Photovoltaic grid-connected power generation simulation system

By simulating and adjusting the prediction curve for the photovoltaic grid-connected power generation, the problem of the selection of node positions in the photovoltaic grid-connected power generation affects the power supply stability, achieving more efficient power supply stability and regional power supply stability.

CN119109026BActive Publication Date: 2025-04-29SKILL TRAINING CENT OF STATE GRID JIANGSU ELECTRIC POWER CO LTD
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Patent Information

Application Number
CN202411204092.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-08-30
Publication Date
2025-04-29
Estimated Expiration
2044-08-30

AI Technical Summary

Technical Problem

When photovoltaic power generation is connected to the grid, selecting the appropriate access node location has an important impact on power supply stability, but the prior art is difficult to effectively predict and adjust the node location to avoid regional power supply instability.

Method used

By simulated photovoltaic grid-connected power generation, the matching of the photovoltaic power generation prediction curve and load distribution curve at the node location is predicted, and the prediction curve is divided into predicted adjustment sections and predicted non-adjustment sections, and the output curve is adjusted by matching sources (including storage power station power supply and stable input source) to improve the consistency with the load distribution curve.

Benefits of technology

Predictive adjustments to photovoltaic grid-connected power generation have been achieved, the power supply stability of grid-connected nodes has been improved, and regional power supply instability has been avoided.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to a photovoltaic grid-connected power generation simulation method and a simulation system, the method comprising determining a photovoltaic power generation prediction curve and a load distribution curve corresponding to an access node position; matching the photovoltaic power generation prediction curve and the load distribution curve, and dividing the photovoltaic power generation prediction curve into a prediction adjustment segment and a prediction non-adjustment segment according to the matching result; calculating a matching curve of the prediction adjustment segment; assigning a matching source to the matching curve, the matching source comprising a storage power station power supply and a stable input source; calculating the difference between the prediction adjustment segment and the actual adjustment segment; obtaining an output curve of the node position and calculating the degree of fit between the output curve of the node position and the load distribution curve of the node position. The photovoltaic grid-connected power generation simulation method and simulation system disclosed in the present invention simulate the use of the node position to participate in the grid connection by combining the photovoltaic grid-connected power generation prediction with the node position load, and then adjusting the grid connection or the node position according to the simulation result.
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Description

Technical Field

[0001] The present invention relates to the field of intelligent power grid technology, and in particular to a photovoltaic grid-connected power generation simulation method and a simulation system. Background Art

[0002] Photovoltaic power generation is a way to supplement the power grid. Distributed photovoltaic power stations can achieve independent operation off the grid in a small range, but they do not have economies of scale. Centralized large-scale photovoltaic power stations are lacking in power supply stability. Current research directions include low voltage ride-through technology and inverter cluster unified control technology. Of course, there is also a way to use energy storage power stations for dynamic scheduling, but due to actual factors such as cost and scale, energy storage power stations are currently mostly used as supplements and small-scale scheduling.

[0003] For photovoltaic power generation grid connection, the selection of grid connection location is also an important influencing factor, because the power load and dispatching capacity of each grid connection node location are different. If a node location is directly selected for grid connection, it may cause regional power supply instability.

[0004] The virtual power plant is a bridge between the power supply end and the demand end. With the help of the virtual power plant, the management and scheduling of electric energy can be realized. With the support of the virtual power plant, simulation tests on the grid connection of photovoltaic power generation can be considered to find a suitable access location and test the impact of the grid connection. Summary of the invention

[0005] The present invention provides a photovoltaic grid-connected power generation simulation method and simulation system, which simulates the use of the node position to participate in the grid connection by predicting photovoltaic grid-connected power generation and combining it with the node position load, and then adjusts the grid connection or node position according to the simulation result.

[0006] The above object of the present invention is achieved through the following technical solutions:

[0007] In a first aspect, the present invention provides a photovoltaic grid-connected power generation simulation method, comprising:

[0008] Determine the photovoltaic power generation prediction curve and load distribution curve corresponding to the access node location;

[0009] Matching the photovoltaic power generation prediction curve and the load distribution curve, and dividing the photovoltaic power generation prediction curve into a prediction adjustment section and a prediction non-adjustment section according to the matching result;

[0010] Calculate the matching curve of the forecast adjustment segment;

[0011] Assigning matching sources to the matching curve, the matching sources including storage power station power sources and stable input sources;

[0012] Calculate the difference between the forecast adjustment segment and the actual adjustment segment;

[0013] Get the output curve of the node position;

[0014] Calculate the degree of fit between the output curve at the node location and the load distribution curve at the node location.

[0015] In a possible implementation of the first aspect, matching the photovoltaic power generation prediction curve and the load distribution curve, and dividing the photovoltaic power generation prediction curve into a prediction adjustment segment and a prediction non-adjustment segment according to a matching result includes:

[0016] Put the voltaic power generation prediction curve and the load distribution curve into the same coordinate system, where the horizontal axis is time and the vertical axis is power;

[0017] Move the power generation prediction curve and the load distribution curve in the longitudinal direction so that the power generation prediction curve is always located below the load distribution curve and the power generation prediction curve is close to the load distribution curve;

[0018] The photovoltaic power generation prediction curve is divided according to the distance between the power generation prediction curve and the load distribution curve, and the photovoltaic power generation prediction curve is divided into a prediction adjustment section and a prediction non-adjustment section;

[0019] Wherein, when the power generation prediction curve is located above or below the load distribution curve, the power generation prediction curve is moved in the longitudinal direction;

[0020] When the power generation prediction curve and the load distribution curve have an intersection or have an intersection after moving in the longitudinal direction, the load distribution curve located below the power generation prediction curve at the intersection is used instead of the power generation prediction curve located above the load distribution curve.

[0021] In a possible implementation manner of the first aspect, segmenting the photovoltaic power generation prediction curve according to the distance between the power generation prediction curve and the load distribution curve includes:

[0022] When the power generation prediction curve and the load distribution curve are moved in the longitudinal direction and overlapped points appear, when there are multiple overlapped points, the power generation prediction curve is segmented to obtain power generation prediction curve segments, and there is only one overlapped point between the power generation prediction curve segment and the load distribution curve;

[0023] Calculate the power supplement and power transfer for each section of the power generation forecast curve;

[0024] The overlapping position of the power generation prediction curve segment and the load distribution curve is adjusted according to the power supplement amount and the power transfer amount so that the power supplement amount is equal to the power transfer amount.

[0025] In a possible implementation manner of the first aspect, when the power supplement amount cannot be equal to the power transfer amount, the method further includes:

[0026] Calculate the drop between adjacent power generation prediction curve segments;

[0027] Draw a drop curve according to the assigned drop and adjust the drop curve so that the drop curve tends to a horizontal line.

[0028] In a possible implementation manner of the first aspect, when calculating the matching curve of the predicted adjustment segment, the method further includes:

[0029] Classifying the forecast adjustment segments, including forecast adjustment segments without intersection points and forecast adjustment segments with intersection points;

[0030] A first matching curve without an intersection prediction adjustment segment and a second matching curve with an intersection prediction adjustment segment are generated respectively.

[0031] In a possible implementation manner of the first aspect, generating a first matching curve of the intersection-free prediction adjustment segment includes:

[0032] Move the non-intersection prediction adjustment section in the longitudinal direction so that any end of the non-intersection prediction adjustment section coincides with the load distribution curve;

[0033] Generate a first matching curve according to the area shape between the moved non-intersection prediction adjustment section and the load distribution curve;

[0034] Use a stable input source to check the movement of the non-intersection prediction adjustment section in the longitudinal direction and use the storage power station power supply to check the first matching curve. When the storage power station power supply fails to check the first matching curve, make the middle part of the non-intersection prediction adjustment section coincide with the load distribution curve and use the storage power station power supply to check the first matching curve again;

[0035] When the middle part of the non-intersection prediction adjustment section is made to coincide with the load distribution curve, the excess electric energy is input into the storage power station power supply.

[0036] In a possible implementation manner of the first aspect, generating the second matching curve having the intersection prediction adjustment segment includes:

[0037] Adjust the intersection of the predicted adjustment section with the intersection point and the load distribution curve so that the area corresponding to the portion of the predicted adjustment section with the intersection point located above the load distribution curve is equal to the area corresponding to the portion of the predicted adjustment section with the intersection point located below the load distribution curve;

[0038] The portion where the intersection prediction adjustment section is located above the load distribution curve is replaced with the corresponding load distribution curve to obtain a second matching curve, and the power corresponding to the portion where the intersection prediction adjustment section is located above the load distribution curve is input into the power supply of the storage power station.

[0039] In a second aspect, the present invention provides a photovoltaic grid-connected power generation simulation device, comprising:

[0040] A first processing unit, used to determine a photovoltaic power generation prediction curve and a load distribution curve corresponding to the access node location;

[0041] The second processing unit is used to match the photovoltaic power generation prediction curve with the load distribution curve, and divide the photovoltaic power generation prediction curve into a prediction adjustment section and a prediction non-adjustment section according to the matching result;

[0042] A third processing unit, used for calculating a matching curve of the prediction adjustment segment;

[0043] an allocating unit, for allocating matching sources to the matching curve, the matching sources including storage power station power sources and stable input sources;

[0044] A first calculation unit, used for calculating the difference between the predicted adjustment segment and the actual adjustment segment;

[0045] Result unit, used to obtain the output curve of the node position;

[0046] The second calculation unit is used to calculate the degree of agreement between the output curve of the node position and the load distribution curve of the node position.

[0047] In a third aspect, the present invention provides a photovoltaic grid-connected power generation simulation system, the system comprising:

[0048] one or more memories for storing instructions; and

[0049] One or more processors, used to call and run the instructions from the memory to execute the method as described in the first aspect and any possible implementation of the first aspect.

[0050] In a fourth aspect, the present invention provides a computer-readable storage medium, the computer-readable storage medium comprising:

[0051] Program, when the program is executed by a processor, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0052] In a fifth aspect, the present invention provides a computer program product, comprising program instructions, and when the program instructions are executed by a computing device, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0053] In a sixth aspect, the present invention provides a chip system comprising a processor for implementing the functions involved in the above aspects, for example, generating, receiving, sending, or processing the data and / or information involved in the above methods.

[0054] The chip system may be composed of chips, or may include chips and other discrete devices.

[0055] In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wired or wireless means, or the processor and the memory can also be coupled on the same device. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a schematic block diagram of the steps of a photovoltaic grid-connected power generation simulation method provided by the present invention.

[0057] Figure 2 It is a schematic diagram of a photovoltaic power generation prediction curve and a load distribution curve provided by the present invention.

[0058] Figure 3 It is a schematic diagram of a mobile photovoltaic power generation prediction curve provided by the present invention.

[0059] Figure 4 It is a schematic diagram of segmented processing of a power generation prediction curve provided by the present invention.

[0060] Figure 5 It is a schematic diagram of a drop curve provided by the present invention.

[0061] Figure 6 It is a schematic diagram of a moving non-intersection prediction adjustment segment provided by the present invention.

[0062] Figure 7 It is a schematic diagram of adjusting the intersection point of an intersection prediction adjustment section and a load distribution curve provided by the present invention.

[0063] Figure 8 is based on Figure 7 A schematic diagram of the obtained second matching curve. DETAILED DESCRIPTION

[0064] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings.

[0065] The present invention discloses a photovoltaic grid-connected power generation simulation method, please refer to Figure 1 In some examples, the photovoltaic grid-connected power generation simulation method disclosed in the present invention includes the following steps:

[0066] S101, determining a photovoltaic power generation prediction curve and a load distribution curve corresponding to the access node location;

[0067] S102, matching the photovoltaic power generation prediction curve with the load distribution curve, and dividing the photovoltaic power generation prediction curve into a prediction adjustment section and a prediction non-adjustment section according to the matching result;

[0068] S103, calculating a matching curve of the prediction adjustment segment;

[0069] S104, assigning matching sources to the matching curve, where the matching sources include storage power station power sources and stable input sources;

[0070] S105, calculating the difference between the predicted adjustment segment and the actual adjustment segment;

[0071] S106, obtaining an output curve of the node position;

[0072] S107, calculating the degree of agreement between the output curve at the node position and the load distribution curve at the node position.

[0073] In step S101, the photovoltaic power generation prediction curve and load distribution curve corresponding to the access node location are first determined. The photovoltaic power generation prediction curve refers to the power generation prediction curve of the photovoltaic power station participating in the grid connection, and the load distribution curve refers to the change in the time dimension of the electric energy that needs to be output at the access node location.

[0074] The starting time and ending time of the photovoltaic power generation prediction curve and the load distribution curve are the same, generally with a cycle of 2-3 hours.

[0075] Then in step S102, the photovoltaic power generation prediction curve and the load distribution curve are matched. After obtaining the matching result, the photovoltaic power generation prediction curve is divided into a prediction adjustment segment and a prediction non-adjustment segment according to the matching result. The prediction adjustment segment refers to the segment on the photovoltaic power generation prediction curve that requires the assistance of other power sources, and the prediction non-adjustment segment refers to the segment on the photovoltaic power generation prediction curve that does not require the assistance of other power sources.

[0076] The prerequisite here is that the load distribution curve does not change, and then the photovoltaic power generation prediction curve is segmented, and then the matching curve of the prediction adjustment segment is calculated in step S103. The matching curve of the prediction adjustment segment can be superimposed on the prediction adjustment segment so that the prediction adjustment segment can match the corresponding part on the load distribution curve.

[0077] After obtaining the matching curve of the predicted adjustment section, a matching source is assigned to the matching curve in step S104. The matching source includes a storage power station power source and a stable input source. The storage power station power source can be used as an output source or an input source, and the stable input source can only be used as an input source.

[0078] The input source here refers to the need to input electric energy to the access node location determined in step S101, and the output source refers to the need to store part of the electric energy output of the photovoltaic power station.

[0079] In step S105, the difference between the predicted adjustment segment and the actual adjustment segment is calculated. The actual adjustment segment here is generated by calling existing resources. Because the power supply of the power storage station and the stable input source mentioned in the above content may not be coordinated within the current time period, it is necessary to calculate the actual adjustment segment.

[0080] Described from another perspective, the actual adjustment segment is the actual predicted adjustment segment obtained based on the currently schedulable resources.

[0081] In step S106, an output curve of the node position is obtained. The output curve of the node position is the temporal variation of the output power of the node position, and should be consistent with the load distribution curve of the node position mentioned in step S101.

[0082] However, the actual adjustment section mentioned in step S105 may result in that the output curve at the node position and the load distribution curve at the node position cannot be completely consistent.

[0083] Finally, in step S107, the degree of fit between the output curve of the node position and the load distribution curve of the node position is calculated. There are two calculation methods here: difference calculation and area calculation:

[0084] Difference calculation refers to calculating the difference between the output curve of the node location and the load distribution curve of the node location at the same time point. The difference corresponds to power, and a range is generally set. For example, it can be within 3% of the current power, and exceeding 3% is considered unacceptable.

[0085] Area calculation refers to the area of ​​the closed area enclosed by the output curve of the node position and the load distribution curve of the node position within the required time length area. The area represents the accumulated power difference over a period of time. Generally, a value is set in kW·h.

[0086] The above two calculation methods can be described from another perspective. It can be stated that there is a certain amount of fluctuation in the power output provided at the node location. If the downstream allows the fluctuation, then it can be directly connected to the grid. If the downstream does not allow the fluctuation, it is necessary to arrange the corresponding solution in advance.

[0087] Solutions include increasing or decreasing the input of stable power sources (thermal power, nuclear power, energy storage power stations), increasing or decreasing the participation of energy storage power stations, modifying the load distribution curve, and temporarily abandoning the output of photovoltaic power stations.

[0088] In general, the above simulation method can be used to predict possible problems in grid connection, which can guide when and what measures to take for active adjustments, and can achieve advance prediction of problems and prepare corresponding treatment plans.

[0089] In some examples, the specific method of matching the photovoltaic power generation prediction curve and the load distribution curve, and dividing the photovoltaic power generation prediction curve into a prediction adjustment section and a prediction non-adjustment section according to the matching result is:

[0090] S201, putting the voltaic power generation prediction curve and the load distribution curve into the same coordinate system, where the horizontal axis of the coordinate system is time and the vertical axis is power;

[0091] S202, moving the power generation prediction curve and the load distribution curve in the longitudinal direction so that the power generation prediction curve is always located below the load distribution curve and the power generation prediction curve is close to the load distribution curve;

[0092] S203, segmenting the photovoltaic power generation prediction curve according to the distance between the power generation prediction curve and the load distribution curve, and dividing the photovoltaic power generation prediction curve into a prediction adjustment segment and a prediction non-adjustment segment;

[0093] Wherein, when the power generation prediction curve is located above or below the load distribution curve, the power generation prediction curve is moved in the longitudinal direction;

[0094] When the power generation prediction curve and the load distribution curve have an intersection or have an intersection after moving in the longitudinal direction, the load distribution curve located below the power generation prediction curve at the intersection is used instead of the power generation prediction curve located above the load distribution curve.

[0095] See also Figure 2 and Figure 3 In step S201 to step S203, when the power generation prediction curve is above or below the load distribution curve, the power generation prediction curve is moved in the longitudinal direction. First, the voltaic power generation prediction curve and the load distribution curve are placed in the same coordinate system, and then the power generation prediction curve and the load distribution curve are moved in the longitudinal direction. The requirements for the movement are: the power generation prediction curve is always below the load distribution curve and the power generation prediction curve is close to the load distribution curve.

[0096] The purpose of moving the power generation prediction curve below the load distribution curve is to make full use of the power generated by the photovoltaic power station as much as possible and avoid the situation of abandoning photovoltaic power. As for the photovoltaic power corresponding to the downward movement of the power generation prediction curve, it can be transferred to the energy storage power station for storage, or coordinated for use elsewhere, such as mentioned in step S104, which can be used as a stable input source for other node locations.

[0097] If the load sharing curve needs to be moved upward, it is necessary to coordinate and stabilize the input source in advance.

[0098] In step S203, the photovoltaic power generation prediction curve is segmented according to the distance between the power generation prediction curve and the load distribution curve, and the photovoltaic power generation prediction curve is divided into a prediction adjustment segment and a prediction non-adjustment segment. The specific segmentation method is based on the coincidence point of the power generation prediction curve and the load distribution curve, or the distance between the two points (with the same time coordinates) is less than or equal to the set value.

[0099] In addition, when the power generation prediction curve and the load distribution curve have an intersection or have an intersection after moving in the longitudinal direction, the load distribution curve located below the power generation prediction curve at the intersection is used instead of the power generation prediction curve located above the load distribution curve.

[0100] This paragraph means that when the power generation forecast curve (partially) is located above the load distribution curve, the load distribution curve below the power generation forecast curve is used instead of the power generation forecast curve above the load distribution curve.

[0101] This replacement method can directly make the power generation forecast curve of this part match the load distribution curve at the corresponding position.

[0102] In some examples, the specific method of segmenting the photovoltaic power generation forecast curve according to the distance between the power generation forecast curve and the load distribution curve is:

[0103] S301, moving the power generation prediction curve and the load distribution curve in the longitudinal direction until an overlap point appears. When there are multiple overlap points, segment the power generation prediction curve to obtain power generation prediction curve segments. There is only one overlap point between the power generation prediction curve segment and the load distribution curve.

[0104] S302, calculating the power supplement amount and power transfer amount of each power generation prediction curve;

[0105] S303, adjusting the overlapping position of the power generation prediction curve segment and the load distribution curve according to the power supplement amount and the power transfer amount, so that the power supplement amount is equal to the power transfer amount.

[0106] See also Figure 4 In step S301 to step S303, another method of processing the power generation prediction curve in sections is provided, because it is impossible to ensure that the power generation prediction curve is always placed below the load distribution curve.

[0107] For example, when the storage capacity of an energy storage power station is limited, it is necessary to control the movement of the power generation forecast curve.

[0108] When there are multiple overlapping points, the power generation prediction curve is segmented to obtain power generation prediction curve segments. At this time, the power generation prediction curve segment has only one overlapping point with the load distribution curve. At this time, part of the power generation prediction curve segment is located above the load distribution curve, and the other part is located below the load distribution curve.

[0109] Then the power supplement amount and power transfer amount of each power generation prediction curve are calculated and the overlapping position of the power generation prediction curve segment and the load distribution curve is adjusted according to the power supplement amount and the power transfer amount so that the power supplement amount is equal to the power transfer amount.

[0110] This method can achieve local self-balancing of the power generation forecast curve. Because in the process of external coordination, actual influencing factors such as distance and coordination difficulty need to be considered, the use of local self-balancing of the power generation forecast curve can effectively control the amount of external coordination.

[0111] The above two methods can be used in combination, such as Figure 4 shown.

[0112] When the power supplement amount cannot be equal to the power transfer amount, the following steps are added:

[0113] S401, calculating the drop between adjacent power generation prediction curve segments;

[0114] S402, drawing a drop curve according to the assigned drop, and adjusting the drop curve so that the drop curve tends to be a horizontal line.

[0115] In step S401 and step S402, the drop between adjacent power generation prediction curve segments is first calculated. The drop refers to the difference between the power supplement amount and the power transfer amount. Then, the drop curve is drawn and adjusted according to the assigned drop. Figure 5 As shown, the adjustment method is to make the drop curve tend to be horizontal.

[0116] The drop degree has positive and negative values. A positive value indicates that additional power supplement is needed, and a negative value indicates that power transfer is needed. The purpose of making the drop degree curve tend to a horizontal line is to only perform power supplement or power transfer within a period of time to avoid frequent adjustments. This is because frequent mobilization of electric energy in a short period of time will lead to instability, and scheduling also involves issues such as response time, coordination with other areas and losses.

[0117] In some examples, the following steps are added when calculating the matching curve of the forecast adjustment segment:

[0118] S501, classifying the predicted adjustment segments into the predicted adjustment segments without intersection points and the predicted adjustment segments with intersection points;

[0119] S502 : Generate a first matching curve without an intersection prediction adjustment segment and a second matching curve with an intersection prediction adjustment segment.

[0120] The content in step S501 and step S502 is to divide the prediction adjustment segment into two categories, namely, prediction adjustment segment without intersection point and prediction adjustment segment with intersection point. The intersection point refers to whether there is an intersection point between the prediction adjustment segment and the load distribution curve.

[0121] Then, a first matching curve without the intersection prediction adjustment segment and a second matching curve with the intersection prediction adjustment segment are generated respectively.

[0122] In some examples, a specific method of generating a first matching curve without an intersection prediction adjustment segment is:

[0123] S601, moving the non-intersection prediction adjustment segment in the longitudinal direction so that any end of the non-intersection prediction adjustment segment coincides with the load distribution curve;

[0124] S602, generating a first matching curve according to the area shape between the moved non-intersection prediction adjustment segment and the load distribution curve;

[0125] S603, using a stable input source to check the movement of the non-intersection prediction adjustment section in the longitudinal direction and using the storage power station power supply to check the first matching curve, when the storage power station power supply is used to check the first matching curve and fails, making the middle part of the non-intersection prediction adjustment section coincide with the load distribution curve and re-using the storage power station power supply to check the first matching curve;

[0126] When the middle part of the non-intersection prediction adjustment section is made to coincide with the load distribution curve, the excess electric energy is input into the storage power station power supply.

[0127] In step S601 to step S603, the non-intersection prediction adjustment segment is first moved in the longitudinal direction so that any end of the non-intersection prediction adjustment segment coincides with the load distribution curve, and then a first matching curve is generated according to the area shape between the moved non-intersection prediction adjustment segment and the load distribution curve.

[0128] Then use a stable input source to calibrate the movement of the non-intersection prediction adjustment segment in the longitudinal direction and use the storage power station power supply to calibrate the first matching curve. The first matching curve means that the storage power station power supply needs to be output, and the verification is to determine whether the output of the storage power station power supply can match the first matching curve.

[0129] See also Figure 6 When the first matching curve is not passed when the power supply of the storage power station is used to check the first matching curve, the middle part of the non-intersection prediction adjustment section is made to coincide with the load distribution curve and the power supply of the storage power station is used again to check the first matching curve.

[0130] The specific process of the above method is to first create a first matching curve, and then determine whether the first matching curve can be used. If it cannot be used, the first matching curve is adjusted in a way that the middle part of the non-intersection prediction adjustment section coincides with the load distribution curve. The first matching curve obtained at this time has a lower dependence on the power supply of the storage power station.

[0131] After the new first matching curve is obtained, the first matching curve needs to be re-calibrated using the power supply of the storage power station so that the power supply of the storage power station can meet the first matching curve.

[0132] In some examples, a specific method of generating the second matching curve with the intersection prediction adjustment segment is:

[0133] S701, adjusting the intersection of the predicted adjustment section with the intersection point and the load distribution curve so that the area corresponding to the portion of the predicted adjustment section with the intersection point located above the load distribution curve is equal to the area corresponding to the portion of the predicted adjustment section with the intersection point located below the load distribution curve;

[0134] S702, replacing the portion of the load distribution curve where the predicted intersection adjustment section is located above the load distribution curve with the corresponding load distribution curve to obtain a second matching curve, and inputting the power corresponding to the portion of the load distribution curve where the predicted intersection adjustment section is located above the load distribution curve into the power supply of the storage power station.

[0135] The contents of step S701 and step S702 need to first adjust the intersection point of the intersection prediction adjustment section and the load distribution curve, such as Figure 7 As shown, the area corresponding to the part of the predicted adjustment section with the intersection point located above the load distribution curve is equal to the area corresponding to the part of the predicted adjustment section with the intersection point located below the load distribution curve. Figure 7 In it, S1=S2.

[0136] In this way, the excess electric energy (where the intersection prediction adjustment section is located above the load distribution curve) can be transferred to the portion where the intersection prediction adjustment section is located below the load distribution curve.

[0137] Then, the portion of the predicted adjustment section with the intersection point located above the load distribution curve is replaced with the corresponding load distribution curve to obtain the second matching curve. Figure 8 As shown, the power corresponding to the portion of the predicted adjustment section with the intersection point located above the load distribution curve will be input into the storage power station power supply.

[0138] The present invention also provides a photovoltaic grid-connected power generation simulation device, comprising:

[0139] A first processing unit, used to determine a photovoltaic power generation prediction curve and a load distribution curve corresponding to the access node location;

[0140] The second processing unit is used to match the photovoltaic power generation prediction curve with the load distribution curve, and divide the photovoltaic power generation prediction curve into a prediction adjustment section and a prediction non-adjustment section according to the matching result;

[0141] A third processing unit, used for calculating a matching curve of the prediction adjustment segment;

[0142] an allocating unit, for allocating matching sources to the matching curve, the matching sources including storage power station power sources and stable input sources;

[0143] A first calculation unit, used for calculating the difference between the predicted adjustment segment and the actual adjustment segment;

[0144] Result unit, used to obtain the output curve of the node position;

[0145] The second calculation unit is used to calculate the degree of agreement between the output curve of the node position and the load distribution curve of the node position.

[0146] Furthermore, it also includes:

[0147] The fourth processing unit is used to put the voltaic power generation prediction curve and the load distribution curve into the same coordinate system, where the horizontal axis coordinate of the coordinate system is time and the vertical axis coordinate is power;

[0148] A first moving unit is used to move the power generation prediction curve and the load distribution curve in the longitudinal direction so that the power generation prediction curve is always located below the load distribution curve and the power generation prediction curve is close to the load distribution curve;

[0149] A first segmentation processing unit is used to segment the photovoltaic power generation prediction curve according to the distance between the power generation prediction curve and the load distribution curve, and divide the photovoltaic power generation prediction curve into a prediction adjustment segment and a prediction non-adjustment segment;

[0150] Wherein, when the power generation prediction curve is located above or below the load distribution curve, the power generation prediction curve is moved in the longitudinal direction;

[0151] When the power generation prediction curve and the load distribution curve have an intersection or have an intersection after moving in the longitudinal direction, the load distribution curve located below the power generation prediction curve at the intersection is used instead of the power generation prediction curve located above the load distribution curve.

[0152] Furthermore, it also includes:

[0153] A second segmentation processing unit is used to move the power generation prediction curve and the load distribution curve in the longitudinal direction to find the overlapped point. When there are multiple overlapped points, the power generation prediction curve is segmented to obtain power generation prediction curve segments. There is only one overlapped point between the power generation prediction curve segment and the load distribution curve.

[0154] A third calculation unit is used to calculate the power supplement amount and the power transfer amount of each power generation prediction curve;

[0155] The position adjustment unit is used to adjust the overlapping position of the power generation prediction curve segment and the load distribution curve according to the power supplement amount and the power transfer amount, so that the power supplement amount is equal to the power transfer amount.

[0156] Furthermore, it also includes:

[0157] A fourth calculation unit, used for calculating the drop between adjacent power generation prediction curve segments;

[0158] The fifth processing unit is used to draw a drop curve according to the assigned drop and adjust the drop curve so that the drop curve tends to a horizontal line.

[0159] Furthermore, it also includes:

[0160] A classification unit, used to classify the prediction adjustment segments, the classification includes prediction adjustment segments without intersection points and prediction adjustment segments with intersection points;

[0161] The first curve generating unit is used to respectively generate a first matching curve without an intersection prediction adjustment segment and a second matching curve with an intersection prediction adjustment segment.

[0162] Furthermore, it also includes:

[0163] A second moving unit is used to move the non-intersection prediction adjustment section in the longitudinal direction so that any end of the non-intersection prediction adjustment section coincides with the load distribution curve;

[0164] A second curve generating unit, used for generating a first matching curve according to the area shape between the moved non-intersection prediction adjustment section and the load distribution curve;

[0165] A third curve generating unit is used to check the movement amount of the non-intersection prediction adjustment section in the longitudinal direction by using a stable input source and to check the first matching curve by using a storage power station power supply, and when the first matching curve is not checked by using the storage power station power supply, the middle part of the non-intersection prediction adjustment section is made to overlap with the load distribution curve and the first matching curve is checked again by using the storage power station power supply;

[0166] When the middle part of the non-intersection prediction adjustment section is made to coincide with the load distribution curve, the excess electric energy is input into the storage power station power supply.

[0167] Furthermore, it also includes:

[0168] An adjustment processing unit, used for adjusting the intersection of the predicted adjustment section with an intersection point and the load distribution curve, so that the area corresponding to the portion of the predicted adjustment section with an intersection point located above the load distribution curve is equal to the area corresponding to the portion of the predicted adjustment section with an intersection point located below the load distribution curve;

[0169] The fourth curve generating unit is used to replace the portion of the load distribution curve where the intersection prediction adjustment section is located above the load distribution curve with the corresponding load distribution curve to obtain a second matching curve, and the power input corresponding to the portion of the load distribution curve where the intersection prediction adjustment section is located above the load distribution curve is stored in the power supply of the power station.

[0170] In one example, the unit in any of the above devices can be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0171] For another example, when the units in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these units can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0172] Various objects such as various messages / information / equipment / network elements / systems / devices / actions / operations / processes / concepts that may appear in the present invention are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The names assigned may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in the present invention should be mainly determined from the functions and technical effects embodied / executed in the technical scheme.

[0173] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0174] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0175] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0176] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0177] It should also be understood that in various embodiments of the present invention, the first, second, etc. are only used to indicate that multiple objects are different. For example, the first time window and the second time window are only used to indicate different time windows. They should not have any impact on the time window itself, and the first, second, etc. mentioned above should not impose any limitations on the embodiments of the present invention.

[0178] It should also be understood that in the various embodiments of the present invention, unless otherwise specified or there is any logical conflict, the terms and / or descriptions between the different embodiments are consistent and can be referenced to each other, and the technical features in the different embodiments can be combined to form new embodiments according to their internal logical relationships.

[0179] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a computer-readable storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned computer-readable storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0180] The present invention also provides a photovoltaic grid-connected power generation simulation system, the system comprising:

[0181] one or more memories for storing instructions; and

[0182] One or more processors are used to call and run the instructions from the memory to execute the method as described above.

[0183] The present invention also provides a computer program product, which includes instructions. When the instructions are executed, the terminal device and the network device perform operations of the terminal device and the network device corresponding to the above method.

[0184] The present invention also provides a chip system, which includes a processor for implementing the functions involved in the above content, such as generating, receiving, sending, or processing the data and / or information involved in the above method.

[0185] The chip system may be composed of chips, or may include chips and other discrete devices.

[0186] The processor mentioned in any of the above places can be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for executing programs for controlling the above-mentioned feedback information transmission method.

[0187] In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wire or wireless means to support the chip system to implement various functions in the above embodiments. Alternatively, the processor and the memory can also be coupled on the same device.

[0188] Optionally, the computer instructions are stored in a memory.

[0189] Optionally, the memory is a storage unit within the chip, such as a register, a cache, etc. The memory can also be a storage unit within the terminal located outside the chip, such as a ROM or other types of static storage devices that can store static information and instructions, RAM, etc.

[0190] It can be understood that the memory in the present invention can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

[0191] The nonvolatile memory may be a ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), or a flash memory.

[0192] The volatile memory may be a RAM, which is used as an external cache. There are many different types of RAM, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct memory bus RAM.

[0193] The embodiments of this specific implementation method are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A photovoltaic grid-connected power generation simulation method, characterized in that: include: Determine the photovoltaic power generation prediction curve and load distribution curve corresponding to the access node location; Matching the photovoltaic power generation prediction curve and the load distribution curve, and dividing the photovoltaic power generation prediction curve into a prediction adjustment segment and a prediction non-adjustment segment according to the matching result. The prediction adjustment segment refers to the segment on the photovoltaic power generation prediction curve that requires the assistance of other power sources, and the prediction non-adjustment segment refers to the segment on the photovoltaic power generation prediction curve that does not require the assistance of other power sources; Calculate the matching curve of the forecast adjustment segment; Assigning matching sources to the matching curve, the matching sources including storage power station power sources and stable input sources; Calculate the difference between the predicted adjustment segment and the actual adjustment segment, where the actual adjustment segment is the actual predicted adjustment segment obtained based on the currently schedulable resources; Get the output curve of the node position; Calculate the degree of agreement between the output curve at the node location and the load distribution curve at the node location; Match the photovoltaic power generation prediction curve and the load distribution curve, and divide the photovoltaic power generation prediction curve into a prediction adjustment section and a prediction non-adjustment section according to the matching result, including: Put the photovoltaic power generation prediction curve and the load distribution curve into the same coordinate system, where the horizontal axis is time and the vertical axis is power; Move the photovoltaic power generation prediction curve and the load distribution curve in the longitudinal direction so that the photovoltaic power generation prediction curve is always located below the load distribution curve and the photovoltaic power generation prediction curve is close to the load distribution curve; The photovoltaic power generation prediction curve is divided according to the distance between the photovoltaic power generation prediction curve and the load distribution curve, and the photovoltaic power generation prediction curve is divided into a prediction adjustment section and a prediction non-adjustment section; Wherein, when the photovoltaic power generation prediction curve is located above or below the load distribution curve, the photovoltaic power generation prediction curve is moved in the longitudinal direction; When the photovoltaic power generation prediction curve and the load distribution curve have an intersection or an intersection after moving in the longitudinal direction, the load distribution curve located below the photovoltaic power generation prediction curve at the intersection is used to replace the photovoltaic power generation prediction curve located above the load distribution curve.

2. The photovoltaic grid-connected power generation simulation method according to claim 1, characterized in that: The photovoltaic power generation prediction curve is segmented according to the distance between the photovoltaic power generation prediction curve and the load distribution curve, including: When the photovoltaic power generation prediction curve and the load distribution curve are moved in the longitudinal direction and overlapped points appear, when there are multiple overlapped points, the photovoltaic power generation prediction curve is segmented to obtain photovoltaic power generation prediction curve segments, and there is only one overlapped point between the photovoltaic power generation prediction curve segment and the load distribution curve; Calculate the power supplement and power transfer amount for each section of the photovoltaic power generation prediction curve; The overlapping position of the photovoltaic power generation prediction curve segment and the load distribution curve is adjusted according to the power supplement amount and the power transfer amount so that the power supplement amount is equal to the power transfer amount.

3. The photovoltaic grid-connected power generation simulation method according to claim 2, characterized in that: When the power supplement amount cannot be equal to the power transfer amount, it also includes: Calculate the drop between adjacent photovoltaic power generation prediction curve segments, where the drop refers to the difference between the power supplement amount and the power transfer amount; Draw a drop curve according to the assigned drop and adjust the drop curve so that the drop curve tends to a horizontal line.

4. The photovoltaic grid-connected power generation simulation method according to claim 1, characterized in that: When calculating the matching curve for the forecast adjustment segment, it also includes: The prediction adjustment section is classified into the following categories: the prediction adjustment section without intersection and the prediction adjustment section with intersection. The prediction adjustment section without intersection and the load distribution curve without intersection are the prediction adjustment section without intersection, and the prediction adjustment section with intersection and the load distribution curve with intersection are the prediction adjustment section with intersection. A first matching curve without an intersection prediction adjustment segment and a second matching curve with an intersection prediction adjustment segment are generated respectively.

5. The photovoltaic grid-connected power generation simulation method according to claim 4, characterized in that: Generating a first matching curve of the non-intersection prediction adjustment segment includes: Move the non-intersection prediction adjustment section in the longitudinal direction so that any end of the non-intersection prediction adjustment section coincides with the load distribution curve; Generate a first matching curve according to the area shape between the moved non-intersection prediction adjustment section and the load distribution curve; Use a stable input source to check the movement of the non-intersection prediction adjustment section in the longitudinal direction and use the storage power station power supply to check the first matching curve. When the storage power station power supply fails to check the first matching curve, make the middle part of the non-intersection prediction adjustment section coincide with the load distribution curve and use the storage power station power supply to check the first matching curve again; When the middle part of the non-intersection prediction adjustment section is made to coincide with the load distribution curve, the excess electric energy is input into the storage power station power supply.

6. The photovoltaic grid-connected power generation simulation method according to claim 4, characterized in that: Generating a second matching curve with an intersection prediction adjustment segment includes: Adjust the intersection of the predicted adjustment section with the intersection point and the load distribution curve so that the area corresponding to the portion of the predicted adjustment section with the intersection point located above the load distribution curve is equal to the area corresponding to the portion of the predicted adjustment section with the intersection point located below the load distribution curve; The portion where the intersection prediction adjustment section is located above the load distribution curve is replaced with the corresponding load distribution curve to obtain a second matching curve, and the power corresponding to the portion where the intersection prediction adjustment section is located above the load distribution curve is input into the power supply of the storage power station.

7. A photovoltaic grid-connected power generation simulation device, characterized in that: include: A first processing unit, used to determine a photovoltaic power generation prediction curve and a load distribution curve corresponding to the access node location; The second processing unit is used to match the photovoltaic power generation prediction curve and the load distribution curve, and divide the photovoltaic power generation prediction curve into a prediction adjustment segment and a prediction non-adjustment segment according to the matching result. The prediction adjustment segment refers to a segment on the photovoltaic power generation prediction curve that requires the assistance of other power sources, and the prediction non-adjustment segment refers to a segment on the photovoltaic power generation prediction curve that does not require the assistance of other power sources. A third processing unit, used for calculating a matching curve of the prediction adjustment segment; an allocating unit, for allocating matching sources to the matching curve, the matching sources including storage power station power sources and stable input sources; A first calculation unit is used to calculate the difference between the predicted adjustment segment and the actual adjustment segment, where the actual adjustment segment is the actual predicted adjustment segment obtained based on the current schedulable resources; Result unit, used to obtain the output curve of the node position; A second calculation unit is used to calculate the degree of agreement between the output curve of the node position and the load distribution curve of the node position; Match the photovoltaic power generation prediction curve and the load distribution curve, and divide the photovoltaic power generation prediction curve into a prediction adjustment section and a prediction non-adjustment section according to the matching result, including: Put the photovoltaic power generation prediction curve and the load distribution curve into the same coordinate system, where the horizontal axis is time and the vertical axis is power; Move the photovoltaic power generation prediction curve and the load distribution curve in the longitudinal direction so that the photovoltaic power generation prediction curve is always located below the load distribution curve and the photovoltaic power generation prediction curve is close to the load distribution curve; The photovoltaic power generation prediction curve is divided according to the distance between the photovoltaic power generation prediction curve and the load distribution curve, and the photovoltaic power generation prediction curve is divided into a prediction adjustment section and a prediction non-adjustment section; Wherein, when the photovoltaic power generation prediction curve is located above or below the load distribution curve, the photovoltaic power generation prediction curve is moved in the longitudinal direction; When the photovoltaic power generation prediction curve and the load distribution curve have an intersection or an intersection after moving in the longitudinal direction, the load distribution curve located below the photovoltaic power generation prediction curve at the intersection is used to replace the photovoltaic power generation prediction curve located above the load distribution curve.

8. A photovoltaic grid-connected power generation simulation system, characterized in that: The system comprises: one or more memories for storing instructions; and One or more processors, configured to call and execute the instructions from the memory to perform the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer readable storage medium comprises: The program, when the program is executed by a processor, the method according to any one of claims 1 to 6 is executed.

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