Power grid frequency safety control method considering load fluctuation

Abstract

The invention provides a power grid frequency safety control method considering load fluctuation, and relates to the field of automatic control of a power system. The method comprises the following steps: selecting a target power grid system, and obtaining a steady-state deviation range of the target power grid system after disturbance through time domain simulation; determining a plurality of control types according to the steady-state deviation range, and determining corresponding control schemes according to different control types; calculating a quick to-be-controlled quantity interval and a steady-state to-be-controlled quantity interval; dividing the power grid system into a plurality of candidate control nodes, and calculating a comprehensive control index of each candidate control node; calculating power fluctuation intervals of the candidate control nodes according to the comprehensive control indexes, and sequentially accumulating the power fluctuation intervals of the control nodes according to a sequence until a steady-state to-be-controlled quantity interval is met; and checking whether the currently selected control scheme meets the steady-state to-be-controlled quantity interval or not. The method can solve the frequency safety problem after the power grid is disturbed, improves the frequency stability of the system, and improves the operation reliability and safety of the power system.

Description

Technical Field

[0001] The present invention relates to the field of automatic control of electric power systems, and in particular to a method for safely controlling power grid frequency taking load fluctuation into consideration. Background Art

[0002] With the massive access to renewable energy generation and the rapid development of power electronic equipment, frequency safety issues are becoming increasingly prominent. They are mainly manifested in the following aspects: ① renewable energy generation has the characteristics of randomness, volatility and unpredictability, and frequency stability is an important prerequisite for the system to absorb these renewable energy generation; ② large units have more stringent requirements for system frequency deviation, and excessively high or low frequencies may cause the protection device to operate, making it more likely to cause chain accidents of frequency deviation; ③ the development of industry and the refinement of manufacturing processes have made some high-tech loads more stringent in terms of system frequency requirements, and the permissible frequency deviation is smaller.

[0003] The Chinese invention patent with publication number CN114709835A discloses a frequency control method based on multi-level centralized regulation, which is based on the stable centralized load shedding strategy, the wide-area low-frequency centralized pump shedding strategy, the low-frequency decentralized pump shedding strategy and the low-frequency load reduction strategy, forming a multi-level frequency centralized control coordinated stable control method, realizing the coordination of measures at all levels, and thus achieving the optimization of the regional power grid frequency stability control benefits. However, this method does not take into account the real-time fluctuation of load during load control.

[0004] The Chinese invention patent with the publication number CN118100215A discloses a method, system, equipment and medium for emergency control of power grid frequency, which collects the controllable emergency power adjustment amount of the flexible resources in the specified power grid from the adjustable platform, collects the safety control cuttable load amount of the safety control device in the specified power grid from the load switching module, and collects the DC emergency power boostable capacity of the ultra-high voltage DC transmission line in the specified power grid from the DC stabilization module, and then performs fault detection on the specified power grid. When a large power loss disturbance event occurs in the specified power grid, the emergency control data of the specified power grid is obtained based on the controllable emergency power adjustment amount, the safety control cuttable load amount and the DC emergency power boostable capacity, with the goal of minimizing the control cost of emergency control, and based on the emergency control data, emergency control operations are performed on the specified power grid. This method only considers the economy of the load side and does not consider the load fluctuation caused by the difference between the load measurement time and the control time, nor does it consider the spatiotemporal characteristics of the frequency. Summary of the invention

[0005] Purpose of the invention: In order to enhance the frequency stability characteristics of the power grid, the frequency control object can be comprehensively selected in combination with load volatility, economy and frequency spatiotemporal characteristics, solve the priority problem of various control objects after the power grid is disturbed, improve the frequency stability of the system, improve the economy and safety of power system operation, and propose a power grid frequency safety control method considering load fluctuations.

[0006] In order to achieve the above-mentioned invention object, the present invention adopts the following technical solution: A method for safely controlling the frequency of a power grid considering load fluctuations, comprising the following steps:

[0007] Select a target power grid system, and obtain the steady-state deviation range of the target power grid system after being disturbed through time domain simulation;

[0008] Determine multiple control types according to the steady-state deviation range, and determine corresponding control schemes according to different control types;

[0009] According to different control types, calculate the fast controlled quantity interval and the steady-state controlled quantity interval;

[0010] Divide the target power grid system into several candidate control nodes, each of which controls a sub-area of ​​the power grid; calculate the comprehensive control index of each candidate control node;

[0011] Calculate the power fluctuation range of the candidate control nodes according to the comprehensive control index, and accumulate the power fluctuation range of each control node in sequence until the steady-state controlled quantity range is met;

[0012] Check whether the currently selected control scheme meets the steady-state controlled variable range:

[0013] If satisfied, the selected control node is cut off;

[0014] If it is not satisfied, reselect the control node until it does not exceed the range of the steady-state controlled variable.

[0015] In a further embodiment, the steady-state deviation range of the power grid system after being disturbed is obtained through time domain simulation, specifically including:

[0016] According to the lowest value f to which the target power grid system drops during the disturbance min and the minimum safety threshold of system frequency f Nmin The lowest value deviation of the system frequency without control is calculated as Δf = f Nmin -f min ;

[0017] The frequency safety range [f r1 ,f r2]; ideal value of steady-state frequency deviation without control f r =50-f s , the steady-state frequency deviation range without control is [Δf1, Δf2], Δf1 = f r1 -f s , Δf2=f r2 -f s ; System frequency minimum safety threshold f Nmin It should not be lower than the low-frequency load reduction setting.

[0018] In a further embodiment, multiple control types are determined according to the steady-state deviation range, specifically including:

[0019] System frequency minimum value f min Below the frequency safety threshold f Nmin , frequency steady-state value f s If the safety range is not met, it is defined as Type I, and a control scheme combining stage I control and stage II control is adopted;

[0020] System frequency minimum value f min Below the frequency safety threshold f Nmin , frequency steady-state value f s Satisfying the safety range, it is defined as type II and adopts stage I control;

[0021] System frequency minimum value f min Above the frequency safety threshold f Nmin , frequency steady-state value f s If the safety range is not met, it is defined as Type III and stage II control is adopted;

[0022] System frequency minimum value f min Above the frequency safety threshold f Nmin , frequency steady-state value f s Satisfying the safety margin, defined as Type 4, no control plan is required;

[0023] The stage I control is a control measure taken to prevent the frequency of the power system from dropping rapidly and falling below the safety threshold after being disturbed, and the time scale is hundreds of milliseconds; the stage II control is a control measure taken to increase the steady-state frequency of the power system, and the time scale is hundreds of milliseconds to minutes.

[0024] In a further embodiment, according to different control types, the fast controlled variable interval and the steady-state controlled variable interval are calculated, specifically including:

[0025] The load amount ΔP1 that needs to be controlled in the first stage control is obtained through time domain simulation trial and error;

[0026] The load range [ΔP2, ΔP3] required for the stage II control is calculated by the following formula:

[0027] ΔP2=(K L P Lo -K G P Go )Δf1

[0028] ΔP3=(K L P Lo -K G P Go )Δf2

[0029] Where P Go is the initial power of the generator set, P Lo is the initial load power, K L is the average unit regulation power of the system load, K G The average unit regulation power of the system generator sets;

[0030] For type 1, stage II control, the load interval is corrected to [ΔP2-ΔP1, ΔP3-ΔP1].

[0031] In a further embodiment, the target power grid system is divided into several candidate control nodes, specifically including:

[0032] The candidate control nodes are divided into fast response control points and slow response control points according to their response speed.

[0033] In a further embodiment, the comprehensive control index includes volatility Z ij , sensitivity r i , Economic Factor c i ;

[0034] The sampling period of the load is T. The historical daily load curve of the controllable node i is divided into j time periods at the time interval T. The load fluctuation in the jth time period is the absolute value of the difference between the initial value and the final value of the load in the time period |P j1 -P j2 |, the average load fluctuation of node i in time period j over the past n days is used to represent the fluctuation Z of node i in time period j ij :

[0035]

[0036] In the formula, Z ij represents the load fluctuation of node i in the jth time period;

[0037] Sensitivity

[0038] Where Δf is the frequency change, Δp i is the load change corresponding to the frequency change Δf;

[0039] The volatility Zij , sensitivity r i , Economic Factor c i Comprehensive weighting to obtain the comprehensive control index SPI ij :

[0040] SPI ij =α*Z ij +β*r i +γ*c i

[0041] Wherein, α, β, γ are weighting coefficients, α+β+γ=100%.

[0042] In a further embodiment, the power fluctuation range of the candidate control node is calculated according to the comprehensive control index, and the power fluctuation range of each control node is accumulated in sequence until the steady-state controlled quantity range is met, specifically including:

[0043] For type one:

[0044] In the fast response candidate control point space, the nodes are sorted from small to large according to the comprehensive control index, and the controllable power of the nodes is accumulated in sequence according to the sorting order based on the minimum overcontrol principle to meet the load ΔP1 of stage I control;

[0045] In the remaining candidate control point space, the comprehensive control index is sorted from small to large, and the node power fluctuation range is calculated. The node power fluctuation range is accumulated in sequence until the steady-state controlled quantity range [ΔP2-ΔP1, ΔP3-ΔP1] is met;

[0046] For type 2:

[0047] In the fast response candidate control point space, the nodes are sorted from small to large according to the comprehensive control index, and the controllable power of the nodes is accumulated in sequence according to the sorting order based on the minimum overcontrol principle to meet the load ΔP1 of stage I control;

[0048] For type three:

[0049] All nodes are sorted from small to large according to the comprehensive control index, and the node power fluctuation range is calculated. The node power fluctuation range is accumulated in sequence until the steady-state controlled quantity range [ΔP2, ΔP3] is met.

[0050] In a further embodiment, calculating the node power fluctuation range specifically includes:

[0051] For type 1, it is necessary to calculate the power fluctuation range of the remaining nodes after stage Ⅰ control;

[0052] For type three, the power fluctuation range of all nodes needs to be calculated;

[0053] The controllable power sampled by candidate control node i is P i , the fluctuation of node i in the control period is Z ij , then the fluctuation range of node i power is [P i -Z ij ,P i +Z ij ].

[0054] In a further embodiment, checking whether the currently selected control scheme satisfies the steady-state controlled variable interval specifically includes:

[0055] Type 1 and Type 3 II stage control needs to verify whether the selected control node meets the steady-state controlled quantity interval [ΔP2-ΔP1, ΔP3-ΔP1] and [ΔP2, ΔP3];

[0056] If the range of the controlled quantity is not exceeded, the selected control node is cut off;

[0057] If it exceeds the range of the quantity to be controlled, relax the volatility coefficient, recalculate the comprehensive index, and reselect the control node until it does not exceed the range of the quantity to be controlled.

[0058] Beneficial effect: The grid frequency safety control method considering load fluctuation proposed in the present invention can enhance the frequency stability characteristics of the grid, comprehensively select the frequency control object in combination with load volatility, economy and frequency time and space characteristics, solve the priority problem of various control objects after the grid is disturbed, improve the frequency stability of the system, and improve the economy and safety of power system operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a flow chart of a method for safely controlling power grid frequency taking load fluctuation into consideration according to an embodiment of the present invention. DETAILED DESCRIPTION

[0060] In the following description, a large number of specific details are provided to provide a more thorough understanding of the present invention. However, it is apparent to those skilled in the art that the present invention can be implemented without one or more of these details. In other examples, in order to avoid confusion with the present invention, some technical features known in the art are not described.

[0061] like Figure 1 As shown, the grid frequency safety control method considering load fluctuations includes the following steps:

[0062] Step 1) Calculate the minimum value of the system frequency and the steady-state deviation range after the disturbance through time domain simulation:

[0063] Through time domain simulation, we can get the dynamic curve of the frequency of the system after the disturbance, and the lowest value f dropped to in the dynamic process of the system after the disturbancemin and the minimum safety threshold of system frequency f Nmin The lowest value deviation of the system frequency without control is calculated as Δf = f Nmin -f min ; Ideal value of steady-state frequency deviation without control f r =50-f s , the steady-state frequency deviation range without control is [Δf1, Δf2], Δf1 = f r1 -f s , Δf2=f r2 -f s ; System frequency minimum safety threshold f Nmin Should not be lower than the low frequency load reduction setting, the frequency safety range [f r1 ,f r2 ] should be set according to the relevant safety standards after the power system is disturbed.

[0064] Step 2) Determine the control type based on the frequency deviation:

[0065] Four types are defined according to the system frequency deviation after disturbance, including:

[0066] System frequency minimum value f min Below the frequency safety threshold f Nmin , frequency steady-state value f s The safety range is not met, which is defined as Type I, and a control scheme combining stage I control and stage II control is adopted.

[0067] System frequency minimum value f min Below the frequency safety threshold f Nmin , frequency steady-state value f s It meets the safety range and is defined as Type II, using Stage I control.

[0068] System frequency minimum value f min Above the frequency safety threshold f Nmin , frequency steady-state value f s The safety range is not met, which is defined as Type III and stage II control is adopted.

[0069] System frequency minimum value f min Above the frequency safety threshold f Nmin , frequency steady-state value f s The safety margin is met, defined as Type 4, and no control plan is required.

[0070] It should be noted that stage I control is a control measure taken to prevent the frequency of the power system from dropping rapidly and falling below the safety threshold after being disturbed, and the time scale is hundreds of milliseconds; stage II control is a control measure taken to increase the steady-state frequency of the power system, and the time scale is hundreds of milliseconds to minutes.

[0071] Step 3) Estimate the fast controlled quantity, steady-state controlled quantity and their range:

[0072] Step 3-1: Stage I control the load ΔP to be controlled I It is obtained through time domain simulation trial and error;

[0073] Step 3-2: The load range [ΔP2, ΔP3] required for stage II control can be estimated by the following formula;

[0074] ΔP2=(K L P Lo -K G P Go )Δf1

[0075] ΔP3=(K L P Lo -K G P Go )Δf2

[0076] Among them, P Go is the initial power of the generator set, P Lo is the initial load power, K L is the average unit regulation power of the system load, K G The average unit regulated power of the system's generator sets.

[0077] Step 3-3: For type 1, the load range of stage II control should be corrected to [ΔP2-ΔP1, ΔP3-ΔP1].

[0078] Step 4) Calculation of comprehensive control index of each candidate control node:

[0079] First, control nodes are divided into two categories according to their response speed: fast response nodes and slow response nodes;

[0080] Secondly, calculate the comprehensive control index of all nodes:

[0081] 1) Volatility: The sampling period of the load is T. The historical daily load curve of the controllable node i is divided into j time periods at the time interval T. The load fluctuation in the jth time period is the absolute value of the difference between the initial value and the final value of the load in the time period |P j1 -P j2 |, the fluctuation of node i in time period j is represented by the average fluctuation of node i's load in time period j over the past n days.

[0082]

[0083] Where Z ij represents the load fluctuation of node i in the jth time period.

[0084] 2) Sensitivity:

[0085] Δf is the frequency change, and Δp is the load change corresponding to the frequency change Δf.

[0086] 3) Economic factors: c i

[0087] The comprehensive control index SPI is obtained by weighting the three indicators comprehensively. ij , and its calculation formula is:

[0088] SPI ij =α*Z ij +β*r i +γ*c i (α+β+γ=100%)

[0089] It can be seen that the comprehensive index is related to time and the smaller the value of the comprehensive index is, the better the comprehensive control performance of the node is.

[0090] Step 5) Determine the control scheme according to the control type;

[0091] For type one:

[0092] 1) In the fast response candidate control point space, the nodes are sorted from small to large according to the comprehensive control index, and the controllable power of the nodes is accumulated in sequence according to the sorting order based on the minimum overcontrol principle to meet the load ΔP1 of stage I control;

[0093] 2) Sort the remaining candidate control points in the space from small to large according to the comprehensive control index, calculate the node power fluctuation range, and accumulate the node power fluctuation range in sequence until the steady-state controlled quantity range [ΔP2-ΔP1, ΔP3-ΔP1] is met.

[0094] For type 2:

[0095] In the fast response candidate control point space, the nodes are sorted from small to large according to the comprehensive control index, and the controllable power of the nodes is accumulated in sequence according to the sorting order based on the minimum overcontrol principle to meet the load ΔP1 of stage I control;

[0096] For type three:

[0097] All nodes are sorted from small to large according to the comprehensive control index, and the node power fluctuation range is calculated. The node power fluctuation range is accumulated in sequence until the steady-state controlled quantity range [ΔP2, ΔP3] is met.

[0098] Step 6) Calculate the power fluctuation range of the candidate control node:

[0099] For type 1, it is necessary to calculate the power fluctuation range of the remaining nodes after stage Ⅰ control;

[0100] For type three, the power fluctuation range of all nodes needs to be calculated;

[0101] The controllable power sampled by candidate control node i is P i From step 4-2, we can know that the fluctuation of node i in the control period is Z ij , then the fluctuation range of node i power is [P i -Z ij ,P i +Z ij ].

[0102] Step 7) Check whether the control scheme meets the steady-state controlled variable range:

[0103] According to step 5), the type 1 and type 3 II stage control needs to verify whether the selected control node satisfies the steady-state controlled quantity interval [ΔP2-ΔP1, ΔP3-ΔP1] and [ΔP2, ΔP3];

[0104] If satisfied, the selected control node is cut off;

[0105] If it exceeds the range of the controlled quantity, relax the volatility coefficient, recalculate the comprehensive index, and reselect the control node until it does not exceed the range.

[0106] In actual application, the grid frequency safety control method disclosed in the above embodiment can compile its operation logic into a set of executable instructions, which are written into a storage medium and run on the above electronic device.

[0107] More specific examples of computer-readable storage media mentioned in this embodiment may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), an erasable programmable read-only memory (EPROM or flash memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. Computer-readable storage media may include a data signal propagated in a baseband or as part of a carrier wave, wherein a readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable signal medium may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, device, or device.

[0108] As described above, although the present invention has been shown and described with reference to specific preferred embodiments, it should not be construed as limiting the present invention itself. Various changes in form and details may be made without departing from the spirit and scope of the present invention as defined in the appended claims.

Claims

1. A method for safely controlling power grid frequency considering load fluctuations, characterized in that: The steps include: Select a target power grid system, and obtain the steady-state deviation range of the target power grid system after being disturbed through time domain simulation; Determine multiple control types according to the steady-state deviation range, and determine corresponding control schemes according to different control types; According to different control types, calculate the fast controlled quantity interval and the steady-state controlled quantity interval; Divide the target power grid system into several candidate control nodes, each of which controls a sub-area of ​​the power grid; calculate the comprehensive control index of each candidate control node; Calculate the power fluctuation range of the candidate control nodes according to the comprehensive control index, and accumulate the power fluctuation range of each control node in sequence until the steady-state controlled quantity range is met; Check whether the currently selected control scheme meets the steady-state controlled variable range: If satisfied, the selected control node is cut off; If it is not satisfied, reselect the control node until it does not exceed the range of the steady-state controlled variable.

2. The method for safely controlling power grid frequency considering load fluctuation according to claim 1, characterized in that: The steady-state deviation range of the power grid system after being disturbed is obtained by time domain simulation, specifically including: According to the lowest value f to which the target power grid system drops during the disturbance min and the minimum safety threshold of system frequency f Nmin The lowest value deviation of the system frequency without control is calculated as Δf = f Nmin -f min ; The frequency safety range [f r1 ,f r2 ]; ideal value of steady-state frequency deviation without control f r =50-f s , the steady-state frequency deviation range without control is [Δf1, Δf2], Δf1 = f r1 -f s , Δf2=f r2 -f s ; System frequency minimum safety threshold f Nmin It should not be lower than the low-frequency load reduction setting.

3. The method for safely controlling power grid frequency considering load fluctuation according to claim 2, characterized in that: The determining of multiple control types according to the steady-state deviation range specifically includes: System frequency minimum value f min Below the frequency safety threshold f Nmin , frequency steady-state value f s If the safety range is not met, it is defined as Type I, and a control scheme combining stage I control and stage II control is adopted; System frequency minimum value f min Below the frequency safety threshold f Nmin , frequency steady-state value f s Satisfying the safety range, it is defined as type II and adopts stage I control; System frequency minimum value f min Above the frequency safety threshold f Nmin , frequency steady-state value f s If the safety range is not met, it is defined as Type III and stage II control is adopted; System frequency minimum value f min Above the frequency safety threshold f Nmin , frequency steady-state value f s The safety margin is met, defined as Type 4, and no control plan is required.

4. The method for safely controlling power grid frequency considering load fluctuation according to claim 3 is characterized in that: The stage I control is a control measure taken to prevent the frequency of the power system from dropping rapidly and falling below the safety threshold after being disturbed, and the time scale is hundreds of milliseconds; the stage II control is a control measure taken to increase the steady-state frequency of the power system, and the time scale is hundreds of milliseconds to minutes.

5. The method for safely controlling power grid frequency considering load fluctuation according to claim 4, characterized in that: The calculation of the fast controlled variable interval and the steady-state controlled variable interval according to different control types specifically includes: The load amount ΔP1 that needs to be controlled in the first stage control is obtained through time domain simulation trial and error; The load range [ΔP2, ΔP3] required for the stage II control is calculated by the following formula: ΔP2=(K L P Lo -K G P Go )Δf1 ΔP3=(K L P Lo -K G P Go )Δf2 Where P Go is the initial power of the generator set, P Lo is the initial load power, K L is the average unit regulation power of the system load, K G The average unit regulation power of the system generator sets; For type 1, stage II control, the load interval is corrected to [ΔP2-ΔP1, ΔP3-ΔP1].

6. The method for safely controlling power grid frequency considering load fluctuation according to claim 1, characterized in that: The dividing the target power grid system into a number of candidate control nodes specifically includes: The candidate control nodes are divided into fast response control points and slow response control points according to their response speed.

7. The method for safely controlling power grid frequency considering load fluctuation according to claim 6, characterized in that: The comprehensive control index includes volatility Z ij , sensitivity r i , Economic Factor c i ; The sampling period of the load is T. The historical daily load curve of the controllable node i is divided into j time periods at the time interval T. The load fluctuation in the jth time period is the absolute value of the difference between the initial value and the final value of the load in the time period |P j1 -P j2 |, the average load fluctuation of node i in time period j over the past n days is used to represent the fluctuation Z of node i in time period j ij : In the formula, Z ij represents the load fluctuation of node i in the jth time period; Sensitivity Where Δf is the frequency change, Δp is i is the load change corresponding to the frequency change Δf; The volatility Z ij , sensitivity r i , Economic Factor c i Comprehensive weighting to obtain the comprehensive control index SPI ij : SPI ij =α*Z ij +β*r i +γ*c i Wherein, α, β, γ are weighting coefficients, α+β+γ=100%.

8. The method for safely controlling power grid frequency considering load fluctuation according to claim 5, characterized in that: Calculating the power fluctuation range of the candidate control node according to the comprehensive control index, and accumulating the power fluctuation range of each control node in sequence until the steady-state controlled quantity range is met, specifically including: For type one: In the fast response candidate control point space, the nodes are sorted from small to large according to the comprehensive control index, and the controllable power of the nodes is accumulated in sequence according to the sorting order based on the minimum overcontrol principle to meet the load ΔP1 of stage I control; In the remaining candidate control point space, the comprehensive control index is sorted from small to large, and the node power fluctuation range is calculated. The node power fluctuation range is accumulated in sequence until the steady-state controlled quantity range [ΔP2-ΔP1, ΔP3-ΔP1] is met; For type 2: In the fast response candidate control point space, the nodes are sorted from small to large according to the comprehensive control index, and the controllable power of the nodes is accumulated in sequence according to the sorting order based on the minimum overcontrol principle to meet the load ΔP1 of stage I control; For type three: All nodes are sorted from small to large according to the comprehensive control index, and the node power fluctuation range is calculated. The node power fluctuation range is accumulated in sequence until the steady-state controlled quantity range [ΔP2, ΔP3] is met.

9. The method for safely controlling power grid frequency considering load fluctuation according to claim 8, characterized in that: Calculate the power fluctuation range of the node, including: For type 1, it is necessary to calculate the power fluctuation range of the remaining nodes after stage Ⅰ control; For type three, the power fluctuation range of all nodes needs to be calculated; The controllable power sampled by candidate control node i is P i , the fluctuation of node i in the control period is Z ij , then the fluctuation range of node i power is [P i -Z ij ,P i +Z ij ].

10. The method for safely controlling power grid frequency considering load fluctuation according to claim 8, characterized in that: The checking whether the currently selected control scheme satisfies the steady-state controlled variable range specifically includes: Type 1 and Type 3 II stage control needs to verify whether the selected control node meets the steady-state controlled quantity interval [ΔP2-ΔP1, ΔP3-ΔP1] and [ΔP2, ΔP3]; If the range of the controlled quantity is not exceeded, the selected control node is cut off; If it exceeds the range of the quantity to be controlled, relax the volatility coefficient, recalculate the comprehensive index, and reselect the control node until it does not exceed the range of the quantity to be controlled.

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