CN114884140A - Optimal control method and system for frequency modulation performance of hydroelectric generating set - Google Patents
Optimal control method and system for frequency modulation performance of hydroelectric generating set Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/48—Controlling the sharing of the in-phase component
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- H02J3/241—The oscillation concerning frequency
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The application relates to a method and a system for optimizing and controlling frequency modulation performance of a hydroelectric generating set, wherein real-time operation power data of the current hydroelectric generating set in a first specific time period preset before the current time and the current time are sequentially acquired at the current time, and when the working state of the current hydroelectric generating set corresponding to the real-time operation power data is judged to be normal, current normal operation power variation data are generated according to the real-time operation power data; judging whether the current actual power is normal or not, and if so, generating power variation trend data at the current moment; judging whether the power variation trend data at the current moment is matched with the current normal operation power variation data or not, and if yes, generating a continuous working instruction; and if the judgment result shows that the frequency modulation data are not matched, generating a frequency modulation preparation instruction. The invention realizes accurate preparation, provides accurate control for subsequent frequency modulation, and further greatly improves the production efficiency, the timeliness of frequency modulation and the performance of frequency modulation optimization.
Description
Technical Field
The application relates to the technical field of unit allocation optimization, in particular to a method and a system for optimally controlling frequency modulation performance of a hydroelectric generating set.
Background
The water turbine is a power device which converts water flow energy into rotary mechanical energy and drives a generator to rotate to generate electric energy. The water turbine and the generator are connected together to be called a water turbine generator set, which is called a hydroelectric generating set for short; the hydroelectric generating set is the core equipment of a hydropower station. The arrangement modes of the water turbine generator set are different, and the water turbine generator set comprises a vertical type, a horizontal type and an inclined type. The water turbine generator set of the horizontal device is mostly suitable for small-sized sets and partial medium-sized bucket sets; the hydroelectric generating set of the oblique type device is mainly suitable for open trough tubular turbine type, siphon tubular turbine type and other types of small hydroelectric generating sets with low water heads; most of medium-speed and low-speed large and medium-sized water turbine generator sets adopt a vertical device mode. The hydroelectric generating sets of rural small hydropower stations are connected between the main shafts of the water turbines and the main shafts of the generators through gears, friction wheels and belt transmission, and most hydroelectric generating sets adopt a device form that the main shafts of the water turbines and the main shafts of the generators are directly connected.
The hydroelectric generating set is in the operation process, the control process is vital, specifically, the control process includes but is not limited to a frequency modulation optimization function, when an electric power system receives external influence, load changes can be caused, the power grid frequency sometimes exceeds the normal required frequency, the power of the hydroelectric generating set can also be caused to change, and then the hydroelectric generating set needs to be subjected to frequency modulation, but the frequency modulation on the market at present is troublesome, mostly manual frequency modulation is performed, and the frequency modulation is performed after the power is too high, so that the problem that the frequency modulation is not timely and inaccurate is caused.
Disclosure of Invention
Therefore, in order to solve the technical problems, it is necessary to provide a method and a system for optimally controlling the frequency modulation performance of a hydroelectric generating set, which can improve the data processing efficiency.
The technical scheme of the invention is as follows:
a method for optimizing and controlling frequency modulation performance of a hydroelectric generating set comprises the following steps:
acquiring real-time operation power data of a current hydroelectric generating set in a preset first specific time period before the current time at the current moment, wherein the current time and the current moment have a plurality of data acquisition moments in the preset first specific time period before the current moment, each data acquisition moment corresponds to one real-time operation power, the current moment corresponds to the current actual power, and each real-time operation power is combined to generate the real-time operation power data; when the working state of the current hydroelectric generating set corresponding to the real-time operation power data is judged to be normal, generating current normal operation power variation data according to the real-time operation power data; judging whether the current actual power is normal or not, if so, generating power variation trend data at the current moment according to the current actual power and the real-time operation power; judging whether the power variation trend data at the current moment is matched with the current normal operation power variation data or not, and if yes, generating a continuous working instruction; and if the judgment result shows that the frequency modulation preparation instruction is not matched, generating a frequency modulation preparation instruction, sending the frequency modulation preparation instruction to the current hydroelectric generating set, and controlling the current hydroelectric generating set to carry out frequency modulation preparation.
More specifically, when it is determined that the working state of the current hydroelectric generating set corresponding to the real-time operation power data is normal, current normal operation power variation data is generated according to the real-time operation power data, and the method specifically includes:
respectively generating near power variation trend values according to the real-time running power of the adjacent data acquisition moments; respectively acquiring preset trend analysis branch time periods, wherein the number of the trend analysis branch time periods is multiple; respectively generating interval power variation trend values according to the data acquisition moments and the trend analysis branch time periods, wherein one interval power variation trend value is generated correspondingly at one data acquisition moment and one trend analysis branch time; generating a first power variation trend range according to each adjacent power variation trend value; generating a second power variation trend range according to each interval power variation trend value; and generating current normal operation power variation data according to the first power variation trend range and the second power variation trend range.
More specifically, whether the current actual power is normal is judged, and if yes, power variation trend data at the current moment are generated according to the current actual power and the real-time running power; the method specifically comprises the following steps:
judging whether the current actual power belongs to a preset standard normal working power range or not; if yes, calling a current frequency modulation optimization grade, wherein the current frequency modulation optimization grade is preset by hydroelectric generating set operation and maintenance personnel; generating a current trend value analysis weight according to the current frequency modulation optimization grade, wherein the current trend value analysis weight comprises data acquisition quantity and data acquisition time interval; generating a plurality of current actual power trend values according to the data acquisition quantity and the data acquisition time interval; and generating power variation trend data at the current moment according to the current actual power trend values.
More specifically, judging whether the power variation trend data at the current moment is matched with the current normal operation power variation data, and if the current power variation trend data is matched with the current normal operation power variation data, generating a continuous working instruction; if the judgment result shows that the frequency modulation preparation instruction is not matched, generating a frequency modulation preparation instruction, sending the frequency modulation preparation instruction to the current hydroelectric generating set, controlling the current hydroelectric generating set to carry out frequency modulation preparation, and then further comprising:
acquiring the actual working power of the current hydroelectric generating set after frequency modulation; judging whether the actual working power after frequency modulation is normal or not according to the actual working power after frequency modulation and the current normal operation power variation data; if the actual working power after frequency modulation is judged to be normal, acquiring the initial timing time of the frequency modulation preparation instruction of the current hydroelectric generating set, wherein the time for judging the actual working power after frequency modulation to be normal is the time for terminating timing; generating current frequency modulation actual time according to the initial timing time and the termination timing time; comparing the current frequency modulation actual time with preset expected frequency modulation feedback time, and generating a current frequency modulation time difference value; and sending the current frequency modulation time difference value to a hydroelectric generating set operation and maintenance worker, acquiring actual feedback information of the hydroelectric generating set operation and maintenance worker, and generating a current frequency modulation development report according to the actual feedback information.
More specifically, the actual feedback information includes text feedback data, voice feedback data, and video feedback data;
and sending the current frequency modulation time difference value to a hydroelectric generating set operation and maintenance personnel, acquiring actual feedback information of the hydroelectric generating set operation and maintenance personnel, generating a current frequency modulation development report according to the actual feedback information, and then further comprising:
extracting first unsatisfactory feedback data according to the text feedback data; extracting second unsatisfactory feedback data according to the voice feedback data; extracting third unsatisfactory feedback data according to the video feedback data; extracting unit frequency modulation optimization data in the first unsatisfactory feedback data, the second unsatisfactory feedback data and the third unsatisfactory feedback data; and generating a unit overhaul instruction according to the unit frequency modulation optimization data, and sending the unit overhaul instruction to a unit manufacturer manager.
More specifically, a method and a system for optimizing and controlling frequency modulation performance of a hydroelectric generating set, wherein the system comprises:
the data acquisition module is used for acquiring real-time operation power data of the current hydroelectric generating set in a preset first specific time period before the current time at the current moment, wherein the current time and the current moment have a plurality of data acquisition moments in the preset first specific time period before the current moment, each data acquisition moment corresponds to one real-time operation power, the current moment corresponds to the current actual power, and each real-time operation power is combined to generate the real-time operation power data;
the data change module is used for generating current normal operation power change data according to the real-time operation power data when the working state of the current hydroelectric generating set corresponding to the real-time operation power data is judged to be normal;
the trend generating module is used for judging whether the current actual power is normal or not, and if so, generating power variation trend data at the current moment according to the current actual power and the real-time running power;
the allocation preparation module is used for judging whether the power variation trend data at the current moment is matched with the current normal operation power variation data or not, and if yes, generating a continuous working instruction; and if the judgment result shows that the frequency modulation preparation instruction is not matched, generating a frequency modulation preparation instruction, sending the frequency modulation preparation instruction to the current hydroelectric generating set, and controlling the current hydroelectric generating set to carry out frequency modulation preparation.
More specifically, the data change module is further configured to:
respectively generating near power variation trend values according to the real-time running power of the adjacent data acquisition moments; respectively acquiring preset trend analysis branch time periods, wherein the number of the trend analysis branch time periods is multiple; respectively generating interval power variation trend values according to the data acquisition moments and the trend analysis branch time periods, wherein one interval power variation trend value is generated correspondingly at one data acquisition moment and one trend analysis branch time; generating a first power variation trend range according to each adjacent power variation trend value; generating a second power variation trend range according to each interval power variation trend value; generating current normal operation power variation data according to the first power variation trend range and the second power variation trend range;
the trend generation module is to:
judging whether the current actual power belongs to a preset standard normal working power range or not; if the frequency modulation optimization level is judged to be the current frequency modulation optimization level, calling the current frequency modulation optimization level, wherein the current frequency modulation optimization level is preset by the hydroelectric generating set operation and maintenance personnel; generating a current trend value analysis weight according to the current frequency modulation optimization grade, wherein the current trend value analysis weight comprises data acquisition quantity and data acquisition time interval; generating a plurality of current actual power trend values according to the data acquisition quantity and the data acquisition time interval; and generating power variation trend data at the current moment according to each current actual power trend value.
More specifically, the system further comprises a power determination module and a chirp feedback module, the power determination module being configured to:
acquiring the actual working power of the current hydroelectric generating set after frequency modulation; judging whether the actual working power after frequency modulation is normal or not according to the actual working power after frequency modulation and the current normal operation power variation data; if the actual working power after frequency modulation is judged to be normal, acquiring the initial timing time of the frequency modulation preparation instruction of the current hydroelectric generating set, wherein the time for judging the actual working power after frequency modulation to be normal is the time for terminating timing; generating current frequency modulation actual time according to the initial timing time and the termination timing time; comparing the current frequency modulation actual time with preset expected frequency modulation feedback time, and generating a current frequency modulation time difference value; and sending the current frequency modulation time difference value to a hydroelectric generating set operation and maintenance worker, acquiring actual feedback information of the hydroelectric generating set operation and maintenance worker, and generating a current frequency modulation development report according to the actual feedback information.
The frequency modulation feedback module is used for:
extracting first unsatisfactory feedback data according to the text feedback data; extracting second unsatisfactory feedback data according to the voice feedback data; extracting third unsatisfactory feedback data according to the video feedback data; extracting unit frequency modulation optimization data in the first unsatisfactory feedback data, the second unsatisfactory feedback data and the third unsatisfactory feedback data; and generating a unit overhaul instruction according to the unit frequency modulation optimization data, and sending the unit overhaul instruction to a unit manufacturer manager.
More specifically, the computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method for optimally controlling the frequency modulation performance of the hydroelectric generating set when executing the computer program.
More specifically, a computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, implements the steps of the method for optimal control of the frequency modulation performance of a hydroelectric generating set as described above.
The invention has the following technical effects:
the method and the system for optimizing and controlling the frequency modulation performance of the hydroelectric generating set sequentially acquire real-time running power data of the hydroelectric generating set in a preset first specific time period before the current time at the current moment, wherein the current time and the current moment have a plurality of data acquisition moments in the preset first specific time period before the current moment, each data acquisition moment corresponds to one real-time running power, the current moment corresponds to the current actual power, and each real-time running power is combined to generate the real-time running power data; when the working state of the current hydroelectric generating set corresponding to the real-time operation power data is judged to be normal, generating current normal operation power variation data according to the real-time operation power data; judging whether the current actual power is normal or not, if so, generating power variation trend data at the current moment according to the current actual power and the real-time operation power; judging whether the power variation trend data at the current moment is matched with the current normal operation power variation data or not, and if yes, generating a continuous working instruction; if the judgment result is not matched, a frequency modulation preparation instruction is generated, and the frequency modulation preparation instruction is sent to the current hydroelectric generating set and used for controlling the current hydroelectric generating set to carry out frequency modulation preparation.
Drawings
Fig. 1 is a schematic flow chart of a method for optimally controlling the frequency modulation performance of a hydroelectric generating set in one embodiment;
fig. 2 is a structural block diagram of a hydroelectric generating set frequency modulation performance optimization control method and system in one embodiment;
FIG. 3 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, the method for optimizing and controlling frequency modulation performance of a hydroelectric generating set according to the present application can be applied to an application scenario, where the application scenario includes a current hydroelectric generating set and a data analysis terminal, a state monitoring device capable of detecting current and voltage data of the hydroelectric generating set is self-configured in the current hydroelectric generating set, and then the detected current and voltage data of the hydroelectric generating set is sent to the data analysis terminal through the state monitoring device, the data analysis terminal obtains real-time operating power data of the current hydroelectric generating set in a first specific time period preset before the current time and the current time at the current time, where the current time and the current time have a plurality of data acquisition times in the first specific time period preset before the current time, each data acquisition time corresponds to a real-time operating power, and the current time corresponds to a current actual power, the real-time operation power data are generated by combining the real-time operation powers; when the working state of the current hydroelectric generating set corresponding to the real-time operation power data is judged to be normal, generating current normal operation power variation data according to the real-time operation power data; judging whether the current actual power is normal or not, if so, generating power variation trend data at the current moment according to the current actual power and the real-time operation power; judging whether the power variation trend data at the current moment is matched with the current normal operation power variation data or not, and if yes, generating a continuous working instruction; and if the judgment result shows that the frequency modulation preparation instruction is not matched, generating a frequency modulation preparation instruction, sending the frequency modulation preparation instruction to the current hydroelectric generating set, and controlling the current hydroelectric generating set to carry out frequency modulation preparation.
The data analysis terminal can be, but is not limited to, various personal computers, notebook computers, smart phones and tablet computers.
In one embodiment, as shown in fig. 1, there is provided a method for optimally controlling frequency modulation performance of a hydroelectric generating set, the method including:
step S100: acquiring real-time operation power data of a current hydroelectric generating set in a preset first specific time period before the current time at the current moment, wherein the current time and the current moment have a plurality of data acquisition moments in the preset first specific time period before the current moment, each data acquisition moment corresponds to one real-time operation power, the current moment corresponds to the current actual power, and each real-time operation power is combined to generate the real-time operation power data;
in this step, time T1, time T2, time T3, and time T4.. time Tn are time-series examples, and each of the data acquisition times, time T1, time T2, time T3, and time T4.. time Tn corresponds to one real-time operating power. Then, time T1, time T2, time T3, and time T4.. time Tn are all already occurring times, the current time is denoted by Tx, and the power corresponding to Tx at the current time is: the current actual power.
Then the real-time operating power data is generated by combining the real-time operating power corresponding to the time T1, the time T2, the time T3, and the time T4.
Furthermore, the real-time operation power data is used for representing the actual operation state of the hydroelectric generating set in a time period before the current moment, so that the actual operation state can be fed back through the real-time operation power data and the specific data, and the operation state is generated based on the actual operation state.
Step S200: when the working state of the current hydroelectric generating set corresponding to the real-time operation power data is judged to be normal, generating current normal operation power variation data according to the real-time operation power data;
in this step, it is determined whether the current operating state of the hydroelectric generating set corresponding to the real-time operating power data is normal, specifically, a combination of machine determination and manual determination is determined. The machine judgment adopts a mode that whether the current hydro-power generating unit normally works or not is detected by arranging a plurality of sensors such as a current detection circuit, an over-current detection circuit and a yield output detection circuit in the current hydro-power generating unit, and then manual check and calibration are carried out, so that the real-time operation power data is further processed when the working state of the current hydro-power generating unit corresponding to the real-time operation power data is judged to be normal through a combined judgment method, on one hand, the accuracy of the generated data is improved, namely, the accuracy of the generated current normal operation power change data is improved, on the other hand, the high-efficiency data processing is realized, namely, the high-efficiency distribution and energy-saving distribution of data processing resources are realized, and once the working state is abnormal, the subsequent data processing is not needed, that is, the current normal operation power variation data does not need to be generated according to the real-time operation power data, so that the data of the current normal operation power variation data is accurate and efficient.
Furthermore, the current normal operation power variation data reflects the power variation data of the current hydroelectric generating set in the normal operation state, that is, represents the reasonable power variation in the normal operation state.
Step S300: judging whether the current actual power is normal or not, if so, generating power variation trend data at the current moment according to the current actual power and the real-time operation power;
further, in this step, it is determined whether the current actual power is normal, that is, before analyzing the power data at the current time, a preliminary determination is performed, and the specific determination step is to compare the normal working power with a preset standard to further achieve the determination. Through setting up the normal operating power of standard, realized initial simple data and judged, nevertheless unnecessary calculation can be avoided to this judgement step, if in case find that current actual power is unusual, how explain this moment current hydroelectric generating set breaks down or is unusual, directly need not carry out the frequency modulation this moment, but carries out the troubleshooting, then through this step this moment, has stopped current frequency modulation optimization step, and then realizes the function of sparingly calculating the resource.
That is, when the current actual power is determined to be abnormal, a fault detection indication is generated, and whether the current actual power works normally or not is efficiently and accurately determined. And if so, generating current-time power variation trend data according to the current actual power and the real-time running power, wherein the current-time power variation trend data is generated based on the current time and is used for representing the variation condition between the current-time power data and the previous power data in the normal working state, so that accurate comparison and frequency modulation optimization can be conveniently realized subsequently.
Step S400: judging whether the power variation trend data at the current moment is matched with the current normal operation power variation data or not, and if yes, generating a continuous working instruction; and if the judgment result shows that the frequency modulation preparation instruction is not matched, generating a frequency modulation preparation instruction, sending the frequency modulation preparation instruction to the current hydroelectric generating set, and controlling the current hydroelectric generating set to carry out frequency modulation preparation.
Further, in this step, it is determined whether the current time power variation trend data matches the current normal operation power variation data, and if the current time power variation trend data matches the current normal operation power variation data, a continuous operation instruction is generated, and the operation is normal. And then, if the power variation trend data at the current moment is not matched with the current normal operation power variation data, generating a frequency modulation preparation instruction, and sending the frequency modulation preparation instruction to the current hydroelectric generating set and controlling the current hydroelectric generating set to perform frequency modulation preparation. When the judgment is not matched, the working state at the moment is that the power change trend has a problem, but is within a normal working range, the power is increased or reduced possibly due to electric power influence or natural component calculation, at the moment, optimization can be carried out through frequency modulation, and at the moment, preparation is firstly carried out, namely, the frequency modulation preparation instruction is sent to the current hydroelectric generating set and is used for controlling the current hydroelectric generating set to carry out frequency modulation preparation.
Furthermore, the real-time running power data of the current hydroelectric generating set in a preset first specific time period before the current time is obtained, and then after multiple basic judgments are carried out, under the condition that the working state is normal, the power variation trend of the current time is analyzed, so that the frequency modulation preparation under the condition that the working state is normal is accurately realized, the accurate preparation is realized, accurate control is provided for follow-up frequency modulation, and the production efficiency, the timeliness of the frequency modulation and the performance of the frequency modulation optimization are greatly improved.
In one embodiment, step S200: when the working state of the current hydroelectric generating set corresponding to the real-time operation power data is judged to be normal, current normal operation power variation data is generated according to the real-time operation power data, and the method specifically comprises the following steps:
step S210: respectively generating near power variation trend values according to the real-time running power of the adjacent data acquisition moments;
step S220: respectively acquiring preset trend analysis branch time periods, wherein the number of the trend analysis branch time periods is multiple;
step S230: respectively generating interval power variation trend values according to the data acquisition moments and the trend analysis branch time periods, wherein one interval power variation trend value is generated correspondingly at one data acquisition moment and one trend analysis branch time;
step S240: generating a first power variation trend range according to each adjacent power variation trend value;
step S250: generating a second power variation trend range according to each interval power variation trend value;
step S260: and generating current normal operation power variation data according to the first power variation trend range and the second power variation trend range.
Further, in this step, in order to accurately calculate the power variation trend, it is further required to calculate an increase rate between real-time operating powers corresponding to adjacent data acquisition times, specifically, the adjacent power variation trend value is a slope between the two, and the power variation is represented by a slope value. In this case, the generated near power fluctuation trend value is the basic fluctuation data.
Further, taking the data collection times as time T1, time T2, time T3, and time T4.. time Tn, as an example, time T1 and time T2; time T2 and time T3; the time T3 and the time T4.. the time Tn-1 and the time Tn can respectively generate an adjacent power variation trend value correspondingly, and then the basic representation power variation trend is realized through a plurality of the adjacent power variation trend values.
Then, through a preset trend analysis branch time period, more detailed division of power variation trend expression is realized, specifically, the time interval of the trend analysis branch time period is an integral multiple of the time interval between adjacent data acquisition moments. For example, the trend analysis branch time period is two times, three times or four times of the time interval between the adjacent data acquisition moments.
In addition, the number of the trend analysis branch time periods is multiple, that is, the trend analysis branch time period corresponding to one data acquisition time is multiple, specifically, the trend analysis branch time period corresponding to one data acquisition time is respectively two times, three times, four times, and five times of the time interval between the adjacent data acquisition times, and then is sequentially increased. For example, taking the data acquisition times as time T1, time T2, time T3, and time T4.. time Tn, for example, for time T1, when the trend analysis branch time period is twice the time interval between the data acquisition times, the first interval power variation trend value generated at this time is generated based on the real-time operating power corresponding to time T1 and time T3.
Then, when the trend analysis branch time period corresponding to the time T1 is three times the time interval between the data collection times, in this case, the intermittent power fluctuation tendency value is generated based on the real-time operating power corresponding to the time T1 and the time T4, and so on, and a plurality of the intermittent power fluctuation tendency values are generated respectively, it is thereby achieved that the interval power fluctuation tendency value generated based on the tendency analysis branch time period, and then through the generation of the interval power variation trend value, the data representation of the power variation trend which is efficient, fast and different from the adjacent power variation trend value is realized.
Further, in order to accurately generate the current normal operation power variation data, a power variation trend is represented more accurately, and a first power variation trend range is generated according to each adjacent power variation trend value; then, generating a second power variation trend range according to each interval power variation trend value; and finally, generating current normal operation power variation data according to the first power variation trend range and the second power variation trend range, specifically combining the first power variation trend range and the second power variation trend range to obtain the power variation under the normal working state in a high-precision and wide-range manner.
In one embodiment, step S300: judging whether the current actual power is normal or not, if so, generating power variation trend data at the current moment according to the current actual power and the real-time operation power; the method specifically comprises the following steps:
step S310: judging whether the current actual power belongs to a preset standard normal working power range or not; if the frequency modulation optimization level is judged to be the current frequency modulation optimization level, calling the current frequency modulation optimization level, wherein the current frequency modulation optimization level is preset by the hydroelectric generating set operation and maintenance personnel;
step S320: generating a current trend value analysis weight according to the current frequency modulation optimization grade, wherein the current trend value analysis weight comprises data acquisition quantity and data acquisition time interval;
step S330: generating a plurality of current actual power trend values according to the data acquisition quantity and the data acquisition time interval;
step S340: and generating power variation trend data at the current moment according to the current actual power trend values.
Further, in this step, in order to prevent redundant budget of subsequent data, data processing resources are saved, and then whether the current actual power belongs to a preset standard normal operating power range is determined; if the frequency modulation optimization level is judged to be yes, the current frequency modulation optimization level is called, wherein the current frequency modulation optimization level is preset by the hydroelectric generating set operation and maintenance personnel.
In order to achieve frequency modulation optimization more matched with requirements, the current frequency modulation optimization grade set by the hydroelectric generating set operation and maintenance personnel is called, data analysis under different requirements is achieved by setting the current frequency modulation optimization grade, compatibility is achieved, and matching frequency modulation optimization is met.
In addition, the current frequency modulation optimization levels are respectively one level, two levels, three levels and four levels, so that each level corresponds to a different generated current trend value analysis weight, and after the generated current trend value analysis weight is generated, the data acquisition quantity and the data acquisition time interval corresponding to the current frequency modulation optimization level are different, wherein the data acquisition quantity is the quantity of the corresponding generated current actual power trend value, the data acquisition time interval is the set acquisition interval when the current actual power trend value is generated, for example, the data acquisition quantity corresponding to one level is 2, and the corresponding data acquisition time interval is three times of the time interval between the adjacent data acquisition moments, so as to generate the current actual power trend value, and then, in order to acquire the actual power variation, and generating power variation trend data at the current moment according to the current actual power trend values.
Therefore, in this embodiment, through the current frequency modulation optimization level, the current trend value analysis weight, and the corresponding relationship between the data acquisition quantity and the data acquisition time interval, the on-demand generation of the current-time power variation trend data is further realized, and further, on the basis of realizing more accuracy and more refinement, the data generation more meeting the user-defined requirement is realized, so that the power coordination requirements under different application scenes can be met, and further, the more intelligent and humanized frequency modulation optimization is realized.
In one embodiment, step S400: judging whether the power variation trend data at the current moment is matched with the current normal operation power variation data or not, and if yes, generating a continuous working instruction; if the judgment result shows that the frequency modulation preparation instruction is not matched, generating a frequency modulation preparation instruction, sending the frequency modulation preparation instruction to the current hydroelectric generating set, controlling the current hydroelectric generating set to carry out frequency modulation preparation, and then further comprising:
step S510: acquiring the actual working power of the current hydroelectric generating set after frequency modulation;
step S520: judging whether the actual working power after frequency modulation is normal or not according to the actual working power after frequency modulation and the current normal operation power variation data;
step S530: if the actual working power after frequency modulation is judged to be normal, acquiring the initial timing time of the frequency modulation preparation instruction of the current hydroelectric generating set, wherein the time for judging the actual working power after frequency modulation to be normal is the time for terminating timing;
step S540: generating current frequency modulation actual time according to the initial timing time and the termination timing time;
step S550: comparing the current frequency modulation actual time with preset expected frequency modulation feedback time, and generating a current frequency modulation time difference value;
step S560: and sending the current frequency modulation time difference value to a hydroelectric generating set operation and maintenance worker, acquiring actual feedback information of the hydroelectric generating set operation and maintenance worker, and generating a current frequency modulation development report according to the actual feedback information.
Further, in the step, in order to meet the time requirement for frequency modulation optimization of intelligentized and complex personnel, the actual working power of the current hydroelectric generating set after frequency modulation is obtained firstly; then, judging whether the actual working power after frequency modulation is normal or not according to the actual working power after frequency modulation and the current normal operation power variation data; then, if the actual working power after frequency modulation is judged to be normal, acquiring initial timing time of the frequency modulation preparation instruction of the current hydroelectric generating set, wherein the time for judging the actual working power after frequency modulation to be normal is end timing time, at the moment, the acquired current frequency modulation actual time is complete time from the discovery of the whole frequency modulation optimization to the completion of frequency modulation, and then, in order to realize the comparison between an expected value and an actual value required for time, the current frequency modulation actual time is compared with preset expected frequency modulation feedback time, and a difference value of the current frequency modulation time is generated; and then, the current frequency modulation time difference value is sent to the operation and maintenance personnel of the hydroelectric generating set, actual feedback information of the operation and maintenance personnel of the hydroelectric generating set is obtained, and a current frequency modulation development report is generated according to the actual feedback information, wherein the current frequency modulation development report is used for displaying to the operation and maintenance personnel in an interface or mail mode, so that more humanized and visual data display is realized, and the use requirements and the use habits of users are met.
In one embodiment, the actual feedback information includes text feedback data, voice feedback data, and video feedback data;
step S560: and sending the current frequency modulation time difference value to a hydroelectric generating set operation and maintenance personnel, acquiring actual feedback information of the hydroelectric generating set operation and maintenance personnel, generating a current frequency modulation development report according to the actual feedback information, and then further comprising:
step S610: extracting first unsatisfactory feedback data according to the text feedback data;
step S620: extracting second unsatisfactory feedback data according to the voice feedback data;
step S630: extracting third unsatisfactory feedback data according to the video feedback data;
step S640: extracting unit frequency modulation optimization data in the first unsatisfactory feedback data, the second unsatisfactory feedback data and the third unsatisfactory feedback data;
step S650: and generating a unit overhaul instruction according to the unit frequency modulation optimization data, and sending the unit overhaul instruction to a unit manufacturer manager.
Further, in the step, in order to realize more accurate information feedback and more humanized frequency modulation optimization feedback, first unsatisfactory feedback data is extracted according to the text feedback data; and extracting second unsatisfactory feedback data according to the voice feedback data; then, extracting third unsatisfactory feedback data according to the video feedback data; finally, extracting unit frequency modulation optimization data in the first unsatisfactory feedback data, the second unsatisfactory feedback data and the third unsatisfactory feedback data, wherein when the first unsatisfactory feedback data, the second unsatisfactory feedback data and the third unsatisfactory feedback data are extracted, information extraction is respectively carried out on the text feedback data, the voice feedback data and the video feedback data based on preset keywords, if the keywords are 'unsatisfactory', 'unsuitable', 'not good enough', 'problematic' and 'risky', and furthermore, when unit frequency modulation optimization data in the first unsatisfactory feedback data, the second unsatisfactory feedback data and the third unsatisfactory feedback data are extracted, by means of components which are mentioned in the first unsatisfactory feedback data, the second unsatisfactory feedback data and the third unsatisfactory feedback data and are concerned in a hydroelectric unit with problems, if power part, power detection part and current monitoring table part etc. carry out data and gather based on this type of data, and generate unit frequency modulation optimization data, and then can realize according unit frequency modulation optimization data generates unit maintenance instruction, and will unit maintenance instruction sends to unit manufacturer's managers to on realizing the feedback basis based on personnel, realize the location maintenance of the intelligent part that needs the maintenance, and then guaranteed hydroelectric generating set's normal operating, and guaranteed the steady operation of the basic spare part in follow-up frequency modulation optimization process, compare periodic maintenance among the prior art, realized high accuracy location maintenance more accurately in this embodiment, and still realized intelligent maintenance, promoted the maintenance rate of accuracy, greatly guaranteed hydroelectric generating set's normal maintenance and operation.
Therefore, the method and the system for optimizing and controlling the frequency modulation performance of the hydroelectric generating set sequentially acquire real-time operation power data of the hydroelectric generating set in a preset first specific time period before the current time and the current time at the current moment, wherein the current time and the current time have a plurality of data acquisition moments in the preset first specific time period before the current time, each data acquisition moment corresponds to one real-time operation power, the current time corresponds to the current actual power, and each real-time operation power is combined to generate the real-time operation power data; when the working state of the current hydroelectric generating set corresponding to the real-time operation power data is judged to be normal, generating current normal operation power variation data according to the real-time operation power data; judging whether the current actual power is normal or not, if so, generating power variation trend data at the current moment according to the current actual power and the real-time operation power; judging whether the power variation trend data at the current moment is matched with the current normal operation power variation data or not, and if yes, generating a continuous working instruction; if the judgment result is not matched, a frequency modulation preparation instruction is generated, and the frequency modulation preparation instruction is sent to the current hydroelectric generating set and used for controlling the current hydroelectric generating set to carry out frequency modulation preparation.
In one embodiment, as shown in fig. 2, the present invention provides a method and a system for optimally controlling frequency modulation performance of a hydroelectric generating set, where the system includes:
the data acquisition module is used for acquiring real-time operation power data of the current hydroelectric generating set in a preset first specific time period before the current time at the current moment, wherein the current time and the current moment have a plurality of data acquisition moments in the preset first specific time period before the current moment, each data acquisition moment corresponds to one real-time operation power, the current moment corresponds to the current actual power, and each real-time operation power is combined to generate the real-time operation power data;
the data change module is used for generating current normal operation power change data according to the real-time operation power data when the working state of the current hydroelectric generating set corresponding to the real-time operation power data is judged to be normal;
the trend generating module is used for judging whether the current actual power is normal or not, and if so, generating power variation trend data at the current moment according to the current actual power and the real-time running power;
the allocation preparation module is used for judging whether the power variation trend data at the current moment is matched with the current normal operation power variation data or not, and if the power variation trend data at the current moment is matched with the current normal operation power variation data, generating a continuous working instruction; and if the judgment result shows that the frequency modulation preparation instruction is not matched, generating a frequency modulation preparation instruction, sending the frequency modulation preparation instruction to the current hydroelectric generating set, and controlling the current hydroelectric generating set to carry out frequency modulation preparation.
In one embodiment, the data change module is further configured to:
respectively generating near power variation trend values according to real-time running power of adjacent data acquisition moments; respectively acquiring preset trend analysis branch time periods, wherein the number of the trend analysis branch time periods is multiple; respectively generating interval power variation trend values according to the data acquisition moments and the trend analysis branch time periods, wherein one interval power variation trend value is generated correspondingly at one data acquisition moment and one trend analysis branch time; generating a first power variation trend range according to each adjacent power variation trend value; generating a second power variation trend range according to each interval power variation trend value; generating current normal operation power variation data according to the first power variation trend range and the second power variation trend range;
the trend generation module is to:
judging whether the current actual power belongs to a preset standard normal working power range or not; if the frequency modulation optimization level is judged to be the current frequency modulation optimization level, calling the current frequency modulation optimization level, wherein the current frequency modulation optimization level is preset by the hydroelectric generating set operation and maintenance personnel; generating a current trend value analysis weight according to the current frequency modulation optimization grade, wherein the current trend value analysis weight comprises data acquisition quantity and data acquisition time interval; generating a plurality of current actual power trend values according to the data acquisition quantity and the data acquisition time interval; and generating power variation trend data at the current moment according to the current actual power trend values.
In one embodiment, the system further comprises a power determination module and a chirp feedback module, the power determination module to:
acquiring the actual working power of the current hydroelectric generating set after frequency modulation; judging whether the actual working power after frequency modulation is normal or not according to the actual working power after frequency modulation and the current normal operation power variation data; if the actual working power after frequency modulation is judged to be normal, acquiring the initial timing time of the frequency modulation preparation instruction of the current hydroelectric generating set, wherein the time for judging the actual working power after frequency modulation to be normal is the time for terminating timing; generating current frequency modulation actual time according to the initial timing time and the termination timing time; comparing the current frequency modulation actual time with preset expected frequency modulation feedback time, and generating a current frequency modulation time difference value; and sending the current frequency modulation time difference value to a hydroelectric generating set operation and maintenance worker, acquiring actual feedback information of the hydroelectric generating set operation and maintenance worker, and generating a current frequency modulation development report according to the actual feedback information.
The frequency modulation feedback module is used for:
extracting first unsatisfactory feedback data according to the text feedback data; extracting second unsatisfactory feedback data according to the voice feedback data; extracting third unsatisfactory feedback data according to the video feedback data; extracting unit frequency modulation optimization data in the first unsatisfactory feedback data, the second unsatisfactory feedback data and the third unsatisfactory feedback data; and generating a unit overhaul instruction according to the unit frequency modulation optimization data, and sending the unit overhaul instruction to a unit manufacturer manager.
In one embodiment, as shown in fig. 3, a computer device includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the method for optimally controlling the frequency modulation performance of the hydroelectric generating set when executing the computer program.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for optimal control of the frequency modulation performance of a hydroelectric generating set as described above.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is specific and detailed, but not to be understood as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent application shall be subject to the appended claims.
Claims (10)
1. A method for optimizing and controlling frequency modulation performance of a hydroelectric generating set is characterized by comprising the following steps:
acquiring real-time operation power data of a current hydroelectric generating set in a preset first specific time period before the current time at the current moment, wherein the current time and the current moment have a plurality of data acquisition moments in the preset first specific time period before the current moment, each data acquisition moment corresponds to one real-time operation power, the current moment corresponds to the current actual power, and each real-time operation power is combined to generate the real-time operation power data; when the working state of the current hydroelectric generating set corresponding to the real-time running power data is judged to be normal, generating current normal running power variation data according to the real-time running power data; judging whether the current actual power is normal or not, if so, generating power variation trend data at the current moment according to the current actual power and the real-time operation power; judging whether the power variation trend data at the current moment is matched with the current normal operation power variation data or not, and if yes, generating a continuous working instruction; and if the judgment result shows that the frequency modulation preparation instruction is not matched, generating a frequency modulation preparation instruction, sending the frequency modulation preparation instruction to the current hydroelectric generating set, and controlling the current hydroelectric generating set to carry out frequency modulation preparation.
2. The method for optimizing and controlling frequency modulation performance of the hydroelectric generating set according to claim 1, wherein when it is determined that the real-time operating power data corresponds to a normal operating state of the hydroelectric generating set, generating current normal operating power variation data according to the real-time operating power data, specifically comprising:
respectively generating near power variation trend values according to the real-time running power of the adjacent data acquisition moments; respectively acquiring preset trend analysis branch time periods, wherein the number of the trend analysis branch time periods is multiple; respectively generating interval power variation trend values according to the data acquisition moments and the trend analysis branch time periods, wherein one interval power variation trend value is generated correspondingly at one data acquisition moment and one trend analysis branch time; generating a first power variation trend range according to each adjacent power variation trend value; generating a second power variation trend range according to each interval power variation trend value; and generating current normal operation power variation data according to the first power variation trend range and the second power variation trend range.
3. The method for optimally controlling the frequency modulation performance of the hydroelectric generating set according to claim 2, wherein whether the current actual power is normal or not is judged, and if the current actual power is normal, power variation trend data at the current moment are generated according to the current actual power and the real-time running power; the method specifically comprises the following steps:
judging whether the current actual power belongs to a preset standard normal working power range or not; if the frequency modulation optimization level is judged to be the current frequency modulation optimization level, calling the current frequency modulation optimization level, wherein the current frequency modulation optimization level is preset by the hydroelectric generating set operation and maintenance personnel; generating a current trend value analysis weight according to the current frequency modulation optimization grade, wherein the current trend value analysis weight comprises data acquisition quantity and data acquisition time interval; generating a plurality of current actual power trend values according to the data acquisition quantity and the data acquisition time interval; and generating power variation trend data at the current moment according to the current actual power trend values.
4. The optimal control method for the frequency modulation performance of the hydroelectric generating set according to any one of claims-3, wherein judging whether the power variation trend data at the current moment is matched with the current normal operation power variation data or not, and if the power variation trend data is matched with the current normal operation power variation data, generating a continuous working instruction; if the judgment result shows that the frequency modulation preparation instruction is not matched, generating a frequency modulation preparation instruction, sending the frequency modulation preparation instruction to the current hydroelectric generating set, controlling the current hydroelectric generating set to carry out frequency modulation preparation, and then further comprising:
acquiring the actual working power of the current hydroelectric generating set after frequency modulation; judging whether the actual working power after frequency modulation is normal or not according to the actual working power after frequency modulation and the current normal operation power variation data; if the actual working power after frequency modulation is judged to be normal, acquiring the initial timing time of the frequency modulation preparation instruction of the current hydroelectric generating set, wherein the time for judging the actual working power after frequency modulation to be normal is the time for terminating timing; generating current frequency modulation actual time according to the initial timing time and the termination timing time; comparing the current frequency modulation actual time with preset expected frequency modulation feedback time, and generating a current frequency modulation time difference value; and sending the current frequency modulation time difference value to a hydroelectric generating set operation and maintenance worker, acquiring actual feedback information of the hydroelectric generating set operation and maintenance worker, and generating a current frequency modulation development report according to the actual feedback information.
5. The optimal control method for the frequency modulation performance of the hydroelectric generating set according to claim 4, wherein the actual feedback information comprises text feedback data, voice feedback data and video feedback data;
and sending the current frequency modulation time difference value to a hydroelectric generating set operation and maintenance personnel, acquiring actual feedback information of the hydroelectric generating set operation and maintenance personnel, generating a current frequency modulation development report according to the actual feedback information, and then further comprising:
extracting first unsatisfactory feedback data according to the text feedback data; extracting second unsatisfactory feedback data according to the voice feedback data; extracting third unsatisfactory feedback data according to the video feedback data; extracting unit frequency modulation optimization data in the first unsatisfactory feedback data, the second unsatisfactory feedback data and the third unsatisfactory feedback data; and generating a unit overhaul instruction according to the unit frequency modulation optimization data, and sending the unit overhaul instruction to a unit manufacturer manager.
6. A method and a system for optimizing and controlling frequency modulation performance of a hydroelectric generating set are characterized in that the system comprises:
the data acquisition module is used for acquiring real-time operation power data of the current hydroelectric generating set in a preset first specific time period before the current time at the current moment, wherein the current time and the current moment have a plurality of data acquisition moments in the preset first specific time period before the current moment, each data acquisition moment corresponds to one real-time operation power, the current moment corresponds to the current actual power, and each real-time operation power is combined to generate the real-time operation power data;
the data change module is used for generating current normal operation power change data according to the real-time operation power data when the working state of the current hydroelectric generating set corresponding to the real-time operation power data is judged to be normal;
the trend generating module is used for judging whether the current actual power is normal or not, and if so, generating power variation trend data at the current moment according to the current actual power and the real-time running power;
the allocation preparation module is used for judging whether the power variation trend data at the current moment is matched with the current normal operation power variation data or not, and if the power variation trend data at the current moment is matched with the current normal operation power variation data, generating a continuous working instruction; and if the judgment result shows that the frequency modulation preparation instruction is not matched, generating a frequency modulation preparation instruction, sending the frequency modulation preparation instruction to the current hydroelectric generating set, and controlling the current hydroelectric generating set to carry out frequency modulation preparation.
7. The method and system for optimizing control over frequency modulation performance of a hydroelectric generating set according to claim 6, wherein the data variation module is further configured to:
respectively generating near power variation trend values according to real-time running power of adjacent data acquisition moments; respectively acquiring preset trend analysis branch time periods, wherein the number of the trend analysis branch time periods is multiple; respectively generating interval power variation trend values according to the data acquisition moments and the trend analysis branch time periods, wherein one interval power variation trend value is generated correspondingly at one data acquisition moment and one trend analysis branch time; generating a first power variation trend range according to each adjacent power variation trend value; generating a second power variation trend range according to each interval power variation trend value; generating current normal operation power variation data according to the first power variation trend range and the second power variation trend range;
the trend generation module is to:
judging whether the current actual power belongs to a preset standard normal working power range or not; if the frequency modulation optimization level is judged to be the current frequency modulation optimization level, calling the current frequency modulation optimization level, wherein the current frequency modulation optimization level is preset by the hydroelectric generating set operation and maintenance personnel; generating a current trend value analysis weight according to the current frequency modulation optimization grade, wherein the current trend value analysis weight comprises data acquisition quantity and data acquisition time interval; generating a plurality of current actual power trend values according to the data acquisition quantity and the data acquisition time interval; and generating power variation trend data at the current moment according to each current actual power trend value.
8. The method and the system for optimizing the frequency modulation performance of the hydroelectric generating set according to claim 6, wherein the system further comprises a power determination module and a frequency modulation feedback module, and the power determination module is configured to:
acquiring the actual working power of the current hydroelectric generating set after frequency modulation; judging whether the actual working power after frequency modulation is normal or not according to the actual working power after frequency modulation and the current normal operation power variation data; if the actual working power after frequency modulation is judged to be normal, acquiring the initial timing time of the frequency modulation preparation instruction of the current hydroelectric generating set, wherein the time for judging the actual working power after frequency modulation to be normal is the time for terminating timing; generating current frequency modulation actual time according to the initial timing time and the termination timing time; comparing the current frequency modulation actual time with preset expected frequency modulation feedback time, and generating a current frequency modulation time difference value; and sending the current frequency modulation time difference value to a hydroelectric generating set operation and maintenance personnel, acquiring actual feedback information of the hydroelectric generating set operation and maintenance personnel, and generating a current frequency modulation development report according to the actual feedback information.
The frequency modulation feedback module is used for:
extracting first unsatisfactory feedback data according to the text feedback data; extracting second unsatisfactory feedback data according to the voice feedback data; extracting third unsatisfactory feedback data according to the video feedback data; extracting unit frequency modulation optimization data in the first unsatisfactory feedback data, the second unsatisfactory feedback data and the third unsatisfactory feedback data; and generating a unit overhaul instruction according to the unit frequency modulation optimization data, and sending the unit overhaul instruction to a unit manufacturer manager.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
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