CN118367622B - Detection device and method for electric power engineering - Google Patents
Detection device and method for electric power engineering Download PDFInfo
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Abstract
The application provides a detection device and a detection method for electric power engineering, which are used for determining an identification point of electric power output of a target generator during working condition load balancing through electric power load data, and then determining load decision amounts corresponding to multiple classes of working condition balancing loads; extracting a load fault-tolerant set of a generator in the power engineering through load balancing dispersion, and determining the static compensation degree of the generator in the power engineering during load balancing through the load fault-tolerant set; determining a cross-source overload level according to the difference characteristic sequence and the load balancing quantity of the generator during cross-source switching, and further determining the dynamic loss degree of the generator during operation; and determining a state identification domain when the power equipment bears the load through the static compensation degree and the dynamic loss degree, and finally judging the load bearing state of the power equipment according to the state identification domain. The scheme is based on the judgment of the load bearing state of the power equipment in the detection of the power engineering, and can realize the dynamic load bearing balance of the power equipment in the power engineering under the variable working condition.
Description
Technical Field
The application relates to the technical field of power equipment detection, in particular to a detection device and method for power engineering.
Background
The detection of the power equipment is to detect, evaluate and monitor various equipment in a power system of the power engineering periodically or irregularly so as to ensure the safety, reliability and performance of the equipment, the detection comprises the safety, reliability, performance and other aspects, the potential faults of the equipment are discovered through insulation test, vibration analysis, temperature detection and other means, preventive maintenance is adopted, the shutdown time and maintenance cost are reduced, the detection can also ensure that the equipment accords with the standard and regulation, and the legal and compliance operation of the equipment is ensured; in summary, the detection of the power equipment is a key step for maintaining the stable operation of the power system, and the result can guide the maintenance and management of the equipment, thereby improving the reliability and safety of the power system.
Detection of power engineering refers to periodic or unscheduled evaluation and monitoring of various devices in a power system to ensure safe, reliable and efficient operation of the system; this includes detection of generators, transformers, switching devices, insulators, cables, etc.; the detection content comprises safety detection, reliability evaluation, performance monitoring, preventive maintenance and compliance detection, wherein the detection can discover potential problems as soon as possible, and the preventive maintenance is adopted to ensure that the equipment meets the standard regulation requirement; however, in the existing detection of the power engineering, because the load balance change is caused when the generator performs the source-crossing switching, the load of the motor is excessively heavy in part of the power system, and the load of other generators is relatively light, so that the load capacity of the power equipment in the power engineering, which runs under the variable working condition, is unbalanced, and the efficiency of judging the load bearing state of the power equipment in the power engineering detection is further reduced, so that the problem of how to realize the dynamic load bearing balance of the power equipment in the power engineering, and the efficiency of judging the load bearing state of the power equipment in the power engineering detection is an industry is solved.
Disclosure of Invention
The application provides a detection device and a detection method for power engineering, which can realize dynamic load balancing of power equipment running under variable working conditions in the power engineering, and effectively improve the efficiency of judging the load bearing state of the power equipment in the power engineering detection.
In a first aspect, the present application provides a method for detecting electric power engineering, including the steps of: acquiring power load data of a target generator in a power engineering under a variable working condition running state;
Determining an identification point of power output of a target generator during working condition load balancing, and dividing the power load data according to the identification point to obtain load decision amounts corresponding to multiple classes of working condition balancing loads;
Determining load balancing dispersion according to the load decision quantity and the load balancing stabilizing quantity of the generator during cross-source switching, extracting a load fault-tolerant set of the generator in the power engineering through the load balancing dispersion, and further determining the static compensation degree of the generator in the power engineering during load balancing through the load fault-tolerant set;
Acquiring a difference characteristic sequence of input power of a generator in an overload state in an electric power engineering, determining a cross-source overload level according to the difference characteristic sequence and the load connection stabilizing amount of the generator in cross-source switching, and further determining the dynamic loss degree of the generator in operation according to the cross-source overload level;
And determining a state identification domain when the power equipment bears the load according to the static compensation degree and the dynamic loss degree, and judging the load bearing state of the power equipment according to the state identification domain.
In some embodiments, determining the identification point of the power output of the target generator at the time of the working condition load balancing specifically includes:
Load data of a target generator in working condition load balancing is obtained;
determining a working condition identification tag according to the load data;
and determining the identification points of the power output of the target generator in the working condition load balance through all the working condition identification tags.
In some embodiments, dividing the power load data according to the identification points to obtain load decision-making measures corresponding to the balanced loads of the multiple types of working conditions specifically includes:
Determining variable intervals of multiple working conditions according to the identification points;
placing the power load data in each type of working condition variable interval to obtain a plurality of types of working condition balanced data segments;
selecting a class of working condition balancing data segments to determine a load decision quantity corresponding to a working condition balancing load;
And repeating the selection process to obtain the load decision quantity corresponding to the balance load of the residual working condition.
In some embodiments, determining the load balancing dispersion according to the load decision amount and the load balancing amount of the generator during cross-source switching specifically includes:
obtaining stabilizing data of output power of the motor during cross-source switching;
determining the load bearing stabilizing amount of the motor during cross-source switching according to the stabilizing data;
Extracting load discrete factors during load balancing of the generator according to the load stabilizing amount;
and determining load balancing dispersion according to the load discrete factor and the load decision quantity.
In some embodiments, extracting the load fault tolerance set of the generator in the power engineering through the load balancing dispersion specifically includes:
determining a working condition adjustment margin of the target generator during power output according to the load balancing dispersion;
determining a load fault tolerance factor of the target generator during cross-source switching;
and determining a load fault tolerance set of the generator in the power engineering according to the working condition adjustment margin and the load fault tolerance factor.
In some embodiments, obtaining a differential signature sequence of input power of a generator in an overload state in an electrical power engineering specifically includes:
collecting the variation trend quantity of input power of a generator in an overload state in an electric power engineering;
Determining a power stabilizing value of input power of the generator in an overload state;
And determining a differential characteristic sequence of the input power of the generator in the overload state in the power engineering according to the variation trend quantity and the power stable value.
In some embodiments, the power load data of the target generator in the variable operating condition can be collected in real time through sensors or monitoring devices installed throughout the power system.
In a second aspect, the present application provides a detection apparatus for electric power engineering, including an operation detection unit, the operation detection unit includes:
The acquisition module is used for acquiring power load data of a target generator in the power engineering under a variable working condition running state;
The processing module is used for determining identification points of power output of the target generator during working condition load balancing, and dividing the power load data according to the identification points to obtain load decision amounts corresponding to multiple classes of working condition balancing loads;
The processing module is further used for determining load balancing dispersion according to the load decision quantity and the load balancing stabilizing quantity of the generator during cross-source switching, extracting a load fault-tolerant set of the generator in the power engineering through the load balancing dispersion, and further determining the static compensation degree of the generator in the power engineering during load balancing through the load fault-tolerant set;
the processing module is also used for acquiring a difference characteristic sequence of input power of the generator in an overload state in the power engineering, determining a cross-source overload level according to the difference characteristic sequence and the load connection stabilizing amount of the generator in cross-source switching, and further determining the dynamic loss degree of the generator in operation according to the cross-source overload level;
and the execution module is used for determining a state identification domain when the power equipment bears the load through the static compensation degree and the dynamic loss degree, and further judging the load bearing state of the power equipment according to the state identification domain.
In a third aspect, the present application provides a computer device comprising a memory storing code and a processor configured to obtain the code and to perform the above-described method of detecting electric power engineering.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the above-described method of detecting electric power engineering.
The technical scheme provided by the embodiment of the application has the following beneficial effects:
The application provides a detection device and a detection method of an electric power project, wherein firstly, electric load data of a target generator in the electric power project under a variable working condition running state is obtained; secondly, determining an identification point of power output of a target generator during working condition load balancing, and dividing the power load data according to the identification point to obtain load decision amounts corresponding to multiple classes of working condition balancing loads; then, determining load balancing dispersion according to the load decision quantity and the load balancing stabilizing quantity of the generator during cross-source switching, extracting a load fault-tolerant set of the generator in the power engineering through the load balancing dispersion, and further determining the static compensation degree of the generator in the power engineering during load balancing through the load fault-tolerant set; then, a difference characteristic sequence of input power of a generator in an overload state in the power engineering is obtained, a cross-source overload grade is determined according to the difference characteristic sequence and the load connection stabilizing amount of the generator in cross-source switching, and then the dynamic loss degree of the generator in operation is determined according to the cross-source overload grade; and finally, determining a state identification domain when the power equipment bears the load through the static compensation degree and the dynamic loss degree, and judging the load bearing state of the power equipment according to the state identification domain.
Therefore, the application determines the state identification domain when the power equipment bears the load through the static compensation degree and the dynamic loss degree, further judges the load bearing state of the power equipment according to the state identification domain, can realize the dynamic load receiving balance of the power equipment running under the variable working condition in the power engineering, and improves the efficiency of judging the load bearing state of the power equipment in the power engineering detection.
Drawings
FIG. 1 is an exemplary flow chart of a method of detection of an electrical power project according to some embodiments of the application;
FIG. 2 is a schematic diagram of an exemplary flow for determining a degree of static compensation, according to some embodiments of the application;
FIG. 3 is a schematic diagram of an exemplary flow of determining a cross-source overload level according to some embodiments of the application;
FIG. 4 is a schematic diagram of exemplary hardware and/or software of a run detection unit shown in accordance with some embodiments of the application;
fig. 5 is a schematic structural diagram of a computer device implementing a detection method of power engineering according to some embodiments of the present application.
Detailed Description
The method is characterized by comprising the steps of obtaining power load data of a target generator in a power engineering under a variable working condition running state; determining an identification point of power output of a target generator during working condition load balancing, and dividing the power load data according to the identification point to obtain load decision amounts corresponding to multiple classes of working condition balancing loads; determining load balancing dispersion according to the load decision quantity and the load balancing stabilizing quantity of the generator during cross-source switching, extracting a load fault-tolerant set of the generator in the power engineering through the load balancing dispersion, and further determining the static compensation degree of the generator in the power engineering during load balancing through the load fault-tolerant set; acquiring a difference characteristic sequence of input power of a generator in an overload state in an electric power engineering, determining a cross-source overload level according to the difference characteristic sequence and the load connection stabilizing amount of the generator in cross-source switching, and further determining the dynamic loss degree of the generator in operation according to the cross-source overload level; and determining a state identification domain when the power equipment bears the load according to the static compensation degree and the dynamic loss degree, and judging the load bearing state of the power equipment according to the state identification domain. The scheme is based on the judgment of the load bearing state of the power equipment in the detection of the power engineering, and can realize the dynamic load bearing balance of the power equipment in the power engineering under the variable working condition.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments. Referring to fig. 1, which is an exemplary flowchart of a method of detecting an electrical power project according to some embodiments of the present application, a method 100 of detecting an electrical power project mainly includes the steps of:
in step 101, electrical load data of a target generator in an electrical power engineering under a variable working condition operation state is obtained.
In the specific implementation, the power load data of the target generator in the variable working condition running state can be acquired in real time through sensors or monitoring equipment arranged at all parts of the power system, the sensors or monitoring equipment acquire the voltage, current, frequency and other data of the target generator, and meanwhile, the change condition of the load is recorded, and the power load data represent the real-time load condition of each generator in the power system of the power engineering, including the load condition of each generator, the running parameters of the generator, the load balancing condition of the system, the switching process data of the generator and the like.
It should be noted that, in the present application, each generator load condition represents recording the load of each generator, that is, the power load capacity provided by the generator and the variation trend of the load; generator operation parameters represent the operation parameters of each generator, such as current, voltage, frequency, power factor, etc. are recorded; the system load balancing condition is used for recording the load distribution condition among all the generators in the whole power system and the change condition of the load balancing, including load difference, load unevenness and the like among the generators; the generator switching process data represents process data for recording generator cross-source switching, including switching time, load change conditions before and after switching, and the like.
In addition, the variable working condition running state refers to the condition that the working condition of the power equipment changes in the running process, and the variable working condition running state comprises load change, environmental condition change, power grid condition fluctuation, operation mode change, equipment state change and the like; for example, loads fluctuate between peaks and valleys of electricity usage, environmental temperature changes affect device performance, grid voltage and frequency fluctuations, and devices switch from grid-tie mode to island mode; the monitoring and analysis of the power load data under these conditions is critical to the assessment of the performance and load carrying capacity of the device, ensuring safe and reliable operation of the power system under different conditions.
In step 102, an identification point of power output of the target generator during working condition load balancing is determined, and the power load data is divided according to the identification point, so that load decision amounts corresponding to multiple classes of working condition balancing loads are obtained.
It should be noted that, in the application, since the stability of the power equipment in the power engineering in the running process is affected by the change of the working condition, the power equipment presents different distribution conditions under different working conditions; therefore, in the state, the distribution characteristics of the running state change of the generator under different working conditions are distinguished and analyzed, and the characteristics of hysteresis, discontinuity and the like generated by the stability identification of the generator under the variable working conditions in the power engineering are analyzed, so that the dynamic load balancing of the running of the power equipment under the variable working conditions in the power engineering is realized, and the efficiency of judging the load carrying state of the power equipment in the power engineering detection is improved.
In some embodiments, determining the identification point of the power output of the target generator during the load balancing of the working condition may be achieved by:
Load data of a target generator in working condition load balancing is obtained;
determining a working condition identification tag according to the load data;
and determining the identification points of the power output of the target generator in the working condition load balance through all the working condition identification tags.
In addition, the application is characterized in that the load distribution among all the generators in the power system is reasonable, and the load of all the generators is balanced, namely, the load born by all the generators is relatively uniform and balanced; in the state, each generator in the power system reasonably shares the load of the whole system according to the rated power and the operation capacity of the generator, ensures that each generator operates stably, has no overload, and simultaneously avoids the overload of other generators; the operating condition load balancing is realized, the operating efficiency and stability of the power system can be effectively improved, the risk of overload or idling of equipment is reduced, and the reliable power supply of the power system is ensured. Therefore, the working condition load balancing refers to a state that the load distribution among all the generators in the system is reasonable and the load is balanced.
In some embodiments, the dividing the power load data according to the identification points may be implemented by the following steps to obtain a load decision quantity corresponding to the balanced load of multiple types of working conditions:
Determining variable intervals of multiple working conditions according to the identification points;
placing the power load data in each type of working condition variable interval to obtain a plurality of types of working condition balanced data segments;
selecting a class of working condition balancing data segments to determine a load decision quantity corresponding to a working condition balancing load;
And repeating the selection process to obtain the load decision quantity corresponding to the balance load of the residual working condition.
In step 103, load balancing dispersion is determined according to the load decision quantity and the load balancing quantity of the generator during cross-source switching, a load fault-tolerant set of the generator in the power engineering is extracted through the load balancing dispersion, and then the static compensation degree of the generator in the power engineering during load balancing is determined through the load fault-tolerant set.
It should be noted that, in the power engineering, the cross-source switching of the generator refers to a process of switching the generator from one power source (source) to another power source; such switching typically occurs when the power system needs to switch from one power source to a backup power source, such as when the primary power source fails or requires maintenance or when the demand on the power supply end changes, the generator itself is subject to strain adjustment; the purpose of cross-source switching is to ensure that a power system can continuously supply power, and power supply continuity and stability can be maintained even if a certain power supply fails, so that powerful conditions are provided for realizing dynamic load balance of power equipment under variable working conditions in power engineering, and the efficiency of judging the load bearing state of the power equipment in power engineering detection is improved.
In some embodiments, the load balancing dispersion is determined according to the load decision quantity and the load balancing stabilizing quantity of the generator during cross-source switching, and the method can be realized by adopting the following steps:
obtaining stabilizing data of output power of the motor during cross-source switching;
determining the load bearing stabilizing amount of the motor during cross-source switching according to the stabilizing data;
Extracting load discrete factors during load balancing of the generator according to the load stabilizing amount;
and determining load balancing dispersion according to the load discrete factor and the load decision quantity.
In some embodiments, the load balancing dispersion is used for extracting a load fault tolerance set of a generator in the power engineering, which can be implemented by the following steps:
determining a working condition adjustment margin of the target generator during power output according to the load balancing dispersion;
determining a load fault tolerance factor of the target generator during cross-source switching;
and determining a load fault tolerance set of the generator in the power engineering according to the working condition adjustment margin and the load fault tolerance factor.
In some embodiments, determining the static compensation degree of the generator in the power engineering during load balancing by the load fault tolerance set may be implemented by the following steps:
In some embodiments, reference is made to fig. 2, which is a schematic flow chart illustrating an exemplary process for determining a static compensation degree according to some embodiments of the present application, where the determining the static compensation degree of a generator in an electrical power engineering during load balancing may be implemented by the following steps:
in step 1031, obtaining a load adjustment amount of a generator in power engineering during load balancing;
in step 1032, determining a static load characteristic at load balancing according to the load adjustment amount;
in step 1033, determining a variation compensation amount of the load when the target generator is balanced across the source according to the load fault tolerance set;
in step 1034, a static compensation degree of the generator in the power engineering at the time of load balancing is determined according to the static load characteristic and the change compensation amount.
In step 104, a differential characteristic sequence of input power of the generator in an overload state in the power engineering is obtained, a cross-source overload level is determined according to the differential characteristic sequence and the load connection stabilizing amount of the generator in cross-source switching, and then the dynamic loss degree of the generator in operation is determined according to the cross-source overload level.
It should be noted that, in the power engineering, the overload state of the generator refers to a condition that the load borne by the generator exceeds its rated capacity or design power; this means that the electrical load being provided by the generator exceeds its design capacity, which may cause problems such as overheating of the generator, damage to electrical insulation, damage to mechanical parts, etc., and in severe cases may even cause equipment failure or fire; by analyzing the difference characteristics of the input power of the generator in the overload state, the dynamic load balancing of the power equipment running under the variable working condition can be realized, the balance state ensures the reasonability of the load distribution of each equipment in the power system, and the risk of overload or insufficient load of the generator is reduced; the dynamic balance not only improves the stability and the reliability of the power system, but also optimizes the energy utilization efficiency and improves the accuracy and the efficiency of equipment detection; therefore, the capacity of analyzing the characteristics in the overload state of the generator to judge the load carrying state of the power equipment in the power engineering detection is finer, the equipment maintenance and management can be effectively guided, and the running quality and the safety of the power system are improved.
In some embodiments, obtaining a differential signature sequence of input power of a generator in an overload state in an electrical power engineering may be achieved by the following steps;
collecting the variation trend quantity of input power of a generator in an overload state in an electric power engineering;
Determining a power stabilizing value of input power of the generator in an overload state;
And determining a differential characteristic sequence of the input power of the generator in the overload state in the power engineering according to the variation trend quantity and the power stable value.
In some embodiments, the step of determining the cross-source overload level according to the difference characteristic sequence and the load balancing amount of the generator during the cross-source switching can be realized by adopting the following steps:
In some embodiments, reference is made to fig. 3, which is a schematic flow chart illustrating an exemplary process for determining a cross-source overload level according to some embodiments of the application, where the determination of the cross-source overload level may be implemented by:
In step 1041, obtaining a load balancing amount of the generator during cross-source switching;
in step 1042, determining an overload control domain of the generator during cross-source switching according to the difference feature sequence;
in step 1043, determining a load optimization value of the generator during cross-source switching;
In step 1044, a cross-source overload level is determined based on the load leveling amount, the overload control domain, and the load optimization value.
In some embodiments, determining the degree of dynamic loss in generator operation from the cross-source overload level may be accomplished by:
determining the load variation divergence of the generator in operation according to the cross-source overload level;
determining a dynamic loss factor when the load dynamically changes in the operation of the generator;
And determining the dynamic loss degree of the generator during operation according to the load change divergence and the dynamic loss factor.
In step 105, a state identification domain when the power equipment bears the load is determined according to the static compensation degree and the dynamic loss degree, and then the load bearing state of the power equipment is determined according to the state identification domain.
In some embodiments, determining the state identification domain of the power device when carrying the load through the static compensation degree and the dynamic loss degree may be implemented by:
determining the load transfer amount of the power equipment when carrying the load according to the static compensation degree;
Determining an operation identification coefficient when the power equipment bears a load according to the dynamic loss degree;
And determining a state identification domain when the power equipment bears the load through the load transfer quantity and the operation identification coefficient.
In some embodiments, the determining the load carrying status of the power device according to the status identifying field may be implemented by the following steps:
determining a power matching threshold value when the power equipment bears a load through the state identification domain;
Setting a state transition threshold value of the load carrying state of the power equipment;
and comparing the power matching threshold with the state transition threshold, and further judging the load carrying state of the power equipment.
In addition, in another aspect of the present application, in some embodiments, the present application provides an electrical power engineering detection apparatus, which includes an operation detection unit, referring to fig. 4, which is a schematic diagram of exemplary hardware and/or software of the operation detection unit according to some embodiments of the present application, the operation detection unit 400 includes: the acquisition module 401, the processing module 402, and the execution module 403 are respectively described as follows:
the acquisition module 401 is mainly used for acquiring power load data of a target generator in a power engineering under a variable working condition running state;
The processing module 402 is mainly used for determining identification points of power output of the target generator during working condition load balancing, and dividing the power load data according to the identification points to obtain load decision amounts corresponding to multiple classes of working condition balancing loads;
The processing module 402 is further configured to determine a load balancing deviation according to the load decision amount and a load balancing amount of the generator during cross-source switching, extract a load fault-tolerant set of the generator in the power engineering through the load balancing deviation, and further determine a static compensation degree of the generator in the power engineering during load balancing through the load fault-tolerant set;
The processing module 402 is further configured to obtain a difference feature sequence of input power of the generator in an overload state in the power engineering, determine a cross-source overload level according to the difference feature sequence and a load connection stabilizing amount of the generator during cross-source switching, and further determine a dynamic loss degree of the generator during operation according to the cross-source overload level;
The execution module 403 is mainly configured to determine a state identification domain when the power equipment carries the load according to the static compensation degree and the dynamic loss degree, and further determine a load carrying state of the power equipment according to the state identification domain.
In addition, the application also provides a computer device, which comprises a memory and a processor, wherein the memory stores codes, and the processor is configured to acquire the codes and execute the detection method of the electric power engineering.
In some embodiments, reference is made to fig. 5, which is a schematic structural diagram of a computer device implementing a detection method of power engineering according to some embodiments of the application. The method of detecting power engineering in the above embodiment may be implemented by a computer device shown in fig. 5, where the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503, and at least one communication interface 504.
The processor 501 may be a general purpose central processing unit (central processing unit, CPU), or may be an application-specific integrated circuit (ASIC) or one or more detection methods for controlling power engineering in the present application.
Communication bus 502 may be used to transfer information between the above-described components.
The Memory 503 may be, but is not limited to, a read-only Memory (ROM) or other type of static storage device that can store static information and instructions, a random access Memory (random access Memory, RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-only Memory, EEPROM), a compact disc (compact disc read-only Memory) or other optical disk storage, optical disk storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory 503 may be separate and coupled to the processor 501 via a communication bus 502. Memory 503 may also be integrated with processor 501.
Wherein the memory 503 is for storing program codes for executing the inventive arrangements and is controlled for execution by the processor 501. The processor 501 is configured to execute program code stored in the memory 503. One or more software modules may be included in the program code. The method of detecting power engineering in the above embodiment may be implemented by one or more software modules of program codes in the processor 501 and the memory 503.
Communication interface 504, using any transceiver-like device for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), etc.
In a specific implementation, as an embodiment, a computer device may include a plurality of processors, where each of the processors may be a single-core (single-CPU) processor or may be a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
The computer device may be a general purpose computer device or a special purpose computer device. In a specific implementation, the computer device may be a desktop, a laptop, a web server, a personal computer (PDA), a mobile handset, a tablet, a wireless terminal device, a communication device, or an embedded device. Embodiments of the application are not limited to the type of computer device.
In addition, the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the detection method of the electric power engineering when being executed by a processor.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (6)
1. The detection method of the electric power engineering is characterized by comprising the following steps of:
Acquiring power load data of a target generator in a power engineering under a variable working condition running state;
Determining an identification point of power output of a target generator during working condition load balancing, and dividing the power load data according to the identification point to obtain load decision amounts corresponding to multiple classes of working condition balancing loads;
Determining load balancing dispersion according to the load decision quantity and the load balancing stabilizing quantity of the generator during cross-source switching, extracting a load fault-tolerant set of the generator in the power engineering through the load balancing dispersion, and further determining the static compensation degree of the generator in the power engineering during load balancing through the load fault-tolerant set;
Acquiring a difference characteristic sequence of input power of a generator in an overload state in an electric power engineering, determining a cross-source overload level according to the difference characteristic sequence and the load connection stabilizing amount of the generator in cross-source switching, and further determining the dynamic loss degree of the generator in operation according to the cross-source overload level;
Determining a state identification domain when the power equipment bears the load according to the static compensation degree and the dynamic loss degree, and judging the load bearing state of the power equipment according to the state identification domain;
Dividing the power load data according to the identification points to obtain load decision-making amounts corresponding to the balanced loads of the multiple working conditions, wherein the load decision-making amounts comprise:
Determining variable intervals of multiple working conditions according to the identification points;
placing the power load data in each type of working condition variable interval to obtain a plurality of types of working condition balanced data segments;
selecting a class of working condition balancing data segments to determine a load decision quantity corresponding to a working condition balancing load;
Repeating the method for dividing the power load data according to the identification points to obtain load decision amounts corresponding to the balanced loads of multiple working conditions, and obtaining load decision amounts corresponding to the balanced loads of the residual working conditions;
the load balancing dispersion is determined according to the load decision quantity and the load balancing stabilizing quantity of the generator during cross-source switching, and the load balancing dispersion specifically comprises the following steps:
obtaining stabilizing data of output power of the motor during cross-source switching;
determining the load bearing stabilizing amount of the motor during cross-source switching according to the stabilizing data;
Extracting load discrete factors during load balancing of the generator according to the load stabilizing amount;
Determining load balancing dispersion according to the load discrete factor and the load decision quantity;
the load balancing dispersion is used for extracting a load fault-tolerant set of the generator in the power engineering, which specifically comprises the following steps:
determining a working condition adjustment margin of the target generator during power output according to the load balancing dispersion;
determining a load fault tolerance factor of the target generator during cross-source switching;
Determining a load fault tolerance set of a generator in the power engineering according to the working condition adjustment margin and the load fault tolerance factor;
Determining load balancing dispersion according to the load decision quantity and the load balancing stabilizing quantity of the generator during cross-source switching, extracting a load fault-tolerant set of the generator in the power engineering through the load balancing dispersion, and further determining the static compensation degree of the generator in the power engineering during load balancing through the load fault-tolerant set;
The method for acquiring the differential characteristic sequence of the input power of the generator in the overload state in the power engineering specifically comprises the following steps:
collecting the variation trend quantity of input power of a generator in an overload state in an electric power engineering;
Determining a power stabilizing value of input power of the generator in an overload state;
determining a difference characteristic sequence of input power of a generator in an overload state in the power engineering according to the variation trend quantity and the power stable value;
Acquiring a difference characteristic sequence of input power of a generator in an overload state in an electric power engineering, determining a cross-source overload level according to the difference characteristic sequence and the load connection stabilizing amount of the generator in cross-source switching, and further determining the dynamic loss degree of the generator in operation according to the cross-source overload level;
Determining a state identification domain when the power equipment bears the load according to the static compensation degree and the dynamic loss degree, and judging the load bearing state of the power equipment according to the state identification domain;
the load fault tolerance set determines the static compensation degree of the generator in the power engineering during load balancing, and the static compensation degree is realized by the following steps: acquiring a load bearing adjustment amount of a generator in power engineering during load balancing;
Determining static load characteristics during load balancing according to the load adjustment quantity;
determining a load change compensation quantity of the target generator when the source is balanced in a cross-source mode according to the load fault-tolerant set;
determining the static compensation degree of the generator in the power engineering during load balancing according to the static load characteristics and the change compensation quantity;
The dynamic loss degree of the generator during operation is determined by the cross-source overload level, and the method is realized by the following steps:
determining the load variation divergence of the generator in operation according to the cross-source overload level;
determining a dynamic loss factor when the load dynamically changes in the operation of the generator;
Determining the dynamic loss degree of the generator during operation according to the load variation divergence and the dynamic loss factor;
the state identification domain for determining the load bearing of the power equipment through the static compensation degree and the dynamic loss degree is realized by the following steps:
determining the load transfer amount of the power equipment when carrying the load according to the static compensation degree;
Determining an operation identification coefficient when the power equipment bears a load according to the dynamic loss degree;
And determining a state identification domain when the power equipment bears the load through the load transfer quantity and the operation identification coefficient.
2. The method of claim 1, wherein determining the identification point of the power output of the target generator at the time of load balancing comprises:
Load data of a target generator in working condition load balancing is obtained;
determining a working condition identification tag according to the load data;
and determining the identification points of the power output of the target generator in the working condition load balance through all the working condition identification tags.
3. The method of claim 1, wherein the power load data of the target generator in the variable operating condition is collected in real time by sensors or monitoring devices installed throughout the power system.
4. A detection device for electric power engineering, the detection device for electric power engineering comprising an operation detection unit, characterized in that the operation detection unit comprises:
The acquisition module is used for acquiring power load data of a target generator in the power engineering under a variable working condition running state;
The processing module is used for determining identification points of power output of the target generator during working condition load balancing, and dividing the power load data according to the identification points to obtain load decision amounts corresponding to multiple classes of working condition balancing loads;
The processing module is further used for determining load balancing dispersion according to the load decision quantity and the load balancing stabilizing quantity of the generator during cross-source switching, extracting a load fault-tolerant set of the generator in the power engineering through the load balancing dispersion, and further determining the static compensation degree of the generator in the power engineering during load balancing through the load fault-tolerant set;
the processing module is also used for acquiring a difference characteristic sequence of input power of the generator in an overload state in the power engineering, determining a cross-source overload level according to the difference characteristic sequence and the load connection stabilizing amount of the generator in cross-source switching, and further determining the dynamic loss degree of the generator in operation according to the cross-source overload level;
the execution module is used for determining a state identification domain when the power equipment bears the load through the static compensation degree and the dynamic loss degree, and judging the load bearing state of the power equipment according to the state identification domain;
Dividing the power load data according to the identification points to obtain load decision-making amounts corresponding to the balanced loads of the multiple working conditions, wherein the load decision-making amounts comprise:
Determining variable intervals of multiple working conditions according to the identification points;
placing the power load data in each type of working condition variable interval to obtain a plurality of types of working condition balanced data segments;
selecting a class of working condition balancing data segments to determine a load decision quantity corresponding to a working condition balancing load;
Repeating the method for dividing the power load data according to the identification points to obtain load decision amounts corresponding to the balanced loads of multiple working conditions, and obtaining load decision amounts corresponding to the balanced loads of the residual working conditions;
the load balancing dispersion is determined according to the load decision quantity and the load balancing stabilizing quantity of the generator during cross-source switching, and the load balancing dispersion specifically comprises the following steps:
obtaining stabilizing data of output power of the motor during cross-source switching;
determining the load bearing stabilizing amount of the motor during cross-source switching according to the stabilizing data;
Extracting load discrete factors during load balancing of the generator according to the load stabilizing amount;
Determining load balancing dispersion according to the load discrete factor and the load decision quantity;
the load balancing dispersion is used for extracting a load fault-tolerant set of the generator in the power engineering, which specifically comprises the following steps:
determining a working condition adjustment margin of the target generator during power output according to the load balancing dispersion;
determining a load fault tolerance factor of the target generator during cross-source switching;
Determining a load fault tolerance set of a generator in the power engineering according to the working condition adjustment margin and the load fault tolerance factor;
Determining load balancing dispersion according to the load decision quantity and the load balancing stabilizing quantity of the generator during cross-source switching, extracting a load fault-tolerant set of the generator in the power engineering through the load balancing dispersion, and further determining the static compensation degree of the generator in the power engineering during load balancing through the load fault-tolerant set;
The method for acquiring the differential characteristic sequence of the input power of the generator in the overload state in the power engineering specifically comprises the following steps:
collecting the variation trend quantity of input power of a generator in an overload state in an electric power engineering;
Determining a power stabilizing value of input power of the generator in an overload state;
determining a difference characteristic sequence of input power of a generator in an overload state in the power engineering according to the variation trend quantity and the power stable value;
Acquiring a difference characteristic sequence of input power of a generator in an overload state in an electric power engineering, determining a cross-source overload level according to the difference characteristic sequence and the load connection stabilizing amount of the generator in cross-source switching, and further determining the dynamic loss degree of the generator in operation according to the cross-source overload level;
Determining a state identification domain when the power equipment bears the load according to the static compensation degree and the dynamic loss degree, and judging the load bearing state of the power equipment according to the state identification domain;
the load fault tolerance set determines the static compensation degree of the generator in the power engineering during load balancing, and the static compensation degree is realized by the following steps: acquiring a load bearing adjustment amount of a generator in power engineering during load balancing;
Determining static load characteristics during load balancing according to the load adjustment quantity;
determining a load change compensation quantity of the target generator when the source is balanced in a cross-source mode according to the load fault-tolerant set;
determining the static compensation degree of the generator in the power engineering during load balancing according to the static load characteristics and the change compensation quantity;
The dynamic loss degree of the generator during operation is determined by the cross-source overload level, and the method is realized by the following steps:
determining the load variation divergence of the generator in operation according to the cross-source overload level;
determining a dynamic loss factor when the load dynamically changes in the operation of the generator;
Determining the dynamic loss degree of the generator during operation according to the load variation divergence and the dynamic loss factor;
the state identification domain for determining the load bearing of the power equipment through the static compensation degree and the dynamic loss degree is realized by the following steps:
determining the load transfer amount of the power equipment when carrying the load according to the static compensation degree;
Determining an operation identification coefficient when the power equipment bears a load according to the dynamic loss degree;
And determining a state identification domain when the power equipment bears the load through the load transfer quantity and the operation identification coefficient.
5. A computer device, characterized in that it comprises a memory storing a code and a processor configured to acquire the code and to perform the method of detection of electrical power engineering according to any one of claims 1 to 3.
6. A computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the method of detecting electric power engineering according to any one of claims 1 to 3.
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| CN109904865A (en) * | 2019-03-04 | 2019-06-18 | 曹麾 | High-voltage distribution network peak load balance intelligence control main system |
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| CN103490413A (en) * | 2013-09-27 | 2014-01-01 | 华南理工大学 | Intelligent electricity generation control method based on intelligent body equalization algorithm |
| CN109904865A (en) * | 2019-03-04 | 2019-06-18 | 曹麾 | High-voltage distribution network peak load balance intelligence control main system |
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