An optimization system for the operation mode of hydropower units

Abstract

The invention discloses an optimization system for the operation mode of a hydropower unit, which relates to the technical field of operation of hydropower units and solves the technical problem that management often relies on relatively single monitoring indicators or empirical operations and lacks comprehensive and systematic performance analysis and optimization and regulation of the units. The invention cooperates with the acquisition and status analysis modules of the hydropower unit to accurately collect information such as transmission current, voltage, water head, water flow, etc., accurately calculate the efficiency of the unit, accurately judge the working status, and lay a solid foundation for subsequent processing. During peak hours, the normal operation processing module uses historical data and scientific calculations to comprehensively consider the power grid load, duration, unit start-up time and impact parameters, optimize the unit start-up sequence and operating parameters, balance power supply and power grid impact, stabilize power grid operation, and improve power supply reliability and quality. During low-peak hours, the strategy is accurately customized according to the load curve to reduce unit energy consumption, reduce resource loss and operating costs.

Description

Technical Field

[0001] The invention relates to the technical field of hydroelectric unit operation, and in particular to an optimization system for the operation mode of a hydroelectric unit. Background Art

[0002] As hydropower resources play an increasingly prominent role in the global energy structure, the efficient and stable operation of hydropower units has become the focus of the hydropower industry.

[0003] According to the publication number CN103927592A, a method for optimizing the operation mode of a hydropower unit is disclosed, which includes the following steps: collecting, analyzing and collating the efficiency test data of the hydropower unit on site, and establishing a hydropower unit on site efficiency test sample library; using the Shepard surface interpolation method, based on the hydropower unit on site test data with a limited number of working water heads H and unit outputs P in the established hydropower unit on site efficiency test sample library, establishing a hydropower unit efficiency model under different working water heads H and different unit outputs P; according to the established hydropower unit efficiency model, calculating in real time the operation characteristic curve of the hydropower unit under the current working water head H at the current operation moment, and finding the maximum value of the unit efficiency η under any unit output P at the current operation moment according to the operation characteristic curve; under different working water heads H, distributing the load of the hydropower unit near the maximum value of the unit efficiency η, and completing the optimization of the operation mode of the hydropower unit.

[0004] During the operation of the power system, hydropower units face complex and changeable working conditions. On the one hand, they need to meet the load demand of the power grid at different times, including high power supply during peak hours and flexible adjustment during off-peak hours; on the other hand, the operating efficiency, water consumption rate and impact on the power grid of the hydropower units themselves are interrelated and mutually restricted. Traditional hydropower unit operation management often relies on relatively single monitoring indicators or empirical operations, lacking comprehensive and systematic performance analysis and optimization and regulation of the units. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an optimization system for the operation mode of a hydropower unit, which solves the problem that management often relies on relatively single monitoring indicators or empirical operations and lacks comprehensive and systematic performance analysis and optimization regulation of the unit.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A system for optimizing the operation mode of a hydropower unit, comprising:

[0007] The hydropower unit acquisition module is used to acquire the hydropower unit and its basic information, and transmit the acquired hydropower unit and its basic information to the hydropower unit status analysis module;

[0008] The hydropower unit status analysis module is used to analyze the acquired basic information, calculate the unit efficiency of the hydropower unit based on the basic information, and identify the working state of the hydropower unit according to the unit efficiency to obtain a normal state signal and an abnormal state signal, transmit the generated normal state signal to the normal operation processing module, and transmit the generated abnormal state signal to the abnormal operation analysis module;

[0009] The operation abnormality analysis module is used to analyze the acquired abnormal state signal, analyze the water consumption rate of the hydropower unit corresponding to the abnormal state signal, and generate corresponding optimization information from the two aspects of water head and unit efficiency;

[0010] The normal operation processing module is used to analyze the acquired normal state signal, analyze the acquired historical data, and classify the peak period and the off-peak period according to the power consumption, and optimize the hydropower units in the peak period and the off-peak period to generate optimization information, and then transmit the optimization information to the optimization information output module;

[0011] The optimization information output module is used to display the acquired optimization information to the corresponding operator.

[0012] As a further solution of the present invention, the specific method in which the hydropower unit state analysis module identifies the working state of the hydropower unit is:

[0013] Obtain all hydropower units and label them as i, where i=1, 2, …, j, where j represents the number of hydropower units. Obtain the transmission current I and transmission voltage U corresponding to hydropower unit i, and calculate the transmission power Pi corresponding to hydropower unit i according to the formula P=U×I. Then obtain the water head Hi and water flow Qi of hydropower unit i, and substitute the obtained parameters into the formula The input water power Pi1 corresponding to the hydropower unit i is calculated, where is the density of water, g is the acceleration of gravity, and the unit efficiency Xi of the hydropower unit i is calculated based on the transmission power Pi and the input water power Pi1, and the specific calculation formula is ;

[0014] The calculated unit efficiency Xi of the hydropower unit i is compared with the preset value Xy. If the unit efficiency Xi is greater than the preset value Xy, a normal state signal is generated. Otherwise, if the unit efficiency Xi is less than the preset value Xy, an abnormal state signal is generated.

[0015] As a further solution of the present invention, the specific manner in which the operation abnormality analysis module analyzes the acquired state abnormality signal is:

[0016] The hydropower unit corresponding to the abnormal state signal is obtained and recorded as abnormal hydropower unit a, and a=1, 2, ..., n, where n represents the number of abnormal hydropower units. At the same time, the flow unit Qa of the turbine of abnormal hydropower unit a and the output power Pa of abnormal hydropower unit a are obtained, and the obtained parameters are substituted into the formula Calculate the water consumption rate q corresponding to the abnormal hydropower unit a a Then the calculated water consumption rate q a With the threshold q y The water consumption regulation signal or the unit efficiency regulation signal is obtained by comparison, and the two are analyzed.

[0017] As a further solution of the present invention, the specific manner in which the abnormal operation analysis module analyzes the water consumption adjustment signal and the unit efficiency adjustment signal is:

[0018] Analyze the generated water consumption adjustment signal to obtain the current water head and the water head value under normal conditions, and adjust the current water head based on the water head value under normal conditions, and generate optimization information;

[0019] The generated unit efficiency adjustment signal is analyzed to obtain the unit load of the abnormal hydropower unit, the efficiency curve of the abnormal hydropower unit is obtained, and the maximum efficiency of the abnormal hydropower unit is determined. At the same time, the unit efficiency of the abnormal hydropower unit is adjusted at the highest efficiency to generate optimization information.

[0020] As a further solution of the present invention, the specific manner in which the normal operation processing module analyzes the normal status signal is:

[0021] Obtain historical data and the power consumption in a unit time period, and then obtain all power consumption within 24 hours, and classify the time periods according to the power consumption to obtain peak time periods and valley time periods;

[0022] The electricity consumption in a unit time period is obtained, and the electricity consumption is compared with the preset value. If the electricity consumption is greater than the preset value, the corresponding time period is classified as a peak period. Otherwise, if the electricity consumption is less than the preset value, the corresponding time period is classified as a valley period. The hydropower units corresponding to the peak period and valley period are optimized and analyzed to obtain optimization information.

[0023] As a further solution of the present invention, the specific method of optimizing and analyzing the hydropower units during peak hours by the normal operation processing module is as follows:

[0024] According to the historical data, the corresponding total load during the peak period is obtained, and the duration of the peak period is obtained. Then, all the normally working units are obtained, denoted as o, and o=1, 2, ..., p, where p represents the number of normal hydropower units, and the start-up time To and the grid impact parameters [Imax, ], and Imax represents the transient current impact value, Indicates the voltage fluctuation amplitude value;

[0025] Similarly, the above analysis method is used for all normal hydropower unit start-up time To and grid impact parameters [Imax, ] is obtained, and sorted from small to large according to the start time To. Then, the corresponding normal hydropower units are selected based on the total load during the peak period, and started in the sorted order. At the same time, the grid load demand is obtained, and then the utilization rate of the water head is obtained. According to the utilization rate, it is determined whether optimization adjustment is needed. If optimization adjustment is needed, the gate opening of the reservoir is adjusted, and optimization information is generated. Otherwise, if optimization adjustment is not needed, normal information is generated, and then the generated optimization information is transmitted to the optimization information output module.

[0026] As a further solution of the present invention, the normal operation processing module calculates the grid impact parameters of the normal hydropower unit in the following manner:

[0027] The calculation of transient current impact value Imax is as follows: obtain the no-load electromotive force E of the motor (approximately the rated voltage Un) determined according to the rated parameters of the motor, and at the same time obtain the direct-axis synchronous reactance Xd of the motor, which can be obtained from the technical parameter manual of the motor, or measured by the short-circuit test of the motor, and substitute the obtained parameters into the formula The transient current impact value Imax is calculated;

[0028] Voltage fluctuation amplitude The calculation is: Get the motor starting current I start , and at the same time obtain the equivalent reactance of the power grid and record it as X grid , then substitute the obtained parameters into Calculate the voltage fluctuation amplitude .

[0029] As a further solution of the present invention, the specific method of optimizing and analyzing the hydropower units during the off-peak period by the normal operation processing module is as follows:

[0030] Collect the load curve of the power grid during the low load period, clarify the start and end time of the low load period, the minimum load value and its duration, and perform the same processing and analysis on the low load period based on the processing method of the peak period to generate optimization information, which is then transmitted to the optimization information output module.

[0031] The present invention provides an optimization system for the operation mode of a hydropower unit. Compared with the prior art, it has the following beneficial effects:

[0032] The present invention cooperates with the hydropower unit collection and status analysis module to accurately collect information such as transmission current, voltage, water head, water flow, etc., accurately calculate unit efficiency, and accurately determine the working status, laying a solid foundation for subsequent processing. During peak hours, the normal operation processing module uses historical data and scientific calculations to comprehensively consider the grid load, duration, unit start-up time and impact parameters, optimize the unit start-up sequence and operating parameters, balance power supply and grid impact, stabilize grid operation, and improve power supply reliability and quality. During low-peak hours, strategies are accurately customized according to the load curve to reduce unit energy consumption, reduce resource loss and operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is the principle diagram of the system of the present invention;

[0034] Figure 2 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] For example, see Figure 1 and Figure 2 The present application provides an optimization system for the operation mode of a hydropower unit, including: a hydropower unit acquisition module, a hydropower unit state analysis module, a normal operation processing module, an abnormal operation analysis module, and an optimization information output module. Figure 1 It can be seen from the principle block diagram shown that the above functional modules are unidirectionally electrically connected.

[0037] The hydropower unit acquisition module is used to acquire the hydropower unit and its basic information, and transmit the acquired hydropower unit and its basic information to the hydropower unit status analysis module.

[0038] The hydropower unit status analysis module is used to analyze the basic information obtained, calculate the unit efficiency of the hydropower unit based on the basic information, and identify the working status of the hydropower unit based on the unit efficiency to obtain the status identification result, and transmit the status identification result.

[0039] Obtain all hydropower units and label them as i, where i=1, 2, ..., j, where j represents the number of hydropower units. Obtain the transmission current I and transmission voltage U corresponding to hydropower unit i, and calculate the transmission power Pi corresponding to hydropower unit i according to the formula P=U×I;

[0040] For example, for hydropower unit 1, its transmission voltage U1=10000V and transmission current I=500A are measured. Then, according to the formula, its transmission power P1=U1xI1=10000Vx500A=5MW is obtained. Then, the water head Hi and water flow Qi of hydropower unit i are obtained, and the water head here is expressed as the upstream and downstream water level difference. At the same time, the obtained parameters are substituted into the formula The input water power Pi1 corresponding to the hydropower unit i is calculated, where is the density of water, g is the acceleration of gravity, and the unit efficiency Xi of the hydropower unit i is calculated based on the transmission power Pi and the input water power Pi1, and the specific calculation formula is For example, for hydropower unit 2, the measured water head H2=50m, water flow Q2=20m 3 / s, and calculate its input water power according to the corresponding calculation formula:

[0041] =1000kg / m 3 x9.81m / s 2 x20m 3 / sx50m=9.81x106W=9.81MW.

[0042] Then, the calculated unit efficiency Xi of the hydropower unit i is compared with the preset value Xy, and the specific value of the preset value is set by the operator. If the unit efficiency Xi is greater than the preset value Xy, it means that the current working state of the hydropower unit i is normal, and a normal state signal is generated. On the contrary, if the unit efficiency Xi is less than the preset value Xy, it means that the current working state of the hydropower unit i is abnormal, and an abnormal state signal is generated.

[0043] Then the generated normal state signal is transmitted to the normal operation processing module, and the generated abnormal state signal is transmitted to the abnormal operation analysis module.

[0044] The operation abnormality analysis module analyzes the acquired abnormal status signal, analyzes the water consumption rate of the hydropower unit corresponding to the abnormal status signal, and generates corresponding optimization information from two aspects: water head and unit efficiency.

[0045] The hydropower unit corresponding to the abnormal state signal is obtained and recorded as abnormal hydropower unit a, and a=1, 2, ..., n, where n represents the number of abnormal hydropower units. At the same time, the flow unit Qa of the turbine of abnormal hydropower unit a and the output power Pa of abnormal hydropower unit a are obtained, and the obtained parameters are substituted into the formula Calculate the water consumption rate q corresponding to the abnormal hydropower unit a a Then the calculated water consumption rate q a Conduct analysis;

[0046] The water consumption rate q a With the threshold q y The specific value of the threshold is set by the operator. If the water consumption rate q a Greater than the threshold q y , it means that it is necessary to analyze the water consumption rate of abnormal hydropower unit a and generate a water consumption adjustment signal. On the contrary, if the water consumption rate q a Less than the threshold q y , it means that the water consumption rate of the abnormal hydropower unit is normal, and a unit efficiency adjustment signal is generated;

[0047] Analyze the generated water consumption adjustment signal to obtain the current water head and the water head value under normal conditions, and adjust the current water head based on the water head value under normal conditions, and generate optimization information;

[0048] According to the deviation value, the current water head is adjusted by adjusting the gate opening of the reservoir or the operating parameters of the turbine. If △H>0, it means that the current water head is too high, and it may be necessary to increase the flow of the turbine appropriately to lower the water level of the reservoir so that the water head gradually approaches the standard value; if △H<0, the current water head is too low, and it may be necessary to reduce the flow of the turbine to allow the reservoir to store water to increase the water head. During the adjustment process, optimization information is generated in real time. The information includes the direction of adjustment (such as increasing or decreasing the flow), the amplitude of the adjustment (such as the specific value or proportion of the increase or decrease in the flow) and the estimated time required to reach the standard water head. For example, it is calculated that △H=-20m. According to the operating characteristics and equipment parameters of the hydropower plant, the generated optimization information is: the turbine flow needs to be reduced, and it is recommended to reduce the current flow by 10m 3 / s, it is expected that after 2 hours of adjustment the water head can be close to the standard value of 100m.

[0049] The generated unit efficiency adjustment signal is analyzed to obtain the unit load of the abnormal hydropower unit, obtain the efficiency curve of the abnormal hydropower unit, and determine the maximum efficiency of the abnormal hydropower unit. At the same time, the unit efficiency of the abnormal hydropower unit is adjusted with the highest efficiency to generate optimization information; for example, for units with different efficiency curves, the load is distributed to each unit so that their efficiency can reach more than 90%, avoiding the unit operating in a low efficiency range and wasting water resources.

[0050] At the same time, the generated optimization information is transmitted to the optimization information output module.

[0051] The optimization information output module is used to display the acquired optimization information to the corresponding operator.

[0052] Embodiment 2, as Embodiment 2 of the present invention, is implemented on the basis of Embodiment 1, and differs from Embodiment 1 in that:

[0053] The normal operation processing module analyzes the acquired normal status signal, analyzes the acquired historical data, and classifies the peak period and the off-peak period according to the power consumption. At the same time, it optimizes and analyzes the hydropower units during the peak period and the off-peak period to generate optimization information, and then transmits the optimization information to the optimization information output module.

[0054] Obtain historical data, and at the same time obtain the power consumption in a unit time period, and the unit time period here is represented by one hour, and so on to obtain all the power consumption within 24 hours, and classify the time period according to the power consumption to obtain the peak time period and the valley time period, and the specific classification method is: obtain the power consumption in the unit time period, and at the same time compare the power consumption with the power consumption preset value, and the specific value of the power consumption preset value is set by the operator, if the power consumption is greater than the power consumption preset value, then the corresponding time period is classified as the peak time period, otherwise if the power consumption is less than the power consumption preset value, then the corresponding time period is classified as the valley time period;

[0055] For example, after a detailed analysis, the preset value of electricity consumption is set to 500 kWh. Then, for each hour of electricity consumption data, it is compared with the preset value one by one. If the electricity consumption in a certain hour is greater than 500 kWh, such as 600 kWh from 18:00 to 19:00, then this time period is classified as a peak period; conversely, if the electricity consumption in a certain hour is less than 500 kWh, such as 300 kWh from 3:00 to 4:00, this time period is classified as a valley period.

[0056] The hydropower units in peak hours are optimized and analyzed. The total load corresponding to the peak hours is obtained according to historical data. The peak hours here refer to all peak hours in a day. According to actual analysis, the peak hours are usually continuous. The duration of the peak hours is obtained. Then all the normal working units are obtained and recorded as o, where o=1, 2, ..., p, where p represents the number of normal hydropower units. The start-up time To and grid impact parameters [Imax, ], and Imax represents the transient current impact value, Indicates the voltage fluctuation amplitude value;

[0057] The calculation of transient current impact value Imax is as follows: obtain the no-load electromotive force E of the motor (approximately the rated voltage Un) determined according to the rated parameters of the motor, and at the same time obtain the direct-axis synchronous reactance Xd of the motor, which can be obtained from the technical parameter manual of the motor, or measured by the short-circuit test of the motor, and substitute the obtained parameters into the formula The transient current impact value Imax is calculated; for example, for a hydropower unit with a rated voltage of E=10KV and a direct-axis synchronous reactance Xd=1Ω, the transient current peak value is calculated according to the formula to obtain Imax=10000A.

[0058] Voltage fluctuation amplitude The calculation is: Get the motor starting current I start , and at the same time obtain the equivalent reactance of the power grid and record it as X grid , then substitute the obtained parameters into Calculate the voltage fluctuation amplitude , for example, the starting current I start =5000A, the equivalent reactance of the power grid is denoted as X grid =0.5Ω, rated voltage Un=10KV, then the further voltage fluctuation amplitude is calculated as 25% according to the formula.

[0059] Similarly, the above analysis method is used for all normal hydropower unit start-up time To and grid impact parameters [Imax, ] to obtain, and at the same time sort them from small to large according to the start time To, then select the corresponding normal hydropower units based on the total load during the peak period, and start them in the sorting order, and at the same time obtain the power grid load demand, which is the total load during the peak period here, and then obtain the utilization rate of the water head, and judge whether it is necessary to optimize and adjust according to the utilization rate. If optimization and adjustment are required, the gate opening of the reservoir is adjusted, and optimization information is generated at the same time. Otherwise, if optimization and adjustment are not required, normal information is generated, and then the generated optimization information is transmitted to the optimization information output module; for example, by analyzing and calculating the flow-output-water head relationship of the turbine, it is concluded that the current water head utilization rate is 70%, and a reasonable water head utilization rate threshold is set, assuming it is 80%. If the current water head utilization rate is lower than the threshold, it is determined that optimization and adjustment are required. At this time, the water inlet flow of the turbine is changed by adjusting the gate opening of the reservoir, thereby affecting the utilization of the water head. For example, if the current gate opening is 40%, the gate opening is adjusted to 50% based on calculation and experience.

[0060] Optimize the hydropower units during the off-peak period, collect the load curve of the power grid during the off-peak period, clarify the start and end time of the off-peak period, the minimum load value and its duration, and perform the same processing and analysis on the off-peak period based on the processing method of the peak period to generate optimization information, which is then transmitted to the optimization information output module.

[0061] The optimization information output module is used to display the acquired optimization information to the corresponding operator.

[0062] Embodiment 3, as the third embodiment of the present invention, focuses on combining the implementation processes of Embodiment 1 and Embodiment 2.

[0063] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0064] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A system for optimizing the operation mode of a hydropower unit, characterized in that: include: The hydropower unit acquisition module is used to acquire the hydropower unit and its basic information, and transmit the acquired hydropower unit and its basic information to the hydropower unit status analysis module; The hydropower unit status analysis module is used to analyze the acquired basic information, calculate the unit efficiency of the hydropower unit based on the basic information, and identify the working state of the hydropower unit according to the unit efficiency to obtain a normal state signal and an abnormal state signal, transmit the generated normal state signal to the normal operation processing module, and transmit the generated abnormal state signal to the abnormal operation analysis module; The operation abnormality analysis module is used to analyze the acquired abnormal state signal, analyze the water consumption rate of the hydropower unit corresponding to the abnormal state signal, and generate corresponding optimization information from the two aspects of water head and unit efficiency; The normal operation processing module is used to analyze the acquired normal state signal, analyze the acquired historical data, and classify the peak period and the off-peak period according to the power consumption. At the same time, the hydropower units in the peak period and the off-peak period are optimized and analyzed to generate optimization information, and then the optimization information is transmitted to the optimization information output module. The specific processing method is as follows: According to the historical data, the corresponding total load during the peak period is obtained, and the duration of the peak period is obtained. Then, all the normally working units are obtained, denoted as o, and o=1, 2, ..., p, where p represents the number of normal hydropower units, and the start-up time To and the grid impact parameters [Imax, ], and Imax represents the transient current impact value, Indicates the voltage fluctuation amplitude value; Similarly, the above analysis method is used for all normal hydropower unit start-up time To and grid impact parameters [Imax, ] to obtain, and at the same time sort them from small to large according to the start time To, then select the corresponding normal hydropower units based on the total load in the peak period, and start them in the sorted order, and at the same time obtain the power grid load demand, then obtain the utilization rate of the water head, and judge whether it is necessary to optimize and adjust according to the utilization rate. If optimization and adjustment are needed, adjust the gate opening of the reservoir, and generate optimization information at the same time. Otherwise, if optimization and adjustment are not needed, generate normal information, and then transmit the generated optimization information to the optimization information output module; The calculation of transient current impact value Imax is as follows: obtain the no-load electromotive force E of the motor, which is determined according to the rated parameters of the motor, and obtain the direct-axis synchronous reactance Xd of the motor, which can be obtained from the technical parameter manual of the motor, or measured by the short-circuit test of the motor, and substitute the obtained parameters into the formula The transient current impact value Imax is calculated; Voltage fluctuation amplitude The calculation is: Get the motor starting current I start , and at the same time obtain the equivalent reactance of the power grid and record it as X grid , then substitute the obtained parameters into Calculate the voltage fluctuation amplitude ; The optimization information output module is used to display the acquired optimization information to the corresponding operator.

2. The optimization system for the operation mode of a hydropower unit according to claim 1, characterized in that: The specific method in which the hydropower unit state analysis module identifies the working state of the hydropower unit is: Obtain all hydropower units and label them as i, where i=1, 2, …, j, where j represents the number of hydropower units. Obtain the transmission current I and transmission voltage U corresponding to hydropower unit i, and calculate the transmission power Pi corresponding to hydropower unit i according to the formula P=U×I. Then obtain the water head Hi and water flow Qi of hydropower unit i, and substitute the obtained parameters into the formula The input water power Pi1 corresponding to the hydropower unit i is calculated, where is the density of water, g is the acceleration of gravity, and the unit efficiency Xi of the hydropower unit i is calculated based on the transmission power Pi and the input water power Pi1, and the specific calculation formula is ; The calculated unit efficiency Xi of the hydropower unit i is compared with the preset value Xy. If the unit efficiency Xi is greater than the preset value Xy, a normal state signal is generated. Otherwise, if the unit efficiency Xi is less than the preset value Xy, an abnormal state signal is generated.

3. The optimization system for the operation mode of a hydropower unit according to claim 1, characterized in that: The specific method in which the operation abnormality analysis module analyzes the acquired state abnormality signal is as follows: The hydropower unit corresponding to the abnormal state signal is obtained and recorded as abnormal hydropower unit a, and a=1, 2, ..., n, where n represents the number of abnormal hydropower units. At the same time, the flow unit Qa of the turbine of abnormal hydropower unit a and the output power Pa of abnormal hydropower unit a are obtained, and the obtained parameters are substituted into the formula Calculate the water consumption rate q corresponding to the abnormal hydropower unit a a Then the calculated water consumption rate q a With the threshold q y The water consumption regulation signal or the unit efficiency regulation signal is obtained by comparison, and the two are analyzed.

4. The optimization system for the operation mode of a hydropower unit according to claim 1, characterized in that: The specific method in which the abnormal operation analysis module analyzes the water consumption adjustment signal and the unit efficiency adjustment signal is: Analyze the generated water consumption adjustment signal to obtain the current water head and the water head value under normal conditions, and adjust the current water head based on the water head value under normal conditions, and generate optimization information; The generated unit efficiency adjustment signal is analyzed to obtain the unit load of the abnormal hydropower unit, the efficiency curve of the abnormal hydropower unit is obtained, and the maximum efficiency of the abnormal hydropower unit is determined. At the same time, the unit efficiency of the abnormal hydropower unit is adjusted at the highest efficiency to generate optimization information.

5. The optimization system for the operation mode of a hydropower unit according to claim 1, characterized in that: The specific method in which the normal operation processing module analyzes the normal status signal is as follows: Obtain historical data and the power consumption in a unit time period, and then obtain all power consumption within 24 hours, and classify the time periods according to the power consumption to obtain peak time periods and valley time periods; The electricity consumption in a unit time period is obtained, and the electricity consumption is compared with the preset value. If the electricity consumption is greater than the preset value, the corresponding time period is classified as a peak period. Otherwise, if the electricity consumption is less than the preset value, the corresponding time period is classified as a valley period. The hydropower units corresponding to the peak period and valley period are optimized and analyzed to obtain optimization information.

6. The optimization system for the operation mode of a hydropower unit according to claim 1, characterized in that: The specific method of optimizing and analyzing the hydropower units during the off-peak period by the normal operation processing module is as follows: Collect the load curve of the power grid during the low load period, clarify the start and end time of the low load period, the minimum load value and its duration, and perform the same processing and analysis on the low load period based on the processing method of the peak period to generate optimization information, which is then transmitted to the optimization information output module.

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