CN117394530A - Data service operation monitoring system for cloud data - Google Patents
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- 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
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Abstract
The invention relates to the technical field of data monitoring, and particularly discloses a data service operation monitoring system for cloud data, which comprises a distributed coordination optimization control subsystem, a refined operation optimization control subsystem and an intelligent operation and maintenance management subsystem; according to the invention, panoramic monitoring is carried out on the whole network operation, intelligent power grid operation information containing new energy sources and market main bodies is provided for operators, a prediction model is built for system load, bus load and new energy source power through a refined operation optimization control subsystem, boundary data support is provided for cloud global optimization, an evaluation model is built for the prediction results of the system load, bus load and new energy source power through an intelligent operation and maintenance management subsystem, and the operation of the cloud system is monitored, so that abnormal conditions can be found in time and corresponding measures can be taken, the reliability of the whole system can be improved, the system performance bottleneck can be identified, and optimization can be carried out to improve the system performance.
Description
Technical Field
The invention relates to the technical field of data monitoring, in particular to a data service operation monitoring system for cloud data.
Background
Cloud data services are often used by enterprises to monitor technologies to track the performance and availability of cloud infrastructure, including monitoring components such as virtual machines, storage, networking, and load balancers to ensure the stability and performance of the cloud infrastructure. Enterprises monitor the performance of applications they host in the cloud through monitoring techniques, including monitoring the response time, transaction rate, error rate, and resource utilization of the applications to ensure that the applications are operating properly but because cloud data involves the processing and storage of large amounts of user data, compliance requirements, troubleshooting, and security audits are met. With the continuous expansion of the service scale, the performance of the cloud platform may face bottlenecks, including the problems of insufficient computing resources and insufficient network bandwidth, which affect the performance of the application program and the user experience, so it is very important to monitor the data service operation monitoring system for designing cloud data in real time, and in order to solve the problems, a technical scheme is provided.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a data service operation monitoring system for cloud data, which is used for carrying out panoramic monitoring on the operation of the whole network, providing intelligent power grid operation information containing new energy sources and market main bodies for operators, establishing a prediction model for system load, bus load and new energy source power through a refined operation optimization control subsystem, providing boundary data support for cloud global optimization, establishing an evaluation model for the prediction results of the system load, bus load and new energy source power through an intelligent operation and maintenance management subsystem, monitoring the operation of the cloud system, helping to find abnormal conditions in time, taking corresponding measures, improving the reliability of the whole system, helping to identify performance bottlenecks, optimizing, improving the system performance and solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a data service operation monitoring system for cloud data comprises a distributed coordination optimization control subsystem, a refined operation optimization control subsystem and an intelligent operation and maintenance management subsystem,
the distributed coordination optimization control subsystem is used for carrying out panoramic monitoring on the whole network operation and providing intelligent power grid operation information containing new energy and market main bodies for operators;
the refined operation optimization control subsystem is used for establishing a prediction model for system load, bus load and new energy power, providing short-term and ultra-short-term prediction services for the whole network and providing boundary data support for cloud global optimization;
the intelligent operation and maintenance management subsystem is used for establishing an evaluation model for the prediction results of the system load, the bus load and the new energy power and monitoring the operation of the cloud system.
As a further scheme of the invention, the distributed coordination optimization control subsystem comprises a power grid operation monitoring module and an adjustable load autonomous cruise module, wherein the power grid operation monitoring module comprises a power grid operation overview unit, a whole-grid power generation and transmission operation monitoring unit, a whole-grid market main body operation monitoring unit, a whole-grid new energy operation monitoring unit, a novel power system key index monitoring unit, a whole-grid ordered power utilization monitoring unit, a whole-grid AVC operation monitoring unit and a whole-grid AGC operation monitoring unit, and the adjustable load autonomous cruise module comprises an adjustable load power generation self-driving unit and an adjustable load power generation rolling optimization unit.
As a further aspect of the present invention, the whole-network power generation and transmission operation monitoring unit provides functions of power flow monitoring, primary equipment operation monitoring, system standby monitoring, fault trip monitoring, power factor monitoring, section monitoring, and dynamic topology analysis and coloring for 35KV and above in the enclosure, and the whole-network market main body operation monitoring unit provides functions of virtual power plant operation monitoring, charging facility operation monitoring, adjustable load operation monitoring, and micro-grid operation monitoring.
As a further scheme of the invention, the whole-network new energy operation monitoring unit provides the functions of wind power monitoring and centralized photovoltaic power generation monitoring, and the novel power system key index monitoring unit provides the functions of new energy perspective monitoring, whole-network system inertia monitoring, whole-network harmonic monitoring, whole-network operation standby monitoring, whole-network short circuit ratio monitoring, whole-network initial frequency change rate monitoring and whole-network unit climbing capacity monitoring.
As a further scheme of the invention, the novel power system key index monitoring unit provides a function of monitoring new energy perspective, and the new energy permeability index comprises the power grid asynchronous power source permeability, the provincial new energy permeability and the ground new energy permeability, and the calculation formula of the synchronous power grid asynchronous power source permeability is as follows:
grid unsynchronized mains permeability= (grid new energy output + power received by dc transmission)/grid power generation load;
the calculation formula of the new energy permeability of the provincial area is as follows:
the provincial new energy permeability = provincial new energy output/provincial total power generation output;
the penetration rate of the new energy into the province= (the output of the new energy into the province+the power received through direct current transmission)/the power generation load in the province;
provincial new energy permeability = introgressed provincial new energy permeability-outfeed provincial new energy permeability;
the calculation formula of the new energy permeability of the city is as follows:
new energy permeability in municipalities = new energy output in municipalities/power generation load in municipalities.
As a further scheme of the invention, the novel power system key index monitoring unit provides a monitoring function aiming at the whole network short circuit ratio, wherein the whole network short circuit ratio monitoring function is used for a new energy plant station aiming at 110kV voltage level grid connection, and the calculation formula of the whole network short circuit ratio is as follows:
wherein: RSCR is the whole network short-circuit ratio, S ac Short-circuit capacity of full-network 220kV transformer substation, P re And the power is output for 110kV new energy sources in a 220kV transformer substation area of the whole network.
As a further scheme of the invention, the intelligent operation and maintenance management subsystem comprises a dispatching automation system operation monitoring module, a power-saving operation automatic evaluation analysis module, a prediction result automatic evaluation module, an adjustable automatic coincidence dispatching automatic evaluation analysis module, a reactive voltage economy automatic analysis module, a dispatching automation system operation automatic evaluation analysis module, a dispatching automation system inspection condition and configuration automatic evaluation analysis module, a dispatching automation system on-duty alarm information automatic evaluation analysis module, a distribution network system practical automatic evaluation analysis module and a new energy station grid-connected operation data intelligent analysis and evaluation module.
As a further scheme of the invention, the dispatching automation system operation monitoring module comprises a cloud system monitoring unit, a cloud cooperative operation monitoring unit and a traditional automation system operation monitoring unit, the prediction result automatic evaluation module comprises a system load prediction result evaluation unit, a bus load prediction result evaluation unit and a new energy power prediction result evaluation unit, and the adjustable automatic coincidence dispatching automation evaluation analysis module comprises an adjustable load comprehensive analysis unit, an adjustable load control result statistical analysis unit and an adjustable load monitoring data quality analysis unit.
As a further scheme of the invention, the prediction result automatic evaluation module comprises a system load prediction result evaluation unit, a bus load prediction result evaluation unit and a new energy power prediction result evaluation unit, wherein the system load prediction result evaluation unit establishes a system load prediction result evaluation model through the system load stability degree, the weather sensitivity degree and the system load prediction result accuracy degree, and an evaluation formula of the system load prediction result evaluation model is as follows:
wherein: y is Y ty X is the evaluation value of the system load prediction result tE X is the system load stability tC To the sensitivity of weather, Q ty And the accuracy degree of the system load prediction result is obtained.
As a further scheme of the invention, the bus load prediction result evaluation unit establishes a bus load prediction result evaluation model through the bus load stability degree, the weather sensitivity degree and the bus load prediction result accuracy degree, wherein an evaluation formula of the bus load prediction result evaluation model is as follows:
wherein: m is M ty For the evaluation value of the bus load prediction result, Y tI M is the stability of bus load tC The accuracy of the bus load prediction result is obtained;
the new energy power prediction result evaluation unit establishes a new energy power prediction result evaluation model through the power value acquisition frequency, the new energy power change stability, the meteorological sensitivity and the new energy power prediction result, wherein an evaluation formula of the new energy power prediction result evaluation model is as follows:
wherein: n (N) ty P is the evaluation value of the new energy power prediction result ty For power value acquisition frequency, N tU To the stability of the power change of new energy, N tQ And the new energy power prediction result is obtained.
The data service operation monitoring system for cloud data has the technical effects and advantages that:
1. according to the cloud data monitoring system, the cloud data can be monitored in real time through the data service operation monitoring system, abnormal conditions can be found timely, corresponding measures are taken, and therefore the reliability of the whole system is improved;
2. according to the invention, by monitoring the performance index of the system, the data service operation monitoring system can help to identify the performance bottleneck, so that the optimization is performed, and the system performance is improved;
3. according to the invention, through automatic monitoring and management, the data service operation monitoring system can reduce operation and maintenance cost and improve operation and maintenance efficiency.
Drawings
FIG. 1 is a schematic diagram of a data service operation monitoring system for cloud data according to the present invention;
FIG. 2 is a schematic diagram of a distributed coordination optimization control subsystem according to the present invention;
fig. 3 is a schematic structural diagram of the intelligent operation and maintenance management subsystem according to the present invention.
Detailed Description
The technical solutions of the present embodiment will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is apparent that the described embodiment is only a part of the embodiment of the present invention, not all the embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
A data service operation monitoring system for cloud data comprises a distributed coordination optimization control subsystem, a refined operation optimization control subsystem and an intelligent operation and maintenance management subsystem,
the distributed coordination optimization control subsystem is used for carrying out panoramic monitoring on the whole network operation and providing intelligent power grid operation information containing new energy and market main bodies for operators;
the refined operation optimization control subsystem is used for establishing a prediction model for system load, bus load and new energy power, providing short-term and ultra-short-term prediction services for the whole network and providing boundary data support for cloud global optimization;
the intelligent operation and maintenance management subsystem is used for establishing an evaluation model for the prediction results of the system load, the bus load and the new energy power and monitoring the operation of the cloud system.
The distributed coordination optimization control subsystem comprises a power grid operation monitoring module and an adjustable load autonomous cruise module, wherein the power grid operation monitoring module comprises a power grid operation overview unit, a full-grid power generation and transmission operation monitoring unit, a full-grid market main body operation monitoring unit, a full-grid new energy operation monitoring unit, a novel power system key index monitoring unit, a full-grid ordered power utilization monitoring unit, a full-grid AVC operation monitoring unit and a full-grid AGC operation monitoring unit, and the adjustable load autonomous cruise module comprises an adjustable load power generation self-driving unit and an adjustable load power generation rolling optimization unit.
The power grid operation overview unit is a browsing entrance and global key information display interface of a cloud system monitoring type application, and is used for displaying the total condition of each monitoring subject, the whole network power grid operation key index, key alarm and key information chart in a cloud monitoring range. And a navigation window and a control for each monitoring theme are provided, so that a user can click through each theme monitoring interface to view.
The whole-network market body operation monitoring unit supports a virtual power plant operation monitoring function, a charging facility operation monitoring function, an adjustable load operation monitoring function, and a micro-grid operation monitoring function.
The whole-network new energy operation monitoring unit integrates the data and the chart of the currently constructed company new energy scheduling operation management platform, and wind power and centralized photovoltaic monitoring is realized on a cloud system monitoring interface.
The novel power system key index in the novel power system key index monitoring unit comprises: new energy permeability, full-network system inertia, full-network harmonic waves, full-network operation reserve, full-network short-circuit ratio, full-network initial frequency and full-network unit climbing capacity.
The whole-network ordered electricity consumption monitoring unit integrates data of the general dispatching OMS ordered electricity consumption monitoring module, and ordered electricity consumption plan and execution condition information are displayed on the cloud system.
The whole-network AVC operation monitoring unit integrates related data and diagrams of a currently constructed OCS system whole-network AVC centralized monitoring module, and the monitoring content on a cloud system monitoring interface comprises the following steps: the bus of each power supply area of 500kV-220kV is highest, lowest, average voltage and qualification rate; the voltage of a 220kV to 10kV bus of each regional power grid is highest, lowest, average and qualification rate; reactive power exchange conditions of the power grid among areas, in areas and in areas; the configuration capacity, the current reactive power, the reactive power which can be increased and the reactive power which can be reduced of each area and each transformer substation; the AVC of the whole network is put into operation, the quantity of the closed-loop control substations, the quantity of the closed-loop control power plants and the quantity of the closed-loop control new energy stations are controlled.
The whole network AGC operation monitoring unit realizes the whole network AGC centralized monitoring panoramic display, provides the AGC command inquired according to the control area, and realizes the display of the output, the operation alarm and the AGC alarm of the unit.
The whole-network power generation and transmission operation monitoring unit in the embodiment of the invention provides the functions of power flow monitoring, primary equipment operation monitoring, system standby monitoring, fault tripping monitoring, power factor monitoring, section monitoring and dynamic topology analysis and coloring for 35KV and above lines and substations in an enclosure, and the whole-network market main body operation monitoring unit provides the functions of virtual power plant operation monitoring, charging facility operation monitoring, adjustable load operation monitoring and micro-grid operation monitoring.
The power transmission monitoring and the power supply monitoring are carried out aiming at the power flow monitoring functions of 35KV and above circuits and substations in the enclosing wall, the monitoring of the running conditions of the power grid is realized, the monitoring range comprises active, reactive, current, voltage, frequency and out-of-limit monitoring, breaker switch, disconnecting link state and deflection monitoring, the power supply monitoring displays the current power flow running condition through a geographic tide diagram, a primary wiring diagram, a curve of a plant and a list man-machine interface, visual display means are provided, and the display effect is improved; the power transmission monitoring displays the current tide running condition through a geographical tide diagram, a layered and partitioned power grid tide diagram, a station primary wiring diagram, a curve and a list man-machine interface, and a visual display means is provided to realize recording and warning prompt on the whole-network power generation, power reception, power consumption, tie lines, total weight to be measured and the corresponding extreme value and out-of-limit conditions.
The power transmission monitoring and the power supply monitoring are carried out aiming at the primary equipment operation monitoring function, the primary equipment operation of the power supply is monitored according to real-time operation data by combining a power grid model and a topological connection relation, visual equipment operation state information is provided for a dispatcher, and the range of the power supply monitoring comprises: the method comprises the steps of stopping and re-operating a unit, out-of-limit the unit, passing through vibration of a direct-water-regulating motor unit, switching on and off of a transformer, charging of the transformer, overload of the transformer, switching on and off of a bus, out-of-limit of the bus, switching on and off of the bus, out-of-limit of the bus, providing a device operation monitoring information list, classifying and displaying monitoring results according to the conditions of areas, stations and device types, and counting state starting time and state duration; the power transmission monitoring range includes: line shutdown, line charging, line overload, transformer switching, transformer charging, transformer overload, bus switching, bus out-of-limit, reactive compensation device switching and power grid operation dangerous points.
The power transmission monitoring and the power supply monitoring are carried out aiming at the fault tripping monitoring function, the sudden change of the output force of the unit can be judged through the power supply monitoring, the fault tripping monitoring of the unit is realized, the normal operation tripping and the fault tripping can be distinguished and marked, the fault tripping gives an alarm, the fault tripping information is supported to be counted and inquired, and the fault tripping equipment information is acquired from the edge cluster; the power transmission monitoring can judge the sudden change of the line power, realize the line fault monitoring, distinguish and mark normal operation tripping and fault tripping, give an alarm for fault tripping, support the statistics and inquiry of fault tripping information and acquire the information of fault tripping equipment from an edge cluster.
The power factor monitoring function can monitor the power factor, voltage and qualification of each voltage class of each generator, transformer and transformer substation, and gives an alarm when the power factor is out of limit.
The power transmission monitoring and the power supply monitoring aiming at the dynamic topology analysis and coloring functions can determine the electrified, power-off and grounding states of various electric equipment in the system according to the real-time state of a breaker switch knife gate, and display the results on a human-computer interface by using different colors, wherein the uncharged elements are uniformly represented by one color, the grounding elements are uniformly represented by one color, and the normally electrified elements are respectively represented by different colors according to different voltage levels of the normally electrified elements.
The full-network new energy operation monitoring unit in the embodiment of the invention provides the functions of wind power monitoring and centralized photovoltaic power generation monitoring, and the novel power system key index monitoring unit provides the functions of new energy perspective monitoring, full-network system inertia monitoring, full-network harmonic monitoring, full-network operation standby monitoring, full-network short circuit ratio monitoring, full-network initial frequency change rate monitoring and full-network unit climbing capacity monitoring.
The novel power system key index monitoring unit in the embodiment of the invention provides a function of monitoring new energy transmittance, wherein the new energy transmittance index comprises power grid unsynchronized power source permeability, provincial new energy permeability and ground new energy permeability, and a calculation formula of the synchronized power grid unsynchronized power source permeability is as follows:
grid unsynchronized mains permeability= (grid new energy output + power received by dc transmission)/grid power generation load;
the calculation formula of the new energy permeability of the provincial area is as follows:
the provincial new energy permeability = provincial new energy output/provincial total power generation output;
the penetration rate of the new energy into the province= (the output of the new energy into the province+the power received through direct current transmission)/the power generation load in the province;
provincial new energy permeability = introgressed provincial new energy permeability-outfeed provincial new energy permeability;
the calculation formula of the new energy permeability of the city is as follows:
new energy permeability in municipalities = new energy output in municipalities/power generation load in municipalities.
The novel power system key index monitoring unit in the embodiment of the invention provides a monitoring function aiming at the whole network short circuit ratio, wherein the whole network short circuit ratio monitoring function is used for a new energy plant station aiming at 110kV voltage level grid connection, and the calculation formula of the whole network short circuit ratio is as follows:
wherein: RSCR is the whole network short-circuit ratio, S ac Short-circuit capacity of full-network 220kV transformer substation, P re And the power is output for 110kV new energy sources in a 220kV transformer substation area of the whole network.
The calculation formula of the whole network short circuit ratio can be used for monitoring the stability and the safety of the power system in real time, measures are needed to ensure the safe operation of the system when the short circuit ratio exceeds a threshold value, the whole network short circuit ratio can be used as a decision support tool to help a power system operator to determine whether the capacity of a transformer substation needs to be increased or new energy output is regulated to maintain the short circuit ratio, and the optimization of the performance of the power system is facilitated.
The intelligent operation and maintenance management subsystem in the embodiment of the invention comprises a dispatching automation system operation monitoring module, a power-saving operation automatic evaluation analysis module, a prediction result automatic evaluation module, an adjustable automatic coincidence dispatching automatic evaluation analysis module, a reactive voltage economy automatic analysis module, a dispatching automation system operation automatic evaluation analysis module, a dispatching automation system inspection condition and configuration automatic evaluation analysis module, a dispatching automation system on-duty alarm information automatic evaluation analysis module, a distribution network system practical automatic evaluation analysis module and a new energy station grid-connected operation data intelligent analysis and evaluation module.
The functional requirements of the power-saving operation automatic evaluation analysis module comprise: the automatic statistical analysis of the electric power balance obtains data from a cloud data center, comprehensively considers factors of net load characteristics, power supply sides, load sides, energy storage adjustable capacity and cross-provincial support capacity, and realizes unified analysis and display of the electric power balance running condition, wherein the factors comprise real-time balance margin and real-time balance gap; automatic statistical analysis of the ordered power utilization operation is carried out, data are obtained from a cloud data center, and summary statistics and analysis of the ordered power utilization operation condition are realized; automatic peak-shifting electricity consumption statistical analysis is carried out, data are obtained from a cloud data center, and the peak-shifting electricity consumption conditions of large users are summarized, counted and analyzed; and (3) automatically carrying out statistical analysis on the response conditions of the demand side, acquiring data from a cloud data center, and carrying out summarizing, statistics and analysis on the response conditions of the demand side of the market user.
The functions of the adjustable automatic meeting scheduling automatic evaluation analysis module comprise adjustable load resource comprehensive analysis, and unified analysis display of the adjustable load resources accessed by each level of edge clusters is realized, wherein the functions comprise load resource overview, regional load resource analysis, user load resource analysis and group load resource analysis; the statistical analysis of the adjustable load control results is realized, so that the summarization statistics and analysis of the response conditions of the adjustable load accessed by the edge clusters of each level are realized, and the statistical analysis comprises analysis of the regional negative control results and daily report function of load control execution; the quality analysis of the load monitoring data can be adjusted, and the quality evaluation analysis of the load monitoring acquisition data which can be adjusted by the edge cluster access of each level is realized, wherein the quality evaluation analysis comprises the functions of data acquisition completion rate, data acquisition time rate and resource aggregation relation integrity.
And the reactive voltage economical automatic analysis module monitors and acquires the configuration condition, reactive compensation strategy information and voltage actual measurement information of each level of dispatching reactive compensation devices from the total dispatching AVC, and evaluates and analyzes the rationality and the integrity of the configuration of each level of reactive compensation devices according to the reactive optimization actual condition and the configuration condition of the reactive compensation devices.
The function of the automatic evaluation analysis module of the dispatching automation system comprises information filling and collecting and automatic generation of month report and annual analysis report.
The functions of the dispatching automation system inspection condition and configuration automatic evaluation analysis module comprise information reporting and collecting and automatic generation of an operation condition evaluation report.
The automatic evaluation and analysis module of the on-duty alarm information of the dispatching automation system has the functions of information reporting and collecting and automatic generation of an on-duty alarm report.
The distribution network system practical automatic evaluation analysis module operates the evaluation module from the network level OMS system distribution network and displays the evaluation module in a form and chart mode on a cloud system interface. Based on the accessed data of all provinces and local municipalities, realizing access, display and inquiry of the practical evaluation basic data of the distribution network, the data of all provinces and local municipalities comprises: the method comprises the steps of after-fault remote control success times, after-fault switch deflection times, fault research and judgment correct fault times, medium voltage automatic line fault times, automatic line selection correct times of a line selection device, line selection times to be evaluated, number of users with normal power supply 15 minutes after faults, total number of fault line, remote control success times, manual operation times, total number of remote control success times, total number of remote control execution times, number of users with normal power supply after permanent faults of self-healing function lines, total number of users with permanent faults, average increment of number of users with normal power supply 15 minutes after the fault of the year, total investment of power distribution automation construction of the last year, medium voltage public line number meeting the requirements of distribution automation terminal configuration mode and equipment selection in the area, total number of medium voltage public lines in the area, total number of power distribution automation terminals after material taking, and the total number of the power distribution automation terminals after the operation the total number of distribution automation terminals which are required to be put into operation after material taking, the number of communication interruption minutes between a single distribution automation terminal and a main station, the number of operation minutes of the single distribution automation terminal, the total number of distribution terminals which are required to be put into operation, the total number of accurate isolation times of faults of the distribution automation terminals, the total number of faults of medium-voltage lines with the distribution automation terminals, the total number of distribution terminals which are required to be put into operation and are longitudinally communicated in an encrypted tunnel mode, the total number of distribution terminals which are required to be put into operation and are provided with encryption modules, the total number of remote control success times in a counting period, the total number of switches with remote control functions, the number of automatic closing times of contact switches, the number of faults of circuits which are required to be put into self-healing and are provided with isolation transfer conditions, the number of times of power supply of closed loop transfer, the number of power transfer and power supply transfer, the total number of successfully imported graphic files, the total number of graphic files which are required to be imported, the quantity of graphic files which are imported, the abnormal quantity of graphic verification of graphic files which are imported and the number of graphic files are changed, the system distribution transformer information is matched with the same distribution transformer quantity, distribution transformer total number, distribution transformer monitoring and metering terminal data are accessed to a distribution master station, distribution transformer terminal outage and power restoration alarm receiving total time length, distribution transformer terminal outage and power restoration alarm total number, remote signaling action correct times, remote signaling action total times, distribution automation line total number, medium-voltage public line total number, self-healing mode public line total number, distribution automation terminal quantity with remote operation and maintenance functions, three-remote distribution automation terminal quantity, remote controllable three-remote switch total number, distribution switch total number, three-remote contact automation switch total number, contact switch total number, regional rotatable power supply line total number, distribution master station configured with the number of functions to be selected, the total number of functions to be selected, master station basic monitoring function module outage hours, the number of hours in a statistical period, the number of communication channel interruption minutes of a single distribution network, and the number of operation minutes of a single communication channel.
The intelligent analysis and evaluation module for the grid-connected operation data of the new energy station acquires the operation data of the centralized new energy and the distributed new energy sent by the grid-provincial main station system and the edge clusters through cloud edge interaction, comprehensively analyzes the operation state, stability, response performance and electric energy quality indexes of the operation data, establishes an index system for evaluation, and displays related information and evaluation results on an interface.
The dispatching automation system operation monitoring module in the embodiment of the invention comprises a cloud system monitoring unit, a cloud cooperative operation monitoring unit and a traditional automation system operation monitoring unit, wherein the prediction result automatic evaluation module comprises a system load prediction result evaluation unit, a bus load prediction result evaluation unit and a new energy power prediction result evaluation unit, and the adjustable automatic coincidence dispatching automatic evaluation analysis module comprises an adjustable load comprehensive analysis unit, an adjustable load control result statistical analysis unit and an adjustable load monitoring data quality analysis unit.
The functional requirements of the cloud system monitoring unit include: the cloud system comprises monitoring capabilities of a virtual machine server used by the cloud system, including monitoring of names, IP addresses, CPU allocation amounts, memory allocation amounts, disk allocation amounts and operating system version information of the virtual machine, and classified monitoring and displaying according to different application modules of the cloud system; the cloud system has the monitoring capability of the container group used by the cloud system, comprises the monitoring of the name of the container group, the number of copies of the container group, the running state of the container group, the item to which the container group belongs and the creation time information of the container group, and can be classified, monitored and displayed according to different application modules of the cloud system; the cloud system comprises monitoring capability of container operation used by the cloud system, wherein the monitoring capability comprises monitoring of container names, container operation node names, IP, container restarting times, container operation states and creation time information, and classified monitoring and displaying are carried out according to different application modules of the cloud system; the system has the role authority management capability of the user, and different users display operation monitoring results of different monitoring types according to authority settings; the intelligent warning system has the popup window prompt and short message warning capability of real-time warning, and has the analysis capability of real-time warning reason analysis, fault degree and influence range; the cloud system monitoring and alarming system has the function of analyzing operation defects in monitoring and alarming data of the cloud system, and can conduct classified statistics and display according to different application modules of the cloud system.
The function requirements of the cloud edge cooperative operation monitoring unit include: collecting edge cluster software and hardware equipment ledgers, running state data, alarm information and application versions; the monitoring capability of the basic information of the edge cluster is provided, wherein the monitoring capability comprises the name of the edge cluster, the ID of the edge cluster, the organization of the edge cluster and the version information of the edge cluster; the system has the capability of monitoring the running state of the edge cluster application container, including the start-stop state, the CPU utilization rate, the memory utilization rate, the disk utilization rate and the network IO condition; the monitoring capability of the edge cluster component service is provided, and the monitoring capability comprises monitoring of the name and the version information of the edge cluster component; providing a self-defined business process monitoring template construction function, constructing a system data flow view and a functional logic view by using a template component by each system administrator in a visual mode, supporting manual association of various operating states, alarm information and treatment scheme data sources, facilitating the visual grasp of various fault influence ranges by system operation operators, and improving the fault treatment efficiency; the defect release, closed-loop reminding and follow-up processing progress statistics function of the cloud to each edge cluster is achieved, and the automation of defect management of the cloud-edge fusion intelligent scheduling operation platform is achieved.
The functional requirements of a conventional automation system operation monitoring unit include: accessing hardware equipment ledgers, software system ledgers, a master station and plant station monitoring data from the existing south network general dispatching automation operation management and control system, and displaying monitoring and alarming on a cloud system interface; the acquired information range comprises main station configuration information, hardware equipment information, basic software information, data interaction information, network security information, intelligent machine room monitoring information, station equipment software and hardware information, station data interaction, station network security and station dynamic ring; the system has the capability of storing operation monitoring data, and realizes the historical storage of the monitoring data within 1 year; supporting the monitor frame to stop the grid, and supporting the appointed frame elements and data not to be refreshed temporarily; the role authority management capability of the user is provided, and different users are supported to display operation monitoring results of different monitoring types according to authority settings; the system has the statistics of operation monitoring data and alarm data, data export capability, real-time alarm elimination, position information display and alarm point detail function.
The automatic evaluation module of the prediction result in the embodiment of the invention comprises a system load prediction result evaluation unit, a bus load prediction result evaluation unit and a new energy power prediction result evaluation unit, wherein the system load prediction result evaluation unit establishes a system load prediction result evaluation model through the system load stability degree, the weather sensitivity degree and the accuracy degree of the system load prediction result, and the evaluation formula of the system load prediction result evaluation model is as follows:
wherein: y is Y ty X is the evaluation value of the system load prediction result tE X is the system load stability tC To the sensitivity of weather, Q ty And the accuracy degree of the system load prediction result is obtained.
The bus load prediction result evaluation unit in the embodiment of the invention establishes a bus load prediction result evaluation model through the bus load stability degree, the weather sensitivity degree and the bus load prediction result accuracy degree, wherein an evaluation formula of the bus load prediction result evaluation model is as follows:
wherein: m is M ty For the evaluation value of the bus load prediction result, Y tI M is the stability of bus load tC The accuracy of the bus load prediction result is obtained;
the new energy power prediction result evaluation unit establishes a new energy power prediction result evaluation model through the power value acquisition frequency, the new energy power change stability, the meteorological sensitivity and the new energy power prediction result, wherein an evaluation formula of the new energy power prediction result evaluation model is as follows:
wherein: n (N) ty P is the evaluation value of the new energy power prediction result ty For power value acquisition frequency, N tU To the stability of the power change of new energy, N tQ And the new energy power prediction result is obtained.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. A data service operation monitoring system for cloud data, which comprises a distributed coordination optimization control subsystem, a refined operation optimization control subsystem and an intelligent operation and maintenance management subsystem, and is characterized in that,
the distributed coordination optimization control subsystem is used for carrying out panoramic monitoring on the whole network operation and providing intelligent power grid operation information containing new energy and market main bodies for operators;
the refined operation optimization control subsystem is used for establishing a prediction model for system load, bus load and new energy power, providing short-term and ultra-short-term prediction services for the whole network and providing boundary data support for cloud global optimization;
the intelligent operation and maintenance management subsystem is used for establishing an evaluation model for the prediction results of the system load, the bus load and the new energy power and monitoring the operation of the cloud system.
2. The data service operation monitoring system for cloud data of claim 1, wherein the distributed coordination optimization control subsystem comprises a grid operation monitoring module and an adjustable load autonomous cruise module, wherein the grid operation monitoring module comprises a grid operation overview unit, a full-grid power generation and transmission operation monitoring unit, a full-grid market main body operation monitoring unit, a full-grid new energy operation monitoring unit, a novel power system key index monitoring unit, a full-grid ordered electricity utilization monitoring unit, a full-grid AVC operation monitoring unit and a full-grid AGC operation monitoring unit, and the adjustable load autonomous cruise module comprises an adjustable load power generation self-driving unit and an adjustable load power generation rolling optimization unit.
3. The data service operation monitoring system for cloud data as claimed in claim 2, wherein the whole network power transmission operation monitoring unit provides functions for power flow monitoring, primary equipment operation monitoring, system backup monitoring, fault trip monitoring, power factor monitoring, section monitoring and dynamic topology analysis and coloring for 35KV and above in the enclosure, and the whole network market main body operation monitoring unit provides functions for virtual power plant operation monitoring, charging facility operation monitoring, adjustable load operation monitoring and micro grid operation monitoring.
4. The data service operation monitoring system for cloud data according to claim 2, wherein the whole network new energy operation monitoring unit provides functions for wind power monitoring and centralized photovoltaic power generation monitoring, and the novel power system key index monitoring unit provides functions for new energy perspective monitoring, whole network system inertia monitoring, whole network harmonic monitoring, whole network operation standby monitoring, whole network short circuit ratio monitoring, whole network initial frequency change rate monitoring and whole network unit climbing capacity monitoring.
5. The data service operation monitoring system for cloud data as claimed in claim 4, wherein the novel power system key index monitoring unit provides a function of monitoring new energy transmittance, the new energy transmittance index comprises grid unsynchronized power source permeability, provincial new energy permeability and city new energy permeability, and the calculation formula of the synchronized grid unsynchronized power source permeability is as follows:
grid unsynchronized mains permeability= (grid new energy output + power received by dc transmission)/grid power generation load;
the calculation formula of the new energy permeability of the provincial area is as follows:
the provincial new energy permeability = provincial new energy output/provincial total power generation output;
the penetration rate of the new energy into the province= (the output of the new energy into the province+the power received through direct current transmission)/the power generation load in the province;
provincial new energy permeability = introgressed provincial new energy permeability-outfeed provincial new energy permeability;
the calculation formula of the new energy permeability of the city is as follows:
new energy permeability in municipalities = new energy output in municipalities/power generation load in municipalities.
6. The data service operation monitoring system for cloud data as claimed in claim 4, wherein the novel power system key index monitoring unit provides a monitoring function for a whole network short circuit ratio, and the whole network short circuit ratio monitoring function is used for a new energy plant station for 110kV voltage level grid connection, wherein a calculation formula of the whole network short circuit ratio is as follows:
wherein: RSCR is the whole network short-circuit ratio, S ac Short-circuit capacity of full-network 220kV transformer substation, P re And the power is output for 110kV new energy sources in a 220kV transformer substation area of the whole network.
7. The data service operation monitoring system for cloud data according to claim 1, wherein the intelligent operation and maintenance management subsystem comprises a dispatching automation system operation monitoring module, a power supply protection operation automatic evaluation analysis module, a prediction result automatic evaluation module, an adjustable automatic compliance dispatching automatic evaluation analysis module, a reactive voltage economy automatic analysis module, a dispatching automation system operation automatic evaluation analysis module, a dispatching automation system inspection condition and configuration automatic evaluation analysis module, a dispatching automation system duty alarm information automatic evaluation analysis module, a distribution network system practical automatic evaluation analysis module and a new energy station grid-connected operation data intelligent analysis and evaluation module.
8. The data service operation monitoring system for cloud data as claimed in claim 7, wherein the dispatching automation system operation monitoring module comprises a cloud system monitoring unit, a cloud cooperative operation monitoring unit and a traditional automation system operation monitoring unit, the prediction result automatic evaluation module comprises a system load prediction result evaluation unit, a bus load prediction result evaluation unit and a new energy power prediction result evaluation unit, and the adjustable automatic compliance dispatching automatic evaluation analysis module comprises an adjustable load comprehensive analysis unit, an adjustable load control result statistical analysis unit and an adjustable load monitoring data quality analysis unit.
9. The data service operation monitoring system for cloud data according to claim 7, wherein the prediction result automatic evaluation module comprises a system load prediction result evaluation unit, a bus load prediction result evaluation unit and a new energy power prediction result evaluation unit, wherein the system load prediction result evaluation unit establishes a system load prediction result evaluation model through a system load stability degree, a weather sensitivity degree and a system load prediction result accuracy degree, and an evaluation formula of the system load prediction result evaluation model is as follows:
wherein: y is Y ty X is the evaluation value of the system load prediction result tE X is the system load stability tC To the sensitivity of weather, Q ty And the accuracy degree of the system load prediction result is obtained.
10. The data service operation monitoring system for cloud data according to claim 9, wherein the bus load prediction result evaluation unit establishes the bus load prediction result evaluation model by using the bus load stability degree, the weather sensitivity degree and the bus load prediction result accuracy degree, and an evaluation formula of the bus load prediction result evaluation model is as follows:
wherein: m is M ty For the evaluation value of the bus load prediction result, Y tI M is the stability of bus load tC The accuracy of the bus load prediction result is obtained;
the new energy power prediction result evaluation unit establishes a new energy power prediction result evaluation model through the power value acquisition frequency, the new energy power change stability, the meteorological sensitivity and the new energy power prediction result, wherein an evaluation formula of the new energy power prediction result evaluation model is as follows:
wherein: n (N) ty P is the evaluation value of the new energy power prediction result ty For power value acquisition frequency, N tU To the stability of the power change of new energy, N tQ And the new energy power prediction result is obtained.
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