Hydropower station load regulation method and system based on dynamic table look-up optimization intelligent regulation and control

Abstract

The invention relates to the technical field of hydropower station dispatching and control, in particular to a hydropower station load adjusting method and system based on dynamic table look-up optimization intelligent regulation and control, and the method comprises the steps: collecting a first power demand record load of a hydropower station; configuring a dynamic load regulation table; inputting the first power demand record load into a dynamic load regulation table, and deciding a first current water head scene of the power demand; real-time guide vane opening degree scenes of a plurality of key water heads of the hydropower station speed regulator are collected, and a first guide vane opening degree list is decided; a first guide vane opening upper limit list and a first guide vane opening record of the speed regulator are collected; and through the first current water head scene and the first guide vane opening record, a first scene prediction record is collected, and the first scene prediction record is used for dynamically predicting the PLC control scene of the hydropower station. According to the invention, the load of the hydropower station can be quickly and accurately adjusted, and the stability and operation efficiency of the system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of hydropower station scheduling and control, in particular to a hydropower station load regulation method and system based on dynamic look-up table optimization and intelligent regulation. Background Art

[0002] At present, the load scheduling and control of hydropower stations are somewhat complex. Especially in the case of large load fluctuations, how to quickly and accurately adjust the guide vane opening to ensure the operation efficiency and stability of the hydropower station is an urgent problem to be solved. Existing technologies usually adopt manual experience or simple PID control methods, which are difficult to meet the requirements of rapid and precise load adjustment. Summary of the Invention

[0003] The key object of this application is to provide a hydropower station load regulation method and system based on dynamic look-up table optimization and intelligent regulation. By dispatching a load command, the monitoring system calculates the load difference, uses the dynamic look-up table method to check the current water head to meet the load difference requirement, determines the opening of the governor guide vane, and realizes precise adjustment through PLC control pulse width, ensuring that the hydropower station can quickly and accurately adjust the guide vane opening when the load fluctuates.

[0004] To achieve the above object, this application provides the following technical solutions:

[0005] According to the first aspect of the present invention, the present invention claims to protect a hydropower station load regulation method based on dynamic look-up table optimization and dynamic regulation, the method comprising:

[0006] Collect the first power demand of the hydropower station and record the load;

[0007] Configure a dynamic load regulation table;

[0008] Input the first power demand record load into the dynamic load regulation table to determine the first current water head scenario of the power demand;

[0009] Collect the real-time guide vane opening scenarios of multiple key water heads of the hydropower station governor to determine the first guide vane opening list;

[0010] Combine the active power set value of the hydropower station governor with the past guide vane opening list to collect the first guide vane opening upper limit list;

[0011] Collect the first guide vane opening record of the governor through the first guide vane opening list and the first guide vane opening upper limit list;

[0012] Collect the first scenario prediction record through the first current water head scenario and the first guide vane opening record, and the first scenario prediction record is used for dynamic prediction of the hydropower station PLC control scenario.

[0013] Further, for configuring the dynamic load regulation table, the method includes:

[0014] Configure a scheduling model;

[0015] Configure a multi - layer hydropower station load difference scheduling layer;

[0016] Configure an adjustment algorithm;

[0017] Based on the scheduling model, the multi - layer hydropower station load difference scheduling layer, and the adjustment algorithm, configure the dynamic load regulation table.

[0018] Further, for configuring the multi - layer hydropower station load difference scheduling layer, the method includes:

[0019] Collect the past recorded load of the power demand of the hydropower station;

[0020] Based on the load type and load regulation scenario of the power demand, monitor the information of the past recorded load, and collect multiple categories of past recorded load lists;

[0021] Based on the multiple categories of past recorded load lists, perform information feature extraction training to configure the multi - layer hydropower station load difference scheduling layer.

[0022] Further, for monitoring the information of the past recorded load based on the load type and load regulation scenario of the power demand and collecting multiple categories of past recorded load lists, the method includes:

[0023] Collect the load type and load regulation scenario of the power demand;

[0024] Monitor the information of the past recorded load through the load type of the power demand, and collect multiple past recorded load lists of different load types;

[0025] Through the load regulation scenario, correct the regulation period and the load regulation record scenario, and determine the key load regulation scenario;

[0026] Monitor and optimize the multiple past recorded load lists of different load types through the key load regulation scenario, and collect multiple categories of past recorded load lists.

[0027] Further, for collecting the real - time guide vane opening scenarios of multiple key water heads of the hydropower station governor and determining the first guide vane opening list;

[0028] Based on the three - dimensional correction diagram of the hydropower governor, perform guide vane opening correction to determine the multiple key water heads of the hydropower governor;

[0029] Based on the water level scenario, optimize the information collection period of the linear load difference scheduling device, and collect the first collection period, where the distribution of the load difference scheduling device corresponds one - to - one with multiple key water heads;

[0030] Control a linear load difference scheduling device through the first acquisition period to collect real-time guide vane opening scenarios of multiple critical water heads;

[0031] Based on the real-time guide vane opening scenarios of the multiple critical water heads, determine a first guide vane opening list, and the real-time guide vane opening scenarios of the multiple critical water heads correspond one-to-one with the elements of the first guide vane opening list.

[0032] Further, combining the active power set value of the hydropower station governor with the past guide vane opening list, collect a first upper limit list of guide vane openings, and the method includes:

[0033] Combine the active power set value of the hydropower station governor with the past guide vane opening list to determine the upper limit list of guide vane openings of the hydropower station governor;

[0034] Determine the first control pulse width of the hydropower station governor through the past guide vane opening list and the past regulation scenarios;

[0035] Adjust the upper limit list of guide vane openings through the first control pulse width to determine the first upper limit list of guide vane openings.

[0036] Further, for determining the first control pulse width of the hydropower station governor through the past guide vane opening list and the past regulation scenarios, the method includes:

[0037] Modify the past opening value information set of the hydropower station governor through the past guide vane opening list;

[0038] Based on the PLC control pulse width strategy, through the past regulation scenarios and the past opening value information set, combined with the guide vane opening action duration calculation strategy, collect the upper limit of the target value;

[0039] Successively judge whether the past opening value information set meets the upper limit of the target value;

[0040] Extract the information in the past opening value information set that does not meet the upper limit of the target value to determine the first control pulse width of the hydropower station governor.

[0041] According to the second aspect of the present invention, the present invention claims protection for a hydropower station load regulation system based on dynamic look-up table optimization for dynamic regulation, and the system includes:

[0042] A first capture module, which is used to collect the first power demand record load of the hydropower station;

[0043] A first configuration module, which is used to configure a dynamic load regulation table;

[0044] The first decision-making module, which is used to input the first power demand record load into the dynamic load regulation table and decide the first current water head scenario of the power demand.

[0045] The second decision-making module, which is used to collect the real-time guide vane opening scenarios of multiple key water heads of the hydropower station governor and decide the first guide vane opening list.

[0046] The second grabbing module, which is used to combine the active power set value of the hydropower station governor with the past guide vane opening list and collect the first guide vane opening upper limit list.

[0047] The third grabbing module, which is used to collect the first guide vane opening record of the governor through the first guide vane opening list and the first guide vane opening upper limit list.

[0048] The fourth grabbing module, which is used to collect the first scenario prediction record through the first current water head scenario and the first guide vane opening record, and the first scenario prediction record is used to dynamically predict the hydropower station PLC control scenario.

[0049] The hydropower station load regulation system based on dynamic look-up table optimization for dynamic regulation is used to execute the hydropower station load regulation method based on dynamic look-up table optimization for dynamic regulation.

[0050] The present invention relates to the technical field of hydropower station scheduling and control, in particular to a hydropower station load regulation method and system based on dynamic look-up table optimization for intelligent regulation. It collects the first power demand record load of the hydropower station, configures a dynamic load regulation table, inputs the first power demand record load into the dynamic load regulation table to decide the first current water head scenario of the power demand, collects the real-time guide vane opening scenarios of multiple key water heads of the hydropower station governor to decide the first guide vane opening list, collects the first guide vane opening upper limit list and the first guide vane opening record of the governor, and collects the first scenario prediction record through the first current water head scenario and the first guide vane opening record. The first scenario prediction record is used to dynamically predict the hydropower station PLC control scenario. The present invention realizes the rapid and accurate adjustment of the hydropower station load and improves the stability and operation efficiency of the system. Description of the Drawings

[0051] Figure 1 It is the working flow chart of the hydropower station load regulation method based on dynamic look-up table optimization for dynamic regulation requested to be protected by the embodiments of the present application.

[0052] Figure 2 It is the structural module diagram of the hydropower station load regulation system based on dynamic look-up table optimization for dynamic regulation requested to be protected by the embodiments of the present application. Detailed Embodiments

[0053] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present application belong to the scope of protection of the present application.

[0054] The terms "first", "second", and "third" in the present application are only used for descriptive purposes, and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first", "second", and "third" may explicitly or implicitly include at least one of such features. In the description of the present application, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise specifically defined. All directional indications (such as up, down, left, right, front, back...) in the embodiments of the present application are only used to explain the relative positional relationship and movement conditions between components in a specific posture (as shown in the drawings). If the specific posture changes, the directional indications will also change accordingly. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or load that includes a series of steps or modules is not limited to the listed steps or modules, but optionally further includes steps or modules not listed, or optionally further includes other steps or modules inherent to these processes, methods, products, or loads.

[0055] Referring to "embodiments" herein means that specific features, structures, or characteristics described in connection with the embodiments can be included in at least one embodiment of the present application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0056] The present application provides a hydropower station load regulation method based on dynamic look-up table optimization for dynamic regulation. Among them, the method includes: collecting the first power demand record load of the hydropower station; configuring a dynamic load regulation table; inputting the first power demand record load into the dynamic load regulation table to determine the first current water head scenario of the power demand; collecting the real-time guide vane opening scenarios of multiple key water heads of the hydropower station governor to determine the first guide vane opening list; combining the active power setting value of the hydropower station governor with the past guide vane opening list to collect the first guide vane opening upper limit list; collecting the first guide vane opening record of the governor through the first guide vane opening list and the first guide vane opening upper limit list; collecting the first scenario prediction record through the first current water head scenario and the first guide vane opening record, and the first scenario prediction record is used for dynamic prediction of the hydropower station PLC control scenario.

[0057] After introducing the basic principle of the present application, the various non-limiting implementation manners of the present application will be specifically introduced below in conjunction with the accompanying drawings of the specification.

[0058] Embodiment 1

[0059] According to the first embodiment of the present invention, the present invention claims to protect a hydropower station load regulation method based on dynamic look-up table optimization for dynamic regulation. Refer to Figure 1 , the method includes:

[0060] Collect the first power demand record load of the hydropower station and configure a dynamic load regulation table;

[0061] Input the first power demand record load into the dynamic load regulation table to determine the first current water head scenario of the power demand;

[0062] Collect the real-time guide vane opening scenarios of multiple key water heads of the hydropower station governor to determine the first guide vane opening list;

[0063] Combine the active power setting value of the hydropower station governor with the past guide vane opening list to collect the first guide vane opening upper limit list;

[0064] Collect the first guide vane opening record of the governor through the first guide vane opening list and the first guide vane opening upper limit list;

[0065] Collect the first scenario prediction record through the first current water head scenario and the first guide vane opening record, and the first scenario prediction record is used for dynamic prediction of the hydropower station PLC control scenario.

[0066] Furthermore, for the configuration of the dynamic load regulation table, the method includes:

[0067] Configure a scheduling model;

[0068] Configure a multi-layer hydropower station load difference scheduling layer;

[0069] Configuration adjustment algorithm;

[0070] Based on the scheduling model, the multi-layer hydropower station load difference scheduling layer and the adjustment algorithm, configure a dynamic load adjustment table.

[0071] Further, for the configuration of the multi-layer hydropower station load difference scheduling layer, the method includes:

[0072] Collect the past recorded load of the power demand of the hydropower station;

[0073] Based on the load type and load regulation scenario of the power demand, monitor the information of the past recorded load, and collect multiple categories of past recorded load lists;

[0074] Based on the multiple categories of past recorded load lists, perform information feature extraction training to configure the multi-layer hydropower station load difference scheduling layer.

[0075] Further, for the monitoring of the information of the past recorded load based on the load type and load regulation scenario of the power demand to collect multiple categories of past recorded load lists, the method includes:

[0076] Collect the load type and load regulation scenario of the power demand;

[0077] Monitor the information of the past recorded load through the load type of the power demand, and collect multiple past recorded load lists of different load types;

[0078] Through the load regulation scenario, correct the regulation period and the load regulation record scenario, and determine the key load regulation scenario;

[0079] Monitor and optimize the multiple past recorded load lists of different load types through the key load regulation scenario, and collect multiple categories of past recorded load lists.

[0080] Further, collect the real-time guide vane opening scenarios of multiple key water heads of the hydropower station governor, and determine the first list of guide vane openings;

[0081] Based on the three-dimensional correction diagram of the hydropower governor, perform guide vane opening correction to determine the multiple key water heads of the hydropower governor;

[0082] Based on the water level scenario, optimize the information collection period of the linear load difference scheduling device, and collect the first collection period, where the distribution of the load difference scheduling device corresponds to multiple key water heads one by one;

[0083] Control the linear load difference scheduling device through the first collection period to collect the real-time guide vane opening scenarios of multiple key water heads;

[0084] Based on the real-time guide vane opening scenarios of the multiple key water heads, determine the first list of guide vane openings, where the real-time guide vane opening scenarios of the multiple key water heads correspond one-to-one with the elements of the first list of guide vane openings.

[0085] Further, by combining the active power set value of the hydropower station governor with the past list of guide vane openings, collect the first list of upper limits of guide vane openings. The method includes:

[0086] Combine the active power set value of the hydropower station governor with the past list of guide vane openings to determine the list of upper limits of guide vane openings of the hydropower station governor;

[0087] Determine the first control pulse width of the hydropower station governor through the past list of guide vane openings and the past regulation scenarios;

[0088] Adjust the list of upper limits of guide vane openings through the first control pulse width to determine the first list of upper limits of guide vane openings.

[0089] Further, for the step of determining the first control pulse width of the hydropower station governor through the past list of guide vane openings and the past regulation scenarios, the method includes:

[0090] Correct the past opening value information set of the hydropower station governor through the past list of guide vane openings;

[0091] Based on the PLC control pulse width strategy, through the past regulation scenarios and the past opening value information set, combined with the calculation strategy of the guide vane opening action duration, collect the upper limit of the target value;

[0092] Successively determine whether the past opening value information set meets the upper limit of the target value;

[0093] Extract the information in the past opening value information set that does not meet the upper limit of the target value to determine the first control pulse width of the hydropower station governor.

[0094] Wherein, in this embodiment, it further includes:

[0095] Dispatch and issue load: The dispatch center issues a load instruction to the monitoring system according to the power demand. Set the target load as Pset.

[0096] The monitoring system calculates the load difference: After receiving the load instruction, the monitoring system calculates the load difference ΔP between the current actual load Pcurrent and the issued load, that is:

[0097] ΔP = Pset - Pcurrent;

[0098] Check the current water head by the dynamic look-up table method: According to the calculated load difference ΔP, check whether the current water head meets the requirements of this load difference by the dynamic look-up table method. The result of the dynamic look-up table method can be expressed as

[0099] θ = f(ΔP, H);

[0100] Where θ is the required guide vane opening, and H is the current water head.

[0101] Calculation of the action duration of the guide vane opening: According to the determined guide vane opening θ, calculate the acceleration / deceleration opening pulse width tpw that needs to be sent by the PLC for the guide vane to move to these openings. The relationship can be expressed as:

[0102] tpw = g(θ);

[0103] PLC control pulse width: After the PLC receives the pulse width duration, it first moves 80% of the opening, and the remaining 20% is fine-tuned by the PID control program inside the PLC to achieve precise adjustment of the guide vane opening. The specific control process can be expressed as:

[0104] θ = 0.8 * θ + PID(0.2 * θ).

[0105] According to the second embodiment of the present invention, the present invention claims to protect a hydropower station load regulation system based on dynamic look-up table optimization for dynamic regulation. Refer to Figure 2 , the system includes:

[0106] A first capture module, which is used to collect the first power demand record load of the hydropower station and configure a dynamic load regulation table;

[0107] A first decision module, which is used to input the first power demand record load into the dynamic load regulation table and decide the first current water head scenario of the power demand;

[0108] A second decision module, which is used to collect the real-time guide vane opening scenarios of multiple key water heads of the hydropower station governor and decide a first guide vane opening list;

[0109] A second capture module, which is used to combine the active power set value of the hydropower station governor with the past guide vane opening list and collect a first guide vane opening upper limit list;

[0110] A third capture module, which is used to collect a first guide vane opening record of the governor through the first guide vane opening list and the first guide vane opening upper limit list;

[0111] A fourth capture module, which is used to collect a first scenario prediction record through the first current water head scenario and the first guide vane opening record. The first scenario prediction record is used to dynamically predict the PLC control scenario of the hydropower station.

[0112] The load regulation system of a hydropower station based on dynamic look-up table optimization for dynamic regulation is used to execute the method for load regulation of a hydropower station based on dynamic look-up table optimization for dynamic regulation.

[0113] In a specific experimental embodiment of the present invention, the dispatching center issues a load instruction, requiring the load of a certain hydropower station to increase from the current 50 MW to 70 MW. After receiving the load instruction, the monitoring system calculates that the load difference is 20 MW. According to the dynamic look-up table method, when the current water head meets the load difference of 20 MW, the guide vane opening needs to be increased by 10 degrees.

[0114] After receiving the instruction to increase the guide vane opening by 10 degrees, the PLC calculates that the required pulse width is 200 ms. When the PLC acts, it first acts for 160 ms (i.e., 80% of the pulse width), and the remaining 40 ms is finely adjusted by the PID control program inside the PLC to ensure that the guide vane is finally accurately adjusted to the required opening position.

[0115] In several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of modules is only a logical function division. In actual implementation, there can be other division methods. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some interfaces, and the indirect coupling or communication connection of devices or modules can be in electrical, mechanical, or other forms.

[0116] In addition, each functional module in various embodiments of the present application can be integrated in a processing module, or each module can exist physically alone, or two or more modules can be integrated in one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules. The above is only the implementation mode of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, are equally included in the patent protection scope of the present application.

[0117] The specific implementation modes of the invention have been described in detail above, but they are only examples, and the present application is not limited to the specific implementation modes described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the present application. Therefore, equivalent transformations, modifications, improvements, etc. made without departing from the spirit and scope of the present application should all be covered within the scope of the present application.

Claims

1. A method for regulating the load of a hydropower station based on dynamic look-up table optimization for dynamic regulation, characterized in that, The method includes: Collect the first power demand record load of the hydropower station; Configure a dynamic load regulation table; Input the first power demand record load into the dynamic load regulation table to determine the first current water head scenario of the power demand; Collect the real-time guide vane opening scenarios of multiple key water heads of the hydropower station governor, and determine the first guide vane opening list; Combine the active power setting value of the hydropower station governor with the past guide vane opening list to collect the first guide vane opening upper limit list; Collect the first guide vane opening record of the governor through the first guide vane opening list and the first guide vane opening upper limit list; Collect the first scenario prediction record through the first current water head scenario and the first guide vane opening record, and the first scenario prediction record is used for dynamic prediction of the hydropower station PLC control scenario.

2. The method according to claim 1, wherein Regarding the configuration of the dynamic load regulation table, the method includes: Configure a scheduling model; Configure a multi-layer hydropower station load difference scheduling layer; Configure an adjustment algorithm; Based on the scheduling model, the multi-layer hydropower station load difference scheduling layer and the adjustment algorithm, configure a dynamic load regulation table.

3. The method according to claim 2, characterized in that Regarding the configuration of the multi-layer hydropower station load difference scheduling layer, the method includes: Collect the past record load of the power demand of the hydropower station; Based on the load type and load regulation scenario of the power demand, monitor the information of the past record load, and collect multiple categories of past record load lists; Based on the multiple categories of past record load lists, perform information feature extraction training to configure a multi-layer hydropower station load difference scheduling layer.

4. The method according to claim 3, wherein Regarding the monitoring of the information of the past record load based on the load type and load regulation scenario of the power demand to collect multiple categories of past record load lists, the method includes: Collect the load type and load regulation scenario of the power demand; Monitor the information of the past record load through the load type of the power demand, and collect multiple load type past record load lists; Through the load regulation scenario, correct the regulation period and the load regulation record scenario, and determine the key load regulation scenario; Monitor and optimize the multiple load type past record load lists through the key load regulation scenario, and collect multiple categories of past record load lists.

5. The method according to claim 1, wherein Regarding the collection of the real-time guide vane opening scenarios of multiple key water heads of the hydropower station governor to determine the first guide vane opening list; Based on the three-dimensional correction diagram of the hydropower governor, perform guide vane opening correction to determine the multiple key water heads of the hydropower governor; Based on the water level scenario, optimize the information collection period of the linear load difference scheduling device, and collect the first collection period, and the distribution of the load difference scheduling device corresponds to multiple key water heads one by one; Control the linear load difference scheduling device through the first collection period to collect the real-time guide vane opening scenarios of multiple key water heads; Based on the real-time guide vane opening scenarios of the multiple key water heads, determine the first guide vane opening list, and the real-time guide vane opening scenarios of the multiple key water heads correspond to the elements of the first guide vane opening list one by one.

6. The method according to claim 1, wherein Regarding the combination of the active power setting value of the hydropower station governor and the past guide vane opening list to collect the first guide vane opening upper limit list, the method includes: Combine the active power set value of the hydropower station governor with the past guide vane opening list to determine the upper limit list of the guide vane opening of the hydropower station governor; The first control pulse width of the hydropower station governor is determined by using the list of past guide vane openings and past control scenarios; The guide vane opening upper limit list is adjusted by the first control pulse width to determine the first guide vane opening upper limit list.

7. The method according to claim 6, characterized in that, The method of determining the first control pulse width of the hydropower station governor based on the past guide vane opening list and past control scenarios includes: Correcting the past guide vane opening value information set of the hydropower station governor by using the past guide vane opening list; Based on the PLC control pulse width strategy, the target value upper limit is collected through the past control scenarios and past opening value information sets, combined with the guide vane opening action duration calculation strategy; Successively determining whether the past opening value information set meets the target numerical upper limit; The information in the past opening value information set that does not meet the upper limit of the target value is extracted to determine the first control pulse width of the hydropower station speed regulator.

8. A hydropower station load regulation system based on dynamic look-up table optimization for dynamic regulation, characterized in that, The system comprises: a first capturing module, the first capturing module being used to collect a first power demand record load of the hydropower station; a first configuration module, the first configuration module being used to configure a dynamic load adjustment table; a first decision module, configured to input the first power demand record load into the dynamic load adjustment table to determine a first current water head scenario of power demand; a second decision module, the second decision module being used to collect real-time guide vane opening scenarios of multiple key water heads of a hydropower station governor and determine a first guide vane opening list; a second capture module, the second capture module being configured to collect a first guide vane opening upper limit list by combining the active power set value of the hydropower station governor with a past guide vane opening list; a third capturing module, configured to collect first guide vane opening records of the speed regulator through the first guide vane opening list and the first guide vane opening upper limit list; a fourth capture module, the fourth capture module being configured to collect a first scenario prediction record based on the first current water head scenario and the first guide vane opening record, wherein the first scenario prediction record is used to dynamically predict a PLC control scenario of the hydropower station; The hydropower station load regulation system based on dynamic table lookup optimization and dynamic regulation is used to execute the hydropower station load regulation method based on dynamic table lookup optimization and dynamic regulation as described in any one of claims 1 to 7.

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