A loss reduction control method for wind power and energy storage coordination to promote wind power consumption

Abstract

The present invention discloses a loss reduction control method for wind power and energy storage coordination to promote wind power consumption, which belongs to the field of wind farm control technology in power systems. The method includes the following steps: Step A: Determine that the application scenario of the loss reduction control method is the night time period; Step B: Collect 96 points of historical load and wind power output data in a day, predict the load and wind power output of the day based on the historical data, and calculate the initial average power charged to the energy storage system based on the predicted wind power and load power difference; Step C: At the beginning of the valley period, control the power grid to use the initial average power P gridp The system then collects real-time data on wind power output and continuously adjusts the average power transmitted from the grid to the energy storage device using a constant transmission power dual-model prediction and calibration method. This method achieves optimal distribution of renewable energy while reducing grid line losses, providing valuable insights into addressing the source-load imbalance that will arise when a high proportion of wind power is integrated into distribution systems in the future.

Description

Technical Field

[0001] The present invention relates to the technical field of wind farm control in power systems, and in particular to a loss reduction control method for promoting coordinated cooperation of wind power storage and wind power consumption. Background Art

[0002] Wind power generation is one of the most mature renewable energy sources, offering the greatest potential for large-scale development and commercial development prospects. Furthermore, available wind energy is widely distributed and possesses enormous reserves worldwide. To achieve energy conservation and emission reduction goals, it is imperative to vigorously develop renewable energy sources such as wind power, increase its proportion in power generation, and build new power companies centered around new energy.

[0003] Wind power generation holds great promise, but its utilization is hampered by numerous factors, primarily the random, fluctuating, and unpredictable nature of wind energy. Wind output and power generation vary at different times of the day. These factors negatively impact wind power utilization, particularly the impact of wind power fluctuations on line losses, which directly impacts the economic benefits of power companies.

[0004] When wind power is used in energy storage systems, its volatility can impact the charging of large-capacity energy storage devices, necessitating coordination with power transmission from the main power source to achieve optimal energy storage. Wind power output fluctuates greatly at night, and energy storage is stored in the energy storage system through both grid charging and wind power charging. However, due to fluctuations in wind power and load, the charging power transmitted by the grid to charge the energy storage system can fluctuate significantly, resulting in significant line losses on the transmission line. Therefore, a prediction and correction method is needed to average grid transmission power and reduce line losses. Summary of the Invention

[0005] The purpose of the present invention is to propose a loss reduction control method for wind power and energy storage coordination to promote wind power consumption, characterized in that the method comprises the following steps:

[0006] Step A: Determine that the application scenario of the loss reduction control method is nighttime; the nighttime includes valley time periods t2 to t3;

[0007] Step B: Collect 96 points of historical load and wind power output data for a day as historical data, predict the load and wind power output for the day based on the historical data, and calculate the initial average power charged to the energy storage system based on the power difference between the predicted wind power output and the load;

[0008] Step C: At the beginning of the valley period, control the grid to use the initial average power P gridp Charge the energy storage device; collect real-time data on wind power output and correct the average power transmitted from the power grid to the energy storage device through the constant transmission power dual-model prediction calibration method.

[0009] The night time period also includes the peak time period t0-t1 and the normal time period t1-t2;

[0010] In step A, the energy storage device discharges during peak hours, stops discharging during normal hours, and charges the energy storage device to full capacity in conjunction with wind power and the power grid during off-peak hours.

[0011] The formula for calculating the initial average power charged to the energy storage system in step B is as follows:

[0012]

[0013] Among them, P l3 (t) is the load power forecast during the valley period, P w3 (t) is the predicted wind power generation power during the valley period, P gridp is the initial average power of the grid during the valley period, E ST is the capacity of the energy storage system, and η is the charging efficiency.

[0014] The step of correcting the average power transmitted from the power grid to the energy storage device in step C includes:

[0015] When the real-time wind power output gap predicts a wind power output amplitude within 20%, the wind power fluctuation in the next unit time is considered to be the same as the real-time wind power fluctuation in the current unit time. The following formula is used to correct the average power transmitted from the grid to the energy storage device:

[0016]

[0017] Among them, P grid3k is the corrected transmission power of the grid during the valley period, t 2k The time node F is k-1 units after t2 o '(t) is the derivative of the wind speed characteristic function, and Pw0j is the real-time wind power generation power within j unit time after time t2.

[0018] The step of correcting the average power transmitted from the power grid to the energy storage device in step C further includes:

[0019] When the real-time wind power output gap predicts a wind power output amplitude of more than 20%, the wind power fluctuation per unit time is distributed to the remaining time period, and the following formula is used to correct the average power transmitted from the grid to the energy storage device:

[0020]

[0021] Among them, P windp Predicting power generation for wind power.

[0022] A loss reduction control device for wind power and energy storage coordination to promote wind power consumption, characterized by comprising:

[0023] A determination module is used to determine that the application scenario of the loss reduction control method is the night time period; the night time period is divided into a peak period t0-t1, a normal period t1-t2, and a valley period t2-t3;

[0024] The collection module is used to collect 96 points of historical load and wind power output data in a day as historical data, predict the load and wind power output for the day based on the historical data, and calculate the initial average power charged to the energy storage system based on the power difference between the predicted wind power output and the load;

[0025] The correction module is used to control the power grid to use the initial average power P at the beginning of the valley period. gridp Charge the energy storage device; collect real-time data on wind power output and correct the average power transmitted from the power grid to the energy storage device through the constant transmission power dual-model prediction calibration method.

[0026] The determination module discharges the energy storage device during peak hours, stops discharging the energy storage device during normal hours, and charges the energy storage device to full capacity in conjunction with wind power and the power grid during valley hours.

[0027] The formula for calculating the initial average power charged to the energy storage system in the collection module is as follows:

[0028]

[0029] Among them, P l3 (t) is the load power forecast during the valley period, P w3 (t) is the predicted wind power generation power during the valley period, P gridp is the initial average power of the grid during the valley period, E ST is the capacity of the energy storage system, and η is the charging efficiency.

[0030] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step of a loss reduction control method for coordinated cooperation between wind power and energy storage to promote wind power consumption is implemented.

[0031] A storage medium stores a computer program, which, when executed by a processor, implements various steps in a loss reduction control method for wind power and energy storage coordination to promote wind power consumption.

[0032] The beneficial effects of the present invention are:

[0033] 1. The present invention can simultaneously coordinate large-capacity energy storage devices to fill peaks and reduce valleys, and at the same time, predict and calibrate the stable power transmission power of the power grid through the constant transmission power dual model, thereby reducing the line loss of power transmission on the grid side and improving the stability and economy of power grid operation.

[0034] 2. The present invention reduces grid line losses while achieving reasonable distribution of new energy, ensuring self-generation and self-use of wind power, and has reference significance for solving the source-load imbalance problem after a high proportion of wind power is connected to the distribution network system in the future. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 Schematic diagram of the loss reduction control method for wind power and energy storage coordination to promote wind power consumption according to the present invention;

[0036] Figure 2 This is a flow chart of the control method for coordinated loss reduction between wind power and energy storage under normal circumstances, taking into account nighttime peak and valley electricity prices.

[0037] Figure 3 A schematic structural diagram of a loss reduction control device for wind power and energy storage coordination to promote wind power consumption according to the present invention;

[0038] Figure 4 Schematic diagram of the structure of the electronic device of the present invention. DETAILED DESCRIPTION

[0039] The present invention proposes a loss reduction control method for wind power and energy storage coordination to promote wind power consumption. The present invention is further described below with reference to the accompanying drawings and specific embodiments.

[0040] Figure 1 This is a schematic diagram of the proposed loss reduction control method for wind power and energy storage coordination to promote wind power consumption. The proposed loss reduction system includes the following equipment: 1) a large-capacity energy storage device; 2) a wind power generation power detection device; 3) a load power detection device; 4) a wind power generation device; 5) a converter; and 7) a main power transmission power control device. The specific steps are as follows:

[0041] Step A: Determine the application scenario for the control strategy: Nighttime is divided into three periods: peak, flat, and off-peak. Time intervals are marked as t0, t1, t2, and t3. Electricity prices vary by period: peak price is P1 (1.2 yuan / kWh), flat price is P2 (0.8 yuan / kWh), and off-peak price is P3 (0.4 yuan / kWh). The on-grid price for wind power is 0.4 yuan / kWh. The wind power and energy storage system coordinate the grid's load supply. During peak periods, the energy storage device discharges; during flat periods, the energy storage device stops discharging; during off-peak periods, the wind power and the grid jointly charge the energy storage device to full capacity.

[0042] Step B: Collect 96 points of historical load and wind power output data within a day, and predict the load and wind power output of the day based on the historical data.

[0043] Step C: At the beginning of the valley period, control the grid to use the initial average power P gridpThe energy storage device is then charged. Real-time data on wind power output is then collected, and the average power transmitted from the grid to the energy storage device is continuously corrected using a constant transmission power dual-model prediction and calibration method.

[0044] Figure 2 This is a flow chart of the control method for coordinated loss reduction of wind power and energy storage after considering the nighttime peak and valley electricity prices under normal circumstances. The wind speed is higher and the load is lower at night in summer, autumn and winter. In the future, the proportion of wind power installed capacity is large. In order to prevent the reverse flow of wind power, the energy storage system should store all the wind energy that overflows at night. Taking into account the difference in peak and valley electricity prices, the energy storage system should be fully charged through the main power supply of the grid at night when wind power cannot fully charge the energy storage system, and discharged during the peak load in the daytime, and all the electricity of the storage system is discharged during the peak period. At this time, the capacity of the energy storage system is E ST .

[0045] The wind speed changes in the fourth quarter are obvious, and the wind speed changes in each season have typical characteristics. The typical simplified wind speed model used is Fo(t). Fo(t) is a function of the wind power output capacity coefficient and time.

[0046] The nighttime period from 18:00 to 6:00 the next day can be divided into three periods: peak, flat, and valley. The peak period is from 18:00 to 22:00, the flat period is from 22:00 to 24:00, and the valley period is from 12:00 to 6:00. The time nodes are t0, t1, t2, and t3 respectively.

[0047] The following is a detailed description of the wind power and energy storage coordinated operation strategy used in the scenario: When in peak hours, the load is large and the load requirements must be met first. The energy storage system discharges and retains 20% of the capacity as a margin to adjust the sharp fluctuations in the load. Wind power is self-generated and used, and power must also be obtained from the grid side. The three share the load power.

[0048]

[0049] Among them, P I (t) is the load power during peak period, P w (t) is the wind power generation power during peak period, P grid (t) is the power transmission power of the power grid during peak period, E ST is the capacity of the energy storage system.

[0050] During normal hours, the load level is normal and the remaining capacity of the energy storage battery is 20%. While ensuring full utilization of wind power, the load is supplied by the grid side and wind power.

[0051]

[0052] Among them, P I2 (t) is the load power in normal period, Pw2 (t) is the wind power generation power in normal period, P grid2 (t) is the power transmission of the power grid during normal period.

[0053] During off-peak hours, the load is low and very stable, and wind power generation is high. At this time, it is necessary to store wind power in the energy storage system in conjunction with the power transmitted from the main power source. During the off-peak electricity price period, the large-capacity energy storage system is fully charged and discharged during peak power times. In this case, the formula is:

[0054]

[0055] Among them, P I3 (t) is the load power forecast during the valley period, P w3 (t) is the predicted wind power generation power during the valley period, P grid3 (t) is the grid transmission power during the valley period, and η is the battery charging efficiency.

[0056] To achieve the goal of reducing line losses, the power transmission of the power grid needs to fluctuate at an average power level at all times. This requires using the collected load and wind power historical data to predict the load and wind power output values for the day, and using the predicted values to determine the average power transmission of the power grid. At the same time, considering the fluctuations in wind power and load, the average power transmission of the power grid needs to be constantly corrected so that the wind power and power grid can fully charge the energy storage system under the influence of fluctuations, and the power grid can transmit at a relatively stable average power level. Therefore, the average transmission power of the initial power grid is:

[0057]

[0058] Among them I wind Wind power installed capacity.

[0059] The average power transmitted by the grid is continuously tracked and corrected while ensuring that the energy storage system is fully charged during off-peak periods. Therefore, a correction is made per unit time to minimize power fluctuations. The constant transmission power dual-model prediction calibration method is used to correct the formula for the average power transmitted by the grid.

[0060] The wind power detection device monitors the real-time wind power P per unit time after time t2. W01 , then the wind power generation in the next unit time is corrected according to the wind speed model

[0061] P w0i =F o '(t 2i )I wind +P w0 ( i-1) , i≥2

[0062] where F' o (t) is the derivative of the wind power capacity factor function, t2i is the time node i units of time after t2.

[0063] The correction model for correcting the grid transmission power in the constant transmission power dual-model prediction calibration method is determined according to different wind speed conditions.

[0064] When the real-time wind power output is close to the predicted wind power output, that is, the difference between the real-time wind power output and the predicted wind power output is within 20%, it is considered that the wind power fluctuation in the next unit time is the same as the real-time wind power fluctuation in the current unit time. At this time, the following formula is used to correct the average power transmitted from the grid to the energy storage:

[0065]

[0066] Among them, P grid3k is the corrected transmission power of the grid during the valley period, t 2k is the time node k-1 units after t2, F' O (t) is the derivative of the wind speed characteristic function, P W0j is the real-time wind power generation power within j unit time after time t2.

[0067] When the real-time wind power output is significantly higher or lower than the historical wind power output, that is, the real-time wind power output gap is more than 20% of the predicted wind power output, the wind power fluctuation per unit time is amortized to the remaining time period. At this time, the following formula is used to correct the average power transmitted by the grid to the energy storage:

[0068]

[0069] Among them, P windp Predicting power generation for wind power.

[0070] The average power transmitted by the power grid is continuously tracked according to the correction formula above, that is, a real-time correction of the average transmission power of the power grid is introduced once per unit time, and the energy storage charging power is adjusted so that the power grid transmits electrical energy to the energy storage device at this average power.

[0071] Figure 3 This is a schematic diagram of the structure of a wind power and energy storage coordinated loss reduction control device for promoting wind power consumption according to the present invention; the device includes:

[0072] A determination module is used to determine that the application scenario of the loss reduction control method is the night time period; the night time period is divided into a peak period t0-t1, a normal period t1-t2, and a valley period t2-t3;

[0073] The collection module is used to collect 96 points of historical load and wind power output data in a day as historical data, predict the load and wind power output for the day based on the historical data, and calculate the initial average power charged to the energy storage system based on the power difference between the predicted wind power output and the load;

[0074] The correction module is used to control the power grid to use the initial average power P at the beginning of the valley period. gridp Charge the energy storage device; collect real-time data on wind power output and correct the average power transmitted from the power grid to the energy storage device through the constant transmission power dual-model prediction calibration method.

[0075] The formula for calculating the initial average power charged to the energy storage system in the collection module is as follows:

[0076]

[0077] Among them, P l3 (t) is the load power forecast during the valley period, P w3 (t) is the predicted wind power generation power during the valley period, P gridp is the initial average power of the grid during the valley period, E ST is the capacity of the energy storage system, and η is the charging efficiency.

[0078] Figure 4 This is a schematic diagram of the structure of an electronic device according to the present invention. The electronic device of this embodiment includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements each step of a loss reduction control method for promoting wind power consumption and coordinated cooperation between wind power and energy storage. There is also a storage medium having the computer program stored thereon. When the processor executes the computer program, it implements each step of a loss reduction control method for promoting wind power consumption and coordinated cooperation between wind power and energy storage.

[0079] This embodiment aims at the situation where a high proportion of wind power output is large but the load is small at night. While coordinating large-capacity energy storage devices to fill peaks and cut valleys, it can also predict and calibrate the stable grid transmission power through the constant transmission power dual model, reduce the line loss of the transmission power on the grid side, and improve the stability and economy of the grid operation. In view of the imbalance of night-time power generation load caused by the large-scale access of high-proportion new energy sources such as high-proportion wind power in the future, this embodiment provides an energy distribution method that can reduce line loss, realizes the self-generation and self-use of wind power, prevents the backflow of wind power, and ensures the safe and reliable operation of the system.

[0080] This embodiment is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A loss reduction control method for wind power and energy storage coordination to promote wind power consumption, characterized in that: The method comprises the following steps: Step A: Determine that the application scenario of the loss reduction control method is nighttime; the nighttime includes valley time periods t2 to t3; Step B: Collect 96 points of historical load and wind power output data for a day as historical data, predict the load and wind power output for the day based on the historical data, and calculate the initial average power charged to the energy storage system based on the power difference between the predicted wind power output and the load; The formula for calculating the initial average power charged to the energy storage system in step B is as follows: Among them, P l3 (t) is the load power forecast during the valley period, P w3 (t) is the predicted wind power generation power during the valley period, P gridp is the initial average power of the grid during the valley period, E ST is the capacity of the energy storage system, η is the charging efficiency; Step C: At the beginning of the valley period, control the grid to use the initial average power P gridp Charge the energy storage device; collect real-time data on wind power output and use the constant transmission power dual-model prediction calibration method to correct the average power transmitted from the grid to the energy storage device; The step of correcting the average power transmitted from the power grid to the energy storage device in step C includes: When the real-time wind power output gap predicts a wind power output amplitude within 20%, the wind power fluctuation in the next unit time is considered to be the same as the real-time wind power fluctuation in the current unit time. The following formula is used to correct the average power transmitted from the grid to the energy storage device: Among them, P grid3k is the corrected transmission power of the grid during the valley period, t 2k The time node F is k-1 units after t2 o '(t) is the derivative of the wind speed characteristic function, and Pw0j is the real-time wind power generation power within j unit time after time t2.

2. The loss reduction control method for wind power and energy storage coordination to promote wind power consumption according to claim 1 is characterized in that: The night time period also includes the peak time period t0-t1 and the normal time period t1-t2; In step A, the energy storage device discharges during peak hours, stops discharging during normal hours, and charges the energy storage device to full capacity in conjunction with wind power and the power grid during off-peak hours.

3. The loss reduction control method for wind power and energy storage coordination to promote wind power consumption according to claim 1 is characterized in that: The step of correcting the average power transmitted from the power grid to the energy storage device in step C further includes: When the real-time wind power output gap predicts a wind power output amplitude of more than 20%, the wind power fluctuation per unit time is distributed to the remaining time period, and the following formula is used to correct the average power transmitted from the grid to the energy storage device: Among them, P windp Predicting power generation for wind power.

4. A wind power and energy storage coordinated loss reduction control device for promoting wind power consumption, characterized in that: include: A determination module, used to determine that the use scenario of the loss reduction control method is nighttime; Night time is divided into peak time t0~t1, normal time t1~t2, and valley time t2~t3; The collection module is used to collect 96 points of historical load and wind power output data in a day as historical data, predict the load and wind power output for the day based on the historical data, and calculate the initial average power charged to the energy storage system based on the power difference between the predicted wind power output and the load; The formula for calculating the initial average power charged to the energy storage system in the collection module is as follows: Among them, P l3 (t) is the load power forecast during the valley period, P w3 (t) is the predicted wind power generation power during the valley period, P gridp is the initial average power of the grid during the valley period, E ST is the capacity of the energy storage system, η is the charging efficiency; The correction module is used to control the power grid to use the initial average power P at the beginning of the valley period. gridp Charge the energy storage device; collect real-time data on wind power output and use the constant transmission power dual-model prediction calibration method to correct the average power transmitted from the grid to the energy storage device; The steps to correct the average power delivered by the grid to the energy storage device include: When the real-time wind power output gap predicts a wind power output amplitude within 20%, the wind power fluctuation in the next unit time is considered to be the same as the real-time wind power fluctuation in the current unit time. The following formula is used to correct the average power transmitted from the grid to the energy storage device: Among them, P grid3k is the corrected transmission power of the grid during the valley period, t 2k The time node F is k-1 units after t2 o '(t) is the derivative of the wind speed characteristic function, and Pw0j is the real-time wind power generation power within j unit time after time t2.

5. The wind power energy storage coordinated loss reduction control device for promoting wind power consumption according to claim 4 is characterized in that: The determination module discharges the energy storage device during peak hours, stops discharging the energy storage device during normal hours, and charges the energy storage device to full capacity in conjunction with wind power and the power grid during valley hours.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, each step of the loss reduction control method for wind power and energy storage coordination to promote wind power consumption as described in any one of claims 1 to 3 is implemented.

7. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, each step of the loss reduction control method for wind power and energy storage coordination to promote wind power consumption as described in any one of claims 1 to 3 is implemented.

Images