Distributed transaction supervision method and platform based on multi-source data

By adopting a distributed transaction supervision method based on multi-source data in the power system, the power system stability and new energy utilization rate caused by the volatility of wind power generation and photovoltaic power generation is solved, and the stability of the power grid frequency and efficient utilization of new energy are achieved.

CN119722307AActive Publication Date: 2025-03-28NORTH CHINA ELECTRIC POWER UNIV +2
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Patent Information

Application Number
CN202411591727.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-08
Publication Date
2025-03-28
Estimated Expiration
2044-11-08

AI Technical Summary

Technical Problem

The volatility of wind power generation and photovoltaic power generation leads to contradictory power system stability and the benefits of grid-connected trading of new energy generation, affecting the stability of grid frequency and the utilization rate of new energy.

Method used

A distributed transaction supervision method and supervision platform based on multi-source data is adopted to determine peak and valley power periods, and corresponding transaction supervision strategies are implemented, including adjusting the online trading power of wind power plants and photovoltaic power plants, and charging and discharging using energy storage devices to maintain the power balance and frequency stability of the power system.

Benefits of technology

It improves the utilization rate of new energy, enhances the safety and economy of the power system, avoids excessive grid frequency, and realizes the optimized operation of the power grid and new energy system.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a distributed transaction supervision method and platform based on multi-source data, and belongs to the technical field of new energy power grids. The method comprises the following steps: S1, determining a peak electricity period and a valley electricity period; s2, if the power system is in the peak power period, peak power transaction supervision is adopted; and S3, if the power system is in the off-peak electricity period, off-peak electricity transaction supervision is adopted. According to the invention, the problem of contradiction between the stability of the power system and the grid-connected transaction benefit of new energy power generation caused by fluctuation of wind power generation and photovoltaic power generation is solved, the utilization rate of new energy is improved, and the safety and economy of the power system are improved.
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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 with their green and environmentally friendly characteristics, and the proportion of distributed new energy power generation connected to the power grid is increasing rapidly.

[0003] However, there are 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 revenue from new energy power generation and the effective utilization of new energy can be increased. However, if the new energy power generation 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 terms of control and supervision to increase 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 the fluctuations of wind power generation and photovoltaic power generation and the trading benefits of new energy power generation grid connection, 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 the peak power period and the valley power period;

[0009] S2. If the power system is in the peak power period, peak power trading supervision is 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 online trading 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 generation of the generators in the power grid is Pf; The power generation of the wind turbine 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, the sum of the power generation increments of all photovoltaic power stations and wind power stations minus the regulation capacity of the power system obtains the 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 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 will not be 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 the generators in the power system to balance power 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 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 power increments 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 power generation change 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 power generation change of the jth 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 executed for the first time, 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. 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 R is increased by 1, and step S23 is executed using the corrected ΔP1;

[0030] If ΔP1≤ΔP3, execute step S25;

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

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

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

[0034] S32, the power generation of the wind power station with a power generation greater than or equal to the average value is input into the grid as the online trading power, and the power generation of the wind power station with a power generation less than the average value is used to charge the energy storage device;

[0035] S33, if the charge amount of the energy storage device does not reach 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 the off-peak period, the grid frequency decreases and deviates from the normal threshold, the normal threshold may be 49.9 Hz. Since photovoltaic power stations and wind power stations are distributed throughout the grid, they can respond quickly to frequency regulation. Therefore, the AGC controller first controls the energy storage devices of each photovoltaic power station to discharge to 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 the normal threshold after the energy storage devices of each photovoltaic power station discharge to the grid and adjust the frequency, the AGC controller inputs the power generation of the wind power station whose power generation is less than the average value into the grid as the online transaction power to achieve secondary frequency regulation of the grid. If the grid frequency has not recovered to the normal threshold after the secondary frequency regulation, the AGC controller controls the energy storage devices of each wind power station to discharge to the grid to perform tertiary frequency regulation to achieve regulation of the grid frequency.

[0037] Optionally, the method further includes the following steps:

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

[0039] If the first difference / the second difference>2, the AGC controller controls each wind power station to trade into the power 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;

[0040] If the first difference / the 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 method further includes the following steps:

[0042] S5. For any valley power period, obtain the difference between the sum of the power generation of each wind power station at the current moment 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 total load power of the power grid at the current moment and the total load power of the power grid at the previous moment as the 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 executes the distributed transaction supervision method based on multi-source data when running, and the supervision platform 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 provided with an AGC controller, which connects to 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 arranged 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 is connected to 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 of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

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

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

[0053] Figure 3 The figure 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 scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with 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 article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0056] Embodiment 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 plurality of photovoltaic power stations 1 include a plurality of photovoltaic panels, a concentrator, a converter (DC / DC or DC / AC) and a grid-connected 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-connected 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 dispatching center of the power grid is provided 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 arranged 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 at the same time the power generation system charges the energy storage device.

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

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

[0068] S1. Determine the peak power period and the 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 time 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. For any time t that belongs to the peak power period, the power system is balanced.

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

[0076] The grid-connected transaction power of the jth 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 network 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. At this time, the power generation power and load power of the power system are balanced, the frequency of the power system 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 obtains the 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-connected 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 the generator 3 in the power system to balance power to stabilize the grid frequency.

[0087] The regulation capacity of the power system may be the reserve capacity of the power system, and the reserve capacity is a certain proportion of the total capacity of the power system, for example, a proportion of 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 power generation change 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 power generation change of the jth 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 power loss. Determine whether the power loss change rate exceeds the threshold. If it does not exceed, input all the ΔP1 transactions into the power grid, and the power is used to charge the energy storage device; at this time, after injecting ΔP1 into the power grid, it does not cause an increase in power loss. Thus, it not only improves the utilization rate of new energy but also does not significantly increase the power system power loss, thereby improving the economy of new energy trading during peak power periods. If the power 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;

[0099] S25. Input all the ΔP3 transactions into the power grid, and the power is used to charge 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, so that the power loss change rate does not exceed the threshold, it not only improves the utilization rate of new energy but also does not significantly increase the power system power 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 power loss change rate can be calculated as: The new power system power loss is P loss-update ;

[0102] The power 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 power loss includes the sum of line loss and 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 trading is not considered because the photovoltaic power generation is small or non-existent.

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

[0110] S32, the power generation of the wind power station with a power generation greater than or equal to the average value is input into the grid as the online trading power, and the power generation of the wind power station with a power generation 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, the AGC controller controls the grid to charge the energy storage device to 50-70% of its rated capacity.

[0112] S34. If during the off-peak period, the grid frequency decreases and deviates from the normal threshold, the normal threshold may be 49.9 Hz. Since photovoltaic power stations and wind power stations are distributed throughout the grid, they can respond quickly to frequency regulation. Therefore, the AGC controller first controls the energy storage devices of each photovoltaic power station to discharge to 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 the normal threshold after the energy storage devices of each photovoltaic power station discharge to the grid and adjust the frequency, the AGC controller inputs the power generation of the wind power station whose power generation is less than the average value into the grid as the online transaction power to achieve secondary frequency regulation of the grid. If the grid frequency has not recovered to the normal threshold after the secondary frequency regulation, the AGC controller controls the energy storage devices of each wind power station to discharge to the grid to perform tertiary frequency regulation to achieve regulation of the grid frequency.

[0113] Embodiment 2

[0114] In the first embodiment, the supervision and frequency regulation after the grid frequency decreases are considered, and 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 is traded into the grid in large quantities in a short period of time, exceeding the response time interval of the power system generator 3, and due to the untimely response of the generator 3, excess active power will occur, thereby causing the power grid frequency to rise.

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

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

[0118] If the first difference / second difference>2, it means that the inertia of the wind power station is large and the power generation increases too quickly. 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 <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 sunlight and changes more quickly. Photovoltaic resources should be utilized as much as possible. At this time, the AGC controller controls each photovoltaic power station to trade into the power 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.

[0120] This asymmetric setting allows the power system to quickly adapt to changes in photovoltaic and wind power generation, thereby suppressing the short-term injection of excessive power 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 power generation capacity increases greatly while the load power decreases rapidly. If all transactions are connected to the grid, the grid frequency may increase. At this time, the AGC controller controls each wind power station to charge the wind power station's energy storage device with the power generation capacity at the next moment, avoiding frequency exceeding the standard caused by a huge amount of wind power station power generation being connected to the grid in a short 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, wherein the non-transitory computer-readable storage medium 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 medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, 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 disk read-only memory (CD-ROM), digital versatile disk (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 of ordinary skill 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 composition and steps of each example have been generally described in terms of function in the above description. 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 of ordinary skill 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 composition and steps of each example have been generally described in terms of function in the above description. 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 are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, and any combination of embodiments or schemes 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 the peak power period and the valley power period; S2. If the power system is in the peak power period, peak power trading supervision is adopted; 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, characterized in that: The peak power transaction supervision is specifically as follows: S21. For any time t that belongs to the peak power period, the power system is balanced, and the online trading power of the i-th wind power station is P i ; The grid-connected transaction power of the jth photovoltaic power station is P j ; The total power generation of the generators in the power grid is Pf; The power generation of the wind turbine 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 ; P i =P i1 +P i2 ; P j =P j1 +P j2 ; 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.

3. The method according to claim 2, characterized in that: It also includes the following steps: 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, the sum of the power generation increments of all photovoltaic power stations and wind power stations minus the regulation capacity of the power system obtains the 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 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 will not be 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 the generators in the power system to balance power to stabilize the grid frequency.

4. The method according to claim 3, characterized in that: The regulating 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 3, characterized in that: 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: The change in power generation of the wind power station is: ΔP i is the power generation change of the i-th wind power station; The change in power generation of the photovoltaic power station is: ΔP j is the power generation change of the jth photovoltaic power station; Power power The proportional coefficient k1 is 0.95-0.8, R is an integer, and the power S23. When step S23 is executed for the first time, 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. The power is used to charge the energy storage device; if the network loss change rate exceeds the threshold, step S24 is executed; S24, if ΔP1>ΔP3, ΔP1=ΔP2, then R is increased by 1, and step S23 is executed using the corrected ΔP1; If ΔP1≤ΔP3, execute step S25; S25, input all transactions of ΔP3 into the power grid, The power is used to charge the energy storage device.

6. The method according to claim 1, characterized in that: The specific supervision of valley electricity transactions is as follows: S31. At any time in the off-peak period, obtain the power generation of each wind power station and calculate the average value; S32, the power generation of the wind power station with a power generation greater than or equal to the average value is input into the grid as the online trading power, and the power generation of the wind power station with a power generation 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 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; S34. If it is during the off-peak period, 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 realize rapid regulation of the primary frequency of the grid; if the grid frequency has not recovered to 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 power generation of the wind power station whose power generation is less than the average value into the grid as the online trading power to realize secondary frequency regulation of the grid; if the grid frequency has not recovered to the normal threshold after the secondary frequency regulation, the AGC controller controls the energy storage devices of each wind power station to discharge into the grid to perform tertiary frequency regulation to realize regulation of the grid frequency.

7. The method according to claim 1, characterized in that: The following steps are also included: S4. For any peak power period, the difference between the sum of the power generation of each wind power station at the current moment and the sum of the power generation of each wind power station at the previous moment is obtained as the first difference; the difference between the sum of the power generation of each photovoltaic power station at the current moment and the sum of the power generation of each photovoltaic power station at the previous moment is obtained as the second difference; If the first difference / the second difference>2, the AGC controller controls each wind power station to trade into the power 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; If the first difference / the 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.

8. The method according to claim 1, characterized in that: The following steps are also included: S5. For any valley power period, obtain the difference between the sum of the power generation of each wind power station at the current moment 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 total load power of the power grid at the current moment and the total load power of the power grid at the previous moment as the 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.

9. A supervision platform, which executes the distributed transaction supervision method based on multi-source data according to any one of claims 1 to 8 when running, characterized in that: The regulatory platform includes new 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.

10. The supervision platform according to claim 9, 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 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 is connected to and controls the power generation system and the energy storage device.

Citation Information

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