CN112510827B - Equipment monitoring system for electric power command center and monitoring method thereof - Google Patents
Equipment monitoring system for electric power command center and monitoring method thereof 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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol
Abstract
The invention discloses an equipment monitoring system for an electric power command center and a monitoring method thereof, belonging to the field of electric power command center monitoring; an equipment monitoring system for an electric power command center and a monitoring method thereof comprise the following steps: the system comprises a data acquisition subsystem, an operation management subsystem, a data storage subsystem, an information transmission subsystem and an auxiliary control subsystem; the system carries out power state monitoring, power plant environment monitoring and meteorological monitoring through the data acquisition subsystem, simultaneously carries out real-time connection with the data storage system, ensures the real-time performance of data, and simultaneously, all sensor nodes need to transmit the data to the master node, so that the master node can send the acquired data to the task management node through satellite channels, the Internet and other ways; when the power plant equipment is damaged due to weather problems, the damage size of the area can be determined according to the weather conditions, so that control selection is performed; therefore, the invention can effectively protect the safety of the power plant equipment.
Description
Technical Field
The invention discloses an equipment monitoring system for an electric power command center and a monitoring method thereof, belonging to the field of electric power command center monitoring.
Background
Electric power is an important secondary energy source for production and life of the people. The use of electric energy has the characteristics of universality, instantaneity, irreplaceability and the like, so that the influence of power failure on human activities is self-evident. When large-area power failure events occur in urban areas with high population and economy density, the negative effects brought by the interruption of power supply are all-around, namely, the interruption of power supply can cause that all useful point equipment can not normally operate, further communication and traffic paralysis are caused, tap water and oil pipeline materials can not be normally supplied, and important departments such as governments, hospitals, schools and the like can not normally operate. If the power is cut off in a large scale for a long time, the social and psychological instability is easily caused, and a plurality of serious secondary effects are generated. Therefore, the management work of the power command center is always important in government emergency work.
The safe operation of the power system is the primary condition for guaranteeing the stable foundation of the power grid and the national construction of the intelligent power grid. With the development of the scale of a power grid and the rapid increase of users of large-area multi-substation, the reliability, the real-time performance, the high efficiency and the like of a power system face higher requirements. For this reason, electric power enterprises strengthen establishing electric power monitoring systems to realize remote monitoring and intelligent management of electric power systems.
In the prior art, the power command center mainly loads the problem of power utilization of users and the problem of power plant equipment; however, when the monitoring system of the power command center works, the real-time performance of data acquisition on data acquired by a power plant cannot be realized, and meanwhile, the size of a fault area cannot be calculated when severe weather and power faults exist, so that the loss of power equipment is greatly improved.
Disclosure of Invention
The purpose of the invention is as follows: the utility model provides an equipment monitoring system for an electric power command center and a monitoring method thereof, which are used for solving the problems.
The technical scheme is as follows: an equipment monitoring system for an electric power command center, comprising:
the data acquisition subsystem is mainly used for completing the functional requirements of a data acquisition tool, is an important technical support of a system application layer and is also an important basis of the whole monitoring system;
the operation management subsystem is mainly used for recording the working condition of the monitoring system; the system comprises a main business function structure, and a system user can directly interact with the main business function structure through network equipment;
the data storage subsystem is used for storing various data information;
the information transmission subsystem is used for communicating a user and a manager with the monitoring system so as to remotely monitor and check various data of the power plant;
and the auxiliary control subsystem is used for detecting and protecting the power equipment when severe weather exists or the power equipment of the power plant is unstable.
Preferably, the data acquisition subsystem comprises: monitoring power state, power plant environment and meteorological monitoring; the power plant environment monitoring mainly comprises the detection of the safety, temperature, humidity and power state of power equipment; drawing a related image according to differential reflection of related parts of different objects on infrared radiation intensity by an infrared thermal imaging technology, and finding the position of a target according to the actual temperature difference between the target and the background where the target is located; monitoring can be deployed over a longer distance and without contact; the temperature and humidity of the power transmission line and the power plant are detected through the humidity module and the temperature module; and simultaneously, a plurality of cameras with high frame frequency and global shutters are arranged for collecting video images.
Preferably, the power state monitoring detects the temperature of the power transmission line through the optical fiber temperature sensor, the temperature signal is rapidly and accurately transmitted by utilizing a plurality of optical fiber lines in the optical fiber temperature sensor, the optical fiber has an insulation effect incomparable with other materials, and can play a good role in isolating high voltage in high voltage equipment, and the optical fiber can be installed on the surface of the high voltage equipment due to the isolation effect; meanwhile, wireless digital sensors are adopted for detecting the temperature and the humidity of the power plant equipment, network connection is established between the wireless digital sensors and the data acquisition subsystem, a plurality of independent wireless digital sensors are sequentially laid on the surface of the power plant equipment, the real-time temperature and the humidity of the equipment are acquired, and the temperature data are timely transmitted to the data acquisition subsystem for further processing in a wireless communication mode; the power state monitoring is subjected to exponential description through a power system, and whether each power index is in a normal range or not is judged through comprehensive calculation; the exponential form of the power state is divided into four types: equipment safety index, power quality index, power energy index and comprehensive index.
Preferably, the meteorological monitoring utilizes a meteorological satellite to detect the regional environment, and sends the detection signal to the operation management subsystem, and predicts the future weather condition through the operation management subsystem, thereby carrying out corresponding adjustment and protection.
Preferably, the equipment safety index is used for detecting and reflecting the current safety condition of the power equipment and whether potential safety hazards such as fire disasters occur or not; the safety index relates to the power parameters: transformer temperature, over-current, leakage current, high voltage line temperature, low voltage line temperature, over-voltage, unbalance rate, open phase problems; processing the safety index by using a power state diagnosis index algorithm so as to obtain a current safety index result; the power quality index reflects the power quality of the power equipment, including power supply and power consumption quality conditions; the quality index is measured by power factor, voltage change rate, voltage waveform distortion rate and frequency parameter; wherein, the power factor and the frequency can be directly measured and obtained in real time; the voltage variation rate is obtained by performing percentage operation on a line-to-line voltage real-time measured value and a rated voltage; the voltage waveform distortion rate is the square root of the square sum of the harmonic content rates of the non-sinusoidal periodic interaction variables of the line-to-line voltages; the electric energy index is used for calculating the electric energy use condition of the electric power system; calculating the power amount, the required power, the average power factor, the transformer loss, the leakage current loss and the invalid power loss by the energy index; the transformer loss, the leakage current loss, the invalid power loss and the required power can be estimated according to actual measured values; the average power factor is obtained by the average change condition of the apparent power and the active power measured value in a period of time; representing a power usage amount for a period of time using the power amount; and the energy index result can be solved by using a power state diagnosis index algorithm according to the parameter result; the composite index represents an overall state of the power equipment.
Preferably, the data storage subsystem comprises a plurality of information storage devices arranged in the data acquisition subsystem, and the devices are connected with various data acquisition terminals through RS-485 and RS-232 ports, so that various information of the power equipment monitored by the data acquisition terminals in the information storage devices can be cached in a memory of the information storage devices; the far and near communication of data can be realized through Ethernet and the Internet; meanwhile, the data storage subsystem is synchronously updated with a database in the monitoring system, so that the real-time performance of data is ensured.
Preferably, the auxiliary control subsystem judges whether the running state of the equipment is normal or not through various information of the power equipment acquired by the data acquisition subsystem; meanwhile, the auxiliary control subsystem comprises manual control, intelligent control and alarm control; during manual control, the information and the working state of the power plant equipment are manually adjusted through the controller; the intelligent control carries out the stable control adjustment of the daily work of the equipment; the alarm control is to detect and protect the power equipment when severe weather exists or the power equipment in the power plant is unstable.
A monitoring method of an equipment monitoring system for an electric power command center is characterized in that the system has higher real-time requirement on data when the electric power command center monitors power plant equipment; therefore, when the equipment is unstable, the power equipment can be timely detected and protected; the method comprises the following specific steps:
step 1, firstly, a manager establishes network communication connection with an information transmission subsystem through the information transmission subsystem;
step 2, reading configuration information of each memory in the data storage subsystem according to a database, wherein the configuration information comprises IP addresses, ports, serial numbers and the like, and storing the configuration information into a configuration information list, wherein the list is initially established in a system memory;
step 3, establishing connection with a data acquisition subsystem;
step 4, setting data acquisition strength;
step 41, deploying the system on a specific server, and respectively testing the use conditions of machine resources, including memory, CPU utilization rate and the like, when different numbers of data acquisition sub-threads are started in the system; the system collects data and responds to other operations at the same time; through continuously adjusting the number of data acquisition sub-threads, the efficient and real-time data acquisition work is finally realized on the premise of ensuring the stable operation of the system;
step 42, dividing the configuration information list into a plurality of sub-lists by the multithread manager, wherein the length of each sub-list is the acquisition strength; the system creates N sub-threads for the first sub-list to acquire data, the threads are not destroyed after acquisition is finished, the threads enter a dormant state, the N sub-threads are used for acquiring data of the data acquisition terminals in the second sub-list after the dormancy is finished, and so on, when each sub-list of the configuration information list is traversed to finish one-time complete data acquisition of all the data acquisition terminals, the configuration information list is continuously traversed to perform second-round acquisition;
step 5, acquiring the data state of the power equipment;
51, monitoring the power state, the power plant environment and the meteorological condition through the data acquisition subsystem;
step 52, acquiring the temperature and humidity inside the power equipment and the power plant through a sensor and a monitor; monitoring weather conditions and predicting future weather conditions through a meteorological satellite;
step 53, calculating the power state, and extracting and calculating power parameters related to a power state function page from the real-time power data according to the parameter configuration information defined by the power state virtual instrument;
step 54, obtaining various power parameters associated with the safety index: the method comprises the steps of measuring the temperature of a transformer, overcurrent, leakage current, the temperature of a high-voltage line, the temperature of a low-voltage line and the unbalance rate;
step 55, judging whether each parameter exceeds a set value, if so, directly judging that the safety index is in an emergency state, and ending the safety index solving process; if each parameter does not exceed the set value, entering the next step;
step 56, calculating a safety index;
step 57, comparing and judging the safety index result obtained in step 56 with the set index standard value, and finally determining whether the safety index is in a safe, attention, inspection or emergency state; thereby finishing judging the safety index state;
step 6, the auxiliary control subsystem adjusts a control mode according to the safety index state in cooperation with the environmental data and the meteorological data of the power plant;
step 7, the operation management subsystem is connected with various sensors in the data acquisition subsystem through a plurality of internal network nodes; meanwhile, all the sensor nodes need to transmit data to the master node, so that the master node can send the acquired data to the task management node through satellite channels, the Internet and the like;
and 8, checking various condition indexes of the power plant condition and the power equipment in real time by workers, monitoring personnel and managers.
Preferably, when the safety index is calculated, the state of the safety index is determined according to the external condition, so that control selection is performed; the method comprises the following specific steps:
step 10, when severe weather exists, the working power equipment of the power plant is damaged, and various parameters of a damaged area need to be calculated to obtain the damage degree; thus, it follows that:
wherein S represents the damage size of the area caused by the weather condition; k represents the size of the damaged electrical load of the area, n represents the number of the electrical loads,
n represents the power failure probability of the nth electric load, and Ln represents the power size of the nth electric load;
step 11, determining the state of a safety index according to the damage size of the area under the weather condition, and performing control selection;
step 12, obtaining a power equipment state vector C according to the weather grade obtained by weather monitoring and the damage size of the weather condition to the area;
step 13, adding a weight W to the power equipment state vector C to obtain a new power equipment state vector V;
step 14, determining the power equipment state under the normal weather condition and the power equipment state under the severe weather condition;
step 15, calculating the distance between the two states in the step 14;
step 16, calculating the relative closeness of the states of the power equipment at the moment;
and step 17, obtaining a safety index result according to the relative proximity, and adjusting the control mode.
Preferably, when data acquisition strength is set, the monitoring system is remotely connected with each acquisition terminal of the data acquisition subsystem through the Internet of things, the information transmission subsystem is used for sending acquisition commands to each acquisition terminal and receiving data returned by the acquisition terminal, electric real-time data are extracted from response messages of the acquisition terminal, the data are firstly stored in a buffer pool for being directly called by a client browser end, then are stored in a database and enter dormancy as a backup data acquisition sub-thread, and the next round of data acquisition is carried out after the dormancy is finished.
Preferably, the data acquisition thread can read the configuration information and modify the configuration information through the interface; the read-write operation aims at each piece of configuration information, so that the mutual exclusion operation needs to be carried out on each piece of configuration information, and the local blocking is carried out by using synchronous action on each piece of configuration information in the implementation process, so that the conflict generated when the configuration information is read and written can be avoided.
Has the advantages that: the system carries out power state monitoring, power plant environment monitoring and meteorological monitoring through the data acquisition subsystem, is simultaneously connected with the data storage system in real time to ensure the real-time performance of data, and simultaneously the operation management subsystem is connected with various sensors in the data acquisition subsystem through a plurality of internal network nodes; meanwhile, all the sensor nodes need to transmit data to the master node, so that the master node can send the acquired data to the task management node through satellite channels, the Internet and the like; when the power plant equipment is damaged due to weather problems, the damage size of the area can be determined according to the weather conditions, so that control selection is performed; therefore, the invention can effectively protect the safety of the power plant equipment.
Drawings
FIG. 1 is a system block diagram of the present invention.
FIG. 2 is a block diagram of a data acquisition subsystem of the present invention.
FIG. 3 is a data acquisition subsystem workflow diagram of the present invention.
Fig. 4 is a communication block diagram of the acquisition terminal and the monitoring system of the present invention.
Detailed Description
As shown in fig. 1, in this embodiment, an apparatus monitoring system for an electric power command center and a monitoring method thereof include: the system comprises a data acquisition subsystem, an operation management subsystem, a data storage subsystem, an information transmission subsystem and an auxiliary control subsystem.
In a further embodiment, the data acquisition subsystem comprises: monitoring power state, power plant environment and meteorological monitoring; the power plant environment monitoring mainly comprises the detection of the safety, temperature, humidity and power state of power equipment; drawing related images according to differential reflection of related parts of different objects on infrared radiation intensity by an infrared thermal imaging technology, and finding the position of a target according to the actual temperature difference between the target and the background where the target is located; monitoring can be deployed over a large distance and without contact; the temperature and humidity of the power transmission line and the power plant are detected through the humidity module and the temperature module; and simultaneously, a plurality of cameras with high frame frequency and global shutters are arranged for acquiring video images.
In a further embodiment, the power state monitoring detects the temperature of the power transmission line through the optical fiber temperature sensor, the multiple optical fiber lines in the optical fiber temperature sensor are utilized to realize the rapid and accurate transmission of temperature signals, the optical fibers have insulation effects incomparable with other materials, and can play a good role in isolating high voltage in high voltage equipment, and the optical fibers can be installed on the surface of the high voltage equipment due to the isolation effect; meanwhile, wireless digital sensors are adopted for detecting the temperature and the humidity of the power plant equipment, network connection is established between the wireless digital sensors and the data acquisition subsystem, a plurality of independent wireless digital sensors are sequentially laid on the surface of the power plant equipment, the real-time temperature and the humidity of the equipment are acquired, and the temperature data are timely transmitted to the data acquisition subsystem for further processing in a wireless communication mode; the power state monitoring is subjected to exponential description through a power system, and whether each power index is in a normal range or not is judged through comprehensive calculation; the exponential form of the power state is divided into four types: equipment safety index, power quality index, power energy index and comprehensive index.
In a further embodiment, the weather monitoring utilizes a weather satellite to detect the regional environment, and sends the detection signal to the operation management subsystem, and the operation management subsystem predicts the future weather condition, so as to perform corresponding adjustment and protection.
In a further embodiment, the equipment safety index detects and reflects the current safety condition of the power equipment, whether potential safety hazards such as fire disasters occur or not; the safety index relates to the power parameters: transformer temperature, over-current, leakage current, high voltage line temperature, low voltage line temperature, over-voltage, unbalance rate, open phase problems; processing the safety index by using a power state diagnosis index algorithm so as to obtain a current safety index result; the power quality index reflects the power quality of the power equipment, including power supply and power consumption quality conditions; the quality index is measured by power factor, voltage change rate, voltage waveform distortion rate and frequency parameter; wherein, the power factor and the frequency can be directly measured and obtained in real time; the voltage variation rate is obtained by performing percentage operation on a line-to-line voltage real-time measured value and a rated voltage; the voltage waveform distortion rate is the square root of the square sum of the harmonic content rates of the non-sinusoidal periodic interaction variables of the line-to-line voltages; calculating the power energy utilization condition of the power system by the power energy index; calculating the power amount, the required power, the average power factor, the transformer loss, the leakage current loss and the invalid power loss by the energy index; the transformer loss, the leakage current loss, the invalid power loss and the required power can be estimated according to actual measured values; the average power factor is obtained by the average change condition of the apparent power and the active power measured value in a period of time; representing a power usage amount over a period of time using the power usage amount; and the energy index result can be solved by utilizing a power state diagnosis index algorithm according to the parameter result; the composite index represents an overall state of the power equipment.
In a further embodiment, the data storage subsystem comprises a plurality of information storage devices arranged in the data acquisition subsystem, and the devices are connected with various data acquisition terminals through RS-485 and RS-232 ports, so that various information of the power equipment monitored by the data acquisition terminals in the information storage devices can be cached in a memory of the information storage devices; the far and near communication of data can be realized through Ethernet and the Internet; meanwhile, the data storage subsystem is synchronously updated with a database in the monitoring system, so that the real-time performance of the data is ensured.
In a further embodiment, the auxiliary control subsystem judges whether the equipment running state is normal or not through various information of the power equipment acquired by the data acquisition subsystem; meanwhile, the auxiliary control subsystem comprises manual control, intelligent control and alarm control; during manual control, the information and the working state of the power plant equipment are manually adjusted through the controller; the intelligent control carries out the stable control adjustment of the daily work of the equipment; the alarm control is to detect and protect the power equipment when severe weather exists or the power equipment in the power plant is unstable.
In a further embodiment, a monitoring method of an equipment monitoring system for an electric power command center is characterized in that when the electric power command center monitors power plant equipment, the real-time requirement of the system on data is higher; therefore, when the equipment is unstable, the power equipment can be timely detected and protected; the method comprises the following specific steps:
step 1, firstly, a manager establishes network communication connection with an information transmission subsystem through the information transmission subsystem;
step 2, reading configuration information of each memory in the data storage subsystem according to the database, wherein the configuration information comprises IP addresses, ports, serial numbers and the like, and storing the configuration information into a configuration information list, wherein the list is initially established in a system memory;
step 3, establishing connection with a data acquisition subsystem;
step 4, setting data acquisition strength;
step 41, deploying the system on a specific server, and respectively testing the use conditions of machine resources, including memory, CPU utilization rate and the like, when different numbers of data acquisition sub-threads are started in the system; the system collects data and responds to other operations at the same time; through continuously adjusting the number of data acquisition sub-threads, the requirement of realizing efficient and real-time data acquisition on the premise of ensuring the stable operation of the system is finally met;
step 42, dividing the configuration information list into a plurality of sub-lists by the multithread manager, wherein the length of each sub-list is the acquisition strength; the system creates N sub-threads for the first sub-list to acquire data, the threads are not destroyed after acquisition is finished, the threads enter a dormant state, the N sub-threads are used for acquiring data of the data acquisition terminals in the second sub-list after the dormancy is finished, and so on, when each sub-list of the configuration information list is traversed to finish one-time complete data acquisition of all the data acquisition terminals, the configuration information list is continuously traversed to perform second-round acquisition;
step 5, acquiring the data state of the power equipment;
51, monitoring the power state, the power plant environment and the meteorological condition through the data acquisition subsystem;
step 52, acquiring the temperature and humidity inside the power equipment and the power plant through a sensor and a monitor; monitoring weather conditions and predicting future weather conditions through a meteorological satellite;
step 53, calculating the power state, and extracting and calculating power parameters related to a power state function page from the power real-time data according to the parameter configuration information defined by the power state virtual instrument;
step 54, obtaining various power parameters related to the safety index: the method comprises the steps of transformer temperature, overcurrent, leakage current, high-voltage line temperature, low-voltage line temperature and unbalance rate;
step 55, judging whether each parameter exceeds a set value, if so, directly judging that the safety index is in an emergency state, and ending the safety index solving process; if each parameter does not exceed the set value, entering the next step;
step 56, calculating a safety index;
step 57, comparing and judging the safety index result obtained in step 56 with the set index standard value, and finally determining whether the safety index is in a safe, attention, inspection or emergency state; thereby finishing judging the safety index state;
step 6, the auxiliary control subsystem adjusts a control mode according to the safety index state in cooperation with the environmental data and the meteorological data of the power plant;
step 7, the operation management subsystem is connected with various sensors in the data acquisition subsystem through a plurality of internal network nodes; meanwhile, all the sensor nodes need to transmit data to the master node, so that the master node can send the acquired data to the task management node through satellite channels, the Internet and the like;
and 8, checking various condition indexes of the power plant condition and the power equipment in real time by workers, monitoring personnel and managers.
In a further embodiment, when calculating the safety index, the state of the safety index is determined according to the external condition, so as to perform control selection; the method comprises the following specific steps:
step 10, when severe weather exists, the working power equipment of the power plant is damaged, and various parameters of a damaged area need to be calculated to obtain the damage degree; thus, it follows:
wherein S represents the damage size of the area caused by the weather condition; k represents the size of the damaged electrical load of the area, n represents the number of the electrical loads,
n represents the power-down probability of the nth electric load, and Ln represents the power magnitude of the nth electric load;
step 11, determining the state of the safety index according to the damage size of the area under the condition of weather, and then performing control selection
Step 12, obtaining a power equipment state vector C according to the weather grade obtained by weather monitoring and the damage size of the weather condition to the area;
step 13, adding a weight W into the power equipment state vector C to obtain a new power equipment state vector V;
step 14, determining the power equipment state under the normal weather condition and the power equipment state under the severe weather condition;
step 15, calculating the distance between the two states in the step 14;
step 16, calculating the relative closeness of the states of the power equipment at the moment;
and step 17, obtaining a safety index result according to the relative proximity, and adjusting the control mode.
In a further embodiment, when data acquisition strength is set, the monitoring system is remotely connected with each acquisition terminal of the data acquisition subsystem through the internet of things, the information transmission subsystem is used for sending acquisition commands to each acquisition terminal and receiving data returned by the acquisition terminal, electric real-time data are extracted from response messages of the acquisition terminal, the data are firstly stored in a buffer pool for being directly called by a client browser terminal, then are stored in a database and enter dormancy as a backup data acquisition sub-thread, and the next round of data acquisition is carried out after the dormancy is finished.
In a further embodiment, the data acquisition thread may read configuration information and modify configuration information through the interface; the read-write operation aims at each piece of configuration information, so that the mutual exclusion operation is carried out on each piece of configuration information, and the local blocking is carried out by using synchronous action on each piece of configuration information in the implementation process, so that the conflict generated when the configuration information is read and written can be avoided.
The working principle is as follows: when the power plant equipment is monitored by the power command center, the real-time requirement of the system on data is higher; therefore, when the equipment is unstable, the power equipment can be timely detected and protected; firstly, a manager establishes network communication connection with an information transmission subsystem through the information transmission subsystem; reading configuration information of each memory in the data storage subsystem according to a database, wherein the configuration information comprises IP addresses, ports, serial numbers and the like, and storing the configuration information into a configuration information list, and the list is initially established in a system memory; creating a connection with a data acquisition subsystem; setting data acquisition strength;
the method comprises the steps that a system is deployed on a specific server, and the use conditions of machine resources, including memory, CPU utilization rate and the like, are tested respectively when different numbers of data acquisition sub-threads are started in the system; the system collects data and responds to other operations at the same time; through continuously adjusting the number of data acquisition sub-threads, the efficient and real-time data acquisition work is finally realized on the premise of ensuring the stable operation of the system; dividing the configuration information list into a plurality of sub-lists by the multithread manager, wherein the length of each sub-list is the acquisition strength; the system creates N sub-threads for the first sub-list to acquire data, the threads are not destroyed after acquisition is finished, the threads enter a dormant state, the N sub-threads are used for acquiring data of the data acquisition terminals in the second sub-list after the dormancy is finished, and so on, when each sub-list of the configuration information list is traversed to finish one-time complete data acquisition of all the data acquisition terminals, the configuration information list is continuously traversed to perform second-round acquisition; acquiring the data state of the power equipment; monitoring the power state, the power plant environment and the meteorological condition through the data acquisition subsystem; acquiring the temperature and humidity inside the power equipment and the power plant through a sensor and a monitor; monitoring weather conditions and predicting future weather conditions through a meteorological satellite; performing power state calculation, and extracting and calculating power parameters related to a power state function page from power real-time data according to parameter configuration information defined by the power state virtual instrument; obtaining various power parameters related to the safety index: the method comprises the steps of transformer temperature, overcurrent, leakage current, high-voltage line temperature, low-voltage line temperature and unbalance rate; judging whether each parameter exceeds a set value, if so, directly judging the safety index to be in an emergency state, and ending the safety index solving process; if each parameter does not exceed the set value, entering the next step; calculating a safety index; comparing and judging the result of the safety index with the set index standard value, and finally determining whether the safety index is in a safe, attention, inspection or emergency state; thereby finishing judging the safety index state; the auxiliary control subsystem adjusts a control mode according to the safety index state in cooperation with the environmental data and the meteorological data of the power plant; the operation management subsystem is connected with various sensors in the data acquisition subsystem through a plurality of internal network nodes; meanwhile, all the sensor nodes need to transmit data to the master node, so that the master node can send the acquired data to the task management node through satellite channels, the Internet and the like; therefore, the working personnel, the monitoring personnel and the manager can check the power plant condition and various condition indexes of the power equipment in real time.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. The invention is not described in detail in order to avoid unnecessary repetition.
Claims (8)
1. An equipment monitoring system for an electric power command center, comprising:
the data acquisition subsystem is mainly used for completing the functional requirements of a data acquisition tool, is an important technical support of a system application layer and is also an important basis of the whole monitoring system;
the operation management subsystem is mainly used for recording the working condition of the monitoring system; the system comprises a main business function structure, and a system user can directly interact with the main business function structure through network equipment;
the data storage subsystem is used for storing various data information;
the information transmission subsystem is used for communicating a user and a manager with the monitoring system so as to remotely monitor and check various data of the power plant;
the auxiliary control subsystem is used for detecting and protecting the power equipment when severe weather exists or the power equipment of the power plant is unstable;
the data acquisition subsystem includes: monitoring power state, power plant environment and meteorological monitoring; the power plant environment monitoring mainly comprises the detection of the safety, temperature, humidity and power state of power equipment; drawing a related image according to differential reflection of related parts of different objects on infrared radiation intensity by an infrared thermal imaging technology, and finding the position of a target according to the actual temperature difference between the target and the background where the target is located; spread over a longer distance and deploy monitoring without contact; the temperature and humidity of the power transmission line and the power plant are detected through the humidity module and the temperature module; simultaneously setting a plurality of cameras with high frame frequency and global shutters to acquire video images;
when the power plant equipment is monitored by the power command center, the real-time requirement on the data is high; therefore, when the equipment is unstable, the power equipment is timely detected and protected; the method comprises the following specific steps:
step 1, firstly, a manager establishes network communication connection through an information transmission subsystem;
step 2, reading configuration information of each memory in the data storage subsystem according to the database, wherein the configuration information comprises an IP address, a port and a serial number, and storing the configuration information into a configuration information list, wherein the list is initially established in a system memory;
step 3, establishing connection with a data acquisition subsystem;
step 4, setting data acquisition strength;
step 41, deploying the system on a specific server, and respectively testing the use conditions of machine resources, including the utilization rates of a memory and a CPU (central processing unit), when different numbers of data acquisition sub-threads are started in the system; the system collects data and responds to other operations at the same time; through continuously adjusting the number of data acquisition sub-threads, the efficient and real-time data acquisition work is finally realized on the premise of ensuring the stable operation of the system;
step 42, dividing the configuration information list into a plurality of sub-lists by the multithread manager, wherein the length of each sub-list is the acquisition strength; the system creates N sub threads for the first sub list to acquire data, the threads are not destroyed after the acquisition is finished, but are put into a sleep state, and the N sub threads are used for acquiring data of the data acquisition terminal in the second sub list after the sleep is finished; and so on, when the traversal of each sub-list of the configuration information list is finished, completing one complete data acquisition of all the data acquisition terminals, and then continuously traversing the configuration information list to perform the second round of acquisition;
step 5, acquiring the data state of the power equipment;
51, monitoring the power state, the power plant environment and the meteorological condition through the data acquisition subsystem;
step 52, acquiring the temperature and humidity inside the power equipment and the power plant through a sensor and a monitor; monitoring weather conditions and predicting future weather conditions through a meteorological satellite;
step 53, calculating the power state, and extracting and calculating power parameters related to a power state function page from the real-time power data according to the parameter configuration information defined by the power state virtual instrument;
step 54, obtaining various power parameters associated with the safety index: the method comprises the steps of measuring the temperature of a transformer, overcurrent, leakage current, the temperature of a high-voltage line, the temperature of a low-voltage line and the unbalance rate;
step 55, judging whether each parameter exceeds a set value, if so, directly judging that the safety index is in an emergency state, and ending the safety index solving process; if each parameter does not exceed the set value, entering the next step;
step 56, calculating a safety index;
step 57, comparing and judging the safety index result obtained in step 56 with a set index standard value, and finally determining whether the safety index is in a safe, attention, inspection or emergency state; thereby finishing judging the safety index state;
step 6, the auxiliary control subsystem adjusts a control mode according to the safety index state in cooperation with the environmental data and the meteorological data of the power plant;
step 7, the operation management subsystem is connected with various sensors in the data acquisition subsystem through a plurality of internal network nodes; meanwhile, all the sensor nodes need to transmit data to the master node, so that the master node can send acquired data to the task management node through a satellite channel and the Internet;
and 8, checking various condition indexes of the power plant condition and the power equipment in real time by workers, monitoring personnel and managers.
2. The equipment monitoring system for the power command center according to claim 1, wherein the power state monitoring detects the temperature of the power transmission line through the optical fiber temperature sensor, the rapid and accurate transmission of the temperature signal is realized by using a plurality of optical fiber lines inside the optical fiber temperature sensor, the optical fiber has an insulation effect incomparable with other materials, and has a good isolation effect on the high voltage in the high voltage equipment, and the optical fiber is installed on the surface of the high voltage equipment due to the isolation effect; meanwhile, wireless digital sensors are adopted for detecting the temperature and the humidity of the power plant equipment, network connection is established between the wireless digital sensors and the data acquisition subsystem, a plurality of independent wireless digital sensors are sequentially laid on the surface of the power plant equipment, the real-time temperature and the humidity of the equipment are acquired, and the temperature data are timely transmitted to the data acquisition subsystem for further processing in a wireless communication mode; the power state monitoring is subjected to exponential description through a power system, and whether each power index is in a normal range or not is judged through comprehensive calculation; the exponential form of the power state is divided into four types: equipment safety index, power quality index, power energy index and comprehensive index.
3. The equipment monitoring system for the electric power command center according to claim 1, wherein the meteorological monitoring utilizes a meteorological satellite to detect the regional environment, and sends a detection signal to the operation management subsystem, and the operation management subsystem predicts the future weather condition, so as to perform corresponding adjustment and protection.
4. The equipment monitoring system for the power command center according to claim 2, wherein the equipment safety index is used for detecting whether the current safety condition of the power equipment is reflected or whether fire safety hazards occur; the safety index relates to the power parameters: transformer temperature, over-current, leakage current, high voltage line temperature, low voltage line temperature, over-voltage, unbalance rate, open phase problems; processing the safety index by using a power state diagnosis index algorithm so as to obtain a current safety index result; the power quality index reflects the power quality of the power equipment, including power supply and power consumption quality conditions; the quality index is measured by a power factor, a voltage change rate, a voltage waveform distortion rate and a frequency parameter; wherein, the power factor and the frequency are directly measured and obtained in real time; the voltage variation rate is obtained by performing percentage operation on a line-to-line voltage real-time measured value and a rated voltage; the voltage waveform distortion rate is the square root of the square sum of the harmonic content rates of the non-sinusoidal periodic interaction variables of the line-to-line voltages; calculating the power energy utilization condition of the power system by the power energy index; calculating the power amount, the required power, the average power factor, the transformer loss, the leakage current loss and the invalid power loss by the energy index; the transformer loss, the leakage current loss, the invalid power loss and the required power are estimated according to actual measured values; the average power factor is obtained by the average change condition of the apparent power and the active power measured value in a period of time; representing a power usage amount for a period of time using the power amount; and the energy index result can be solved by using a power state diagnosis index algorithm according to the parameter result; the composite index represents an overall state of the power equipment.
5. The equipment monitoring system for the electric power command center according to claim 1, wherein the data storage subsystem comprises a plurality of information storage equipment arranged in the data acquisition subsystem, and the equipment is connected with various data acquisition terminals through RS-485 and RS-232 ports, so that various types of information of the electric power equipment monitored by the data acquisition terminals in the information storage equipment are cached in a memory thereof; the far and near communication of data can be realized through Ethernet and the Internet; meanwhile, the data storage subsystem is synchronously updated with a database in the monitoring system, so that the real-time performance of the data is ensured.
6. The equipment monitoring system for the electric power command center according to claim 1, wherein the auxiliary control subsystem judges whether the equipment operation state is normal or not through various types of information of the electric power equipment acquired by the data acquisition subsystem; meanwhile, the auxiliary control subsystem comprises manual control, intelligent control and alarm control; during manual control, the information and the working state of the power plant equipment are manually adjusted through the controller; the intelligent control carries out the stable control adjustment of the daily work of the equipment; the alarm control is to detect and protect the power equipment when severe weather exists or the power equipment in the power plant is unstable.
7. The equipment monitoring system for the electric power command center according to claim 1, wherein when the safety index is calculated, the state of the safety index is determined according to external conditions, so that control selection is performed; the method comprises the following specific steps:
step 9, when severe weather exists, the working power equipment of the power plant is damaged, and various parameters of a damaged area need to be calculated to obtain the damage degree; thus, it follows:
wherein S represents the damage size of the area caused by the weather condition; k represents the size of the damaged electrical load of the area, n represents the number of the electrical loads,
representing the power failure probability of the nth electric load, and Ln representing the power size of the nth electric load;
step 10, determining the state of the safety index according to the damage size of the area under the condition of weather, and then performing control selection
Step 11, obtaining a power equipment state vector C according to the weather grade obtained by weather monitoring and the damage size of the weather condition to the area;
step 12, adding a weight W into the power equipment state vector C to obtain a new power equipment state vector V;
step 13, determining the power equipment state under normal weather conditions and the power equipment state under severe weather conditions;
step 14, calculating the distance between the two states in the step 13;
step 15, calculating the relative proximity of the states of the power equipment at the moment;
and step 16, obtaining a safety index result according to the relative proximity, and adjusting the control mode.
8. The equipment monitoring system for the power command center as claimed in claim 1, wherein when the data collection force is set, the monitoring system remotely connects to each collection terminal of the data collection subsystem through the internet of things, sends collection commands to each collection terminal and receives data returned by the collection terminal by using the information transmission subsystem, extracts real-time power data from response messages of the collection terminals, stores the data in a buffer pool for direct calling of a client browser, stores the data in a database as a backup data collection sub-thread to enter a sleep mode, and collects data in a next round after the sleep mode is finished.
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