power generation unit.

[0093] S4, updating the virtual cost increment of the power generation unit based on the virtual cost increment of the neighbor power generation unit;

[0094] In some embodiments, after obtaining the initial virtual cost increment of each generating unit, the initial virtual cost increment of each generating unit can be updated by interacting the initial virtual cost increment of each generating unit, so as to make the initial virtual cost increment of each generating unit the same.

[0095] The reason is that, by coordinating the control strategy, the economic optimal operation of the entire power system can be achieved when the cost increment of each generating unit is consistent. That is, the cost increment of each generating unit is consistent, which can ensure that the cost change of each generating unit when increasing power generation is the same, so that the power generation task can be reasonably allocated according to the cost of each generating unit, and over-generation of high-cost units can be avoided, thereby achieving economic optimization.

[0096] In some embodiments, the updating method of the virtual cost increment is:

[0097]

[0098] wherein, is the virtual cost increment of the generating unit at time step ; is the actual output power of the generating unit at time step ; is a time-varying adjustment parameter; is a global convergence factor; is an element of the Laplacian matrix of the communication topology; is the virtual cost increment of the neighbor generating unit at time step .

[0099] In some embodiments, the updating weight of the virtual cost increment is dynamically adjusted to ensure smooth transition in the saturation region, and the calculation method of the time-varying adjustment parameter is:

[0100]

[0101] wherein, is the upper limit of the virtual cost increment of the generating unit ; is the maximum virtual cost increment of the neighbor node of the generating unit at time step ; is the lower limit of the upper saturation region of the generating unit ; is the maximum virtual cost increment of the neighbor node of the generating unit at time step ; 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.

[0102] 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.

[0103] 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 and slowing down power growth.

[0104] 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.

[0105] 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 The pre-sets and the database can be obtained in advance.

[0106] In some embodiments, the power generation unit The upper limit of the virtual cost increment of the power generation unit represents the theoretical marginal cost when the power of the power generation unit reaches the upper limit, which is calculated by the upper limit of power. The lower limit of the virtual cost increment of the power generation unit represents the theoretical marginal cost when the power of the power generation unit reaches the lower limit, which is calculated by the upper limit of power.

[0107] By dynamic adjustment, the virtual cost increment is smoothly coordinated when the power is close to the upper and lower limits, avoiding sudden changes. The synergistic effect of various symbols ensures that economic efficiency, safety and robustness are considered under the distributed architecture, thereby avoiding oscillation caused by traditional hard truncation.

[0108] S5, calculating the actual output power of the updated power generation unit based on the updated virtual cost increment of the power generation unit;

[0109] In some embodiments, the actual output power of the updated power generation unit can be calculated by the updated virtual cost increment of the power generation unit.

[0110] In some embodiments, the calculation method of the actual output power of the updated power generation unit is:

[0111]

[0112] wherein, is the actual output power of the power generation unit at time step ; is a time-varying adjustment parameter; is the virtual cost increment of the power generation unit at time step ;

[0113] In some embodiments, the calculation of the actual output power of the updated power generation unit based on the updated virtual cost increment of the power generation unit further comprises:

[0114] S501, hard constraint correction;

[0115] In some embodiments, the hard constraint correction refers to directly modifying the model structure or algorithm steps to ensure that certain constraint conditions must be strictly met.

[0116] In some embodiments, the hard constraint correction comprises:

[0117] 1. If , force ;

[0118] 2. If , mandatory .

[0119] 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.

[0120] S6. Checking the supply and demand status based on the actual output power of the updated power generation unit;

[0121] 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.

[0122] In some embodiments, checking the supply and demand status based on the actual output power of the updated power generation unit includes:

[0123] S601, calculating the actual output power of the updated power generation unit group;

[0124] In some embodiments, the actual output power of the power generation unit group is calculated as follows:

[0125]

[0126] 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.

[0127] S602, performing supply and demand balance correction based on the actual output power of the updated power generation unit group;

[0128] 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.

[0129] The specific method is:

[0130]

[0131] represents the power output of the power generation unit at time step is increased by wherein is the total power deviation, is the number of power generation units.

[0132] S7, judging the convergence state based on the updated virtual cost increment of each power generation unit and the dynamic convergence threshold set;

[0133] In some embodiments, the convergence state is used to describe the interaction of the initial virtual cost increment of each power generation unit, and the degree to which the initial virtual cost increment of each power generation unit is pushed to be the same. When the difference between the initial virtual cost increment of each power generation unit is within a certain range, it indicates that the initial virtual cost increment of each power generation unit is close, and the convergence state is satisfied. Otherwise, it is an un-converged state, and iteration needs to continue.

[0134] In some embodiments, after updating the virtual cost increment of each power generation unit after adjusting the output power of each power generation unit, it can be judged whether to continue to update the virtual cost increment of the power generation unit based on the difference between the virtual cost increment of each power generation unit.

[0135] The dynamic convergence threshold set refers to a set of thresholds for judging the convergence state. In some embodiments, the convergence state can be confirmed by calculating the range of the updated virtual cost increment of each power generation unit and comparing the range of the updated virtual cost increment of each power generation unit with the threshold in the dynamic convergence threshold set. When the range of the updated virtual cost increment of each power generation unit is greater than the threshold in the dynamic convergence threshold set, it is an un-converged state, and step S4 is returned. The updated virtual cost increment of the power generation unit is used as the virtual cost increment, and the Laplace matrix is updated , and then the virtual cost increment of the power generation unit is continuously updated based on the virtual cost increment of the neighbor power generation unit until the range of the updated virtual cost increment of each power generation unit is less than the threshold in the dynamic convergence threshold set.

[0136] In some embodiments, the dynamic convergence threshold is calculated as follows:

[0137]

[0138] wherein, is the dynamic convergence threshold, is the initial dynamic convergence threshold, is an adjustment coefficient for controlling the influence of power change on the threshold; is the number of power generation units at time step actual output power of the power generation unit; for the power generation unit at the time step actual output power of the power generation unit.

[0139] In some embodiments, by designing the dynamic convergence threshold value to be set based on the amount of power change, the convergence threshold value is relaxed when the fluctuation is large, and tightened after stabilization, for example, the fluctuation caused by the weather on the photovoltaic power generation unit can be addressed, greatly reducing the false positives and false negatives caused by the mismatch between the convergence threshold value and the scene, and improving the safety performance of the station power supply.

[0140] S8, distributing the actual output power of the power generation unit based on the actual output power of the power generation unit after convergence;

[0141] In some embodiments, after determining that the convergence state is in convergence, the supply and demand balance after correction can be used to distribute the actual output power of the power generation unit to the corresponding power generation unit, so that the power generation unit supplies power according to the distributed actual output power, reduces the power generation cost, and ensures high-quality and high-reliability power supply for the station, so that the station can operate safely and reliably.

[0142] The second aspect of the application provides a safe power supply system of a green station integrated with light and storage, which is used to execute the safe power supply method of the green station integrated with light and storage. The system comprises:

[0143] A power generation unit group is used to supply power to the station.

[0144] A construction module is used to construct a power generation cost model of the power generation unit.

[0145] A determination module is used to determine an initial virtual cost increment.

[0146] An update module is used to update the virtual cost increment of the power generation unit.

[0147] A calculation module is used to calculate the actual output power of the power generation unit after updating.

[0148] A detection module is used to check the supply and demand state of the power supply unit group and the power demand of the station.

[0149] A judgment module is used to determine the convergence state.

[0150] A distribution module is used to distribute the actual output power of the power generation unit.

[0151] The third aspect of the application provides a computer readable storage medium, which stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes the safe power supply method of the green station integrated with light and storage.

[0152] 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.

[0153] 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.

[0154] 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; Allocating actual output power of the power generation unit based on the actual output power of the power generation unit after convergence; The convergence state is used to describe the extent to which the initial virtual cost increments of each power generation unit are pushed to the same level by interacting with each other; 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.

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.

Images