CN103927318A - Intelligent power utilization interaction system and method - Google Patents

Abstract

The present invention relates to an intelligent power consumption interactive system, comprising: an on-site monitoring module, which is used for on-site monitoring of the power consumption of industry and commerce, residents and distributed energy sources, and obtains power consumption data and encapsulates them into messages; a router is used for sending the messages Forwarding; communication cluster processing module, including multiple front-end processors, multiple front-end processors form a cluster, receive and pre-process the messages forwarded by the router, and store the pre-processing results; the comprehensive data processing module is used to process the pre-processing results Perform statistical analysis and obtain forecast data that affects the power supply and consumption of the grid; the power consumption decision-making module is used to generate a power consumption scheduling plan based on the analysis results and forecast data; the two-way interactive power consumption scheduling module is used to execute the power consumption scheduling plan, and analyze the execution results. The invention also relates to an intelligent power utilization interaction method. The present invention utilizes advanced communication, computer and network technologies to provide a feasible smart grid management solution for the power supply management departments of large and medium-sized cities.

Description

Intelligent Electric Power Interaction System and Method

technical field

The invention relates to power distribution technology, in particular to an intelligent power utilization interactive system, and also relates to an intelligent power utilization interactive method.

Background technique

In recent years, the rapid economic growth of our country has been accompanied by the problems of energy shortage and environmental deterioration. In order to improve energy utilization efficiency, reduce energy waste, and make full use of various clean energy sources, the country proposes and advocates smart grid and distributed energy grid-connected power generation.

In the operation of smart grid and the grid connection of distributed energy, it is necessary to carry out real-time monitoring and accurate two-way measurement of various electrical equipment, power generation equipment and energy storage equipment, and make full use of economic means such as time-of-use electricity price and ladder electricity price to achieve the best Good economic and social benefits. At the same time, with the development of smart grid and distributed energy, the number of users who need to be connected is increasing, and the average large and medium-sized cities can reach the order of one million.

Contents of the invention

Based on this, it is necessary to provide an intelligent power consumption interactive system, which can measure the electrical and non-electrical data of residential users, industrial and commercial users, and distributed energy in real time, and conduct centralized statistical analysis of the data to facilitate intelligent power consumption. two-way scheduling.

An intelligent power consumption interactive system, including: an on-site monitoring module, used for on-site monitoring of industrial and commercial, residential and distributed energy consumption, and obtaining power consumption data and packaging them into messages; a router, used for Forwarding; the communication cluster processing module includes multiple front-end processors, the multiple front-end processors form a cluster, receive and pre-process the message forwarded by the router, and store the pre-processing results; the comprehensive data processing module is used for processing Perform statistical analysis on the preprocessing results, and obtain forecast data affecting the power supply and consumption of the power grid; the power consumption decision-making module is used to generate a power consumption scheduling plan based on the analysis results and the forecast data; the two-way interactive power consumption scheduling module uses To execute the power consumption scheduling plan, and analyze the execution result.

In one of the embodiments, the on-site monitoring module includes: a residential electricity consumption monitoring unit, including a concentrator, and the concentrator is used to collect and store electricity consumption data collected by residents’ smart home devices; The monitoring unit includes a plurality of energy efficiency measurement devices and energy efficiency monitoring terminals. The energy efficiency measurement devices are used for real-time measurement and collection of electrical quantities and non-electrical quantities of industrial and commercial electrical equipment. The energy efficiency monitoring terminals are located at the The area where the energy efficiency measurement equipment is concentrated is used to collect the data collected by the energy efficiency measurement equipment, and in the area where the enterprise production line is concentrated, a plurality of the energy efficiency monitoring terminals are cascaded and data is summarized; the electrical quantity Including one or more of voltage, current, power, power factor, and electricity consumption, and the non-electrical quantity includes one or more of motor speed, fan pressure, steam temperature, and steam pressure; distributed energy monitoring unit , including an intelligent gateway, which is used to collect the on-grid power and off-grid power of one or more of distributed power generation equipment, distributed charging and discharging equipment, and distributed energy storage equipment, and perform distributed storage.

In one of the embodiments, the on-site monitoring module includes a physical interface connected to one or more of optical fiber, local area network, wireless network, cable television network and the Internet.

In one of the embodiments, the on-site monitoring module includes an embedded terminal composed of ARM and Linux.

In one of the embodiments, the on-site monitoring module includes a timing unit, and the timing unit is only allowed to be calibrated once a day.

It is also necessary to provide an intelligent power consumption interaction method.

An interactive method for intelligent power consumption, comprising the following steps: monitoring the power consumption of industry and commerce, residents and distributed energy sources, obtaining power consumption data and encapsulating it into a message, and sending the message to a router through the network; The message is forwarded to the front-end processor; the multiple front-end processors forming the cluster preprocess the message, and store the preprocessing result in the first-level real-time database; explain the message, and perform statistical analysis, and analyze the The result is stored in the secondary real-time database; the forecast data affecting the power supply and consumption of the grid is obtained; according to the analysis result and the forecast data, a power consumption dispatch plan is generated; the power dispatch plan is executed, and the execution result is analyzed.

In one of the embodiments, after the step of interpreting the message and performing statistical analysis, and storing the analysis results in the secondary real-time database, it also includes taking the analysis results from the secondary real-time database and writing them into the relationship The steps in the type database; the storage medium of the first-level real-time database and the second-level real-time database is a volatile memory, and the storage medium of the relational database is a non-volatile memory.

In one of the embodiments, the multiple front-end processors forming the cluster preprocess the message, and the step of storing the preprocessing result in a first-level real-time database includes performing a process on the message according to the IEC62056 protocol Classify, and use distributed storage to store preprocessing results in the memory of multiple servers in a redundant manner.

In one of the embodiments, the step of explaining the message, performing statistical analysis, and storing the analysis result in the secondary real-time database includes interpreting the message according to the IEC62056 protocol, obtaining the original data, and then analyzing the The original data is classified and packaged and stored in the secondary real-time database.

In one of the embodiments, in the step of the router forwarding the message to the front-end processor, the router does not interpret and judge the message, and forwards the data in a transparent manner.

The above-mentioned intelligent electricity interactive system, using advanced communication, computer and network technologies, provides a feasible smart grid management solution for the power supply management departments of large and medium-sized cities. It can make full use of various communication media, so that managers can grasp the operation status of the smart grid anytime and anywhere, and perform two-way interactive flexible scheduling of various users and distributed energy sources in the grid.

Description of drawings

Fig. 1 is a structural diagram of an intelligent electricity interactive system in an embodiment;

Fig. 2 is a flow chart of an interactive method for intelligent power consumption in an embodiment.

Detailed ways

In order to make the objects, features and advantages of the present invention more comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings.

In the embodiment of the present invention, the intelligent electricity interactive system measures and collects the electricity data and non-electricity data of residential users, industrial and commercial users, and distributed energy sources through remote transmission means, and uses a two-way interactive scheduling decision Electricity users and distributed energy resources can be dispatched remotely to give full play to the economic and social benefits of the smart grid.

Please refer to Fig. 1, which is a structural diagram of an intelligent power consumption interactive system in an embodiment, including an on-site monitoring module 10, a router 110, a communication cluster processing module 11, a comprehensive data processing module 12, a power consumption decision module 13 and a two-way interaction Electrical scheduling module 14.

The on-site monitoring module 10 adopts an embedded terminal, which is an embedded terminal composed of ARM and Linux in this embodiment, and can perform real-time measurement of the electric quantity and non-electrical quantity of various users and equipment on the spot, including online electric quantity, offline Power, voltage, current, power factor, charge and discharge status, energy storage status, etc., and then encapsulate the measured data into a message. The on-site monitoring module 10 can adapt to various physical channels, including optical fiber, local area network, wireless network, cable TV network, Internet and so on.

In this embodiment, the on-site monitoring module 10 includes a residential electricity monitoring unit 101 , an industrial and commercial electricity monitoring unit 102 and a distributed energy monitoring unit 103 .

Residential electricity consumption monitoring unit 101 is used to monitor residential electricity consumption, which includes a concentrator. In areas where residents are concentrated, smart home devices are used to collect the electricity consumption of various electrical appliances of residents, and concentrators are used to collect the electricity consumption of all residents in a community and perform distributed storage. Residential electricity consumption monitoring unit 101 supports distributed power grid metering for residents, and can provide remote control, security, entertainment and other smart home services.

The industrial and commercial power consumption monitoring unit 102 is used to monitor the electrical quantity data and non-electrical quantity data of industrial and commercial enterprises, wherein the electrical quantity includes voltage, current, power, power factor, power consumption, etc., and the non-electrical quantity includes motor speed, fan pressure, steam temperature, vapor pressure, etc. The industrial and commercial power consumption monitoring unit 102 includes a plurality of energy efficiency measurement devices and energy efficiency monitoring terminals. The energy efficiency measurement devices are used for real-time measurement and collection of electrical and non-electrical The area where the measurement equipment is concentrated is used to collect the data collected by the energy efficiency measurement equipment. In areas where enterprise production lines are concentrated, multiple energy efficiency monitoring terminals are cascaded and data aggregated.

The distributed energy monitoring unit 103 is used to monitor and control distributed power generation, charging and energy storage equipment. The distributed energy monitoring unit 103 includes an intelligent gateway. In the area where distributed power generation, charging and energy storage equipment are concentrated, the intelligent gateway is used to collect the off-grid power and on-grid power of various distributed devices, and perform distributed storage. The distributed energy monitoring unit 103 can perform two-way metering of off-grid and on-grid electricity, and supports time-of-use electricity prices and tiered electricity prices.

The on-site monitoring module 10 is provided with a timing unit, which can be calibrated by the master station. The daily timing error of the timing unit is ≤±1 second/day, and it is only allowed to be calibrated by the master station once a day. The time adjustment is only allowed once a day, for security reasons, to prevent the clock from being repeatedly modified maliciously, resulting in measurement errors.

The router 110 is used to forward the communication message of the on-site monitoring module 10 to the front-end processor in the local area network. In order to ensure that a large number of terminals communicate at the same time and have a faster response speed, the router 110 does not interpret or judge the communication messages, and uses a transparent method for data forwarding.

The communication cluster processing module 11 includes a cluster composed of multiple front-end processors, which jointly share the communication access and message processing tasks of the embedded terminals of the on-site monitoring module 10 . The communication cluster processing module 11 can connect millions of user terminals in real time. When the number of terminals increases, it only needs to increase the number of front-end processors. A high-speed LAN is used between the front-end computers to share the first-level real-time database, and the terminal equipment connected to the system is dynamically allocated to handle terminal access, disconnection, heartbeat, data transmission, event reporting, abnormal judgment, etc. Communication messages are preprocessed, classified according to the rules of IEC62056, and stored in the first-level real-time database. In this embodiment, the first-level real-time database adopts distributed storage and is redundantly stored in the memory of multiple servers, which not only improves the access speed, but also ensures that data will not be lost when some servers fail.

The intelligent electricity interactive system supports multiple methods of data collection, including wired network, wireless network, optical fiber, power carrier, etc. The control instructions to the on-site monitoring module 10 are sent in cipher text. On the upper layer of the network, the system establishes a network connection, and the on-site monitoring module 10 uses http and xml protocols to transmit data with the router 110 to ensure the reliability and ease of maintenance of the transmission mode.

On the communication channel, the intelligent power consumption interactive system spans three major networks, namely wireless network, wired network and power network, which closely connects the three, and at the same time has its own division of labor. When the data transmission command is transmitted from the master station system, the signal is in the form of a local area network; after entering the on-site monitoring module 10, the signal is transmitted on channels such as RS232, RS485, and M_BUS. Because of this, the system has done special processing on the reliability and security of signal transmission, including automatically selecting the optimal channel, encrypting signal messages, strictly authenticating user identities, and performing CRC on communication messages Calibration, etc., so as to ensure the accurate and safe transmission of control signals, avoid signal loss, mistransmission, and illegal use of data.

The comprehensive data processing module 12 further processes the message analysis results (preprocessing results) in the first-level real-time database, and calculates the power data of various users and equipment, counts the power status, and stores the results in the second-level real-time database. At the same time, the integrated data processing module 12 is connected with other systems to obtain data that may affect the power supply and consumption of the grid, such as grid power supply, weather forecast, large-scale enterprise production plans, and national macro policies, for use by the power consumption decision-making module 13 .

Specifically, the message processing program of the comprehensive data processing module 12 takes out the message from the first-level real-time library, interprets the message according to the IEC62056 protocol, and obtains various raw data, including: the current power consumption and the cumulative power consumption of the residential users Quantity, electricity corresponding to each tiered electricity price, power quality, smart home operating status, interruptible load, etc., industrial and commercial users' production electricity consumption, living electricity, maximum demand, direct control load, self-provided power generation, self-provided energy storage Equipment capacity, motor speed, steam temperature, etc., distributed power supply operating status, energy storage capacity, maximum load, etc. Then classify and package these raw data, for example, they can be classified according to the user's region, industry, scale, category, etc., and then stored in the secondary real-time database. In this embodiment, the storage media of the first-level real-time database and the second-level real-time database are volatile memories, which can provide faster access speeds than non-volatile memories.

The power consumption decision-making module 13 reads the data in the secondary real-time database, and formulates a scientific power consumption scheduling plan based on economic levers such as real-time electricity price, time-of-use electricity price, and ladder electricity price, combined with the current electricity load, for residential users, industrial and commercial users , Distributed power generation equipment, charging equipment and energy storage equipment are managed in a unified manner, and the plans and progress of power consumption, power generation and charging are adjusted.

The two-way interactive electricity dispatching module 14 utilizes the high-speed data network to send the electricity dispatching data to the community energy management system, the industrial and commercial energy management system, and the distributed energy management system according to the electricity dispatching plan, and controls the smart grid level by level through these systems. Participants, adjust the time of power consumption or discharge, so that the entire grid can reach the safest and most economical operating state, and analyze the execution results.

In this embodiment, the intelligent electricity interactive system will also write the data of the secondary real-time database into the relational database for permanent storage, so as to perform statistical analysis when needed. The storage medium of the relational database is non-volatile memory, and its access speed is not as fast as that of the real-time database, but the data can be stored permanently, and the data will not be lost after power failure, which is not available in the real-time database. Therefore, the intelligent power consumption interactive system specially designs a background thread to permanently store data in a relational database when needed. This combination of real-time database and relational database not only meets the requirements for fast access to real-time data, but also meets the requirements for permanent storage of historical data.

The comprehensive data processing module 12 stores the original data in the secondary real-time database instead of the relational database, because the real-time database can provide faster access speed, and the operation of the electricity dispatching plan requires a large amount of original data, and the data access speed There are high demands. The second-level real-time library ensures the timeliness and integrity of the scheduling plan, and avoids the slow speed of the relational database and the impact of poor concurrency on the computing speed.

The system architecture of the above-mentioned intelligent electricity interactive system is J2EE data service technology, which is forward-looking in terms of architecture and network organization mode. The communication means adopts the combination of wireless communication network and wired communication network to ensure the advanced nature of the system. Effectiveness of investment.

Concurrent transmission of data is a major bottleneck in general network application systems. Since a large system has a huge number of data measurement devices in practical applications, the premise of ensuring a high transmission success rate is to solve the communication blockage of concurrent transmission. The above-mentioned intelligent power consumption interactive system adopts an enterprise-level data collection and data service release software framework based on the J2EE framework. The system can support high-intensity concurrent data transmission and data services, and supports massive data queries, and has extremely high practicability.

The intelligent electric power interactive system which supports the access of millions of users utilizes advanced communication technology, computer and network technology, and provides a feasible intelligent grid management solution for the power supply management departments of large and medium-sized cities. It can make full use of various communication media, so that managers can grasp the operation status of the smart grid anytime and anywhere, and perform two-way interactive flexible scheduling of various users and distributed energy sources in the grid.

The above-mentioned intelligent electricity interactive system transmits data based on network, optical fiber, small wireless, ZigBee and other communication methods; and based on the data service of J2EE framework, it solves the bottleneck problem of concurrent transmission and provides powerful data service and data service based on J2EE Web Data Service verify. By adopting the present invention, the operating cost of the intelligent electricity interactive system can be greatly reduced, the reliability and safety can be greatly improved, the system can be truly practical, the automation level of smart grid management can be improved, and the power supply management department can be improved. economic and social benefits.

The above-mentioned intelligent power consumption interactive system provides an efficient, real-time, and flexible means of intelligent power consumption access, improves the interactivity of the intelligent power consumption interactive system, and accurately grasps the operating status of residents, industrial and commercial users, and distributed energy sources. Carry out two-way interactive management, and implement plug-and-play management of distributed energy. It can make the operation of the smart grid safer and more reliable, make the two-way scheduling decision-making of smart electricity more scientific, and make the utilization of distributed energy have better economic and social benefits.

Fig. 2 is a flow chart of an interactive method for intelligent power consumption in an embodiment, including the following steps:

S210, monitor the power consumption situation, obtain the power consumption data and encapsulate it into a message, and send the message to the router through the network.

On-site monitoring of electricity consumption by industry, commerce, residents, and distributed energy sources, obtaining electricity consumption data and packaging them into communication messages.

S220. The router forwards the packet to the front-end processor.

The router forwards the communication message generated by the on-site monitoring module to the front-end processor in the LAN, because it is necessary to ensure that a large number of terminals communicate at the same time, and there must be a faster response speed. The router does not interpret or judge the communication message. Data forwarding in a transparent manner.

S230, multiple front-end processors forming a cluster preprocess the message, and store the preprocessing result in a first-level real-time database.

Multiple front-end processors in the LAN cooperate with each other to jointly process the communication requests of the terminals and share the network load. When the number of on-site terminals increases, it is only necessary to increase the number of front-end processors. The front-end processor preprocesses the communication messages according to the preset rules, classifies them according to the rules of IEC62056, and stores them in the first-level real-time database. In this embodiment, the first-level real-time database adopts distributed storage and is stored redundantly in the memory of multiple servers, which not only improves the access speed, but also ensures that data will not be lost when some servers fail.

The system supports multiple ways of data collection, including wired network, wireless network, optical fiber, power carrier, etc. The system is connected to the on-site terminal, and the control command is sent in cipher text. On the upper layer of the network, the system establishes a network connection and uses http and xml protocols for transmission to ensure the reliability and ease of maintenance of the transmission method.

On the communication channel, the intelligent power consumption interactive system spans three major networks, namely wireless network, wired network and power network, which closely connects the three, and at the same time has its own division of labor. When the data transmission command is transmitted from the master station system, the signal is in the form of a local area network; after entering the terminal, the signal is transmitted on channels such as RS232, RS485, and M_BUS. Because of this, the system has done special processing on the reliability and security of signal transmission, including automatically selecting the optimal channel, encrypting signal messages, strictly authenticating user identities, and performing CRC on communication messages Calibration, etc., so as to ensure the accurate and safe transmission of control signals, avoid signal loss, mistransmission, and illegal use of data.

S240, interpreting the message, performing statistical analysis, and storing the analysis result in a secondary real-time database.

Take out the message from the first-level real-time database, interpret the message one by one according to the IEC62056 protocol, and obtain various raw data, including: current electricity consumption of residential users, accumulated electricity consumption, corresponding electricity under each tiered electricity price, power quality, Smart home operating status, interruptible load, etc., industrial and commercial users' production electricity consumption, living electricity, maximum demand, direct control load, self-provided power generation, self-provided energy storage equipment capacity, motor speed, steam temperature, etc., distributed The operating status of the power supply, energy storage capacity, maximum load, etc. Then classify and package these raw data, for example, they can be classified according to the user's region, industry, scale, category, etc., and then stored in the secondary real-time database. In this embodiment, the storage media of the first-level real-time database and the second-level real-time database are volatile memories, which can provide faster access speeds than non-volatile memories.

S250. Obtain forecast data affecting power supply and consumption of the power grid.

Obtain data such as grid power supply, weather forecast, large-scale enterprise production plans, and national macro policies that may affect grid power supply and consumption.

S260, generating an electricity dispatch plan according to the analysis result and the forecast data.

Read the data in the secondary real-time database, and formulate a scientific electricity dispatch plan based on economic leverage such as real-time electricity price, time-of-use electricity price, and ladder electricity price, combined with the current electricity load, for residential users, industrial and commercial users, and distributed power generation equipment. , charging equipment and energy storage equipment for unified management, and adjust the plan and progress of electricity consumption, power generation and charging.

S270. Execute the power consumption scheduling scheme, and analyze the execution result.

Using the high-speed data network, according to the electricity scheduling plan, the electricity scheduling data is sent to the community energy management system, the industrial and commercial energy management system and the distributed energy management system, and through these systems, the participants of the smart grid are controlled step by step to adjust the electricity consumption or Discharge time, so that the entire grid reaches the safest and most economical operating state, and analyze the execution results.

In this embodiment, after step S240, step S242 is further included: fetching the analysis result from the secondary real-time database and writing it into the relational database. Wherein, the storage medium of the relational database is a non-volatile memory.

In step S240, the original data is stored in the secondary real-time database instead of the relational database, because the real-time database can provide faster access speed, and the calculation of the power consumption dispatching scheme requires a large amount of original data, and the data access speed is very high. requirements. The second-level real-time library ensures the timeliness and integrity of the scheduling plan, and avoids the slow speed of the relational database and the impact of poor concurrency on the computing speed. Step S242 writes the data of the secondary real-time database into the relational database for permanent storage, so as to perform statistical analysis when needed. The storage medium of a relational database is a non-volatile memory, and its access speed is not as fast as that of a real-time database, but the data can be stored permanently, and the data will not be lost after shutdown, which is not available in a real-time database. This combination of real-time database and relational database not only meets the requirements for fast access to real-time data, but also meets the requirements for permanent storage of historical data.

The above-mentioned embodiments only express several implementation modes of the present invention, and the description thereof is relatively specific and detailed, but should not be construed as limiting the patent scope of the present invention. It should be pointed out that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention should be based on the appended 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.