A novel method and system for resource participation in AGC

Abstract

The application discloses a novel resource participating in AGC method and system, and belongs to the technical field of power grids. The method comprises the following steps: classifying novel resources, and aggregating the classified novel resources into uncontrolled stations and controlled stations; according to a control mode of a provincial power grid, a control deviation of a region of the provincial power grid is calculated, and according to the control deviation, an adjustment demand of the region of the provincial power grid is determined; for the uncontrolled stations, output prediction is carried out, according to the adjustment demand and a prediction result of the output prediction, an adjustment amount issued by an AGC master station is calculated, adjustment instructions are issued based on the adjustment amount, and the controlled stations are adjusted. The application improves the control level of the power grid AGC, improves the power grid frequency index, and promotes the consumption level of new energy.

Description

Technical Field

[0001] This invention relates to the field of power grid technology, and more specifically, to a novel method and system for resource participation in AGC. Background Technology

[0002] With the implementation of the "dual-carbon" strategy, my country is accelerating the construction of a new power system. New energy sources such as wind power, photovoltaics, and energy storage are accounting for an increasing proportion in the power grid and have become an important resource that cannot be ignored in power grid frequency control.

[0003] Currently, the participation of new resources in grid frequency control through virtual inertia or primary frequency regulation is relatively mature and has achieved good regulation results. However, due to the randomness and volatility of new energy output and the rapid operation of power electronic equipment, the existing extensive methods of participating new resources in automatic generation control (AGC) can no longer meet the needs of grid operation. In recent years, the phenomenon of large fluctuations in grid frequency caused by the participation of new resources in AGC has occurred frequently. Summary of the Invention

[0004] To address the above problems, this invention proposes a novel method for resource participation in AGC, comprising:

[0005] The new resources are classified, and the classified new resources are aggregated into uncontrolled stations and controlled stations;

[0006] Based on the control mode of the provincial power grid, the control deviation of the provincial power grid area is calculated, and the regulation demand of the provincial power grid area is determined based on the control deviation.

[0007] For the uncontrolled power station, output prediction is performed. Based on the adjustment requirements and the prediction results of the output prediction, the adjustment amount to be issued by the AGC master station is calculated. Based on the adjustment amount, the adjustment command is issued to adjust the controlled power station.

[0008] Optionally, new resources can be categorized as follows:

[0009] The new resources are classified according to whether they participate in AGC regulation. The classification results are as follows:

[0010] Wind farms and photovoltaic power plants that do not participate in AGC regulation;

[0011] Wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants that participate in AGC regulation.

[0012] Optional controlled sites include: low-controlled sites, medium-controlled sites, and high-controlled sites.

[0013] Optionally, the new types of resources can be aggregated into uncontrolled and controlled sites, including:

[0014] Wind farms and photovoltaic power plants that do not participate in AGC regulation will be aggregated into uncontrolled power plants;

[0015] For wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation, an object model is established. Based on the object model, the degree of control of the wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation is determined. Based on the degree of control, the wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation are aggregated into low-controlled sites, medium-controlled sites, and high-controlled sites.

[0016] Optionally, based on the control mode of the provincial power grid, the control deviation of the provincial power grid area is calculated using the following formula:

[0017] ACE = -10 * B * Δf * K f +ΔPtie*K l

[0018] Where ACE is the control deviation, B is the frequency deviation coefficient, Δf is the system frequency deviation, ΔPtie is the tie-line deviation, and K... f K represents the frequency component coefficients. l For tie line component coefficients.

[0019] Optional standards for regulating demand include: Standard A and CPS standards.

[0020] Optionally, the regulation demand of the provincial power grid area is determined based on the control deviation, using the following calculation formula:

[0021] The calculation formula for Standard A:

[0022]

[0023] CPS standard calculation formula:

[0024]

[0025] Among them, P R To regulate demand, P P For the proportional component, P I For the integral component, P CPS For CPS components, E ACE For ACE filter values, I ACELet K be the integral component of ACE, T1 and T2 be the start and end times of the integral calculation, respectively. P K is the proportionality coefficient. I is the integral coefficient.

[0026] Optional, the prediction results include: the incremental change in the output of new energy power plants, calculated using the following formula:

[0027]

[0028] Among them, P NE_PRE For the incremental change in power output of new energy power plants, P PRE P is the predicted output value of the new resource station at the next moment. M_S To contribute to the current development of new energy power plants, T SAM T is the AGC master station command issuance cycle. TOL The new energy update interval is N, where N is the number of times the main station has issued commands since the last update.

[0029] Optionally, the adjustment amount is the difference between the adjustment demand and the incremental change in the output of new energy power plants.

[0030] Optionally, adjustments are made to the controlled station, including:

[0031] For low-controlled stations, step size and minimum adjustment time limits are imposed on adjustment commands. The step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value and the minimum adjustment time should not be less than 3 master station command issuance cycles.

[0032] For the centrally controlled field station, step size and minimum adjustment time limits are imposed on the adjustment commands, and restrictions are added on the dynamic adjustment process. The adjustment quantity execution process is executed in a first-order inertial manner. Specifically, the step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value, the minimum adjustment time should not be less than 3 master station command issuance cycles, and the inertial time constant should not be less than 1 master station command issuance cycle.

[0033] For highly controlled stations, step size limits, minimum adjustment time limits, and dynamic adjustment process limits are imposed on adjustment commands, and reverse delay verification is added. Specifically, the step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value, the minimum adjustment time should not be less than 3 master station command issuance cycles, and the inertial time constant should not be less than 1 master station command issuance cycle.

[0034] Furthermore, this invention also proposes a novel system for resource participation in AGC, comprising:

[0035] The classification unit is used to classify new resources and aggregate the classified new resources into uncontrolled and controlled sites.

[0036] The calculation unit is used to calculate the control deviation of the provincial power grid area according to the control mode of the provincial power grid, and determine the regulation demand of the provincial power grid area based on the control deviation.

[0037] The adjustment unit is used to predict the output of the uncontrolled power station, calculate the adjustment amount to be issued by the AGC master station based on the adjustment requirement and the prediction result of the output prediction, and issue an adjustment command based on the adjustment amount to adjust the controlled power station.

[0038] Optionally, new resources can be categorized as follows:

[0039] The new resources are classified according to whether they participate in AGC regulation. The classification results are as follows:

[0040] Wind farms and photovoltaic power plants that do not participate in AGC regulation;

[0041] Wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants that participate in AGC regulation.

[0042] Optional controlled sites include: low-controlled sites, medium-controlled sites, and high-controlled sites.

[0043] Optionally, the new types of resources can be aggregated into uncontrolled and controlled sites, including:

[0044] Wind farms and photovoltaic power plants that do not participate in AGC regulation will be aggregated into uncontrolled power plants;

[0045] For wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation, an object model is established. Based on the object model, the degree of control of the wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation is determined. Based on the degree of control, the wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation are aggregated into low-controlled sites, medium-controlled sites, and high-controlled sites.

[0046] Optionally, based on the control mode of the provincial power grid, the control deviation of the provincial power grid area is calculated using the following formula:

[0047] ACE = -10 * B * Δf * K f +ΔPtie*K l

[0048] Where ACE is the control deviation, B is the frequency deviation coefficient, Δf is the system frequency deviation, ΔPtie is the tie-line deviation, and K... f K represents the frequency component coefficients. l For tie line component coefficients.

[0049] Optional standards for regulating demand include: Standard A and CPS standards.

[0050] Optionally, the regulation demand of the provincial power grid area is determined based on the control deviation, using the following calculation formula:

[0051] The calculation formula for Standard A:

[0052]

[0053] CPS standard calculation formula:

[0054]

[0055] Among them, P R To regulate demand, P P For the proportional component, P I For the integral component, P CPS For CPS components, E ACE For ACE filter values, I ACE Let K be the integral component of ACE, T1 and T2 be the start and end times of the integral calculation, respectively. P K is the proportionality coefficient. I is the integral coefficient.

[0056] Optional, the prediction results include: the incremental change in the output of new energy power plants, calculated using the following formula:

[0057]

[0058] Among them, P NE_PRE For the incremental change in power output of new energy power plants, P PRE P is the predicted output value of the new resource station at the next moment. M_S To contribute to the current development of new energy power plants, T SAM T is the AGC master station command issuance cycle. TOL The new energy update interval is N, where N is the number of times the main station has issued commands since the last update.

[0059] Optionally, the adjustment amount is the difference between the adjustment demand and the incremental change in the output of new energy power plants.

[0060] Optionally, adjustments are made to the controlled station, including:

[0061] For low-controlled stations, step size and minimum adjustment time limits are imposed on adjustment commands. The step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value and the minimum adjustment time should not be less than 3 master station command issuance cycles.

[0062] For the centrally controlled field station, step size and minimum adjustment time limits are imposed on the adjustment commands, and restrictions are added on the dynamic adjustment process. The adjustment quantity execution process is executed in a first-order inertial manner. Specifically, the step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value, the minimum adjustment time should not be less than 3 master station command issuance cycles, and the inertial time constant should not be less than 1 master station command issuance cycle.

[0063] For highly controlled stations, step size limits, minimum adjustment time limits, and dynamic adjustment process limits are imposed on adjustment commands, and reverse delay verification is added. Specifically, the step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value, the minimum adjustment time should not be less than 3 master station command issuance cycles, and the inertial time constant should not be less than 1 master station command issuance cycle.

[0064] In another aspect, the present invention also provides a computing device, comprising: one or more processors;

[0065] A processor is used to execute one or more programs;

[0066] When the one or more programs are executed by the one or more processors, the method described above is implemented.

[0067] In another aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the method described above.

[0068] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0069] This invention proposes a novel method for resource participation in AGC (Automatic Generation Control), comprising: classifying novel resources; aggregating the classified novel resources into uncontrolled and controlled power stations; calculating the control deviation of the provincial power grid region based on the control mode of the provincial power grid; determining the regulation demand of the provincial power grid region based on the control deviation; predicting the output of the uncontrolled power stations; calculating the regulation amount to be issued by the AGC master station based on the regulation demand and the prediction result of the output forecast; and issuing regulation commands based on the regulation amount to regulate the controlled power stations. This invention enables accurate calculation of the master station's regulation amount, avoiding overshoot or undershoot in the system; it allows for rapid, smooth, and accurate regulation of novel resource substations, preventing short-term large fluctuations in the output of novel resource substations. Ultimately, this invention improves the control level of power grid AGC, enhances power grid frequency indicators, and promotes the absorption of new energy sources. Attached Figure Description

[0070] Figure 1 This is a flowchart of the method of the present invention;

[0071] Figure 2 This is a flowchart of an embodiment of the present invention;

[0072] Figure 3 This is a power grid structure diagram according to an embodiment of the present invention;

[0073] Figure 4(a) is an overview of the power grid frequency comparison of the embodiments of the present invention;

[0074] Figure 4(b) is a partially enlarged view of the power grid frequency comparison according to an embodiment of the present invention;

[0075] Figure 5 This is a comparison diagram of the novel resource output of an embodiment of the present invention;

[0076] Figure 6 This is a structural diagram of the system of the present invention. Detailed Implementation

[0077] Exemplary embodiments of the invention will now be described with reference to the accompanying drawings. However, the invention may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to fully and completely disclose the invention and to fully convey its scope to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the drawings is not intended to limit the invention. In the drawings, the same units / elements are referred to by the same reference numerals.

[0078] Unless otherwise stated, the terms used herein (including technical terms) have their common meaning as understood by one of ordinary skill in the art. Furthermore, it is understood that terms defined in commonly used dictionaries should be understood to have a meaning consistent with the context of their relevant field, and not to be interpreted as having an idealized or overly formal meaning.

[0079] Example 1:

[0080] This invention proposes a novel method for resource participation in AGC, such as... Figure 1 As shown, it includes:

[0081] Step 1: Classify the new resources and aggregate them into uncontrolled and controlled sites;

[0082] Step 2: Calculate the control deviation of the provincial power grid region according to the control mode of the provincial power grid, and determine the regulation demand of the provincial power grid region based on the control deviation;

[0083] Step 3: For the uncontrolled station, perform output prediction, calculate the adjustment amount to be issued by the AGC master station based on the adjustment demand and the prediction result of the output prediction, and issue adjustment instructions based on the adjustment amount to adjust the controlled station.

[0084] Among them, new resources are classified as follows:

[0085] The new resources are classified according to whether they participate in AGC regulation. The classification results are as follows:

[0086] Wind farms and photovoltaic power plants that do not participate in AGC regulation;

[0087] Wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants that participate in AGC regulation.

[0088] Controlled stations include: low-controlled stations, medium-controlled stations, and high-controlled stations.

[0089] Among these, the newly categorized resources are aggregated into uncontrolled and controlled sites, including:

[0090] Wind farms and photovoltaic power plants that do not participate in AGC regulation will be aggregated into uncontrolled power plants;

[0091] For wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation, an object model is established. Based on the object model, the degree of control of the wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation is determined. Based on the degree of control, the wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation are aggregated into low-controlled sites, medium-controlled sites, and high-controlled sites.

[0092] The control deviation of the provincial power grid area is calculated based on the control mode of the provincial power grid, using the following formula:

[0093] ACE = -10 * B * Δf * K f +ΔPtie*K l

[0094] Where ACE is the control deviation, B is the frequency deviation coefficient, Δf is the system frequency deviation, ΔPtie is the tie-line deviation, and K... f K represents the frequency component coefficients. l For tie line component coefficients.

[0095] The standards for regulating demand include: Standard A and CPS (Control Performance Standard).

[0096] The regulation demand of the provincial power grid area is determined based on the control deviation, and the calculation formula is as follows:

[0097] The calculation formula for Standard A:

[0098]

[0099] CPS standard calculation formula:

[0100]

[0101] Among them, P R To regulate demand, P P For the proportional component, P I For the integral component, P CPS For CPS components, E ACE For ACE filter values, I ACE Let K be the integral component of ACE, T1 and T2 be the start and end times of the integral calculation, respectively. P K is the proportionality coefficient. I is the integral coefficient.

[0102] The prediction results include: the incremental change in the output of new energy power plants, calculated using the following formula:

[0103]

[0104] Among them, P NE_PRE For the incremental change in power output of new energy power plants, P PRE P is the predicted output value of the new resource station at the next moment. M_S To contribute to the current development of new energy power plants, T SAM T is the AGC master station command issuance cycle. TOL The new energy update interval is N, where N is the number of times the main station has issued commands since the last update.

[0105] Among them, the adjustment amount is the difference between the adjustment demand and the incremental change in the output of new energy power plants.

[0106] The adjustment of the controlled station includes:

[0107] For low-controlled stations, step size and minimum adjustment time limits are imposed on adjustment commands. The step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value and the minimum adjustment time should not be less than 3 master station command issuance cycles.

[0108] For the centrally controlled field station, step size and minimum adjustment time limits are imposed on the adjustment commands, and restrictions are added on the dynamic adjustment process. The adjustment quantity execution process is executed in a first-order inertial manner. Specifically, the step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value, the minimum adjustment time should not be less than 3 master station command issuance cycles, and the inertial time constant should not be less than 1 master station command issuance cycle.

[0109] For highly controlled stations, step size limits, minimum adjustment time limits, and dynamic adjustment process limits are imposed on adjustment commands, and reverse delay verification is added. Specifically, the step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value, the minimum adjustment time should not be less than 3 master station command issuance cycles, and the inertial time constant should not be less than 1 master station command issuance cycle.

[0110] The present invention will be further described below with reference to specific embodiments:

[0111] Implementation steps are as follows Figure 2 As shown, it mainly includes:

[0112] New resources are categorized based on whether they participate in AGC regulation. Wind farms and photovoltaic power plants that do not participate in AGC regulation are aggregated into uncontrolled sites, while energy storage power plants are not included. For new resources that participate in AGC regulation, object models are established for wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants. These are then aggregated into low-controlled sites, medium-controlled sites, and high-controlled sites according to their degree of control. Low-controlled sites include both wind farms and photovoltaic power plants, medium-controlled sites include both wind farms and photovoltaic power plants with energy storage, and high-controlled sites include both wind farms and photovoltaic power plants with energy storage.

[0113] The calculation method for the regional control error (ACE) of a provincial power grid is related to the control mode adopted by the regional AGC. The TBC mode is recommended.

[0114] ACE = -10 * B * Δf * K f +ΔPtie*K l

[0115] In the formula, B is the frequency deviation coefficient; Δf is the system frequency deviation, specifically the difference between the reference frequency value and the actual system value; ΔPtie is the tie line deviation, specifically the difference between the tie line reference value and the actual tie line value; K f For frequency component coefficients, the area AGC uses FFC (Frequency Constant Control) and TBC (Frequency Tie-in Deviation Control) control modes as 1, and FTC (Frequency Tie-in Control) control mode as 0; K l For the tie-line component coefficient, the area AGC uses FTC and TBC control modes with a value of 1, and FFC control mode with a value of 0.

[0116] Based on the regional control deviation, the regional regulation demand is obtained and divided into two categories: A standard and CPS standard.

[0117] The calculation method for regional adjustment demand in Standard A is as follows:

[0118]

[0119] In the formula: E ACE This is the ACE filter value; I ACE For the ACE integral component, T1 and T2 are the start and end times of the integral calculation, respectively, which generally correspond to the start and end times of the assessment cycle.

[0120] The calculation method for CPS standard regional adjustment demand is as follows:

[0121]

[0122] In the formula, P R To meet regional regulation needs, P P For the proportional component, PI For the integral component, P CPS For CPS components, K P K I These are the proportional gain coefficient and the integral gain coefficient, respectively, K CPS This is the proportional gain coefficient for the CPS component.

[0123] For uncontrolled power stations, power output forecasts should be conducted at a rate of no less than 288 points per day. The power output forecasts for the following 5 minutes (calculated as total daily minutes / daily forecast points) should be summarized and reported to the main station. The summarization method is as follows:

[0124]

[0125] In the formula, P NE_PRE For the incremental change in power output of new energy power plants, P PRE P is the predicted output value of the new resource station at the next moment. M_S To contribute to the current development of new energy power plants, T SAM T is the AGC master station command issuance cycle. TOL The new energy update interval is N, where N is the number of times the main station has issued commands since the last update.

[0126] Based on the regional regulation demand and the power output prediction results of uncontrolled power stations, the regulation volume issued by the AGC master station is calculated.

[0127] P R_DI =P R -P NE_PRE

[0128] In the formula, P R_DI This is the final adjustment amount issued by AGC.

[0129] For less controlled stations, step size and minimum adjustment time limits should be imposed on the AGC adjustment commands issued to the station. The specific values ​​can be set based on simulation results. If simulation is not available, the adjustment step size should be set to a smaller value, and the minimum adjustment time should not be less than 3 master station command issuance cycles.

[0130] For the centrally controlled field station, the AGC adjustment commands issued to the field station are subject to step size and minimum adjustment time limits, and additional restrictions are placed on the dynamic adjustment process. The adjustment process is executed in a first-order inertial manner, where the step size, minimum adjustment time, and inertial time constant can be set based on simulation results. If simulation conditions are not available, the adjustment step size should be set to a small value, the minimum adjustment time should be no less than 3 master station command issuance cycles, and the inertial time constant should be no less than 1 master station command issuance cycle.

[0131] For highly controlled field stations, AGC (Automatic Control) adjustment commands issued to the field station are subject to step size limits, minimum adjustment time limits, and dynamic adjustment process limits. A reverse delay check is also added; that is, if the previous command increased output and the current command decreased output, or vice versa, the current command is not executed immediately, but only after the next command's output direction remains unchanged. The step size, minimum adjustment time, and inertial time constant can be set based on simulation results. If simulation is not available, the adjustment step size should be set to a small value, the minimum adjustment time should be no less than three master station command issuance cycles, and the inertial time constant should be no less than one master station command issuance cycle.

[0132] This invention has been verified in PSD-FDS software and successfully applied to a regional power grid AGC system in China, achieving good control results.

[0133] The actual power grid is as follows Figure 3 As shown, equivalent values ​​are calculated, such as 600MW of thermal power units, 1200MW of hydropower units, 200MW of energy storage power stations, 400MW each of wind turbines and photovoltaic power without supporting energy storage, and 400MW each of wind turbines and photovoltaic power with supporting energy storage, with new energy accounting for 41%. The proposed control strategy (Strategy 1) and the existing control strategy (Strategy 2) are used respectively to compare the changes in grid frequency and the output of new resources.

[0134] As can be seen from the comparison of grid frequency and new resource output, the present invention can achieve better frequency control performance, as shown in Figures 4(a), 4(b) and Figure 5 As shown, the present invention reduces fluctuations in the output of new resources and minimizes ineffective adjustments.

[0135] Example 2:

[0136] This invention also proposes a novel system 200 for resource participation in AGC, such as... Figure 6 As shown, it includes:

[0137] Classification unit 201 is used to classify new resources and aggregate the classified new resources into uncontrolled sites and controlled sites;

[0138] The calculation unit 202 is used to calculate the control deviation of the provincial power grid area according to the control mode of the provincial power grid, and determine the regulation demand of the provincial power grid area according to the control deviation.

[0139] The adjustment unit 203 is used to predict the output of the uncontrolled station, calculate the adjustment amount to be issued by the AGC master station based on the adjustment requirement and the prediction result of the output prediction, and issue an adjustment command based on the adjustment amount to adjust the controlled station.

[0140] Among them, new resources are classified as follows:

[0141] The new resources are classified according to whether they participate in AGC regulation. The classification results are as follows:

[0142] Wind farms and photovoltaic power plants that do not participate in AGC regulation;

[0143] Wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants that participate in AGC regulation.

[0144] Controlled stations include: low-controlled stations, medium-controlled stations, and high-controlled stations.

[0145] Among these, the newly categorized resources are aggregated into uncontrolled and controlled sites, including:

[0146] Wind farms and photovoltaic power plants that do not participate in AGC regulation will be aggregated into uncontrolled power plants;

[0147] For wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation, an object model is established. Based on the object model, the degree of control of the wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation is determined. Based on the degree of control, the wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation are aggregated into low-controlled sites, medium-controlled sites, and high-controlled sites.

[0148] The control deviation of the provincial power grid area is calculated based on the control mode of the provincial power grid, using the following formula:

[0149] ACE = -10 * B * Δf * K f +ΔPtie*K l

[0150] Where ACE is the control deviation, B is the frequency deviation coefficient, Δf is the system frequency deviation, ΔPtie is the tie-line deviation, and K... f K represents the frequency component coefficients. l For tie line component coefficients.

[0151] The standards for regulating demand include: Standard A and CPS (Control Performance Standard).

[0152] The regulation demand of the provincial power grid area is determined based on the control deviation, and the calculation formula is as follows:

[0153] The calculation formula for Standard A:

[0154]

[0155] CPS standard calculation formula:

[0156]

[0157] Among them, P R To regulate demand, P P For the proportional component, P I For the integral component, P CPS For CPS components, E ACE For ACE filter values, I ACE Let K be the integral component of ACE, T1 and T2 be the start and end times of the integral calculation, respectively. P K is the proportionality coefficient. I is the integral coefficient.

[0158] The prediction results include: the incremental change in the output of new energy power plants, calculated using the following formula:

[0159]

[0160] Among them, P NE_PRE For the incremental change in power output of new energy power plants, P PRE P is the predicted output value of the new resource station at the next moment. M_S To contribute to the current development of new energy power plants, T SAM T is the AGC master station command issuance cycle. TOL The new energy update interval is N, where N is the number of times the main station has issued commands since the last update.

[0161] Among them, the adjustment amount is the difference between the adjustment demand and the incremental change in the output of new energy power plants.

[0162] The adjustment of the controlled station includes:

[0163] For low-controlled stations, step size and minimum adjustment time limits are imposed on adjustment commands. The step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value and the minimum adjustment time should not be less than 3 master station command issuance cycles.

[0164] For the centrally controlled field station, step size and minimum adjustment time limits are imposed on the adjustment commands, and restrictions are added on the dynamic adjustment process. The adjustment quantity execution process is executed in a first-order inertial manner. Specifically, the step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value, the minimum adjustment time should not be less than 3 master station command issuance cycles, and the inertial time constant should not be less than 1 master station command issuance cycle.

[0165] For highly controlled stations, step size limits, minimum adjustment time limits, and dynamic adjustment process limits are imposed on adjustment commands, and reverse delay verification is added. Specifically, the step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value, the minimum adjustment time should not be less than 3 master station command issuance cycles, and the inertial time constant should not be less than 1 master station command issuance cycle.

[0166] This invention enables precise calculation of the master station's adjustment parameters, preventing overshoot or undershoot in the system; it also allows for rapid, smooth, and accurate adjustment of new resource substations, avoiding large short-term fluctuations in their output. Ultimately, this invention improves the control level of the power grid's AGC (Automatic Generation Control), enhances grid frequency indicators, and promotes the integration of new energy sources.

[0167] Example 3:

[0168] Based on the same inventive concept, this invention also provides a computer device, which includes a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement corresponding method flows or corresponding functions, thereby implementing the steps of the methods in the above embodiments.

[0169] Example 4:

[0170] Based on the same inventive concept, this invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the method in the above embodiments.

[0171] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0172] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0173] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0174] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0175] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the invention.

[0176] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A novel method for resource participation in AGC, characterized in that, include: The new resources are classified, and the classified new resources are aggregated into uncontrolled stations and controlled stations; The classification of new resources is as follows: The new resources are classified according to whether they participate in AGC regulation. The classification results are as follows: Wind farms and photovoltaic power plants that do not participate in AGC regulation; Wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants that participate in AGC regulation; Based on the control mode of the provincial power grid, the control deviation of the provincial power grid area is calculated, and the regulation demand of the provincial power grid area is determined based on the control deviation. For the uncontrolled power station, output prediction is performed. Based on the adjustment requirements and the prediction results of the output prediction, the adjustment amount to be issued by the AGC master station is calculated. Based on the adjustment amount, the adjustment command is issued to adjust the controlled power station. The controlled sites include: low-controlled sites, medium-controlled sites, and high-controlled sites; The aggregation of the new types of resources into uncontrolled and controlled sites includes: Wind farms and photovoltaic power plants that do not participate in AGC regulation will be aggregated into uncontrolled power plants; For wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation, an object model is established. Based on the object model, the degree of control of the wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation is determined. Based on the degree of control, the wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation are aggregated into low-controlled sites, medium-controlled sites, and high-controlled sites. The adjustment of the controlled station includes: For low-controlled stations, step size and minimum adjustment time limits are imposed on adjustment commands. The step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value and the minimum adjustment time should not be less than 3 master station command issuance cycles. For the centrally controlled field station, step size and minimum adjustment time limits are imposed on the adjustment commands, and restrictions are added on the dynamic adjustment process. The adjustment quantity execution process is executed in a first-order inertial manner. Specifically, the step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value, the minimum adjustment time should not be less than 3 master station command issuance cycles, and the inertial time constant should not be less than 1 master station command issuance cycle. For highly controlled stations, step size limits, minimum adjustment time limits, and dynamic adjustment process limits are imposed on adjustment commands, and reverse delay verification is added. Specifically, the step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value, the minimum adjustment time should not be less than 3 master station command issuance cycles, and the inertial time constant should not be less than 1 master station command issuance cycle.

2. The method according to claim 1, characterized in that, The control deviation of the provincial power grid area is calculated based on the control mode of the provincial power grid, and the calculation formula is as follows: ACE=-10*B*Δf*K f +ΔPtie*K l Where ACE is the control deviation, B is the frequency deviation coefficient, Δf is the system frequency deviation, ΔPtie is the tie-line deviation, and K... f K represents the frequency component coefficients. l For tie line component coefficients.

3. The method according to claim 1, characterized in that, The standards for regulating demand include: Standard A and Standard CPS.

4. The method according to claim 1, characterized in that, The regulation demand of the provincial power grid area is determined based on the control deviation, and the calculation formula is as follows: The calculation formula for Standard A: CPS standard calculation formula: Among them, P R To regulate demand, P P For the proportional component, P I For the integral component, P CPS For CPS components, E ACE For ACE filter values, I ACE Let K be the integral component of ACE, T1 and T2 be the start and end times of the integral calculation, respectively. P K is the proportionality coefficient. I is the integral coefficient.

5. The method according to claim 1, characterized in that, The prediction results include: the incremental change in the output of new resource stations, calculated using the following formula: Among them, P NE_PRE For the incremental change in the output of new resource stations, P PRE P represents the predicted output of the new resource power station at the next time step, where the superscript i represents the i-th new resource power station, n is the number of new resource power stations participating in the regulation, and P is the predicted output of the new resource power station at the next time step. M_S To contribute to the current development of new resource sites, T SAM T is the AGC master station command issuance cycle. TOL The update interval for new resource sites, where N is the number of times the main site has issued commands since the last update.

6. The method according to claim 1, characterized in that, The adjustment amount is the difference between the adjustment demand and the incremental change in the output of the new resource station.

7. A novel system for resource participation in AGC, characterized in that, include: The classification unit is used to classify new resources and aggregate the classified new resources into uncontrolled and controlled sites. The classification of new resources is as follows: The new resources are classified according to whether they participate in AGC regulation. The classification results are as follows: Wind farms and photovoltaic power plants that do not participate in AGC regulation; Wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants that participate in AGC regulation; The calculation unit is used to calculate the control deviation of the provincial power grid area according to the control mode of the provincial power grid, and determine the regulation demand of the provincial power grid area based on the control deviation. The adjustment unit is used to predict the output of the uncontrolled power station, calculate the adjustment amount to be issued by the AGC master station based on the adjustment requirement and the prediction result of the output prediction, and issue an adjustment command based on the adjustment amount to adjust the controlled power station. The controlled sites include: low-controlled sites, medium-controlled sites, and high-controlled sites; The aggregation of the new types of resources into uncontrolled and controlled sites includes: Wind farms and photovoltaic power plants that do not participate in AGC regulation will be aggregated into uncontrolled power plants; For wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation, an object model is established. Based on the object model, the degree of control of the wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation is determined. Based on the degree of control, the wind farms without energy storage, photovoltaic power plants without energy storage, wind farms with energy storage, photovoltaic power plants with energy storage, and energy storage power plants participating in AGC regulation are aggregated into low-controlled sites, medium-controlled sites, and high-controlled sites. The adjustment of the controlled station includes: For low-controlled stations, step size and minimum adjustment time limits are imposed on adjustment commands. The step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value and the minimum adjustment time should not be less than 3 master station command issuance cycles. For the centrally controlled field station, step size and minimum adjustment time limits are imposed on the adjustment commands, and restrictions are added on the dynamic adjustment process. The adjustment quantity execution process is executed in a first-order inertial manner. Specifically, the step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value, the minimum adjustment time should not be less than 3 master station command issuance cycles, and the inertial time constant should not be less than 1 master station command issuance cycle. For highly controlled stations, step size limits, minimum adjustment time limits, and dynamic adjustment process limits are imposed on adjustment commands, and reverse delay verification is added. Specifically, the step size and minimum adjustment time are set according to the simulation results. If there are no simulation results, the adjustment step size should be set to a smaller value, the minimum adjustment time should not be less than 3 master station command issuance cycles, and the inertial time constant should not be less than 1 master station command issuance cycle.

8. The system according to claim 7, characterized in that, The control deviation of the provincial power grid area is calculated based on the control mode of the provincial power grid, and the calculation formula is as follows: ACE=-10*B*Δf*K f +ΔPtie*K l Where ACE is the control deviation, B is the frequency deviation coefficient, Δf is the system frequency deviation, ΔPtie is the tie-line deviation, and K... f K represents the frequency component coefficients. l For tie line component coefficients.

9. The system according to claim 7, characterized in that, The standards for regulating demand include: Standard A and Standard CPS.

10. The system according to claim 7, characterized in that, The regulation demand of the provincial power grid area is determined based on the control deviation, and the calculation formula is as follows: The calculation formula for Standard A: CPS standard calculation formula: Among them, P R To regulate demand, P P For the proportional component, P I For the integral component, P CPS For CPS components, E ACE For ACE filter values, I ACE Let K be the integral component of ACE, T1 and T2 be the start and end times of the integral calculation, respectively. P K is the proportionality coefficient. I is the integral coefficient.

11. The system according to claim 7, characterized in that, The prediction results include: the incremental change in the output of new resource stations, calculated using the following formula: Among them, P NE_PRE For the incremental change in the output of new resource stations, P PRE P represents the predicted output of the new resource power station at the next time step, where the superscript i represents the i-th new resource power station, n is the number of new resource power stations participating in the regulation, and P is the predicted output of the new resource power station at the next time step. M_S To contribute to the current development of new resource sites, T SAM T is the AGC master station command issuance cycle. TOL The update interval for new resource sites, where N is the number of times the main site has issued commands since the last update.

12. The system according to claim 7, characterized in that, The adjustment amount is the difference between the adjustment demand and the incremental change in the output of the new resource station.

13. A computer device, characterized in that, include: One or more processors; A processor is used to execute one or more programs; When the one or more programs are executed by the one or more processors, the method described in any one of claims 1-6 is implemented.

14. A computer-readable storage medium, characterized in that, It contains a computer program, which, when executed, implements the method as described in any one of claims 1-6.

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