CN103927318A - Intelligent power utilization interaction system and method - Google Patents
Intelligent power utilization interaction system and method Download PDFInfo
- Publication number
- CN103927318A CN103927318A CN201310549288.3A CN201310549288A CN103927318A CN 103927318 A CN103927318 A CN 103927318A CN 201310549288 A CN201310549288 A CN 201310549288A CN 103927318 A CN103927318 A CN 103927318A
- Authority
- CN
- China
- Prior art keywords
- electricity consumption
- data
- message
- power utilization
- intelligent power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 16
- 230000003993 interaction Effects 0.000 title claims abstract description 11
- 238000012544 monitoring process Methods 0.000 claims abstract description 58
- 238000004891 communication Methods 0.000 claims abstract description 32
- 230000002452 interceptive effect Effects 0.000 claims abstract description 28
- 238000012545 processing Methods 0.000 claims abstract description 20
- 238000004458 analytical method Methods 0.000 claims abstract description 17
- 230000005611 electricity Effects 0.000 claims description 72
- 238000003860 storage Methods 0.000 claims description 19
- 238000005259 measurement Methods 0.000 claims description 18
- 238000004146 energy storage Methods 0.000 claims description 10
- 238000007600 charging Methods 0.000 claims description 9
- 239000000203 mixture Substances 0.000 claims description 9
- 239000013307 optical fiber Substances 0.000 claims description 6
- 238000010248 power generation Methods 0.000 claims description 6
- 238000004519 manufacturing process Methods 0.000 claims description 5
- 230000003203 everyday effect Effects 0.000 claims description 4
- 238000007599 discharging Methods 0.000 claims description 3
- 238000007726 management method Methods 0.000 abstract description 18
- 238000005516 engineering process Methods 0.000 abstract description 6
- 230000002457 bidirectional effect Effects 0.000 abstract description 4
- 238000007781 pre-processing Methods 0.000 abstract 3
- 238000004806 packaging method and process Methods 0.000 abstract 1
- 230000005540 biological transmission Effects 0.000 description 11
- 230000008901 benefit Effects 0.000 description 9
- 238000004321 preservation Methods 0.000 description 4
- 241000239290 Araneae Species 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000002688 persistence Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000008054 signal transmission Effects 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000011278 co-treatment Methods 0.000 description 1
- 238000013524 data verification Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000005538 encapsulation Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000021715 photosynthesis, light harvesting Effects 0.000 description 1
Classifications
-
- 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
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
-
- 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
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/282—Hierarchical databases, e.g. IMS, LDAP data stores or Lotus Notes
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Water Supply & Treatment (AREA)
- Tourism & Hospitality (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Primary Health Care (AREA)
- Marketing (AREA)
- Human Resources & Organizations (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to an intelligent power utilization interaction system comprising a field monitoring module, a router, a communication cluster processing module, a comprehensive data processing module, a power utilization decision module, and a bidirectional interactive power utilization scheduling module. The field monitoring module is used for monitoring power utilization conditions of industry and commerce, residents and distributed energy resources, acquiring power utilization data and packaging the data into messages; the router is used for forwarding the messages; the communication cluster processing module comprises a plurality of front units forming a cluster and is used for receiving and preprocessing the messages forwarded by the router and storing preprocessing results; the comprehensive data processing module is used for statistically analyzing the preprocessing results and acquiring prediction data which affects grid supplied power; the power utilization decision module is used for generating a power utilization scheduling scheme according to analysis results and prediction data; the bidirectional interactive power utilization scheduling module is used for executing the power utilization scheduling scheme and analyzing execution results. The invention further relates to an intelligent power utilization interaction method. A feasible intelligent grid management solution is provided for power supply management departments in medium and large sized cities by means of advanced communication, computer and network technologies.
Description
Technical field
The present invention relates to distribution technique, particularly relate to a kind of intelligent power interactive system, also relate to a kind of intelligent power exchange method.
Background technology
Recent years, when the fast economic growth of China, be also accompanied by the problem that has produced energy shortage and ecological deterioration.For efficiency of energy utilization is provided, reduce energy dissipation, simultaneously in order to make full use of all kinds of clean energy resourcies, country proposes and advocates intelligent grid and distributed energy generates electricity by way of merging two or more grid systems.
In intelligent grid operation and distributed energy online, need to carry out Real-Time Monitoring, accurate bidirectional measuring to all kinds of consumers, generating set and energy storage device, and make full use of the economic means such as tou power price, step price, to reach best economic benefit and social benefit.Meanwhile, along with the development of intelligent grid and distributed energy, need the number of users of access more and more, general big and medium-sized cities all can reach 1,000,000 orders of magnitude.
Summary of the invention
Based on this, be necessary to provide a kind of intelligent power interactive system, the electric parameters to resident, industry and commerce user and distributed energy and non-electric quantity data are carried out real-time measurement, and data are concentrated to statistical study, are beneficial to the bi-directional scheduling of intelligent power.
A kind of intelligent power interactive system, comprising: field monitoring module, and for the electricity consumption situation of field monitoring industry and commerce, resident and distributed energy, obtain electricity consumption data and be packaged into message; Router, for forwarding described message; Communication cluster processing module, comprises many front end processors, described many front end processors composition cluster, receive and pre-service described in the message that forwards of router, and store pre-service result; Integrated data processing module, for described pre-service result is carried out to statistical study, and obtains the predicted data that affects electrical network confession electricity consumption; Electricity consumption decision-making module, for according to analysis result and described predicted data, generates electricity consumption scheduling scheme; Two-way interaction electricity consumption scheduler module, for carrying out described electricity consumption scheduling scheme, and analyzes execution result.
In an embodiment, described field monitoring module comprises therein: residential electricity consumption monitoring means, comprise concentrator, and the electricity consumption data that described concentrator gathers for the intelligent home device of collecting resident are also carried out distributed storage; Industry and commerce electricity consumption monitoring unit, comprise multiple efficiency measurement equipments and energy efficiency monitoring terminal, described efficiency measurement equipment carries out real-time measurement and collection for electric parameters and non-electric quantity to industry and commerce consumer, described energy efficiency monitoring terminal is located at the concentrated region of described efficiency measurement equipment, the data that gather for collecting described efficiency measurement equipment are carried out cascade and carry out data and gather between the concentrated region of enterprise's production line is to multiple described energy efficiency monitoring terminals; Described electric parameters comprises one or more of voltage, electric current, power, power factor, power consumption, and described non-electric quantity comprises one or more in motor speed, blower pressure, vapor (steam) temperature, vapor pressure; Distributed energy monitoring means, comprises intelligent gateway, for collecting one or more electricity volume and off line electric weight of distributed power generation equipment, distributed charging/discharging apparatus, distributed energy storage equipment, and carries out distributed storage.
Therein in an embodiment, described field monitoring module comprises one or more the physical interface connecting in optical fiber, LAN (Local Area Network), wireless network, cable television network and internet.
In an embodiment, described field monitoring module comprises the built-in terminal being made up of ARM and Linux therein.
In an embodiment, described field monitoring module comprises timing unit therein, when described timing unit only allows by school every day once.
Also be necessary to provide a kind of intelligent power exchange method.
A kind of intelligent power exchange method, comprises the following steps: to monitor the electricity consumption situation of industry and commerce, resident and distributed energy, obtains electricity consumption data and is packaged into message, by network, described message is sent to router; Router by described message repeating to front end processor; Composition cluster many front end processors described message is carried out to pre-service, and by pre-service result store in one-level real-time data base; Explain described message, and carry out statistical study, analysis result is stored in secondary real-time data base; Obtain and affect the predicted data of electrical network for electricity consumption; According to described analysis result and described predicted data, generate electricity consumption scheduling scheme; Carry out described electricity consumption scheduling scheme, and analyze execution result.
Therein in an embodiment, the described message of described explanation, and carry out statistical study, and after analysis result is stored in to the step in secondary real-time data base, also comprises from described secondary real-time data base and take out analysis result, write the step in relevant database; The storage medium of described one-level real-time data base and secondary real-time data base is volatile memory, and the storage medium of described relevant database is nonvolatile memory.
Therein in an embodiment, many front end processors of described composition cluster carry out pre-service to described message, and by pre-service result store in the step of one-level real-time data base, comprise according to IEC62056 stipulations described message classified, and adopt distributed storage with the mode of redundancy by pre-service result store in the internal memory of multiple servers.
Therein in an embodiment, the described message of described explanation, and carry out statistical study, analysis result is stored in to the step in secondary real-time data base, comprise according to IEC62056 stipulations and carry out message explanation, obtain raw data, then to described raw data sort out and encapsulate after be stored in described secondary real-time data base.
In an embodiment, described router is by described message repeating in the step to front end processor therein, and router does not make an explanation and judges message, adopts transparent mode to carry out data retransmission.
Above-mentioned intelligent power interactive system, utilizes advanced communication, computing machine and network technology, for the power supply management department of each large-and-medium size cities provides a practicable intelligent grid rwan management solution RWAN.It can make full use of all kinds of communication medias, makes supvr can grasp anywhere or anytime the running status of intelligent grid, to the flexible dispatching that in electrical network, all types of user, various distributed energy carry out two-way interaction.
Brief description of the drawings
Fig. 1 is the structural drawing of intelligent power interactive system in an embodiment;
Fig. 2 is the process flow diagram of intelligent power exchange method in an embodiment.
Embodiment
For object of the present invention, feature and advantage can more be become apparent, below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in detail.
In embodiments of the present invention, intelligent power interactive system is by remote transmission means, electric quantity data to resident, industry and commerce user and distributed energy and non electrical quantity data measure and gather, and utilize two-way interaction scheduling decision algorithm, electricity consumption user and distributed energy are carried out to remote scheduling, give full play to economic benefit and the social benefit of intelligent grid.
Refer to Fig. 1, it is the structural drawing of intelligent power interactive system in an embodiment, comprises field monitoring module 10, router one 10, communication cluster processing module 11, integrated data processing module 12, electricity consumption decision-making module 13 and two-way interaction electricity consumption scheduler module 14.
Field monitoring module 10 adopts built-in terminal, be the built-in terminal of ARM and Linux composition in the present embodiment, electric weight to all types of user and equipment and non-electric quantity carry out real-time measurement on the spot, comprise electricity volume, off line electric weight, voltage, electric current, power factor, charging and discharging state, energy storage state etc., then the data encapsulation recording is become to message.Field monitoring module 10 can adapt to various physical channel, comprises optical fiber, LAN (Local Area Network), wireless network, cable television network, internet etc.
In the present embodiment, field monitoring module 10 comprises residential electricity consumption monitoring means 101, industry and commerce electricity consumption monitoring unit 102 and distributed energy monitoring means 103.
Residential electricity consumption monitoring means 101 is for monitoring residential electricity consumption condition, and it comprises concentrator.In the concentrated region of resident, utilize intelligent home device to collect the power consumption of the each electric appliances of resident, utilize concentrator to collect all residential electricity consumption conditions of Yi Ge community, and carry out distributed storage.Residential electricity consumption monitoring means 101 is supported network metering on resident's distributed power source, and the Smart Home services such as remote control, security protection, amusement can be provided.
Industry and commerce electricity consumption monitoring unit 102 is for monitoring electrical data and the non-electric quantity data of industrial and commercial enterprises, wherein electric parameters comprises voltage, electric current, power, power factor, power consumption etc., and non-electric quantity comprises motor speed, blower pressure, vapor (steam) temperature, vapor pressure etc.Industry and commerce electricity consumption monitoring unit 102 comprises multiple efficiency measurement equipments and energy efficiency monitoring terminal, efficiency measurement equipment carries out real-time measurement and collection for electric parameters and non-electric quantity to industry and commerce consumer, energy efficiency monitoring terminal can be installed on the concentrated region of efficiency measurement equipment, the data that gather for collecting efficiency measurement equipment.In the concentrated region of enterprise's production line, to carrying out cascade between multiple energy efficiency monitoring terminals and carrying out data and gather.
Distributed energy monitoring means 103 is for monitoring and control distributed power generation, charging and energy storage device.Distributed energy monitoring means 103 comprises intelligent gateway, in the concentrated region of distributed power generation, charging and energy storage device, utilizes intelligent gateway to collect off line electric weight and the electricity volume of all kinds of distributed apparatus, and carries out distributed storage.Distributed energy monitoring means 103 can carry out bidirectional measuring to off line and electricity volume, and supports tou power price and step price.
Field monitoring module 10 is provided with timing unit, can be by main website school time.Error of time of day≤± 1 second/day of timing unit, while only allowing every day by main website school 1 time.When only allow school every day 1 time is for security consideration, prevents from repeatedly being revised clock by malice, causes measuring error.
Router one 10 is for being transmitted to the communication packet of field monitoring module 10 front end processor of LAN (Local Area Network).For ensureing large batch of terminal simultaneous communications, and will have response speed faster, router one 10 does not make an explanation or judges communication packet, adopts transparent mode to carry out data retransmission.
Communication cluster processing module 11 comprises the cluster of many front end processor compositions, jointly shares communication access and the message Processing tasks of the built-in terminal of field monitoring module 10.Communication cluster processing module 11 can connect the user terminal of 1,000,000 orders of magnitude in real time, in the time that terminal quantity increases, only needs to increase front end processor quantity.Between front end processor, adopt high-speed local area network, share one-level real-time data base, the terminal device of connecting system is carried out to dynamic assignment, the work such as processing terminal access respectively, disconnection, heartbeat, data transmission, reporting events, abnormal judgement, and communication packet is carried out to pre-service, classify according to the rule of IEC62056, leave one-level real-time data base in.In the present embodiment, one-level real-time data base adopts distributed storage, is stored in the internal memory of multiple servers in the mode of redundancy, has so both improved access speed, can guarantee that again data can not be lost in the time of part server fault.
Intelligent power interactive system supports that various ways carries out data acquisition, includes spider lines, wireless network, optical fiber, power carrier etc.The steering order of field monitoring module 10 is sent in the mode of ciphertext.On the upper strata of network, system made network connects, and field monitoring module 10 adopts http and xml agreement to carry out the data transmission between router one 10, ensures reliability and the ease for maintenance of transmission mode.
Intelligent power interactive system, on communication channel, is crossed over three macroreticulars, and wireless network, wired network and power network, be closely connected three, has one's own work to do again simultaneously.In the time that data transfer instruction spreads out of from main station system, the mode that signal is LAN (Local Area Network); Entering after field monitoring module 10, signal transmits on the passages such as RS232, RS485, M_BUS.Just because of this, system has been done special processing in the reliability of signal transmission, security, comprise the passage of automatic selection optimum, signal message is encrypted, user's identity is strictly authenticated, communication packet is carried out to CRC check etc., thereby ensure the transmission that control signal can be accurate, safe, avoid dropout, misinformation, avoid data to be illegally used.
Integrated data processing module 12 is further processed the message analysis result in one-level real-time data base (pre-service result), and calculates the electric quantity data of all types of user and equipment, and statistics energy state, deposits result in secondary real-time data base.Meanwhile, integrated data processing module 12 is connected with other system, and obtaining mains supply amount, weather forecast, large enterprise's production schedule, Macro-policy etc. may affect the data of electrical network for electricity consumption, uses for electricity consumption decision-making module 13.
Concrete, the mh of integrated data processing module 12 takes out message from the real-time storehouse of one-level, carry out message explanation according to IEC62056 stipulations, obtain all kinds of raw data, comprise: resident's current power consumption, accumulative total power consumption, corresponding electric weight under each step price, the quality of power supply, Smart Home running status, interruptible load etc., industry and commerce user's productive power amount, life electric weight, maximum demand, directly control overhead, provide generated energy for oneself, provide energy storage device capacity for oneself, motor speed, vapor (steam) temperature etc., the running status of distributed power source, stored energy capacitance, peak load etc.Then these raw data sorted out and encapsulated, such as classifying according to user's area, industry, scale, classification etc., then being stored in secondary real-time data base.In the present embodiment, the storage medium of one-level real-time data base and secondary real-time data base is volatile memory, and it can provide access speed faster with respect to nonvolatile memory.
Electricity consumption decision-making module 13 reads the data in secondary real-time data base, according to economic leverages such as Spot Price, tou power price, step prices, make the electricity consumption scheduling scheme of science in conjunction with current power load, resident, industry and commerce user, distributed power generation equipment, charging equipment and energy storage device are carried out to unified management, adjust scheme and the progress of electricity consumption, generating, charging.
Two-way interaction electricity consumption scheduler module 14 is utilized high speed data network, according to electricity consumption scheduling scheme, electricity consumption data dispatching is mail to community's energy management system, industry and commerce energy management system and distributed energy management system, and control step by step the participant of intelligent grid by these systems, regulate the time of electricity consumption or electric discharge, make whole electrical network reach safe, the most most economical running status, and analyze execution result.
In the present embodiment, intelligent power interactive system also can write relevant database by the data in the real-time storehouse of secondary, does permanent preservation, to carry out statistical study in needs.The storage medium of relevant database is nonvolatile memory, and its access speed, not as real-time data base, still can be carried out permanent preservation to data, and after power-off, data also can not be lost, and this characteristic is that real-time data base is not available.Therefore, intelligent power interactive system specialized designs background thread, in needs, data are permanently stored in relevant database.The mode that this real-time data base is combined with relevant database, had both met the requirement to real time data fast access, had met again the requirement to historical data persistence.
Raw data is stored in secondary real-time data base by integrated data processing module 12, instead of relevant database, be because real-time data base can provide access speed faster, and the computing of electricity consumption scheduling scheme need a large amount of raw data, data access speed is had to very high requirement.The real-time storehouse of secondary has ensured promptness and the integrality of scheduling scheme, avoided relevant database speed slow, on the poor impact on arithmetic speed of concurrency.
The system architecture of above-mentioned intelligent power interactive system is J2EE data service technology, in framework and network organization mode, have certain perspective, in means of communication, adopt the mode of cordless communication network and wireline communication network combination, to ensure the advance of system and the validity of investment.
The concurrent transmission of data is large bottlenecks for general network application system, and because large system in actual applications has the data volume measurement equipment of huge amount, the prerequisite that ensures high-transmission success ratio is the communication blocking that solves concurrent transmission.Above-mentioned intelligent power interactive system adopts the data acquisition based on J2EE framework basis and the data, services releasing software framework of enterprise-level, and this system can be supported high-intensity Data Concurrent transmission and data, services, supports mass data inquiry, has high practicality.
The present invention supports the intelligent power interactive system of 1,000,000 order of magnitude user accesses to utilize the advanced communication technology, computing machine and network technology, for the power supply management department of each large-and-medium size cities provides a practicable intelligent grid rwan management solution RWAN.It can make full use of all kinds of communication medias, makes supvr can grasp anywhere or anytime the running status of intelligent grid, to the flexible dispatching that in electrical network, all types of user, various distributed energy carry out two-way interaction.
The communication modes such as above-mentioned intelligent power interactive system is Network Based, optical fiber, small wireless, ZigBee transmit data; And data, services based on J2EE framework, solve concurrent transmission bottleneck problem, data, services and the data verification of the powerful Web Data Service based on J2EE are provided.Adopt the present invention, can make the operation cost of intelligent power interactive system reduce greatly, reliability and security are greatly improved, and make system really have practicality, improve the automatization level of intelligent grid management, improve economic benefit and the social benefit of power supply management department.
Above-mentioned intelligent power interactive system provide a kind of efficiently, in real time, the means of intelligent power access flexibly, improve the interactive of intelligent power interactive system, accurately grasp the running status of resident, industry and commerce user and distributed energy, electricity consumption is carried out to two-way interaction management, distributed energy is carried out to instant inserted and instant using type management.Can make the operation of intelligent grid more safe and reliable, make the decision-making of intelligent power bi-directional scheduling have more science, make distributed energy utilization there is better economic benefit and social benefit.
Fig. 2 is the process flow diagram of intelligent power exchange method in an embodiment, comprises the following steps:
S210, monitoring electricity consumption situation, obtains electricity consumption data and is packaged into message, by network, message is sent to router.
The electricity consumption situation of field monitoring industry and commerce, resident and distributed energy, obtains electricity consumption data and is packaged into communication packet.
S220, router forwards the packet to front end processor.
The communication packet that router generates field monitoring module is transmitted to the front end processor in LAN (Local Area Network), because ensure large batch of terminal simultaneous communications, and have response speed faster, router does not make an explanation or judges communication packet, adopt transparent mode to carry out data retransmission.
S230, composition cluster many front end processors message is carried out to pre-service, and by pre-service result store in one-level real-time data base.
Many front end processors in LAN (Local Area Network) cooperate with each other, and the communication request of co-treatment terminal, shares offered load.In the time that on-site terminal quantity increases, only need to increase front end processor quantity.Front end processor, according to the rule setting in advance, carries out pre-service by communication packet, and classifies according to the rule of IEC62056, leaves one-level real-time data base in.In the present embodiment, one-level real-time data base adopts distributed storage, is stored in the internal memory of multiple servers in the mode of redundancy, has so both improved access speed, ensures that again data can not be lost in the time of part server fault.
System supports that various ways carries out data acquisition, includes spider lines, wireless network, optical fiber, power carrier etc.System is connected to on-site terminal, and steering order is sent in the mode of ciphertext.On the upper strata of network, system made network connects, and adopts http and xml agreement to transmit, and ensures reliability and the ease for maintenance of transmission mode.
Intelligent power interactive system, on communication channel, is crossed over three macroreticulars, and wireless network, wired network and power network, be closely connected three, has one's own work to do again simultaneously.In the time that data transfer instruction spreads out of from main station system, the mode that signal is LAN (Local Area Network); Entering after terminal, signal transmits on the passages such as RS232, RS485, M_BUS.Just because of this, system has been done special processing in the reliability of signal transmission, security, comprise the passage of automatic selection optimum, signal message is encrypted, user's identity is strictly authenticated, communication packet is carried out to CRC check etc., thereby ensure the transmission that control signal can be accurate, safe, avoid dropout, misinformation, avoid data to be illegally used.
S240, explains message, and carries out statistical study, and analysis result is stored in secondary real-time data base.
From the real-time storehouse of one-level, take out message, carry out one by one message explanation according to IEC62056 stipulations, obtain all kinds of raw data, comprise: corresponding electric weight, the quality of power supply, Smart Home running status, interruptible load etc. under resident's current power consumption, accumulative total power consumption, each step price, industry and commerce user's productive power amount, life electric weight, maximum demand, directly control overhead, provide generated energy for oneself, provide energy storage device capacity, motor speed, vapor (steam) temperature etc. for oneself, the running status of distributed power source, stored energy capacitance, peak load etc.Then these raw data sorted out and encapsulated, such as classifying according to user's area, industry, scale, classification etc., then being stored in secondary real-time data base.In the present embodiment, the storage medium of one-level real-time data base and secondary real-time data base is volatile memory, and it can provide access speed faster with respect to nonvolatile memory.
S250, obtains and affects the predicted data of electrical network for electricity consumption.
Obtain mains supply amount, weather forecast, large enterprise's production schedule, Macro-policy etc. and may affect the data of electrical network for electricity consumption.
S260, according to analysis result and predicted data, generates electricity consumption scheduling scheme.
Read the data in secondary real-time data base, according to economic leverages such as Spot Price, tou power price, step prices, make the electricity consumption scheduling scheme of science in conjunction with current power load, resident, industry and commerce user, distributed power generation equipment, charging equipment and energy storage device are carried out to unified management, adjust scheme and the progress of electricity consumption, generating, charging.
S270, carries out electricity consumption scheduling scheme, and analyzes execution result.
Utilize high speed data network, according to electricity consumption scheduling scheme, electricity consumption data dispatching is mail to community's energy management system, industry and commerce energy management system and distributed energy management system, and control step by step the participant of intelligent grid by these systems, regulate the time of electricity consumption or electric discharge, make whole electrical network reach safe, the most most economical running status, and analyze execution result.
In the present embodiment, after step S240, also comprise step S242: take out analysis result from secondary real-time data base, write in relevant database.Wherein, the storage medium of relevant database is nonvolatile memory.
Raw data is stored in secondary real-time data base by step S240, instead of relevant database, be because real-time data base can provide access speed faster, and the computing of electricity consumption scheduling scheme need a large amount of raw data, data access speed is had to very high requirement.The real-time storehouse of secondary has ensured promptness and the integrality of scheduling scheme, avoided relevant database speed slow, on the poor impact on arithmetic speed of concurrency.The data in the real-time storehouse of secondary are write relevant database by step S242, does permanent preservation, to carry out statistical study in needs.The storage medium of relevant database is nonvolatile memory, and its access speed, not as real-time data base, still can be carried out permanent preservation to data, and after shutdown, data also can not be lost, and this characteristic is that real-time data base is not available.The mode that this real-time data base is combined with relevant database, had both met the requirement to real time data fast access, had met again the requirement to historical data persistence.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. an intelligent power interactive system, is characterized in that, comprising:
Field monitoring module, for the electricity consumption situation of field monitoring industry and commerce, resident and distributed energy, obtains electricity consumption data and is packaged into message;
Router, for forwarding described message;
Communication cluster processing module, comprises many front end processors, described many front end processors composition cluster, receive and pre-service described in the message that forwards of router, and store pre-service result;
Integrated data processing module, for described pre-service result is carried out to statistical study, and obtains the predicted data that affects electrical network confession electricity consumption;
Electricity consumption decision-making module, for according to analysis result and described predicted data, generates electricity consumption scheduling scheme;
Two-way interaction electricity consumption scheduler module, for carrying out described electricity consumption scheduling scheme, and analyzes execution result.
2. intelligent power interactive system according to claim 1, is characterized in that, described field monitoring module comprises:
Residential electricity consumption monitoring means, comprises concentrator, and the electricity consumption data that described concentrator gathers for the intelligent home device of collecting resident are also carried out distributed storage;
Industry and commerce electricity consumption monitoring unit, comprise multiple efficiency measurement equipments and energy efficiency monitoring terminal, described efficiency measurement equipment carries out real-time measurement and collection for electric parameters and non-electric quantity to industry and commerce consumer, described energy efficiency monitoring terminal is located at the concentrated region of described efficiency measurement equipment, the data that gather for collecting described efficiency measurement equipment are carried out cascade and carry out data and gather between the concentrated region of enterprise's production line is to multiple described energy efficiency monitoring terminals; Described electric parameters comprises one or more of voltage, electric current, power, power factor, power consumption, and described non-electric quantity comprises one or more in motor speed, blower pressure, vapor (steam) temperature, vapor pressure;
Distributed energy monitoring means, comprises intelligent gateway, for collecting one or more electricity volume and off line electric weight of distributed power generation equipment, distributed charging/discharging apparatus, distributed energy storage equipment, and carries out distributed storage.
3. intelligent power interactive system according to claim 1, is characterized in that, described field monitoring module comprises one or more the physical interface connecting in optical fiber, LAN (Local Area Network), wireless network, cable television network and internet.
4. intelligent power interactive system according to claim 1, is characterized in that, described field monitoring module comprises the built-in terminal being made up of ARM and Linux.
5. intelligent power interactive system according to claim 4, is characterized in that, described field monitoring module comprises timing unit, when described timing unit only allows by school every day once.
6. an intelligent power exchange method, comprises the following steps:
The electricity consumption situation of monitoring industry and commerce, resident and distributed energy, obtains electricity consumption data and is packaged into message, by network, described message is sent to router;
Router by described message repeating to front end processor;
Composition cluster many front end processors described message is carried out to pre-service, and by pre-service result store in one-level real-time data base;
Explain described message, and carry out statistical study, analysis result is stored in secondary real-time data base;
Obtain and affect the predicted data of electrical network for electricity consumption;
According to described analysis result and described predicted data, generate electricity consumption scheduling scheme;
Carry out described electricity consumption scheduling scheme, and analyze execution result.
7. intelligent power exchange method according to claim 6, it is characterized in that, the described message of described explanation, and carry out statistical study, after analysis result is stored in to the step in secondary real-time data base, also comprise from described secondary real-time data base and take out analysis result, write the step in relevant database; The storage medium of described one-level real-time data base and secondary real-time data base is volatile memory, and the storage medium of described relevant database is nonvolatile memory.
8. intelligent power exchange method according to claim 7, it is characterized in that, many front end processors of described composition cluster carry out pre-service to described message, and by pre-service result store in the step of one-level real-time data base, comprise according to IEC62056 stipulations described message classified, and adopt distributed storage with the mode of redundancy by pre-service result store in the internal memory of multiple servers.
9. intelligent power exchange method according to claim 6, it is characterized in that, the described message of described explanation, and carry out statistical study, analysis result is stored in to the step in secondary real-time data base, comprise according to IEC62056 stipulations and carry out message explanation, obtain raw data, then to described raw data sort out and encapsulate after be stored in described secondary real-time data base.
10. intelligent power exchange method according to claim 6, is characterized in that, described router is by described message repeating in the step to front end processor, and router does not make an explanation and judges message, adopts transparent mode to carry out data retransmission.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310549288.3A CN103927318B (en) | 2013-11-07 | 2013-11-07 | Intelligent power utilization interaction system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310549288.3A CN103927318B (en) | 2013-11-07 | 2013-11-07 | Intelligent power utilization interaction system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103927318A true CN103927318A (en) | 2014-07-16 |
| CN103927318B CN103927318B (en) | 2017-04-19 |
Family
ID=51145539
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310549288.3A Active CN103927318B (en) | 2013-11-07 | 2013-11-07 | Intelligent power utilization interaction system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103927318B (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104363278A (en) * | 2014-11-13 | 2015-02-18 | 许继电气股份有限公司 | Mass terminal communication access system |
| CN104468515A (en) * | 2014-10-31 | 2015-03-25 | 东北大学秦皇岛分校 | Intelligent substation communication method and system based on information center network |
| CN104460621A (en) * | 2014-12-06 | 2015-03-25 | 韩少茹 | Intelligent home power consumption management system based on smart power grid |
| CN104599090A (en) * | 2015-02-16 | 2015-05-06 | 国家电网公司 | Interactive power supply service system |
| CN104795899A (en) * | 2015-05-04 | 2015-07-22 | 深圳市科陆电子科技股份有限公司 | Electric energy data acquiring and processing system based on IEC62056 |
| CN104993585A (en) * | 2015-06-11 | 2015-10-21 | 国家电网公司 | Intelligent power grid control system |
| CN106203890A (en) * | 2016-07-27 | 2016-12-07 | 国网河南省电力公司电力科学研究院 | Battalion based on CIM auxiliary tone integration data modeling method |
| CN108055181A (en) * | 2018-01-18 | 2018-05-18 | 河南工程学院 | A kind of smart home wireless control system |
| CN108808746A (en) * | 2018-06-12 | 2018-11-13 | 湖北仁威电业科技有限公司 | A kind of energy-accumulating power station energy efficiency control system |
| CN109495578A (en) * | 2018-12-05 | 2019-03-19 | 贵州电网有限责任公司 | A kind of layering cluster processing system for electricity consumption acquisition system |
| CN116562597A (en) * | 2023-07-07 | 2023-08-08 | 北京国网电力技术有限公司 | Energy internet scheduling and controlling method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101795018A (en) * | 2009-12-31 | 2010-08-04 | 华北电力大学 | Visualization-based support system of electric network intelligent scheduling technique |
| US7831250B2 (en) * | 2006-07-11 | 2010-11-09 | Johnston Jr Ernest Burns | System and methods of integrating an overlay wireless data network canopy into a high bandwidth FTTX (fiber-to-the premises / curb / neighborhood) network |
| CN101951027A (en) * | 2010-09-01 | 2011-01-19 | 中国电力科学研究院 | Uniform data acquisition and monitoring system of low-medium voltage power distribution network |
| US20120066023A1 (en) * | 2011-02-22 | 2012-03-15 | Xia Mingyao | Green Energy Database Including Verifiable Information for Implementing a National Level Green Energy Policy |
| CN102684305A (en) * | 2012-05-17 | 2012-09-19 | 云南电力试验研究院（集团）有限公司电力研究院 | Method and terminal for realizing household-side intelligent power consumption policy |
-
2013
- 2013-11-07 CN CN201310549288.3A patent/CN103927318B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7831250B2 (en) * | 2006-07-11 | 2010-11-09 | Johnston Jr Ernest Burns | System and methods of integrating an overlay wireless data network canopy into a high bandwidth FTTX (fiber-to-the premises / curb / neighborhood) network |
| CN101795018A (en) * | 2009-12-31 | 2010-08-04 | 华北电力大学 | Visualization-based support system of electric network intelligent scheduling technique |
| CN101951027A (en) * | 2010-09-01 | 2011-01-19 | 中国电力科学研究院 | Uniform data acquisition and monitoring system of low-medium voltage power distribution network |
| US20120066023A1 (en) * | 2011-02-22 | 2012-03-15 | Xia Mingyao | Green Energy Database Including Verifiable Information for Implementing a National Level Green Energy Policy |
| CN102684305A (en) * | 2012-05-17 | 2012-09-19 | 云南电力试验研究院（集团）有限公司电力研究院 | Method and terminal for realizing household-side intelligent power consumption policy |
Non-Patent Citations (2)
| Title |
|---|
| CHALIN19871009: "智能电网", 《百度百科》 * |
| 曹军威等: "智能电网信息系统体系结构研究", 《计算机学报》 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104468515B (en) * | 2014-10-31 | 2017-10-24 | 许继集团有限公司 | A kind of intelligent transformer substation communication method and system based on information centre's network |
| CN104468515A (en) * | 2014-10-31 | 2015-03-25 | 东北大学秦皇岛分校 | Intelligent substation communication method and system based on information center network |
| CN104363278A (en) * | 2014-11-13 | 2015-02-18 | 许继电气股份有限公司 | Mass terminal communication access system |
| CN104460621A (en) * | 2014-12-06 | 2015-03-25 | 韩少茹 | Intelligent home power consumption management system based on smart power grid |
| CN104599090A (en) * | 2015-02-16 | 2015-05-06 | 国家电网公司 | Interactive power supply service system |
| CN104795899A (en) * | 2015-05-04 | 2015-07-22 | 深圳市科陆电子科技股份有限公司 | Electric energy data acquiring and processing system based on IEC62056 |
| CN104993585A (en) * | 2015-06-11 | 2015-10-21 | 国家电网公司 | Intelligent power grid control system |
| CN106203890A (en) * | 2016-07-27 | 2016-12-07 | 国网河南省电力公司电力科学研究院 | Battalion based on CIM auxiliary tone integration data modeling method |
| CN108055181A (en) * | 2018-01-18 | 2018-05-18 | 河南工程学院 | A kind of smart home wireless control system |
| CN108808746A (en) * | 2018-06-12 | 2018-11-13 | 湖北仁威电业科技有限公司 | A kind of energy-accumulating power station energy efficiency control system |
| CN109495578A (en) * | 2018-12-05 | 2019-03-19 | 贵州电网有限责任公司 | A kind of layering cluster processing system for electricity consumption acquisition system |
| CN116562597A (en) * | 2023-07-07 | 2023-08-08 | 北京国网电力技术有限公司 | Energy internet scheduling and controlling method |
| CN116562597B (en) * | 2023-07-07 | 2023-09-19 | 北京国网电力技术有限公司 | Energy internet scheduling and controlling method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103927318B (en) | 2017-04-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103927318B (en) | Intelligent power utilization interaction system and method | |
| Zhu et al. | Sharing renewable energy in smart microgrids | |
| Hussain et al. | Communication modeling of solar home system and smart meter in smart grids | |
| Guo et al. | Optimal power management of residential customers in the smart grid | |
| Mohamed et al. | Energy management and renewable energy integration in smart grid system | |
| CN102609791B (en) | The centralized long-range wind power forecasting system of scale based on cloud platform | |
| CN103346615B (en) | Based on plant stand end centralized control method and the device of intelligent telecontrol | |
| CN106357414B (en) | Information interacting method and system for base station electric generation management | |
| CN102157057A (en) | Wi-Fi (Wireless Fidelity)-based wireless meter reading device | |
| CN102855525A (en) | System and method for forecasting and analyzing load of resident user | |
| CN102298378B (en) | A kind of industrial park ordered electric management system and method | |
| US20200174435A1 (en) | Energy Information System, and Method and Device for Processing Energy Information | |
| Sadeghi et al. | Modeling of Smart Grid traffics using non-preemptive priority queues | |
| CN107832946A (en) | A kind of power energy monitoring and controlling for workshop and management method and system | |
| Ghasempour | Optimized scalable decentralized hybrid advanced metering infrastructure for smart grid | |
| CN104993585A (en) | Intelligent power grid control system | |
| Pan et al. | Edge-cloud computing application, architecture, and challenges in ubiquitous power Internet of Things demand response | |
| CN111610361A (en) | Electric power Internet of things random measurement system and method | |
| CN108257375B (en) | Power grid meter reading method and system | |
| Wang et al. | Research on integrated energy management and control system architecture based on local energy internet | |
| Kumar et al. | An optimized framework of the integrated renewable energy and power quality model for the smart grid | |
| CN102970178A (en) | Local communication performance analyzer of low-pressure concentrated meter reading terminal | |
| CN203261124U (en) | User side response system of smart power grid | |
| CN206820478U (en) | Based on the uncertain wind-powered electricity generation regulator control system contributed of wind-powered electricity generation | |
| CN110334900A (en) | Data processing method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |