A distributed transaction supervision method and supervision platform based on multi-source data

By adopting different transaction supervision strategies during peak and valley periods, the mismatch problem of power system caused by the volatility of wind power generation and photovoltaic power generation is solved, and the utilization rate of new energy and the stability and economics of the power grid are improved.

CN119722307BActive Publication Date: 2025-08-12NORTH CHINA ELECTRIC POWER UNIV +2
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Patent Information

Application Number
CN202411591727.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-11-08
Publication Date
2025-08-12
Estimated Expiration
2044-11-08

AI Technical Summary

Technical Problem

The volatility of wind power generation and photovoltaic power generation leads to power mismatch problems in the peak and valley power generation periods, affecting the utilization rate of new energy power generation and the stability and economics of the power grid.

Method used

Through a distributed transaction supervision method based on multi-source data, different transaction supervision strategies are adopted in peak power periods and valley power periods, including power balance, charging and discharging control of energy storage devices and frequency adjustment of AGC controllers, to optimize the online transaction of new energy.

Benefits of technology

It improves the utilization rate of new energy, reduces the grid loss of the power system, enhances the stability and economy of the power grid, and realizes the optimized operation of the power grid and new energy system.

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Abstract

The present invention relates to a distributed transaction supervision method and platform based on multi-source data, and belongs to the field of new energy power grid technology. The method comprises the following steps: S1, determining peak power periods and valley power periods; S2, if the power system is in the peak power period, adopting peak power transaction supervision; S3, if the power system is in the valley power period, adopting valley power transaction supervision. The present invention solves the contradiction between power system stability caused by fluctuations in wind and photovoltaic power generation and the benefits of grid-connected transactions of new energy power generation, thereby improving the utilization rate of new energy while enhancing the safety and economy of the power system.
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Description

Technical Field

[0001] The present invention belongs to the technical field of new energy power grids, and in particular relates to a distributed transaction supervision method and supervision platform based on multi-source data. Background Art

[0002] New energy sources such as wind power generation and photovoltaic power generation have become the development direction of today's energy and power sector due to their green and environmentally friendly characteristics. The proportion of distributed new energy power generation connected to the power grid is increasing rapidly.

[0003] However, there are problems with large fluctuations in wind power generation and photovoltaic power generation. During peak power periods, if the power generation of photovoltaic power stations and wind power stations is increased and traded into the grid, the income from new energy power generation and the effective utilization of new energy can be increased; but if the new energy power generation power is traded into the grid in large quantities in a short period of time, exceeding the response time interval of the power system generator, the untimely response of the generator will lead to excess active power, causing the grid frequency to exceed the standard.

[0004] During off-peak hours, when the load on the power system decreases, wind power generation increases, causing instantaneous power imbalance in the power system. The source-load mismatch problem increases the safety and stability of the power system.

[0005] Therefore, wind power generation and photovoltaic power generation need to be coordinated with the power grid in control and supervision to improve the utilization rate of new energy while improving the safety and economy of the power system. Summary of the Invention

[0006] The purpose of the present invention is to provide a distributed transaction supervision method and supervision platform based on multi-source data, which solves the contradiction between the stability of the power system caused by fluctuations in wind power generation and photovoltaic power generation and the benefits of grid-connected trading of new energy power generation, improves the utilization rate of new energy and improves the safety and economy of the power system.

[0007] A distributed transaction supervision method based on multi-source data includes the following steps:

[0008] S1. Determine peak power period and valley power period;

[0009] S2. If the power system is in peak power period, peak power trading supervision shall be adopted;

[0010] S3. If the power system is in the off-peak period, off-peak electricity trading supervision will be adopted.

[0011] Optionally, the peak power transaction supervision is specifically:

[0012] S21. For any time t that belongs to the peak power period, the power system is balanced, and the on-grid transaction power of the i-th wind power station is P i ; The grid-connected transaction power of the jth photovoltaic power station is Pj The total power generated by the generators in the power grid is Pf; the power generated by the wind turbines in the i-th wind power station is P i1 ; The charging and discharging power of the energy storage device of the i-th wind power station is P i2 ; The photovoltaic power generation power of the jth photovoltaic power station is P j1 ; The charging and discharging power of the energy storage device of the jth photovoltaic power station is P j2 ;

[0013]

[0014] P i =P i1 +P i2 ;

[0015] P j =P j1 +P j2 ;

[0016] P load is the total load power, P loss is the power system loss at time t, i is the number of wind power stations and is a positive integer less than or equal to N, j is the number of photovoltaic power stations and is a positive integer less than or equal to M.

[0017] Optionally, the following steps are also included:

[0018] S22. At any time t+1, the power generation of the photovoltaic power station and the wind power station changes. If the sum of the power generation increments of all photovoltaic power stations and wind power stations is greater than the regulation capacity of the power system, then the sum of the power generation increments of all photovoltaic power stations and wind power stations minus the regulation capacity of the power system is used to obtain a first excess power, and the site controller controls the first excess power to charge the energy storage device; if the sum of the power generation increments of all photovoltaic power stations and wind power stations is greater than zero and less than or equal to the regulation capacity, the network loss rate is checked to determine the grid-connected transaction power increment of the photovoltaic power station and wind power station; if the sum of the power generation increments of the photovoltaic power station and wind power station is equal to zero, the power generation of the photovoltaic power station and wind power station is not adjusted; if the sum of the power generation increments of the photovoltaic power station and wind power station is less than zero, the AGC controller mobilizes the generators in the power system for power balancing to stabilize the grid frequency.

[0019] Optionally, the regulation capacity of the power system is the reserve capacity of the power system, and the reserve capacity is a certain proportion of the total capacity of the power system, and the proportion is 10%-30%.

[0020] Optionally, if the sum of the incremental power generation of the photovoltaic power station and the wind power station is greater than zero and less than or equal to the portion of the regulation capacity, the grid loss rate is checked to determine the incremental power generation of the photovoltaic power station and the wind power station, specifically:

[0021] The change in power generation of the wind power station is:

[0022]

[0023] ΔP i is the change in power generation of the i-th wind power station;

[0024] The change in power generation of the photovoltaic power station is:

[0025]

[0026] ΔP j is the change in power generation of the j-th photovoltaic power station;

[0027] Power power The proportional coefficient k1 is 0.95-0.8, R is an integer, and the power

[0028] S23, when step S23 is first executed, R=1, simulate the injection of ΔP1 into the power grid, update the power system flow distribution and obtain the new power system network loss, and judge whether the network loss change rate exceeds the threshold. If not, all transactions of ΔP1 are input into the power grid, and The power is used to charge the energy storage device; if the network loss change rate exceeds the threshold, step S24 is executed;

[0029] S24, if ΔP1>ΔP3, ΔP1=ΔP2, then increase R by 1, and execute step S23 using the corrected ΔP1;

[0030] If ΔP1≤ΔP3, execute step S25;

[0031] S25, input all the ΔP3 transactions into the power grid, The power is used to charge the energy storage device.

[0032] Optionally, the valley electricity transaction supervision is specifically as follows:

[0033] S31. At any time during the off-peak period, obtain the generated power of each wind power station and calculate the average value;

[0034] S32: The generated power of the wind power stations whose generated power is greater than or equal to the average value is input into the grid as the on-grid transaction power, and the generated power of the wind power stations whose generated power is less than the average value is used to charge the energy storage device;

[0035] S33. If the energy storage device is less than 50% of its rated capacity after half of the off-peak period, the AGC controller controls the grid to charge the energy storage device to 50-70% of its rated capacity.

[0036] S34. If, during off-peak hours, the grid frequency drops and deviates from the normal threshold, which may be 49.9 Hz, the photovoltaic power stations and wind power stations are distributed throughout the grid and can respond quickly to frequency regulation. Therefore, the AGC controller first controls the energy storage devices of each photovoltaic power station to discharge into the grid to increase the active power of the grid and achieve rapid regulation of the primary frequency of the grid. If, after the energy storage devices of each photovoltaic power station discharge into the grid and adjust the frequency, the grid frequency has not yet recovered to within the normal threshold, the AGC controller inputs the generated power of the wind power station whose generated power is less than the average value into the grid as the on-grid transaction power to achieve secondary frequency regulation of the grid. If, after the secondary frequency regulation, the grid frequency has not yet recovered to within the normal threshold, the AGC controller controls the energy storage devices of each wind power station to discharge into the grid to perform tertiary frequency regulation to achieve regulation of the grid frequency.

[0037] Optionally, the following steps are also included:

[0038] S4. For any peak power period, obtain the difference between the sum of the current power generation of each wind power station and the sum of the power generation of each wind power station at the previous moment as a first difference; obtain the difference between the sum of the current power generation of each photovoltaic power station and the sum of the power generation of each photovoltaic power station at the previous moment as a second difference;

[0039] If the first difference / the second difference is greater than 2, the AGC controller controls each wind power station to trade with the first difference increased by 0.5 times and send it to the grid at the next moment, and the site controller controls another 0.5 times the first difference to charge the energy storage device of the wind power station;

[0040] If the first difference / second difference is less than 0.5, the AGC controller controls each photovoltaic power station to trade into the grid at the next moment according to the second difference increased by 0.8 times, and the site controller controls another 0.2 times the second difference to charge the energy storage device of the wind power station.

[0041] Optionally, the following steps are also included:

[0042] S5. For any off-peak period, obtain the difference between the sum of the current power generation of each wind power station and the sum of the power generation of each wind power station at the previous moment as a third difference; obtain the difference between the current total load power of the power grid and the total load power of the power grid at the previous moment as a fourth difference;

[0043] If |third difference / fourth difference|>4, the AGC controller controls each wind power station to charge the energy storage device of the wind power station with the generated power at the next moment.

[0044] A supervision platform, which, when running, executes the distributed transaction supervision method based on multi-source data, and includes a new energy power generation system, a power grid, and a generator in the power system;

[0045] The new energy power generation system includes multiple photovoltaic power stations and wind power stations;

[0046] Photovoltaic power plants, wind power plants and generators supply electricity to users through the power grid.

[0047] Optionally, each photovoltaic power station and wind power station includes a power generation system, an energy storage device, a collector and a site controller. The dispatching center of the power grid is equipped with an AGC controller, which connects and controls the power generation system and the site controller. The power generation system and the energy storage device are connected to the power grid through lines. The collector is set at the grid connection point of the line. The collector can collect the grid connection frequency and grid connection power and transmit them to the site controller. The site controller connects and controls the power generation system and the energy storage device.

[0048] Beneficial technical effects:

[0049] By trading the newly added photovoltaic and wind power generation power into the power grid as much as possible during peak and valley periods, so that the network loss change rate does not exceed the threshold, the utilization rate of new energy is improved without significantly increasing the power system network loss, thereby improving the economy of the entire power system and achieving optimized operation of the power grid and new energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0051] Figure 1 Schematic diagram of a power system according to an embodiment of the present invention.

[0052] Figure 2 Schematic diagram of a photovoltaic or wind power generation system according to an embodiment of the present invention.

[0053] Figure 3 This is a flow chart of a method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0055] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0056] Example 1

[0057] A distributed transaction supervision method and supervision platform based on multi-source data, the supervision platform includes a new energy power generation system, a power grid and a generator 3 in the power system.

[0058] The new energy power generation system includes a plurality of photovoltaic power stations 1 and wind power stations 2 .

[0059] The photovoltaic power station 1, the wind power station 2 and the generator 3 supply electricity to users through the power grid.

[0060] It can be understood that the multiple photovoltaic power stations 1 include multiple photovoltaic panels, a concentrator, a converter (DC / DC or DC / AC) and a grid connection line.

[0061] It can be understood that the multiple wind power stations 2 all include multiple wind turbines, combiners, converters (AC / DC or AC / AC) and grid lines.

[0062] Each photovoltaic power station 1 and wind power station 2 includes a power generation system, an energy storage device, a collector and a site controller. The grid dispatching center is equipped with an AGC controller, which connects and controls the power generation system and the site controller. The power generation system and the energy storage device are connected to the grid through lines. The collector is set at the grid connection point of the line. The collector can collect the grid connection frequency and grid connection power and transmit them to the site controller. The site controller connects and controls the power generation system and the energy storage device.

[0063] Optionally, the energy storage device is connected to the power generation system via a transmission line, and the connection point is located on the power generation system side of the grid connection point; optionally, the connection point is located at the grid connection point.

[0064] Optionally, the power generation system or the energy storage device supplies power to the grid alone, or the power generation system and the energy storage device supply power to the grid simultaneously.

[0065] Optionally, the power generation system supplies power to the grid and simultaneously charges the energy storage device.

[0066] The grid-connected power of distributed renewable energy photovoltaic power station 1 and wind power station 2 is supervised and controlled by the AGC controller and site controller as multi-source transaction data.

[0067] A distributed transaction supervision method based on multi-source data includes:

[0068] S1. Determine peak power period and valley power period.

[0069] Optionally, the peak electricity period is: 8:00-22:00, and the valley electricity period is: 22:00-8:00 the next day.

[0070] Optionally, the peak electricity price is 0.5 yuan / kWh and the valley electricity price is 0.27 yuan / kWh.

[0071] By determining the peak and valley power periods, and the period in which the power system is located, the supervision and control of different distributed photovoltaic and wind power transactions can be determined, which not only improves the management effect of the power system, but also improves the economy of photovoltaic and wind power.

[0072] S2. If the power system is in the peak power period, peak power trading supervision will be adopted.

[0073] The peak power transaction supervision is specifically as follows:

[0074] S21. At any time t that falls within the peak power period, the power system is balanced.

[0075] Specifically, let the grid-connected transaction power of the i-th wind power station be P i ;

[0076] The grid-connected transaction power of the j-th photovoltaic power station is P j ;

[0077] The total power generated by generator 3 in the power grid is Pf;

[0078] The power generated by the wind turbine of the i-th wind power station is P i1 ;

[0079] The charging and discharging power of the energy storage device of the i-th wind power station is P i2 ;

[0080] The photovoltaic power generation power of the jth photovoltaic power station is P j1 ;

[0081] The charging and discharging power of the energy storage device of the jth photovoltaic power station is P j2 ;

[0082]

[0083] P i =P i1 +P i2;

[0084] P j =P j1 +P j2 ;

[0085] P load is the total load power, P loss is the power system loss at time t, i is the number of wind power stations and is a positive integer less than or equal to N, and j is the number of photovoltaic power stations and is a positive integer less than or equal to M. At this time, the power generation power and load power of the power system are balanced, the power system frequency is stable, and the transaction is stable.

[0086] S22. At any time t+1, the power generation of the photovoltaic power station and the wind power station changes. If the sum of the power generation increments of the photovoltaic power station and the wind power station is greater than the regulation capacity of the power system, the sum of the power generation increments of the photovoltaic power station and the wind power station minus the regulation capacity of the power system is used to obtain a first excess power, and the site controller controls the first excess power to charge the energy storage device; if the sum of the power generation increments of the photovoltaic power station and the wind power station is greater than zero and less than or equal to the regulation capacity, the network loss rate is checked to determine the grid transaction power increment of the photovoltaic power station and the wind power station; if the sum of the power generation increments of the photovoltaic power station and the wind power station is equal to zero, the power generation of the photovoltaic power station and the wind power station is not adjusted; if the sum of the power generation increments of the photovoltaic power station and the wind power station is less than zero, the AGC controller mobilizes generator 3 in the power system for power balancing to stabilize the grid frequency.

[0087] The regulation capacity of the power system may be the reserve capacity of the power system, where the reserve capacity is a certain proportion of the total capacity of the power system, for example, 10%-30%.

[0088] If the sum of the incremental power generation of the photovoltaic power station and the wind power station is greater than zero and less than or equal to the regulation capacity, the network loss rate is checked to determine the incremental power generation of the photovoltaic power station and the wind power station, specifically:

[0089] The change in power generation of the wind power station is:

[0090]

[0091] ΔP i is the change in power generation of the i-th wind power station;

[0092] The change in power generation of the photovoltaic power station is:

[0093]

[0094] ΔP j is the change in power generation of the j-th photovoltaic power station;

[0095] Power Power The proportionality coefficient k1 is 0.95 - 0.8, R is an integer, and the power

[0096] S23. When step S23 is executed for the first time, R = 1. Simulate injecting ΔP1 into the power grid, update the power flow distribution of the power system, and obtain the new power system line loss. Determine whether the line loss change rate exceeds the threshold. If it does not exceed, input all the ΔP1 transactions into the power grid, and the power of charges the energy storage device; At this time, after injecting ΔP1 into the power grid, it does not cause an increase in the line loss. Thus, it not only improves the utilization rate of new energy but also does not significantly increase the power system line loss, thereby improving the economy of new energy trading during peak power periods. If the line loss change rate exceeds the threshold, execute step S24.

[0097] S24. If ΔP1 > ΔP3, after ΔP1 = ΔP2, increase R by 1, and use the corrected ΔP1 to execute step S23;

[0098] If ΔP1 ≤ ΔP3, execute step S25; [[ID=q16]]

[0099] S25. Input all the ΔP3 transactions into the power grid, and the power of charges the energy storage device.

[0100] By trading the generated power of newly added photovoltaic and wind power into the power grid as much as possible during peak power periods to make the line loss change rate not exceed the threshold, it not only improves the utilization rate of new energy but also does not significantly increase the power system line loss, improves the economy of the entire power system, and realizes the optimal operation of the power grid and the new energy system.

[0101] Optionally, the line loss change rate can be calculated as: The new power system line loss is P loss-update ;

[0102] The line loss change rate is: |P loss-update - P loss | / P loss < k, where k is the threshold, and k ranges from 0.5% - 1%.

[0103] The line loss includes the sum of the line loss and the transformer loss:

[0104] The line loss ΔPL is: P, Q, and V are the active power, reactive power, and voltage at the end of the line respectively, and R is the line resistance;

[0105] The transformer loss ΔPT is: ΔP S and ΔP0 are the short - circuit loss and no - load loss of the transformer respectively; S and S e are the operating capacity and rated capacity of the transformer respectively.

[0106] S3. If the power system is in the off-peak period, off-peak electricity trading supervision will be adopted.

[0107] The specific supervision of valley electricity transactions is as follows:

[0108] During off-peak hours, photovoltaic power generation is small or non-existent, so photovoltaic trading is not considered for grid access.

[0109] S31. At any time point belonging to the off-peak period, obtain the power generation of each wind power station and calculate the average value.

[0110] S32: The generated power of the wind power station with a generated power greater than or equal to the average value is input into the grid as the on-grid transaction power, and the generated power of the wind power station with a generated power less than the average value is used to charge the energy storage device.

[0111] S33. If the charge amount of the energy storage device does not reach 50% of its rated capacity when the off-peak period is more than halfway through, the AGC controller controls the grid to charge the energy storage device to 50-70% of its rated capacity.

[0112] S34. If, during off-peak hours, the grid frequency drops and deviates from the normal threshold, which may be 49.9 Hz, the photovoltaic power stations and wind power stations are distributed throughout the grid and can respond quickly to frequency regulation. Therefore, the AGC controller first controls the energy storage devices of each photovoltaic power station to discharge into the grid to increase the active power of the grid and achieve rapid regulation of the primary frequency of the grid. If, after the energy storage devices of each photovoltaic power station discharge into the grid and adjust the frequency, the grid frequency has not yet recovered to within the normal threshold, the AGC controller inputs the generated power of the wind power station whose generated power is less than the average value into the grid as the on-grid transaction power to achieve secondary frequency regulation of the grid. If, after the secondary frequency regulation, the grid frequency has not yet recovered to within the normal threshold, the AGC controller controls the energy storage devices of each wind power station to discharge into the grid to perform tertiary frequency regulation to achieve regulation of the grid frequency.

[0113] Example 2

[0114] In the first embodiment, the supervision and frequency regulation after the grid frequency decreases are considered. This embodiment considers the supervision and frequency regulation after the grid frequency increases.

[0115] During peak power periods, on the one hand, if the power generation of photovoltaic power stations and wind power stations is increased and traded into the power grid, the income from new energy power generation and the effective utilization of new energy can be increased; on the other hand, if the new energy power generation power is traded into the grid in large quantities in a short period of time, it exceeds the response time interval of the power system generator 3, and the untimely response of the generator 3 leads to excess active power, thereby causing the grid frequency to rise.

[0116] The distributed transaction supervision method based on multi-source data also includes:

[0117] S4. For any peak power period, obtain the difference between the sum of the current power generation of each wind power station and the sum of the power generation of each wind power station at the previous moment as the first difference; obtain the difference between the sum of the current power generation of each photovoltaic power station and the sum of the power generation of each photovoltaic power station at the previous moment as the second difference.

[0118] If the first difference / second difference is greater than 2, it means that the inertia of the wind power station is large and the power generation capacity increases too rapidly. If all transactions are connected to the grid, it may cause the grid frequency to rise. At this time, the AGC controller controls each wind power station to send transactions into the grid at the next moment according to the first difference increased by 0.5 times, and the site controller controls another 0.5 times the first difference to charge the energy storage device of the wind power station.

[0119] If the first difference / second difference is less than 0.5, it means that the power generation of the photovoltaic power station increases too rapidly. However, due to the small inertia of the photovoltaic power station, it is affected by the changes in sunlight more quickly. Photovoltaic resources should be utilized as much as possible. At this time, the AGC controller controls each photovoltaic power station to trade 0.8 times the second difference into the grid at the next moment, and the site controller controls another 0.2 times the second difference to charge the energy storage device of the wind power station.

[0120] This asymmetric setting allows the power system to quickly adapt to changes in photovoltaic and wind power generation, thereby suppressing excessive short-term power injection and avoiding excessive grid frequency.

[0121] S5. For any valley power period, obtain the difference between the sum of the current power generation of each wind power station and the sum of the power generation of each wind power station at the previous moment as the third difference; obtain the difference between the current total load power of the power grid and the total load power of the power grid at the previous moment as the fourth difference.

[0122] If |third difference / fourth difference|>4, the wind power station's generated power increases significantly while the load power decreases rapidly. If all transactions are connected to the grid, it may cause the grid frequency to rise. At this time, the AGC controller controls each wind power station to use the generated power to charge the wind power station's energy storage device at the next moment, avoiding frequency exceeding the standard caused by a huge amount of wind power station generated power being connected to the grid for a short period of time.

[0123] In the method of the present invention, the AGC controller and the site controller can be used to obtain, analyze and control various parameters or data.

[0124] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present application also provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute a distributed transaction supervision method based on multi-source data.

[0125] The computer-readable media of this embodiment include permanent and non-permanent, removable and non-removable media that can be used to store information by any method or technology. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0126] 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, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. 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.

[0127] 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, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. 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.

[0128] It should be noted that the serial numbers of the embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0129] The above are only preferred embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, and the various embodiments or schemes can be arbitrarily combined, are also included in the patent protection scope of the present invention.

Claims

1. A distributed transaction supervision method based on multi-source data, characterized in that: The steps include: S1. Determine peak power period and valley power period; S2. If the power system is in peak power period, peak power trading supervision shall be adopted; including: S21. At any time t+1, the power generation of the photovoltaic power station and the wind power station changes. If the sum of the power generation increments of all photovoltaic power stations and wind power stations is greater than the regulating capacity of the power system, then the sum of the power generation increments of all photovoltaic power stations and wind power stations minus the regulating capacity of the power system is used to obtain a first excess power, and the site controller controls the first excess power to charge the energy storage device. If the sum of the power generation increments of all photovoltaic power stations and wind power stations is greater than zero and less than or equal to the regulating capacity, the network loss rate is verified to determine the power increments for grid transaction of the photovoltaic power stations and wind power stations. If the sum of the power generation increments of the photovoltaic power stations and wind power stations is equal to zero, no power generation adjustment is made to the photovoltaic power stations and wind power stations. If the sum of the power generation increments of the photovoltaic power stations and wind power stations is less than zero, the AGC controller mobilizes the generators in the power system for power balancing to stabilize the grid frequency. The determination of the incremental power of the photovoltaic power station and the wind power station for on-grid transaction is specifically as follows: The change in power generation of the wind power station is: , The change in power generation of the photovoltaic power station is: , and is the power generation change of the i-th wind power station and the j-th photovoltaic power station; Let the initial power be , the intermediate power is ,power , the proportional coefficient k1 is 0.95-0.8, R is an integer, the power ; S22, when step S22 is first executed, R=1 and , the simulation will Inject the power grid, update the power system flow distribution and obtain the new power system network loss, and judge whether the network loss change rate exceeds the threshold. If not, All transactions are fed into the grid. The power is used to charge the energy storage device; if the network loss change rate exceeds the threshold, step S23 is executed; S23, if , Then increase R by 1 and use the corrected Execute step S22; like , execute step S24; S24, will All transactions are fed into the grid. The power is used to charge the energy storage device; S3. If the power system is in the off-peak period, off-peak electricity trading supervision will be adopted.

2. The method according to claim 1, wherein: The specific supervision of valley electricity transactions is as follows: S31. At any time during the off-peak period, obtain the generated power of each wind power station and calculate the average value; S32: The generated power of the wind power stations whose generated power is greater than or equal to the average value is input into the grid as the on-grid transaction power, and the generated power of the wind power stations whose generated power is less than the average value is used to charge the energy storage device; S33. If the charge amount of the energy storage device does not reach 50% of its rated capacity when the off-peak period is more than halfway through, the AGC controller controls the grid to charge the energy storage device to 50-70% of its rated capacity.

3. The method according to claim 2, wherein: The use of valley electricity transaction supervision also includes: S34. During off-peak hours, the AGC controller first controls the energy storage devices of each photovoltaic power station to discharge into the grid to increase the active power of the grid and achieve rapid regulation of the primary frequency of the grid. If the grid frequency has not recovered to within the normal threshold after the energy storage devices of each photovoltaic power station discharge into the grid and adjust the frequency, the AGC controller inputs the generated power of the wind power station whose generated power is less than the average value into the grid as the on-grid transaction power to achieve secondary frequency regulation of the grid. If the grid frequency has not recovered to within the normal threshold after the secondary frequency adjustment, the AGC controller controls the energy storage devices of each wind power station to discharge into the grid to perform tertiary frequency adjustment to achieve regulation of the grid frequency.

4. The method according to claim 1, wherein: The regulation capacity of the power system is the reserve capacity of the power system, and the reserve capacity is a certain proportion of the total capacity of the power system, and the proportion is 10%-30%.

5. The method according to claim 1, wherein: The following steps are also included: S4. For any peak power period, obtain the difference between the sum of the current power generation of each wind power station and the sum of the power generation of each wind power station at the previous moment as a first difference; obtain the difference between the sum of the current power generation of each photovoltaic power station and the sum of the power generation of each photovoltaic power station at the previous moment as a second difference; If the first difference / the second difference is greater than 2, the AGC controller controls each wind power station to trade with the first difference increased by 0.5 times and send it to the grid at the next moment, and the site controller controls another 0.5 times the first difference to charge the energy storage device of the wind power station; If the first difference / second difference is less than 0.5, the AGC controller controls each photovoltaic power station to trade into the grid at the next moment according to the second difference increased by 0.8 times, and the site controller controls another 0.2 times the second difference to charge the energy storage device of the wind power station.

6. The method according to claim 1, wherein: The following steps are also included: S5. For any off-peak period, obtain the difference between the sum of the current power generation of each wind power station and the sum of the power generation of each wind power station at the previous moment as a third difference; obtain the difference between the current total load power of the power grid and the total load power of the power grid at the previous moment as a fourth difference; If |third difference / fourth difference|>4, the AGC controller controls each wind power station to charge the energy storage device of the wind power station with the generated power at the next moment.

7. A supervision platform, which, when running, executes the distributed transaction supervision method based on multi-source data according to any one of claims 1 to 5, characterized in that: The regulatory platform includes renewable energy power generation systems, power grids, and generators in the power system; The new energy power generation system includes multiple photovoltaic power stations and wind power stations; Photovoltaic power plants, wind power plants and generators supply electricity to users through the power grid.

8. The supervision platform according to claim 7, characterized in that: Each photovoltaic power station and wind power station includes a power generation system, an energy storage device, a collector and a site controller. The power grid's dispatching center is equipped with an AGC controller, which connects and controls the power generation system and the site controller. The power generation system and the energy storage device are connected to the power grid through lines. The collector is set at the grid connection point of the line. The collector can collect the grid-connected frequency and grid-connected power and transmit them to the site controller. The site controller connects and controls the power generation system and the energy storage device.

Citation Information

Patent Citations

  • Wind storage cooperative tracking power generation method and device

    CN115306641A