CN110490763B - Peak regulation assisting method and system - Google Patents
Peak regulation assisting method and system Download PDFInfo
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- CN110490763B CN110490763B CN201910757662.6A CN201910757662A CN110490763B CN 110490763 B CN110490763 B CN 110490763B CN 201910757662 A CN201910757662 A CN 201910757662A CN 110490763 B CN110490763 B CN 110490763B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
- H04L41/0663—Performing the actions predefined by failover planning, e.g. switching to standby network elements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a peak regulation auxiliary method and a peak regulation auxiliary system. The system comprises: the system comprises a data acquisition module, a database module, a power grid end, a power plant end and a system management module; the power plant end provides a power plant user interface; the power grid end is used for information reporting, regulation and control monitoring and the like; the data acquisition module is used for actively acquiring real-time peak shaving data and uploading peak shaving data files. The invention can meet the requirement of a certain regulation rate, and smoothly and stably regulate the output of the unit or change the peak regulation service provided by the unit operation state according to the planned requirement of the load change of the power grid; and diversified information reporting interfaces are provided, and the requirements of different demanders are met.
Description
[ technical field ] A
The invention belongs to the technical field of power grid service, and particularly relates to a peak regulation auxiliary method and system.
[ background of the invention ]
At present, the auxiliary service of the power grid in China insists on 'scheduling according to needs, and compensation cost is proportionally shared among thermal power generating units in a system based on cost compensation'. At present, the auxiliary service management method implemented by the power grid in China not only does not clarify the cause of the auxiliary service and violates the principle of 'who causes who undertakes' of the auxiliary service, but also is not beneficial to exciting the positivity of providing the auxiliary service for other generator sets or power plants including thermal power generating units in a system. Under the current peak regulation situation, on one hand, the utilization rate of pumped storage is low, and the peak clipping and valley filling effects cannot be fully exerted; on one hand, with the large-scale grid connection of new energy and nuclear power, the phenomenon of wind abandoning and nuclear abandoning happens occasionally, the number of hours of utilization of a thermal power generating unit is continuously reduced, the peak regulation situation is extremely severe, and the progress of the optimization of the power supply structure in China is seriously hindered. Although some experts and scholars pay attention to the establishment of an auxiliary service cost allocation mechanism caused by new energy power generation at the present stage and provide a series of auxiliary service cost allocation methods related to peak shaving, frequency modulation, rotation standby and the like, the provided methods all relate to specific modes and steps for causing the auxiliary service cost allocation caused by the grid connection of a new energy power plant under the condition of clear mechanisms. And less peak shaving auxiliary optimization operation is performed according to peak shaving requirements. The invention provides a peak regulation auxiliary method and a system, which adopt a dual-machine mutual backup and dual-machine duplex mode, on one hand, the method can meet the requirement of a certain regulation rate, and smoothly and stably regulate the output of a unit or change the peak regulation service provided by the running state of the unit according to the requirement of the load change of a power grid in a planned way; on the other hand, two or more heterogeneous database servers are set to switch between the servers based on the peak shaving service working characteristics, and hardware resources are fully utilized. In addition, a diversified information reporting interface is provided, and the requirements of different demanders are met.
[ summary of the invention ]
In order to solve the above problems in the prior art, the present invention provides a peak shaving assistance method and system, wherein the system comprises: the system comprises a data acquisition module, a database module, a power grid end, a power plant end and a system management module;
the power plant end provides three power plant user interfaces;
the power grid end is used for reporting information, regulating and monitoring, settling reports, peak regulation recording, acquiring and storing real-time information and carrying out statistical analysis;
the system management module is used for carrying out user management, role management, authority management and dictionary management;
the data acquisition module is used for actively acquiring real-time peak shaving data and uploading a peak shaving data file;
the database module is used for storing and managing data.
Further, the system management module is arranged at the power grid end.
Further, in the role management, association between roles and web interfaces can be performed, so that different web interfaces, corresponding roles and different power plant information are associated.
Furthermore, users with different roles can only report the relevant interfaces of the power plant after logging in.
Further, the database module adopts a dual-computer hot standby working mode.
Further, the database module comprises two different database servers.
Further, the actual addresses of the two database servers are different.
A peak shaving aid method, wherein the method is applied to the system according to any one of claims 1 to 7; the method comprises the following steps:
setting two database servers, namely a first database server and a second database server; the two different database servers are heterogeneous servers, wherein a first database server has a greater computing capacity than a second database server; the storage capacity of the second database server is greater than that of the first database server; the database module monitors switching parameters, determines whether switching conditions are met or not based on the monitored switching parameters and historical switching parameters, and switches the states of the first database server and the second database server after the switching conditions are met; the second database server is in an active state in a time period of the data storage set, and only data calculation and mass data storage are carried out by the second database server at the time; during the time period of the data calculation set, the second database is in a dormant state, and the first database server performs a large amount of data calculation work and a small amount of data storage.
Further, the state switching refers to switching between an active state and a dormant state.
Further, the switching parameters are the read-write frequency and the average load of the processor.
According to the invention, a dual-machine mutual backup and dual-machine duplex mode is adopted, on one hand, a certain regulation rate requirement can be met, and the peak shaving service provided by the unit output or the unit running state is smoothly and stably regulated according to the planned load change requirement of the power grid; on the other hand, two or more heterogeneous database servers are set to switch between the servers based on the peak shaving service working characteristics, and hardware resources are fully utilized. In addition, a diversified information reporting interface is provided, and the requirements of different demanders are met.
[ description of the drawings ]
In order to illustrate the embodiments of the present invention more clearly, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings can be obtained by those skilled in the art without inventive effort.
Fig. 1 is a schematic system structure diagram of a peak shaving assistance system according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a data flow architecture of a peak shaving assistance system according to an embodiment of the present invention;
[ detailed description ] A
The present invention will now be described in detail with reference to the drawings and specific embodiments, wherein the exemplary embodiments and descriptions are only intended to illustrate the present invention, but not to limit the present invention.
The core of the present invention is to provide a peak regulation assisting system, and in order to make those skilled in the art better understand the scheme of the present invention, the present invention will be further described in detail with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1 and 2, the peak shaving auxiliary system adopts dual-computer hot standby, dual-computer mutual standby and/or dual-computer duplex, where the dual-computer hot standby refers to a host + a standby, and two servers are installed with the same system and application software and provide services to the outside by a virtual name, but only one server is active at a time, and the other server is in a dormant state. When a fault occurs, the backup server takes over the work through the detection and switching functions of the dual-computer software;
the dual-machine mutual backup means that the host machine (standby machine) + the standby machine (host machine), the two servers are provided with the same system and application software, part of the system and part of the application software are applied to the host machine and part of the application software are applied to the standby machine, the two machines run simultaneously in a relatively independent mode, but the two machines are set as the standby machines, when one server breaks down, the other server can take over the application of the broken-down server in a short time, and therefore the continuity and the stability of the application are guaranteed;
the dual-machine duplex means that two machines run simultaneously, namely, in one form of the current cluster, two or more servers are all active and run the same application at the same time, so that the overall performance is ensured, and load balance and mutual backup are realized; the disk cabinet storage technology is required to be utilized;
the peak shaving aid system includes: the system comprises a data acquisition module, a database module, a power grid end, a power plant end and a system management module;
the power plant-side user interface;
the power plant user interface is a file reporting interface providing an FTP mode and a web interface used for reporting the file; the method comprises the following specific steps: the power plant end provides an information reporting function, a power plant user reports bidding information and adjustable interval information of the next day every day, reporting time can be controlled through system number setting, and defaults to 8-10 points every day; if no record is reported before, the default information appointed by the default of the system is taken as the standard;
the power grid end is used for reporting information, regulating and monitoring, settling reports, peak regulation recording, acquiring and storing real-time information and carrying out statistical analysis; the power grid end user can check the information reported by each plant in the role of the management level, and monitors, analyzes and checks the information such as the allocation and compensation of each power plant according to the formulated rule.
The system management module is used for carrying out user management, role management, authority management and dictionary management; preferably: the system management module is arranged at the power grid end; in the role management, association between roles and web interfaces can be performed, so that different web interfaces, corresponding roles and different power plant information are associated, user experience of different users for accessing the system is improved, and users with different roles can only report interfaces related to the power plants after logging in;
the user management is the management of a user account; the settlement report is used for settling based on the data acquired from the database module and forming a report; the peak regulation record is used for temporarily storing the peak regulation data record;
the data acquisition module is used for actively acquiring real-time peak shaving data and uploading peak shaving data files; preferably: the method comprises real-time data acquisition and E file acquisition based on an FTP mode; the data acquisition module is used for acquiring at regular time and reading and analyzing;
the database module is used for storing and managing data; the working mode of dual-computer hot standby is adopted: the database module comprises two different database servers, the actual addresses of the two database servers are different, a virtual IP address is provided through IP address virtual alignment, and the virtual IP address is different from the actual addresses of the two database servers; considering that the peak shaving aid has the time peak characteristic, the efficiency is obviously not high by adopting the traditional double-machine hot standby working mode; therefore, the dual-computer hot standby is required to be carried out based on the peak value of the peak shaving aid;
one way is that: setting two database servers, namely a first database server and a second database server; the two different database servers are heterogeneous servers, wherein a first database server has a greater computing capacity than a second database server; the storage capacity of the second database server is greater than that of the first database server; the database module monitors switching parameters, determines whether switching conditions are met or not based on the monitored switching parameters and historical switching parameters, and switches the states of the first database server and the second database server after the switching conditions are met; the state switching refers to the switching between an active state and a dormant state; in this way, the second database server is in an active state during the time period of data storage concentration, and at the moment, the second database server only performs basic data calculation and mass data storage; in a time period of data calculation centralization, the second database is in a dormant state, and at the moment, the first database server performs a large amount of data calculation work and a small amount of data storage;
the switching parameters are read-write frequency and average processor load, and respectively describe busy and idle degrees of a storage processor and a processor;
the determining whether the switching condition is satisfied based on the monitored switching parameter and the historical switching parameter specifically includes: acquiring a fitting curve of historical switching parameters based on a time axis, judging the deviation degree between the switching parameters and the fitting curve, determining that the switching conditions are uncertain when the deviation degree is greater than a preset value, and monitoring the continuous first number of switching parameters again, or determining whether the switching conditions are met based on time points corresponding to the switching parameters in the fitting curve and the switching parameters;
determining whether a switching condition is met or not based on a time point and a switching parameter corresponding to the switching parameter in the fitted curve, specifically, judging a first switching probability of switching under the condition of the time point in the history and a second switching probability of switching under the condition of the switching parameter in the history, determining that the switching condition is met when the first switching probability and/or the second switching probability are/is greater than a preset switching probability, and otherwise, determining that the switching condition is not met;
the repeated continuous monitoring of the first number of handover parameters specifically includes: acquiring a continuous first number of switching parameters in a first number of monitoring intervals in the future, acquiring an average switching parameter of the first number of switching parameters, taking the average switching parameter as the switching parameter, determining whether the switching condition is met based on the average switching parameter and a historical switching parameter by adopting the method for determining whether the switching condition is met, and requesting an emergency mechanism to determine whether a system is abnormal if the switching condition is not met;
preferably: the emergency mechanism is user feedback and system automatic emergency; requesting a user to participate in judging whether system abnormity occurs in user feedback;
preferably, the following components: a fourth number of database servers are arranged in the dual-computer hot standby working mode, the second number of database servers are active at one moment, and the third number of database servers are in a dormant state;
preferably: the second number plus the third number is a fourth number;
preferably: the second number plus the third number is less than the fourth number; other database servers are in a redundant state, and redundancy with failure, insufficient computing power and insufficient storage resources is carried out;
the power plant end provides a web interface through a web application server module; the web application server module comprises two different web application servers and adopts a dual-computer hot standby working mode; the actual addresses of the two web application servers are different, and virtual IP addresses are provided through IP address virtual alignment, wherein the virtual IP addresses are different from the actual addresses of the two web application servers; preferably: the application server module carries out validity check on the acquired reporting information, so that the reporting information is required to be within a valid range of parameter setting;
the peak shaving auxiliary system provided by the invention is described in detail above. The embodiments are described in a progressive mode in the specification, the emphasis of each embodiment is on the difference from the other embodiments, and the same and similar parts among the embodiments can be referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. The term "comprising", without further limitation, means that the element so defined is not excluded from the group consisting of additional identical elements in the process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and all equivalent changes or modifications of the structure, characteristics and principles described in the present invention are included in the scope of the present invention.
Claims (10)
1. A peak shaving assistance system, the system comprising: the system comprises a data acquisition module, a database module, a power grid end, a power plant end and a system management module;
the method comprises the following steps that dual-computer hot standby, dual-computer mutual standby and/or dual-computer duplex are adopted, wherein the dual-computer hot standby refers to a host computer and a standby computer, two servers are provided with the same system and application software, and provide services to the outside through a virtual name, but only one server is active at one time, and the other server is in a dormant state;
the power plant end provides a power plant user interface;
the power grid end is used for reporting information, regulating and monitoring, settling reports, peak regulation recording, acquiring and storing real-time information and carrying out statistical analysis;
the system management module is used for carrying out user management, role management, authority management and dictionary management;
the data acquisition module is used for actively acquiring real-time peak shaving data and uploading peak shaving data files;
the database module is used for storing and managing data;
setting two database servers, namely a first database server and a second database server; the two database servers are heterogeneous servers, wherein the first database server has a greater computing capacity than the second database server; the storage capacity of the second database server is greater than that of the first database server; the database module monitors switching parameters, determines whether switching conditions are met or not based on the monitored switching parameters and historical switching parameters, and switches the states of the first database server and the second database server after the switching conditions are met; the second database server is in an active state in a time period of the data storage set, and only data calculation and mass data storage are carried out by the second database server at the time; in a time period of data calculation centralization, the second database is in a dormant state, and at the moment, the first database server performs a large amount of data calculation work and a small amount of data storage;
the determining whether the switching condition is satisfied based on the monitored switching parameter and the historical switching parameter specifically includes: acquiring a fitting curve of historical switching parameters based on a time axis, judging the deviation degree between the switching parameters and the fitting curve, determining that the switching conditions are uncertain when the deviation degree is greater than a preset value, and monitoring the continuous first number of switching parameters again, or determining whether the switching conditions are met based on time points corresponding to the switching parameters in the fitting curve and the switching parameters;
determining whether a switching condition is met based on a time point corresponding to a switching parameter in a fitting curve and the switching parameter, specifically, judging a first switching probability for switching under the condition of the time point in a history and a second switching probability for switching under the condition of the switching parameter in the history, determining that the switching condition is met when the first switching probability and/or the second switching probability is greater than a preset switching probability, and otherwise, determining that the switching condition is not met;
the repeated continuous monitoring of the first number of handover parameters specifically includes: acquiring continuous first quantity of switching parameters in a first quantity of monitoring intervals in the future, acquiring average switching parameters of the first quantity of switching parameters, taking the average switching parameters as the switching parameters, determining whether the switching conditions are met based on the average switching parameters and historical switching parameters by adopting the method for determining whether the switching conditions are met, and requesting an emergency mechanism to determine whether system abnormity occurs if the switching conditions are not met.
2. The peak shaving aid system according to claim 1, wherein the system management module is disposed at a grid side.
3. The peak shaving aid system according to claim 2, wherein in the role management, association of roles and web interfaces is enabled, such that different web interfaces, corresponding roles, and different plant information are associated.
4. The peak shaving assistance system according to claim 3, wherein users in different roles can only report their power plant related interfaces after logging in.
5. The peak shaving aid system according to claim 4, wherein the database module operates in a dual-computer hot standby mode.
6. The peak shaving assistance system according to claim 5, wherein the database module comprises two different database servers.
7. The peak shaving aid system according to claim 6, wherein the actual addresses of the two database servers are different.
8. A peak shaving aid method, wherein the method is applied to the system according to any one of claims 1 to 7; the method comprises the following steps:
when a fault occurs, the backup server takes over the work through the detection and switching functions of the dual-computer software.
9. The peak shaving aid method according to claim 8, wherein the state switching is switching between an active state and a dormant state.
10. The peak shaving assistance method according to claim 9, wherein the switching parameters are a read/write frequency and an average processor load.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202126703U (en) * | 2011-06-15 | 2012-01-25 | 中国电力科学研究院 | Wind power optimization scheduling plan system |
| CN103516051A (en) * | 2013-10-11 | 2014-01-15 | 国家电网公司 | Centralized monitoring system platform for wind power plants |
| CN204791129U (en) * | 2015-05-01 | 2015-11-18 | 大连理工大学 | Many electric wire nettings peak regulation load distribution management system |
| CN207184066U (en) * | 2016-11-16 | 2018-04-03 | 华北电力大学 | The high motor-driven peak regulation accessory system of steam power plant based on variable element heat supply |
| CN109710678A (en) * | 2018-12-27 | 2019-05-03 | 成都电科智联科技有限公司 | A kind of real time data system and operation method of industry big data monitoring management |
| JP2019115249A (en) * | 2017-12-25 | 2019-07-11 | 赫普科技発展（北京）有限公司 | Method, apparatus, and system for frequency modulation in power grid |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8230249B2 (en) * | 2009-07-15 | 2012-07-24 | International Business Machines Corporation | Dynamic selection of server states for servers in a cluster of servers |
-
2019
- 2019-08-19 CN CN201910757662.6A patent/CN110490763B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202126703U (en) * | 2011-06-15 | 2012-01-25 | 中国电力科学研究院 | Wind power optimization scheduling plan system |
| CN103516051A (en) * | 2013-10-11 | 2014-01-15 | 国家电网公司 | Centralized monitoring system platform for wind power plants |
| CN204791129U (en) * | 2015-05-01 | 2015-11-18 | 大连理工大学 | Many electric wire nettings peak regulation load distribution management system |
| CN207184066U (en) * | 2016-11-16 | 2018-04-03 | 华北电力大学 | The high motor-driven peak regulation accessory system of steam power plant based on variable element heat supply |
| JP2019115249A (en) * | 2017-12-25 | 2019-07-11 | 赫普科技発展（北京）有限公司 | Method, apparatus, and system for frequency modulation in power grid |
| CN109710678A (en) * | 2018-12-27 | 2019-05-03 | 成都电科智联科技有限公司 | A kind of real time data system and operation method of industry big data monitoring management |
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