CN103268115B - Electric power demand side supervisory system and method for supervising - Google Patents

Electric power demand side supervisory system and method for supervising Download PDF

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CN103268115B
CN103268115B CN201310236822.5A CN201310236822A CN103268115B CN 103268115 B CN103268115 B CN 103268115B CN 201310236822 A CN201310236822 A CN 201310236822A CN 103268115 B CN103268115 B CN 103268115B
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data
power
server
energy
load
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CN201310236822.5A
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CN103268115A (en
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杨东廷
孙国栋
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鲁电集团有限公司
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00Climate change mitigation technologies for sector-wide applications
    • Y02P80/10Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention discloses a kind of electric power demand side supervisory system and method for supervising.The present invention uses cloud computing technology, these power informations are formed a large power information resources pond, Accurate Prediction goes out electric load size, excavate energy conservation potential size exactly, for rational and orderly electricity consumption, electricity consumption efficiently and safely provides a guarantee of exerting oneself, thus reaches the object of sustainable electricity consumption.It comprises: client layer, for the difference of the power-economizing method of whole distribution system according to industry being divided; Data Layer, adopts intelligent load control terminal, for gathering the power consumer data of client layer; Service layer, adopts cloud computing technology and large data technique, for processing the data that process data Layer collects; Supervisory layers, the cloud of access service layer, for real-time monitoring power electric load, statistics electric power energy consumption, checks and managing power service condition, and checks the size of energy conservation potential, thus determine the type of service of energy-saving device.

Description

Electric power demand side supervisory system and method for supervising
Technical field
The present invention relates to a kind of electric power demand side supervisory system, be specifically related to a kind of electric power demand side supervisory system and method for supervising.
Background technology
Along with the fast development of economy, first, two, the power consumption of three industries strengthens year by year, and particularly electricity consumption of resident increases severely year by year, and imbalance between power supply and demand is more outstanding.Some areas, electric power becomes the main restriction condition of economic development.Electric load breach is large, and peak-valley difference increases.When rate of load condensate reduces, cause again generating set utilization factor low, coal for power generation consumption rate increases, and the cost of power production increases, and peak load regulation network is very difficult.
The electrical problems of China is very serious, the utilization factor improving electric energy is necessary, reply electric load breach can not only build entity power plant, the degree of depth is also wanted to excavate energy conservation potential, optimize electric energy use-pattern, improve the utilization rate of electric energy, or use other power-saving technology to replace electric energy, strive for filling up electric load breach with the electric energy saved, the energy efficiency power plant that namely construction one is virtual.
Therefore power-saving technique and electric power storage technology is widelyd popularize, electricity consumption during guiding user's low ebb; Strengthen and carry out time-of-use tariffs implementation dynamics, guide the ground electricity consumption of user's avoiding apex filling vale formula, utilize economic means to guide ordered electric.And be now more urgently, need a professional power demand side system, by research economic development situation, weather, the data that weather etc. are a large amount of, predict following workload demand amount, the energy conservation potential of distribution system can also be analyzed, strive for the breach filling up electric load by the power budget saved.
Demand Side Management, relate to a large amount of data, comprise policy, economy, weather, Changes in weather, operation of power networks parameter etc., so design and develop out a professional electric power demand side supervisory system, for Utilities Electric Co. and government process a large amount of Demand-side information, thus dope rational electric load size. instruct power consumer to have electricity in order; Can also work up rational energy-saving scheme according to these data, the degree of depth excavates energy conservation potential.Can also provide for the economizing on energy and electricity policy that government's formulation is relevant and prove scientifically and rationally.
The electric power dispatching system that existing market occurs mostly appears in generating, transmission of electricity and electric power system, only stresses this single function of power scheduling.On the other hand, do not relate on this level of distribution system, let alone analyze the operation conditions of distribution system, instruct power consumer how safety, use electric energy efficiently.Which results in power supply company can not power as required, when electric load demand is large, electric power system can not meet the workload demand of distribution system.When electric load demand hour, the electric energy that electric power system provides, slatterns in vain.
The power mode of current power user is very extensive, and waste of energy is serious.Due to the shortage of power specialty knowledge aspect, result in power consumer and can not use electric energy safely and efficiently, technology and the means of economize on electricity can not be used, result in a large amount of waste of energy and fall, for user adds unnecessary cost.
The economize on electricity product that existing market occurs, just solves the economize on electricity of certain consumer unilaterally, does not fully excavate whole region energy-saving potential.Let alone the theory of energy saving of system.Although the management of some energy conserving systems is to whole plant area, the result that energy-saving effect neither one quantizes, the assessment of basic neither one science.
The energy saving solution that Vehicles Collected from Market occurs, too general and standardization, different occasions, consumer is different, and power saving scheme should be different, and single power saving scheme can not be leaned on to solve the economize on electricity of all occasions.Attempt uses single power-saving method to go to solve economize on electricity problem, may cause Electrical Safety problem, gently then occur power failure, heavy then jeopardize safety.
Current power user also also exists the problem of Electrical Safety, let alone sustainable electricity consumption.There is electric power accident often, then go to repair, result in the product that delays work.Potential safety hazard can not be got rid of in advance at all, address these problems before electric power accident occurs.
The class Demand-side supervisory system that Vehicles Collected from Market occurs, its function is mainly concentrated and is used economic means to allocate power mode, just leading subscriber power use by time shearing simply, avoids electricity consumption simultaneously to produce electric load peak.If power consumer is not in accordance with scheduling mode electricity consumption, certain economic cost will be paid, just merely utilize economic means to affect client's electricity consumption behavior.
Also there is following problem in more existing electric power demand side supervisory systems:
1) just for resident and community, application industry is very narrow;
2) grid management centre and government regulation center all need the IP that fixes, increase system operation cost, communication means underaction;
3) employ public network and realize communication, security is low, if there is assault power network, can cause great security power accident;
4) use custom power server, the power information of record is few, and various parameters of electric power is also little, and when the consequence of this communication mode is server fail, whole system can paralyse, and system stability and robustness are very low;
5) generally just simply monitor parameters of electric power, send warning message, function is too simple;
6) use relaying concentrator the parameter of each detecting device to be sent, 26S Proteasome Structure and Function is too simple.
Summary of the invention
The object of the invention is, for overcoming above-mentioned the deficiencies in the prior art, to provide a kind of electric power demand side supervisory system and method for supervising.Present invention uses the technological means such as cloud computing technology, large data technique, technology of Internet of things and 3G/4G wireless transmission.The present invention monitors the data such as electric energy service condition, the quality of power supply, load condition of distribution user, collected by large data technique, arrange, analyze these data, be electric load regulation and control, use electric energy safely and efficiently, for user works out power saving scheme, energy-efficient equipment is installed.Use cloud computing technology, these power informations are formed a very large power information resources pond, following electric load can be doped exactly, excavate the energy-saving potential of distribution system exactly, for electricity consumption in reasonable and orderly manner, electricity consumption efficiently and safely, provides a guarantee of exerting oneself, thus reaches the object of sustainable electricity consumption.
For achieving the above object, the present invention adopts following technical proposals:
A kind of electric power demand side supervisory system, it comprises:
Client layer, divides the difference of the power-economizing method of whole distribution system according to trade power consumption feature;
Data Layer, adopts intelligent load control terminal, gathers the power consumer data of client layer;
Service layer, adopts cloud computing technology and large data technique, for processing the data that process data Layer collects;
Supervisory layers, the cloud of access service layer, for real-time monitoring power electric load, statistics electric power energy consumption, checks and managing power service condition, and checks energy-saving potential size, thus determine the type of energy-saving device;
Wherein, described client layer comprises traffic electricity consumption, industrial and mining enterprises, large scale business body, university's park, office building and office building, large scale industry garden, property plots, hospital, city illumination and communications equipment room; Corresponding energy-saving device is specific as follows:
Described traffic electricity consumption adopts comprehensive power quality smelting reason device, reactive power compensator and RHVC, described Power Quality Comprehensive Treatment Device comprises filter and stable-pressure device, filter is used for the harmonic wave in filtering circuit, compensating reactive power, reduce electric energy loss, stable-pressure device, for the protection of consumer, increases the service life; Wherein, described filter includes active power filtering and passive filtering;
Described industrial and mining enterprises adopt reactive power compensator, filter, RHVC and stable-pressure device;
Described large scale business body adopts energy-saving device of air conditioner, active filter, lighting retrofit device and photovoltaic water heater;
Described university's park adopts energy saving device for lighting, active filter, Intelligent power distribution device, Frequency Conversion Modification device and photovoltaic water heater;
Described office building and office building adopt energy-saving device of air conditioner, lighting retrofit and comprehensive power quality smelting reason device;
Described large scale industry garden adopts energy saving of system, specifically comprises reactive power compensator, filter, stable-pressure device and Frequency Conversion Modification device;
Described property plots adopts energy saving device for lighting, active filter, Intelligent power distribution device and Frequency Conversion Modification device;
Described hospital adopts active filter and Intelligent power distribution device;
Described city illumination adopts the replacing of pressure regulating energy-saving device, light fixture, intelligent controlling device and reactive power compensator;
Described communications equipment room adopts active filter, stable-pressure device, environmental monitoring installation and Intelligent power distribution device, and described environmental monitoring installation comprises device for monitoring temperature, temperature-detecting device and apparatus for monitoring power supply.
The number of described intelligent load control terminal is determined by the number of energy-efficient equipment and monitoring point; Described number of data layers is according to being stored in this locality, and intelligent load management terminal has embedded front-end server module, supports single-threaded web access and FTP service.
Described service layer comprises the server that several are distributed in diverse geographic location, and Servers-all is by fire wall access network, and all server system platforms are Linux/Unix, comprise redhat, centos, ubuntu, opensuse, FreeBSD.Such as, use OpenStack technology, various server virtual become an electric power data resource pool, for electricity consumption enterprise, power supply enterprise, government department's access with, there is provided most scientific, the most reliably, the abundantest electric power data, realize intelligent grid truly; Owing to employing multiple servers, service layer's reliability improves greatly; Use large data technique, data Layer is collected the data that data mart modeling becomes useful, form the solid foundation of cloud computing.
Described service layer, mainly for the data collected, judges height and the quality of power supply quality of output power factor, and according to time period united analysis, thus sum up electricity consumption rule, dope following electric load demand, work up energy-saving scheme, concrete grammar is as follows:
After logging in supervisory system, enter real-time data base, adopt large data technique allocation data, data are divided into economic data, environmental data, incident data and electrical network parameter data;
The disposal route of described economic data is as follows:
Consumption trading volume Ei, represents consuming capacity, if Ei value is high, economic prosperity is described, product consumption is large, have stimulated commercial production, strengthens power consumption; On the contrary, if Ei value is too small, then illustrate that power consumption can reduce; From current time, 12 months data Ei(i are month forward) be respectively:
E1,E2,E3,E4,E5,E6,E7,E8,E9,E10,E11,E12,
Remove current in maximal value Emax and minimum value Emin, then to remaining 10 data, ask for weighted mean value Ex:
Ex = Σ 1 10 Ei 2 , Ei ≠ E max , E min
Then, and did an average calculating operation with time value Ey upper one year, obtain economic data statistical value E, operational method is as follows:
E=(Ex+Ey)/2;
The disposal route of described environmental data:
The temperature curve of 7 days after current time is drawn according to data of weather forecast, current temperature is T1, when constant temperature rises, find maximum temperature point Tmax, suppose that Tmax point appears in following X days, then temperature curve escalating rate Tc=(Tmax-T1)/X, wherein X≤7, according to the size of Tc, the escalating rate of prediction electric load;
The disposal route of described incident data:
Described incident data comprises disaster and war data Zx, when Zx is greater than disaster index Z, unconditionally sends power failure instruction;
The disposal route of described electrical network parameter data:
Setting electric load maximal value Pmax, when real-time electric power load is greater than Pmax, is covered Pmax;
After data have been allocated, the maximal workload P of computation requirement side system prediction:
P=Pc*(E/Ey)*Tc–Pj;
Wherein Pc: current load, E: economic data statistical value, Ey: the same period last year economic data statistical value, Tc:
Temperature curve escalating rate, Py: the load that can save out;
As P<Pmax, make P=Pmax*1.2;
As Zx>Z, make P=0;
As P=0, generate power failure instruction; During P ≠ 0, the maximal workload that generation forecast goes out.
Described server comprises:
Apps server, for business logic being sent to client by various agreement, the approach it providing access business logic uses for client application, employs modbus, 61850, the electric power stipulations that 104 grades are conventional;
LIST SERVER, for preserving each enterprises and institutions of access electric power demand side supervisory system, mainly title and code agency, each enterprises and institutions situation of the existing operation of convenient inquiry; Adopt LDAP technology, LDAP is Light Directory Access Protocol, and English full name is Lightweight Directory Access Protocol, it, based on X.500 standard, can customize, as required from X.500 different, LDAP supports TCP/IP, in order to access Internet;
Mail server, for automatic generating run daily record, generates traffic reports, system exception diagnostic message, generates mail and is saved on this server, facilitate supervisory control system running; And for user receiving system information mail; The mail technique used is hmailserver, Extmail, Macallan Mail Solution, AfterLogic XMail Server, one or more in ArGoSoft MailServer Free;
Data acquisition server, for gathering data in real time layer data, supports high concurrent, multi-threading correspondence, and this server of framework uses the C++ exploitation of standard, employs moduo C++ network library technology, maximumly can access 60000 intelligent load control terminals;
Database server, for noting down power consumption data and the alert data of electric power demand side supervisory system, employs SQLITE, mySQL, postgreSQL;
Web server, adopts LNMP combination technique, is the access system of B/S pattern, provides network insertion service; What LNMP represented is exactly: this Website server framework of Nginx+MySQL+PHP under linux system; Linux is the general designation of a class Unix computer operating system; be current most popular open source operating system, representing version has: debian, centos, ubuntu, fedora, redhat; Nginx is a high performance http server, is also an IMAP/POP3/SMTP proxy server; Mysql is a mini-relational type database monitoring system, and PHP is a kind of script of embedding html document performed at server end, by above-mentioned combination of software to together, becomes efficiently, website service system that extendability is strong;
Management server, for the safety management of cloud computing resources framework, is managed the ruuning situation of any software and hardware server, and manages the authority of each user by this server monitoring;
Content server, adopts C++, memory database sqlite, and designed application software, for managing the parameter of each energy-efficient equipment, ensures the normal operation of each energy-efficient equipment;
Mobile communication server, adopts LNAP Technical Architecture, facilitates mobile terminal to access, for mobile handheld terminal provides access services.
Described data acquisition server comprises 2 nplatform, n be the number of monitored enterprise divided by single personal computer maximum thread Xn, these servers adopt collaborative work mode, and concrete grammar is as follows:
1) during server start work, connection of shaking hands is carried out successively between each station server, if shake hands successfully, set up communication link, exchange load factor Pf each other, and setting-up time interval T, every time interval T, exchange once load factor each other, all servers obtain respective load factor in real time, enter step 2); If certain station server is shaken hands unsuccessful, enter step 3);
2) after data acquisition comes, by the load factor of each station server by order arrangement from small to large, if load factor is not minimum, then receiving flag variable is set to 0, represent that the machine does not process these data; If load factor is minimum, then receiving flag variable is put 1, represent and receive and process this data;
3) shake hands continuously 3 times, still can not shake hands, then representing this server has communication failure, and failure code is sent to management server, waits for keeper's handling failure;
In addition, if the communication module of every station server finds that self is abnormal, autoboot immediately, and abnormality code is sent to management server.
Described server is positioned at same machine room, or is distributed in the machine room of diverse geographic location; When all servers are positioned at same machine room, each server uses an IP, and each server uses different port numbers PORT, and Servers-all uses PORT shake hands or connect, under this kind of pattern, the communication terminal of supervisory layers utilizes this IP to connect these servers; When the different machine room of server distribution at diverse geographic location, each server has a fixing IP, connected by respective IP between each server, under this kind of pattern, Servers-all adopts VPN technologies together virtual, the load management terminal of supervisory layers, by inserting virtual VPN title, realizes being connected with these servers.
Described supervisory layers comprises:
Load supervisory systems, for the real-time monitoring power electric load of power supply enterprise, power supply department is facilitated to instruct power distribution network ordered electric, for power supply enterprise provides power scheduling foundation, lay particular emphasis on electric energy quality monitoring, the voltage swing of Real-Time Monitoring power distribution network, phase place, frequency, fluctuation and flickering, electric power transient, these parameters of electric power of Voltage Drop, object is for power consumer provides high-quality electric energy, ensures Electrical Safety and the interests of power consumer;
Energy consumption supervisory systems, for the energy-conservation supervision office statistics electric power energy consumption of government, the electric power energy consumption data of annual power consumption number, the electric power energy consumption number of every month, each electricity consumption enterprise, each radio area is provided, final form can be generated, facilitating government department to quantize the effect of energy-saving and emission-reduction, providing scientific basis for working out relevant energy Distursement.
User's supervisory systems, the electric energy service condition of our unit is checked for power consumer, comprise the parameters of power consumption form, power equipment, it comprises power equipment warning module, power failure is got rid of in advance to help user, conveniently monitor energy-efficient equipment everywhere and service condition, and generate the form of various user's request;
Handheld device supervisory systems, adopts smart mobile phone or the panel computer of Android or apple system, for by the browser on smart mobile phone or panel computer with 3G/4G radio transmitting method access service layer medium cloud, check and managing power service condition;
This four systems software support B/S and C/S model; The realization of B/S pattern employs up-to-date html5 framework, supports the browser IE of each main flow, red fox, chrom etc.Use html5 technology, can reach and experience identical with the software under C/S model, convenient friendly effect, is also can use this supervisory system under different system platforms.
Client software under C/S model, uses the design of Qt framework storehouse, can use across ubiquitous system platform, and the platform of support has windows series, linux/unix series, MAC apple system.Database then employs sqlite, the parameter of record software and data sheet etc.The data displays such as curved bar figure have just used QWT storehouse.
The method for supervising of said system, concrete steps are as follows:
1) power-economizing method of whole for client layer distribution system is divided according to the difference of trade power consumption feature;
2) data Layer utilizes intelligent load control terminal, gathers the power consumer data of client layer;
3) service layer adopts cloud computing technology and large data technique, for the treatment of the data that data Layer transmission comes up;
4) cloud of supervisory layers access service layer, real-time monitoring power electric load, statistics electric power energy consumption, checks and managing power service condition, dopes following electric load, and check energy-saving potential size, thus determine rational power saving scheme;
Wherein, the client layer in step 1) comprises traffic electricity consumption, industrial and mining enterprises, large scale business body, university's park, office building and office building, large scale industry garden, property plots, hospital, city illumination and communications equipment room; The power saving scheme that step 4) correspondence is determined is specific as follows:
Described traffic electricity consumption adopts comprehensive power quality smelting reason, reactive-load compensation and frequency control, described power quality harnessed synthetically refers to the harmonic wave utilized in filter filtering circuit, reduce electric energy loss, and utilize the motor on stable-pressure device protection locomotive, increase the service life;
Described industrial and mining enterprises adopt reactive-load compensation, filtering process, frequency control and voltage stabilizing process;
Described large scale business body adopts the use of air conditioner energy saving, active power filtering process, lighting retrofit and photovoltaic water heater;
Described university's park adopts the use of lighting energy saving, active power filtering process, intelligent power distribution, Frequency Conversion Modification and photovoltaic water heater;
Described office building and office building adopt air conditioner energy saving, lighting retrofit and comprehensive power quality smelting reason;
Described large scale industry garden adopts energy saving of system, specifically comprises reactive-load compensation, filtering process, voltage stabilizing process and Frequency Conversion Modification;
Described property plots adopts lighting energy saving, active power filtering process, intelligent power distribution and Frequency Conversion Modification;
Described hospital adopts active power filtering process and intelligent power distribution;
Described city illumination adopts the replacing of pressure regulating energy-saving, light fixture, Based Intelligent Control and reactive-load compensation;
Described communications equipment room adopts active power filtering process, voltage stabilizing process, environmental monitoring and intelligent power distribution, and described environmental monitoring comprises monitoring temperature, temperature detection and Power Supply Monitoring.
The concrete grammar of described step 1) is: to the type of business in distribution system, consumer kind, year power consumption carry out preliminary inves-tigation, and measure corresponding power factor and the quality of power supply, thus estimate the energy-saving potential of each enterprise.
Described step 2) concrete grammar be: intelligent load management terminal is arranged on consumer side nearby, and access voltage and current signal, is detected the information of consumer in real time, is sent on data server by wireless link.
In described step 3), service layer comprises 2 nplatform data acquisition server, n is the TV university Thread Count Xn of number divided by single personal computer of monitored enterprise, and these servers adopt collaborative work mode, and concrete grammar is as follows:
31) during server start work, connection of shaking hands is carried out successively between each station server, if shake hands successfully, set up communication link, exchange load factor Pf each other, and setting-up time interval T, every time interval T, exchange once load factor each other, all servers obtain respective load factor in real time, enter step 32); If certain station server is shaken hands unsuccessful, enter step 33);
32) after data acquisition comes, by the load factor of each station server by order arrangement from small to large, if load factor is not minimum, then receiving flag variable is set to 0, represent that the machine does not process these data; If load factor is minimum, then receiving flag variable is put 1, represent and receive and process this data;
33) shake hands continuously 3 times, still can not shake hands, then representing this server has communication failure, and failure code is sent to management server, waits for keeper's handling failure;
In addition, if the communication module of every station server finds that self is abnormal, autoboot immediately, and abnormality code is sent to management server.
Described server is positioned at same machine room, or is distributed in the different machine rooms of diverse geographic location; When all servers are positioned at same machine room, each server uses an IP, and each server uses different port numbers PORT, and Servers-all uses PORT shake hands or connect, under this kind of pattern, the communication terminal of supervisory layers utilizes this IP to connect these servers; When the different machine room of server distribution at diverse geographic location, each server has a fixing IP, connected by respective IP between each server, under this kind of pattern, Servers-all adopts VPN together virtual, the communication terminal of supervisory layers, by inserting virtual VPN title, realizes being connected with these servers.
Described step 3) is, for the data collected, judges height and the quality of power supply quality of output power factor, and according to time period united analysis, thus sum up electricity consumption rule, Accurate Prediction goes out the size of future electrical energy load.Can also work up rational energy-saving scheme, concrete grammar is as follows:
After logging in supervisory system, enter real-time data base, adopt large data technique allocation data, data are divided into economic data, environmental data, incident data and electrical network parameter data;
The disposal route of described economic data is as follows:
Consumption trading volume Ei, represents consuming capacity, if Ei value is high, economic prosperity is described, product consumption is large, have stimulated commercial production, strengthens power consumption; On the contrary, if Ei value is too small, then illustrate that power consumption can reduce; From current time, 12 months data Ei(i are month forward) be respectively:
E1,E2,E3,E4,E5,E6,E7,E8,E9,E10,E11,E12,
Remove current in maximal value Emax and minimum value Emin, then to remaining 10 data, ask for weighted mean value Ex:
Ex = &Sigma; 1 10 Ei 2 , Ei &NotEqual; E max , E min
Then, and be worth Ey the same period last year and do an average calculating operation, obtain economic data statistical value E, operational method is as follows:
E=(Ex+Ey)/2;
The disposal route of described environmental data:
The temperature curve of 7 days after current time is drawn according to data of weather forecast, current temperature is T1, when constant temperature rises, find maximum temperature point Tmax, suppose that Tmax point appears in following X days, then temperature curve escalating rate Tc=(Tmax-T1)/X, wherein X≤7, according to the size of Tc, the escalating rate of prediction electric load;
The disposal route of described incident data:
Described incident data comprises disaster and war data Zx, when Zx is greater than disaster index Z, unconditionally sends power failure instruction;
The disposal route of described electrical network parameter data:
Setting electric load maximal value Pmax, when real-time electric power load is greater than Pmax, is covered Pmax;
After data have been allocated, the maximal workload P of computation requirement side system prediction:
P=Pc*(E/Ey)*Tc–Pj;
Wherein Pc: current load, E: economic data statistical value, Ey: the same period last year economic data statistical value, Tc: temperature curve escalating rate, Py: the load that can save out;
As P<Pmax, make P=Pmax*1.2;
As Zx>Z, make P=0;
As P=0, generate power failure instruction; During P ≠ 0, the maximal workload that generation forecast goes out.
Beneficial effect of the present invention:
Present invention covers the primary industry, secondary industry and the tertiary industry, industry scope is wide.Only need server to have fixing IP, grid management centre and the IP of government regulation center without the need to fixing, as long as any means of communication that can surf the Net, comprise dialling up on the telephone without fixing IP, ISPN, 3G/4G surf the Net, or the computer in LAN (Local Area Network), as long as can public network be connected, can be connected on server.Compatible existing IPv4 and IPv6 of the present invention, easy to use.Means of communication in the present invention is based on special electric power VPN technologies, and public Network Isolation comes, and uses special electric power fire wall, and communication security improves greatly.Use multiple different server in the present invention, often kind of server has the function determined, such as database server is only used for storing historical record, and LIST SERVER is preserved and leading subscriber catalogue specially.Data acquisition server is only used for receiving the data of loaded termination.Finally all servers form a large resource pool, employ up-to-date cloud computing technology, and each server is all double copies, and Redundancy Design is distributed in different geographic position.Even if there is a station server to break down, will not affect whole system and run, the stability of system and reliability are very high.Electric power demand side supervisory system in the present invention, not only monitor all parameters of electric power, the more important thing is, according to the data of the every profession and trade monitored, analyze, and then work out the use method for electrically and energy-saving scheme that are applicable to user, user is instructed how to use electric energy efficiently and safely, then energy-efficient equipment is installed, thus is power consumer saving electric power, reduce electric cost.After project, be continuously offering customers service.This is an overall solution.Be completely free of the deficiency of existing dsm.Present invention uses intelligent load control terminal, current collection force parameter detects, and load management controls, and front server is in one.A lot of parameter can be saved in this locality, comprises single-threaded WEB server, ftp server, memory database.Comprise the wireless connect technologies such as GPRS/3G/4G with server means of communication, and cable network connects.Communication variation.Functional diversities.
Intension of the present invention or value are:
One is, for Utilities Electric Co. provides load control, peak load shifting, ordered electric, makes scientific and reasonable foundation.
Two are, utilize the data monitored, for power consumer works out rational method for electrically and energy-saving scheme, for power consumer reduction electric cost, realize power supply and the interests win-win of electricity consumption, reach the electricity consumption benefit of both sides, thus realize energy-saving and emission-reduction, the living space of Creating Green.
Three are, existing energy-saving and emission-reduction measure and means are mostly policy character, and the electric power demand side supervisory system involved by patent of the present invention is technical energy saving means, achieves the harmony of policy and technology, make the effect of energy-saving and emission-reduction reach maximization.
Four are, solve the problem of sustainable electricity consumption.Power demand side system supervisory packet contains the detection early warning mechanism of various power equipment, before power equipment breaks down, Resolving probiems is fallen, thus reaches sustainable electricity consumption, sustainable production etc.
Involved in the present invention to one of its main task of demand Side Management be exactly solve network load larger time how to accomplish equilibrium of supply and demand problem, the electric load of research electricity consumption side, in the past with Variation and development situation in the future, development plan for electric system provides scientific and reasonable foundation, thus thoroughly solves the inconsistent problem of supply and demand.
One of demand Side Management main task that the present invention relates to is exactly set up energy efficiency power plant, fills up the breach of electric load with the electric energy saved, thus need not build entity generating plant, reduces investment, economize energy.
The present invention fast, scientifically solves the problem such as ordered electric and energy-saving and emission-reduction.Successfully power distribution network is joined in intelligent grid, solve the problem of intelligent grid " last one kilometer "; One is the whole power distribution network of monitoring, instructs user's ordered electric; Two are, instruct power consumer how to use electric energy safely and efficiently, finally can farthest saves energy, reduction electric cost.Be summarized as follows:
1) information of the whole distribution system of Real-time Collection of the present invention, energy consumption data, the parameters such as power supply quality, dope future electrical energy payload exactly, for ordered electric and safety utilization of electric power provide rational foundation, thus accomplish ordered electric, separately period electricity consumption, at utmost, electric energy is used in maximum efficiency.
2) change the extensive power mode of power consumer, help user to use electric energy expeditiously, for user reduces electric cost, accomplish the electricity consumption that becomes more meticulous.
3) use the design philosophy of energy saving of system, to whole distribution system unified planning design, fully excavate energy conservation potential.Accomplish that at utmost Shangdi uses electric energy, builds a virtual energy efficiency power plant.
4) system adopts power failure early warning mechanism, potential safety hazard can be found in advance, potential safety hazard is excluded in advance, solve the problem of unsustainable electricity consumption, before consumer breaks down, pass through warning module, problem is solved in advance, realize sustainable electricity consumption, save a large amount of man power and materials, ensure normal activity.
5) different occasions uses different solutions.Specifically be divided into community to economize on electricity, school economizes on electricity, large scale business body segment electricity, office building and office building economize on electricity etc.Each different electricity consumption industry occasion has solution of correspondingly economizing on electricity, and can improve the effect of economize on electricity and the security of electricity consumption like this.
6) solve the problem of user security electricity consumption, by voltage stabilizing, ground connection, the multiple technologies means such as monitoring, farthest improve Electrical Safety.Multiple technologies means are unified to be considered, fully ensures the security using electric energy.
7) for the assessment of energy-saving effect, use experts database analytic system, have a set of scientific and reasonable foundation, can generate with a high credibility, very full and accurate energy-conservation form.
8) Demand-side supervisory system, has a set of rational implementation step.From project investigation, analyze, the project implementation, energy-saving effect is assessed, and project maintenance is rational and orderly all, for client takes out best solution, ensures the maximum benefit of user.
9) rational power saving scheme is worked up.Strive for that the electric energy with saving fills up electric load breach, abundant development of latent energy-saving potential, be equivalent to set up one " energy efficiency power plant ", save investing entities power plant, electric power demand side supervisory system is significant.
10) operation mode is reasonable, electricity consumption enterprise, and power supply enterprise, government.Combined as a whole by electric power demand side supervisory system, all can obtain the data wanted and result, reach benefits-sharing.
11) energy-efficient equipment variation, designs different economize on electricity products to different consumers.Different industries has different solutions, at utmost excavates energy conservation potential.
12) develop power load monitoring system software and capacity load system software friendly interface, easy to use, a key generates various data sheet.
13) client software is divided into B/S and C/S model, and client, just can regulatory requirement side supervisory system by browser or client software.
14) system is easy to use, can utilize the browser on smart mobile phone or panel computer, at any time regulatory requirement side supervisory system.
15) employ cloud computing framework, employ the server of multiple stage difference in functionality.Service invariant is reliable, in real time.Server platform employs linx/unix.Security of operation is stablized.
16) implementation step is very scientific and reasonable, ensures the smooth enforcement of demand Side Management project.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention;
Fig. 2 is the composition schematic diagram of client layer.
Embodiment
Below in conjunction with drawings and Examples, the present invention will be further elaborated, should be noted that following explanation is only to explain the present invention, not limiting its content.
Electric power demand side supervisory system of the present invention, it comprises:
Client layer, for dividing the difference of the power-economizing method of whole distribution system according to industry;
Data Layer, adopts intelligent load control terminal, for gathering the power consumer data of client layer;
Service layer, adopts cloud computing technology and large data technique, for processing the data that process data Layer collects;
Supervisory layers, the cloud of access service layer, for real-time monitoring power electric load, statistics electric power energy consumption, checks and managing power service condition, and checks electric energy service condition, thus determine energy-saving device.
The power-economizing method of whole distribution system comes by the different demarcation of industry, and the power saving scheme of the use of often kind of industry is different, each have their own feature:
1. traffic electricity consumption
This project comprises city underground, light rail, the electric power system reducing energy consumption of power bus.Employ quality of power supply smelting reason device, as filter and stable-pressure device, the harmonic wave in filtering circuit, reduces electric energy loss.Use stable-pressure device, the motor on protection locomotive, increases the service life.Here filter, includes active power filtering and passive filtering, and reactive power compensator then uses dynamic passive compensation STATCOM (SVG).Also use frequency conversion equipment.
2. industrial and mining enterprises
Comprise steel mill, refinery, chemical enterprise, the heavy industry such as mining industry.Mainly employ reactive power compensator, specifically have high-low pressure dynamic passive compensation STATCOM, be used in the capacitor compensation of asynchronous motor, also have the phase advancer that big-and-middle-sized asynchronous machine uses.To blower fan, water pump uses RHVC economize on electricity, to the consumer using intermediate frequency equipment, uses filter economize on electricity.For the motor that some are older, be replaced with new-type energy-saving electric machine.
3. large scale business body
Comprise megastore, supermarket, hotel, the service sectors such as hotel, mainly electric consumption on lighting, office electricity consumption and household electricity.Here use converter plant to air conditioner energy saving, also use heat storage and cold accumulation transformation.
Lighting retrofit, changes into Led lamp, also imports sunshine with the most energy-conservation sun optical fiber, replaces daylight lamp, greatly save electric energy.
Original electrical water heater, is transformed into solar water heater, photovoltaic water heater etc.
Use active filter, electric harmonic in filtering appts, reduce line loss, protection consumer, extension device serviceable life.
4. university's park
Whole university's park is with electric consumption on lighting, and office electricity consumption and household electricity are main, and campus illumination changes optical road lamp into, the teaching building bad to daylighting or dormitory building transformation use sun optical fiber lamp, like this when sunny daytime, need not open electric light, because sunlight is introduced indoor, increase the health of student.
Owing to employing partial sun light lamp and computer, multimedia, produce harmonic wave very serious, use active filter filtering Harmonious Waves in Power Systems, reduce line loss, protection electricity consumption office equipment.
For the machine room using water pump class, then use Frequency Conversion Modification economize on electricity.
5. office building, office building
For city, office building and office building in the majority, with electric consumption on lighting, office electricity consumption, elevator electricity consumption, air conditioning electricity is main.Employ energy-saving reformation of air conditioner, electric consumption on lighting is transformed, and comprises LED transformation and sun optical fiber importing transformation etc.Employ Power Quality Comprehensive Treatment Device and unify compensating reactive power, administer fluctuation and the flickering of harmonic wave and voltage, Voltage Drop etc.
6. large scale industry garden
The electricity consumption of large scale industry garden is complicated, and a large amount of industrial electricity apparatus, causes the quality of power supply poor, and waste electric energy is serious, is used herein systematic energy-saving technology, for different consumers, and the energy-saving device of design specialized.As welding shop, use active power filtering, rejection frequency and size, all at the harmonic wave of change, eliminate three-phase imbalance.
For processing center of numerical-control machine tool, near each machining tool, use an active filter, eliminate the interference between lathe, reduce the generation of scrap.Can also lathe be protected, increase the service life.Reactive-load compensation is done to some electric power, mainly the random capacitor compensation of asynchronous motor and the phase advancer reactive-load compensation to wire wound asynchronous motor.
7. property plots
With household electricity, electric consumption on lighting and air conditioning electricity are main.
Mainly employ intelligent power distribution management, lighting energy saving is transformed, active power filtering project.Frequency Conversion Modification technology etc.For community illumination, one is be transformed into LED, and two is utilize sensor technology, and automatic start-stop was turned on light by the time on night.
8. hospital
The power consumption characteristics of hospital wants reliable, and power supply quality wants high, and there is a large amount of accurate instrument in modern hospital, so power supply quality must be high.Harmonic wave in supply lines can not exceed standard, otherwise can affect the operation of instrument, causes mistaken diagnosis patient.
After active power filtering is installed, can also power factor be improved, reduce line loss.
9. city illumination
City illumination is street lamp mainly, and power consumption is very serious.Here mainly use pressure regulating energy-saving, light fixture is transformed, and changes LED and optical road lamp into.Utilize intelligent control technology, strictly turn on light by the darkness time.Compensate the power factor of street lamp, reduce power attenuation.
10. communications equipment room
Communications equipment room comprises movement, UNICOM, the machine room of large enterprise, and mobile base station room.Be used herein environmental monitoring system, active filter, stable-pressure device, intelligent power distribution.
Communications equipment room requires power supply reliably, and the quality of power supply also wants high.The temperature of whole machine room and temperature also will be monitored, and when temperature and temperature reach setup parameter, restart air conditioner refrigerating, adopt natural ventilation At All Other Times.Such can accomplish energy-conservation.
Use active electric filter device and stable-pressure device, reduce line loss further.Reach energy-conservation effect, can also communication facilities be protected.Extend the serviceable life of communication facilities.
The number of described intelligent load control terminal is determined by the number of energy-efficient equipment and monitoring point; Described number of data layers is according to being stored in this locality, and intelligent load management terminal has embedded front-end server module, supports single-threaded web access and FTP service.
Described embedded front-end server comprises 2 nplatform, n is the max line Thread Count of number divided by single personal computer of monitored enterprise, n be more than or equal to 1 natural number, these servers adopt collaborative work mode, and concrete grammar is as follows:
1) during server start work, connection of shaking hands is carried out successively between each station server, if shake hands successfully, set up communication link, exchange load factor Pf each other, and setting-up time interval T, every time interval T, exchange once load factor each other, all servers obtain respective load factor in real time, enter step 2); If certain station server is shaken hands unsuccessful, enter step 3);
2) after data acquisition comes, by the load factor of each station server by order arrangement from small to large, if load factor is not minimum, then receiving flag variable is set to 0, represent that the machine does not process these data; If load factor is minimum, then receiving flag variable is put 1, represent and receive and process this data;
3) shake hands continuously 3 times, still can not shake hands, then representing this server has communication failure, and failure code is sent to management server, waits for keeper's handling failure;
In addition, if the communication module of every station server finds that self is abnormal, autoboot immediately, and abnormality code is sent to management server.
Industry-by-industry, the energy information of different enterprise, environment information acquisition is in Demand-side supervisory system, and data volume is huge, and front-end collection processing server needs 2 nplatform, the numerical value of n increases along with increasing of enterprise's number.The size of T is configurable, general 1 ~ 5 second.All servers can obtain respective load factor in real time.Time as n=3, have 8 station servers.The load factor of each server is as follows:
Pf1,Pf2,Pf3,Pf4,Pf5,Pf6,Pf7,Pf8
When data acquisition comes, if the second station server Pf2 value is minimum.
The disposal route of the 1st, 3,4,5,6,7,8 is as follows: first arrange this 8 data by order from small to large.Find that Pf2 is minimum, be not that the Pf of the machine is minimum, at this time just receiving flag variable set to 0, represent the machine and do not process these data.
2nd station server, can cross above data sorting and find that the machine is minimum, receiving flag variable is put 1, represents and receives and process this data.
Described server is positioned at same machine room, or is distributed in the different machine rooms of diverse geographic location; When all servers are positioned at same machine room, each server uses an IP, and each server uses different port numbers PORT, and Servers-all uses PORT shake hands or connect, under this kind of pattern, the communication terminal of supervisory layers utilizes this IP to connect these servers; When the different machine room of server distribution at diverse geographic location, each server has a fixing IP, connected by respective IP between each server, under this kind of pattern, Servers-all adopts VPN together virtual, virtual VPN title: VPNname, the communication terminal of supervisory layers, by inserting this VPNname, realizes being connected with these servers.
Described service layer comprises the server that several are distributed in diverse geographic location, and Servers-all is by fire wall access network, and all server system platforms are Linux/Unix, comprise redhat, centos, ubuntu, opensuse, FreeBSD.Such as, use OpenStack project, various server virtual become an electric power data resource pool, for electricity consumption enterprise, power supply enterprise, government department's access with, there is provided most scientific, the most reliably, the abundantest electric power data, realize intelligent grid truly; Owing to employing multiple servers, service layer's reliability is high; Use large data technique, data Layer is collected the data that data mart modeling becomes useful, form the solid foundation of cloud computing.
Described service layer, mainly for the data collected, judges height and the quality of power supply quality of output power factor, and according to time period united analysis, thus sum up electricity consumption rule, work out energy-saving scheme, concrete grammar is as follows:
After logging in supervisory system, enter real-time data base, adopt large data technique allocation data, data are divided into economic data, environmental data, incident data and electrical network parameter data;
The disposal route of described economic data is as follows:
Consumption trading volume Ei, represents consuming capacity, if Ei value is high, economic prosperity is described, product consumption is large, have stimulated commercial production, strengthens power consumption; On the contrary, if Ei value is too small, then illustrate that power consumption can reduce; From current time, 12 months data Ei(i are month forward) be respectively:
E1,E2,E3,E4,E5,E6,E7,E8,E9,E10,E11,E12,
Remove current in maxima and minima, if maximal value is the consumption trading volume E11 in November, minimum value is the consumption trading volume E6 in June, then to remaining 10 data, asks for weighted mean value Ex:
Ex = &Sigma; 1 10 Ei 2 , Ei &NotEqual; E 11 , E 6
Then, and did an average calculating operation with time value Ey upper one year, obtain economic data statistical value E, operational method is as follows:
E=(Ex+Ey)/2;
The disposal route of described environmental data:
The temperature curve of 7 days after current time is drawn according to data of weather forecast, current temperature is T1, when constant temperature rises, find maximum temperature point Tmax, suppose that Tmax point appears in following X days, then temperature curve escalating rate Tc=(Tmax-T1)/X, wherein X≤7, according to the size of Tc, the escalating rate of prediction electric load;
The disposal route of described incident data:
Described incident data comprises disaster and war data Zx, when Zx is greater than disaster index Z, unconditionally sends power failure instruction;
The disposal route of described electrical network parameter data:
Setting electric load maximal value Pmax, when real-time electric power load is greater than Pmax, is covered Pmax;
After data have been allocated, the maximal workload P of computation requirement side system prediction:
P=Pc*(E/Ey)*Tc–Pj;
Wherein Pc: current load, E: economic data statistical value, Ey: the same period last year economic data statistical value, Tc: temperature curve escalating rate, Py: the load that can save out;
As P<Pmax, make P=Pmax*1.2;
As Zx>Z, make P=0;
As P=0, generate power failure instruction; During P ≠ 0, the maximal workload that generation forecast goes out.
Described server comprises:
Apps server, for business logic being sent to client by various agreement, the approach it providing access business logic uses for client application, employs modbus, 61850,104 electric power stipulations;
LIST SERVER, for preserving each enterprises and institutions of access electric power demand side supervisory system, mainly title and code agency, each enterprises and institutions situation of the existing operation of convenient inquiry; Adopt LDAP technology, LDAP is Light Directory Access Protocol, and English full name is Lightweight Directory Access Protocol, it, based on X.500 standard, can customize, as required from X.500 different, LDAP supports TCP/IP, in order to access Internet;
Mail server, for automatic generating run daily record, generates traffic reports, system exception diagnostic message, generates mail and is saved on this server, facilitate supervisory control system running; And for user receiving system information mail; The mail technique used is hmailserver, Extmail, Macallan Mail Solution, AfterLogic XMail Server, one or more in ArGoSoft MailServer Free;
Data acquisition server, for gathering data in real time layer data, supports high concurrent, multi-threading correspondence, and this server of framework uses the C++ exploitation of standard, employs moduo C++ network library technology, maximumly can access 60000 intelligent load control terminals;
Database server, for noting down power consumption data and the alert data of electric power demand side supervisory system, employs SQLITE, mySQL, postgreSQL;
Web server, adopts LNMP, is the access of B/S pattern, provides network insertion service, what LNMP represented is exactly: this Website server framework of Nginx+MySQL+PHP under linux system, Linux is the general designation of a class Unix computer operating system, current most popular free operating system, represent version to have: debian, centos, ubuntu, fedora, gentoo, Nginx is a high performance HTTP and Reverse Proxy, also be an IMAP/POP3/SMTP proxy server, Mysql is a mini-relational type database monitoring system, PHP is a kind of script of the embedding html document in server end execution, by above-mentioned combination of software to together, become efficient, the website service system that extendability is strong,
Management server, for the safety management of cloud computing resources framework, is managed the ruuning situation of any software and hardware server, and manages the authority of each user by this server monitoring;
Content server, adopting the application software of C++, memory database sqlite design, for managing the parameter of each energy-efficient equipment, ensureing the normal operation of each energy-efficient equipment;
Mobile communication server, adopts LNAP Technical Architecture, facilitates mobile terminal to access, for mobile handheld terminal provides access services.
Described supervisory layers comprises:
Load supervisory systems, for the real-time monitoring power electric load of power supply enterprise, power supply department is facilitated to instruct power distribution network ordered electric, for power supply enterprise provides power scheduling foundation, lay particular emphasis on electric energy quality monitoring, the voltage swing of Real-Time Monitoring power distribution network, phase place, frequency, fluctuation and flickering, electric power transient, these parameters of electric power of Voltage Drop, object is for power consumer provides high-quality electric energy, ensures Electrical Safety and the interests of power consumer;
Energy consumption supervisory systems, for the energy-conservation supervision office statistics electric power energy consumption of government, the electric power energy consumption data of annual power consumption number, the electric power energy consumption number of every month, each electricity consumption enterprise, each radio area is provided, final form can be generated, facilitating government department to quantize the effect of energy-saving and emission-reduction, providing scientific basis for working out relevant energy Distursement.
User's supervisory systems, the electric energy service condition of our unit is checked for power consumer, comprise the parameters of power consumption form, power equipment, it comprises power equipment warning module, power failure is got rid of in advance to help user, conveniently monitor energy-efficient equipment everywhere and service condition, and generate the form of various user's request;
Handheld device supervisory systems, adopts smart mobile phone or the panel computer of Android or apple system, for by the browser on smart mobile phone or panel computer with 3G/4G radio transmitting method access service layer medium cloud, check and managing power service condition;
This four systems software support B/S, C/S model; The realization of B/S pattern employs up-to-date html5, support the browser IE of each main flow, red fox, chrom etc., use html5 technology, reach and experience identical with the software under C/S model, convenient friendly, also be use this system under different system platforms, as long as reach on the platform of browser, just can use electric power demand side supervisory system.
Client software under C/S model, uses the design of Qt framework storehouse, can use across ubiquitous system platform, and the platform of support has windows series, linux/unix series, MAC apple system.This field data storehouse then employs sqlite, the parameter of record software and data sheet etc.Curved bar figure waits data display to use QWT storehouse.
The method for supervising of said system, concrete steps are as follows:
1) power-economizing method of whole for client layer distribution system is divided according to the difference of trade power consumption feature;
2) data Layer utilizes intelligent load control terminal, gathers the power consumer data of client layer;
3) service layer adopts cloud computing technology and large data technique, the data that processing process data Layer collects;
4) cloud of supervisory layers access service layer, real-time monitoring power electric load, statistics electric power energy consumption, checks and managing power service condition, and checks electric energy service condition, thus determine power saving scheme;
Wherein, the client layer in step 1) comprises traffic electricity consumption, industrial and mining enterprises, large scale business body, university's park, office building and office building, large scale industry garden, property plots, hospital, city illumination and communications equipment room; The power saving scheme that step 4) correspondence is determined is specific as follows:
Described traffic electricity consumption adopts comprehensive power quality smelting reason, reactive-load compensation and frequency control, described power quality harnessed synthetically refers to the harmonic wave utilized in filter filtering circuit, reduce electric energy loss, and utilize the motor on stable-pressure device protection locomotive, increase the service life;
Described industrial and mining enterprises adopt reactive-load compensation, filtering process, frequency control and voltage stabilizing process;
Described large scale business body adopts the use of air conditioner energy saving, active power filtering process, lighting retrofit and photovoltaic water heater;
Described university's park adopts the use of lighting energy saving, active power filtering process, intelligent power distribution, Frequency Conversion Modification and photovoltaic water heater;
Described office building and office building adopt air conditioner energy saving, lighting retrofit and comprehensive power quality smelting reason;
Described large scale industry garden adopts energy saving of system, specifically comprises reactive-load compensation, filtering process, voltage stabilizing process and Frequency Conversion Modification;
Described property plots adopts lighting energy saving, active power filtering process, intelligent power distribution and Frequency Conversion Modification;
Described hospital adopts active power filtering process and intelligent power distribution;
Described city illumination adopts the replacing of pressure regulating energy-saving, light fixture, Based Intelligent Control and reactive-load compensation;
Described communications equipment room adopts active power filtering process, voltage stabilizing process, environmental monitoring and intelligent power distribution, and described environmental monitoring comprises monitoring temperature, temperature detection and Power Supply Monitoring.
The concrete grammar of described step 1) is: to the type of business in distribution system, consumer kind, year power consumption carry out preliminary inves-tigation, and measure corresponding power factor and the quality of power supply, thus estimate the energy-saving potential of each enterprise.
Described step 2) concrete grammar be: online acquisition terminal is arranged in transformer, is then arranged near consumer, thus gather power information.
In described step 3), service layer comprises 2 nplatform data acquisition server, n is the maximum thread of number divided by single server of monitored enterprise, and these servers adopt collaborative work mode, and concrete grammar is as follows:
31) during server start work, connection of shaking hands is carried out successively between each station server, if shake hands successfully, set up communication link, exchange load factor Pf each other, and setting-up time interval T, every time interval T, exchange once load factor each other, all servers obtain respective load factor in real time, enter step 32); If certain station server is shaken hands unsuccessful, enter step 33);
32) after data acquisition comes, by the load factor of each station server by order arrangement from small to large, if load factor is not minimum, then receiving flag variable is set to 0, represent that the machine does not process these data; If load factor is minimum, then receiving flag variable is put 1, represent and receive and process this data;
33) shake hands continuously 3 times, still can not shake hands, then representing this server has communication failure, and failure code is sent to management server, waits for keeper's handling failure;
In addition, if the communication module of every station server finds that self is abnormal, autoboot immediately, and abnormality code is sent to management server.
Industry-by-industry, the energy information of different enterprise, environment information acquisition is in Demand-side supervisory system, and data volume is huge, and front-end collection processing server needs 2 nplatform, the numerical value of n increases along with increasing of enterprise's number.The size of T is configurable, general 1 ~ 5 second.All servers can obtain respective load factor in real time.Time as n=3, have 8 station servers.The load factor of each server is as follows:
Pf1,Pf2,Pf3,Pf4,Pf5,Pf6,Pf7,Pf8
When data acquisition comes, if the second station server Pf2 value is minimum.
The disposal route of the 1st, 3,4,5,6,7,8 is as follows: first arrange this 8 data by order from small to large.Find that Pf2 is minimum, be not that the Pf of the machine is minimum, at this time just receiving flag variable set to 0, represent the machine and do not process these data.
2nd station server, can cross above data sorting and find that the machine is minimum, receiving flag variable is put 1, represents and receives and process this data.
Described server is positioned at same machine room, or is distributed in the different machine rooms of diverse geographic location; When all servers are positioned at same machine room, each server uses an IP, and each server uses different port numbers PORT, and Servers-all uses PORT shake hands or connect, under this kind of pattern, the communication terminal of supervisory layers utilizes this IP to connect these servers; When the different machine room of server distribution at diverse geographic location, each server has a fixing IP, connected by respective IP between each server, under this kind of pattern, Servers-all adopts VPN together virtual, virtual VPN title: VPNname, the communication terminal of supervisory layers, by inserting this VPNname, realizes being connected with these servers.
Described step 3) is, for the data collected, judges height and the quality of power supply quality of output power factor, and according to time period united analysis, thus sum up electricity consumption rule, work out energy-saving scheme, concrete grammar is as follows:
After logging in supervisory system, enter real-time data base, adopt large data technique allocation data, data are divided into economic data, environmental data, incident data and electrical network parameter data;
The disposal route of described economic data is as follows:
Consumption trading volume Ei, represents consuming capacity, if Ei value is high, economic prosperity is described, product consumption is large, have stimulated commercial production, strengthens power consumption; On the contrary, if Ei value is too small, then illustrate that power consumption can reduce; From current time, 12 months data Ei(i are month forward) be respectively:
E1,E2,E3,E4,E5,E6,E7,E8,E9,E10,E11,E12,
Remove current in maxima and minima, if maximal value is the consumption trading volume E11 in November, minimum value is the consumption trading volume E6 in June, then to remaining 10 data, asks for weighted mean value Ex:
Ex = &Sigma; 1 10 Ei 2 , Ei &NotEqual; E 11 , E 6
Then, and be worth Ey the same period last year and do an average calculating operation, obtain economic data statistical value E, operational method is as follows:
E=(Ex+Ey)/2;
The disposal route of described environmental data:
The temperature curve of 7 days after current time is drawn according to data of weather forecast, current temperature is T1, when constant temperature rises, find maximum temperature point Tmax, suppose that Tmax point appears in following X days, then temperature curve escalating rate Tc=(Tmax-T1)/X, wherein X≤7, according to the size of Tc, the escalating rate of prediction electric load;
The disposal route of described incident data:
Described incident data comprises disaster and war data Zx, when Zx is greater than disaster index Z, unconditionally sends power failure instruction;
The disposal route of described electrical network parameter data:
Setting electric load maximal value Pmax, when real-time electric power load is greater than Pmax, is covered Pmax;
After data have been allocated, the maximal workload P of computation requirement side system prediction:
P=Pc*(E/Ey)*Tc–Pj;
Wherein Pc: current load, E: economic data statistical value, Ey: the same period last year economic data statistical value, Tc: temperature curve escalating rate, Py: the load that can save out;
As P<Pmax, make P=Pmax*1.2;
As Zx>Z, make P=0;
As P=0, generate power failure instruction; During P ≠ 0, the maximal workload that generation forecast goes out.
By reference to the accompanying drawings the specific embodiment of the present invention is described although above-mentioned; but not limiting the scope of the invention; on the basis of technical scheme of the present invention, those skilled in the art do not need to pay various amendment or distortion that creative work can make still within protection scope of the present invention.

Claims (10)

1. an electric power demand side supervisory system, is characterized in that, it comprises:
Client layer, for dividing the difference of the power-economizing method of whole distribution system according to trade power consumption feature;
Data Layer, adopts intelligent load control terminal, for gathering the power consumer data of client layer;
Service layer, adopts cloud computing technology and large data technique, for processing the data that process data Layer collects;
Supervisory layers, the cloud of access service layer, for real-time monitoring power electric load, statistics electric power energy consumption, check and managing power service condition, Accurate Prediction goes out the size of following load, and checks the size of energy-saving potential, thus determines the type of energy-saving device;
Wherein, described client layer comprises traffic electricity consumption, industrial and mining enterprises, large scale business body, university's park, office building and office building, large scale industry garden, property plots, hospital, city illumination and communications equipment room; Corresponding energy-saving device is specific as follows:
Described traffic electricity consumption adopts Power Quality Comprehensive Treatment Device, reactive power compensator and RHVC, described Power Quality Comprehensive Treatment Device comprises filter and stable-pressure device, filter is used for the harmonic wave in filtering circuit, reduce electric energy loss, stable-pressure device, for the protection of the motor on locomotive, increases the service life; Wherein, described filter includes active power filtering and passive filtering;
Described industrial and mining enterprises adopt reactive power compensator, filter, RHVC and stable-pressure device;
Described large scale business body adopts energy-saving device of air conditioner, active filter, lighting retrofit device and photovoltaic water heater;
Described university's park adopts energy saving device for lighting, active filter, Intelligent power distribution device, Frequency Conversion Modification device and photovoltaic water heater;
Described office building and office building adopt energy-saving device of air conditioner, lighting retrofit and Power Quality Comprehensive Treatment Device;
Described large scale industry garden adopts energy saving of system, specifically comprises reactive power compensator, filter, stable-pressure device and Frequency Conversion Modification device;
Described property plots adopts energy saving device for lighting, active filter, Intelligent power distribution device and Frequency Conversion Modification device;
Described hospital adopts active filter and Intelligent power distribution device;
Described city illumination adopts the replacing of pressure regulating energy-saving device, light fixture, intelligent controlling device and reactive power compensator;
Described communications equipment room adopts active filter, stable-pressure device, environmental monitoring installation and Intelligent power distribution device, and described environmental monitoring installation comprises device for monitoring temperature, temperature-detecting device and apparatus for monitoring power supply.
2. electric power demand side supervisory system according to claim 1, is characterized in that, the number of described intelligent load control terminal is determined by the number of energy-efficient equipment and monitoring point; Described number of data layers is according to being stored in this locality, and intelligent load management terminal has embedded front-end server module, supports single-threaded web access and FTP service.
3. electric power demand side supervisory system according to claim 1, it is characterized in that, described service layer comprises the server that several are distributed in diverse geographic location, Servers-all is by fire wall access network, and all server system platforms are Linux/Unix, comprise redhat, centos, ubuntu, opensuse, FreeBSD;
Described service layer, mainly for the data collected, judges height and the quality of power supply quality of output power factor, and according to time period united analysis, thus sum up electricity consumption rule, the size of the following load of Accurate Prediction, can also work up rational energy-saving scheme, concrete grammar is as follows:
After logging in supervisory system, enter real-time data base, adopt large data technique allocation data, be divided into economic data, environmental data, incident data and electrical network parameter data by data;
The disposal route of described economic data is as follows:
Consumption trading volume Ei, represents consuming capacity, if Ei value is high, economic prosperity is described, product consumption is large, have stimulated commercial production, strengthens power consumption; On the contrary, if Ei value is too small, then illustrate that power consumption can reduce; From current time, 12 months data Ei, i are month forward, are respectively:
E1,E2,E3,E4,E5,E6,E7,E8,E9,E10,E11,E12,
Remove current in maximal value Emax and minimum value Emin, then to remaining 10 data, ask for weighted mean value Ex:
Ex = &Sigma; 1 10 Ei 2 , Ei &NotEqual; E max , E min
Then, and did an average calculating operation with time value Ey upper one year, obtain economic data statistical value E, operational method is as follows:
E=(Ex+Ey)/2;
The disposal route of described environmental data:
The temperature curve of 7 days after current time is drawn according to data of weather forecast, current temperature is T1, when constant temperature rises, find maximum temperature point Tmax, suppose that Tmax point appears in following X days, then temperature curve escalating rate Tc=(Tmax-T1)/X, wherein X≤7, according to the size of Tc, the escalating rate of prediction electric load;
The disposal route of described incident data:
Described incident data comprises disaster and war data Zx, when Zx is greater than disaster index Z, unconditionally sends power failure instruction;
The disposal route of described electrical network parameter data:
Setting electric load maximal value Pmax, when real-time electric power load is greater than Pmax, is covered Pmax;
After data have been allocated, the maximal workload P of computation requirement side system prediction:
P=Pc*(E/Ey)*Tc–Pj;
Wherein Pc: current load, E: economic data statistical value, Ey: the same period last year economic data statistical value, Tc: temperature curve escalating rate, Pj: the load that can save out;
As P<Pmax, make P=Pmax*1.2;
As Zx>Z, make P=0;
As P=0, generate power failure instruction; During P ≠ 0, the maximal workload that generation forecast goes out.
4. electric power demand side supervisory system according to claim 3, is characterized in that, described server comprises:
Apps server, for business logic being sent to client by various agreement, the approach it providing access business logic uses for client application, employs modbus, 61850,104 electric power stipulations;
LIST SERVER, for preserving each enterprises and institutions of access electric power demand side supervisory system, mainly title and code agency, each enterprises and institutions situation of the existing operation of convenient inquiry; Adopt LDAP technology, LDAP is Light Directory Access Protocol, and English full name is Lightweight Directory Access Protocol, it, based on X.500 standard, can customize, as required from X.500 different, LDAP supports TCP/IP, in order to access Internet;
Mail server, for automatic generating run daily record, generates traffic reports, system exception diagnostic message, generates mail and is saved on this server, facilitate supervisory control system running; And for user receiving system information mail; The mail technique used is hmailserver, Extmail, Macallan Mail Solution, AfterLogic XMail Server, one or more in ArGoSoft Mail Server Free;
Data acquisition server, for gathering data in real time layer data, supports high concurrent, multi-threading correspondence, and this server of framework uses the C++ exploitation of standard, employs moduo C++ network library technology, maximumly can access 60000 intelligent load control terminals;
Database server, for power consumption data and the alert data of record electricity Demand-side supervisory system, employs SQLITE, mySQL, postgreSQL;
Web server, adopts LNMP, is the access of B/S pattern, provides network insertion service; What LNMP represented is exactly: this Website server framework of Nginx+MySQL+PHP under linux system, Linux is the general designation of a class Unix computer operating system, free operating system, Nginx is a HTTP and Reverse Proxy, also be an IMAP/POP3/SMTP proxy server, Mysql is a mini-relational type database monitoring system, PHP is a kind of script of the embedding html document in server end execution, by above-mentioned combination of software to together, become website service system;
Management server, for the safety management of cloud computing resources framework, is managed the ruuning situation of any software and hardware server, and manages the authority of each user by this server monitoring;
Content server, adopting the application software of C++, memory database sqlite design, for managing the parameter of each energy-efficient equipment, ensureing the normal operation of each energy-efficient equipment;
Mobile communication server, adopts LNAP Technical Architecture, facilitates mobile terminal to access, for mobile handheld terminal provides access services.
5. electric power demand side supervisory system according to claim 4, is characterized in that, described data acquisition server comprises 2 nplatform, n is the maximum thread Xn of number divided by single server of monitored enterprise, and these servers adopt collaborative work mode, and concrete grammar is as follows:
1) during server start work, connection of shaking hands is carried out successively between each station server, if shake hands successfully, set up communication link, exchange load factor Pf each other, and setting-up time interval T, every time interval T, exchange once load factor each other, all servers obtain respective load factor in real time, enter step 2); If certain station server is shaken hands unsuccessful, enter step 3);
2) after data acquisition comes, by the load factor of each station server by order arrangement from small to large, if load factor is not minimum, then receiving flag variable is set to 0, represent that the machine does not process these data; If load factor is minimum, then receiving flag variable is put 1, represent and receive and process this data;
3) shake hands continuously 3 times, still can not shake hands, then representing this server has communication failure, and failure code is sent to management server, waits for keeper's handling failure;
In addition, if the communication module of every station server finds that self is abnormal, autoboot immediately, and abnormality code is sent to management server;
Described server is positioned at same machine room, or is distributed in the different machine rooms of diverse geographic location; When all servers are positioned at same machine room, each server uses an IP, and each server uses different port numbers PORT, and Servers-all uses PORT shake hands or connect, under this kind of pattern, the communication terminal of supervisory layers utilizes this IP to connect these servers; When the different machine room of server distribution at diverse geographic location, each server has a fixing IP, connected by respective IP between each server, under this kind of pattern, Servers-all adopts VPN together virtual, the communication terminal of supervisory layers, by inserting virtual VPN title, realizes being connected with these servers.
6. electric power demand side supervisory system according to claim 1, is characterized in that, described supervisory layers comprises:
Load supervisory systems, for the real-time monitoring power electric load of power supply enterprise, the voltage swing of Real-Time Monitoring power distribution network, phase place, frequency, fluctuation and flickering, electric power transient, these parameters of electric power of Voltage Drop;
Energy consumption supervisory systems, for the energy-conservation supervision office statistics electric power energy consumption of government, provides the electric power energy consumption data of annual power consumption number, the electric power energy consumption number of every month, each electricity consumption enterprise, each radio area;
User's supervisory systems, checks the electric energy service condition of our unit, comprises the parameters of power consumption form, power equipment for power consumer;
Handheld device supervisory systems, adopts smart mobile phone or the panel computer of Android or apple system, for by the browser access service layer medium cloud on smart mobile phone or panel computer, checks and managing power service condition;
These four client softwares support B/S, C/S model; The realization of B/S pattern employs up-to-date html 5 framework, supports the browser of each main flow;
Client software under C/S model, use the design of Qt framework storehouse, can use across ubiquitous system platform, the platform supported has windows series, linux/unix series, MAC apple system, this field data storehouse then employs sqlite, the parameter of record software and data sheet, curved bar diagram data shows use QWT storehouse.
7. the method for supervising of the electric power demand side supervisory system described in above-mentioned any one claim, it is characterized in that, concrete steps are as follows:
(1) power-economizing method of whole for client layer distribution system is divided according to the difference of industry;
(2) data Layer utilizes intelligent load control terminal, gathers the power consumer data of client layer;
(3) service layer adopts cloud computing technology and large data technique, the data that processing process data Layer collects;
(4) cloud of supervisory layers access service layer, real-time monitoring power electric load, statistics electric power energy consumption, check and managing power service condition, dope the size of future electrical energy demand load exactly, and check the size of energy-saving potential, thus determine rational power saving scheme;
Wherein, the client layer in step (1) comprises traffic electricity consumption, industrial and mining enterprises, large scale business body, university's park, office building and office building, large scale industry garden, property plots, hospital, city illumination and communications equipment room; The power saving scheme that step (4) correspondence is determined is specific as follows:
Described traffic electricity consumption adopts power quality harnessed synthetically, reactive-load compensation and frequency control, described power quality harnessed synthetically refers to the harmonic wave utilized in filter filtering circuit, reduce electric energy loss, and utilize the motor on stable-pressure device protection locomotive, increase the service life;
Described industrial and mining enterprises adopt reactive-load compensation, filtering process, frequency control and voltage stabilizing process;
Described large scale business body adopts the use of air conditioner energy saving, active power filtering process, lighting retrofit and photovoltaic water heater;
Described university's park adopts the use of lighting energy saving, active power filtering process, intelligent power distribution, Frequency Conversion Modification and photovoltaic water heater;
Described office building and office building adopt air conditioner energy saving, lighting retrofit and power quality harnessed synthetically;
Described large scale industry garden adopts energy saving of system, specifically comprises reactive-load compensation, filtering process, voltage stabilizing process and Frequency Conversion Modification;
Described property plots adopts lighting energy saving, active power filtering process, intelligent power distribution and Frequency Conversion Modification;
Described hospital adopts active power filtering process and intelligent power distribution;
Described city illumination adopts the replacing of pressure regulating energy-saving, light fixture, Based Intelligent Control and reactive-load compensation;
Described communications equipment room adopts active power filtering process, voltage stabilizing process, environmental monitoring and intelligent power distribution, and described environmental monitoring comprises monitoring temperature, temperature detection and Power Supply Monitoring.
8. method for supervising according to claim 7, is characterized in that, the concrete grammar of described step (2) is: be arranged in transformer by online acquisition terminal, be then arranged near consumer, thus gathers power information.
9. method for supervising according to claim 7, is characterized in that, in described step (3), service layer comprises 2 nplatform data acquisition server, n is the maximum thread of number divided by single server of monitored enterprise, and these servers adopt collaborative work mode, and concrete grammar is as follows:
(31) during server start work, connection of shaking hands is carried out successively between each station server, if shake hands successfully, set up communication link, exchange load factor Pf each other, and setting-up time interval T, every time interval T, exchange once load factor each other, all servers obtain respective load factor in real time, enter step (32); If certain station server is shaken hands unsuccessful, enter step (33);
(32) after data acquisition comes, by the load factor of each station server by order arrangement from small to large, if load factor is not minimum, then receiving flag variable is set to 0, represent that the machine does not process these data; If load factor is minimum, then receiving flag variable is put 1, represent and receive and process this data;
(33) shake hands continuously 3 times, still can not shake hands, then representing this server has communication failure, and failure code is sent to management server, waits for keeper's handling failure;
In addition, if the communication module of every station server finds that self is abnormal, autoboot immediately, and abnormality code is sent to management server;
Described server is positioned at same machine room, or is distributed in the different machine rooms of diverse geographic location; When all servers are positioned at same machine room, each server uses an IP, and each server uses different port numbers PORT, and Servers-all uses PORT shake hands or connect, under this kind of pattern, the communication terminal of supervisory layers utilizes this IP to connect these servers; When the different machine room of server distribution at diverse geographic location, each server has a fixing IP, connected by respective IP between each server, under this kind of pattern, Servers-all adopts VPN together virtual, the communication terminal of supervisory layers, by inserting virtual VPN title, realizes being connected with these servers.
10. method for supervising according to claim 7, it is characterized in that, described step (3) is, for the data collected, judge height and the quality of power supply quality of output power factor, and according to time period united analysis, thus sum up electricity consumption rule, work out energy-saving scheme, concrete grammar is as follows:
After logging in supervisory system, enter real-time data base, adopt large data technique allocation data, be divided into economic data, environmental data, incident data and electrical network parameter data by data;
The disposal route of described economic data is as follows:
Consumption trading volume Ei, represents consuming capacity, if Ei value is high, economic prosperity is described, product consumption is large, have stimulated commercial production, strengthens power consumption; On the contrary, if Ei value is too small, then illustrate that power consumption can reduce; From current time, 12 months data Ei, i are month forward, are respectively:
E1,E2,E3,E4,E5,E6,E7,E8,E9,E10,E11,E12,
Remove current in maximal value Emax and minimum value Emin, then to remaining 10 data, ask for weighted mean value Ex:
Ex = &Sigma; 1 10 Ei 2 , Ei &NotEqual; E max , E min
Then, and be worth Ey the same period last year and do an average calculating operation, obtain economic data statistical value E, operational method is as follows:
E=(Ex+Ey)/2;
The disposal route of described environmental data:
The temperature curve of 7 days after current time is drawn according to data of weather forecast, current temperature is T1, when constant temperature rises, find maximum temperature point Tmax, suppose that Tmax point appears in following X days, then temperature curve escalating rate Tc=(Tmax-T1)/X, wherein X≤7, according to the size of Tc, the escalating rate of prediction electric load;
The disposal route of described incident data:
Described incident data comprises disaster and war data Zx, when Zx is greater than disaster index Z, unconditionally sends power failure instruction;
The disposal route of described electrical network parameter data:
Setting electric load maximal value Pmax, when real-time electric power load is greater than Pmax, is covered Pmax;
After data have been allocated, the maximal workload P of computation requirement side system prediction:
P=Pc*(E/Ey)*Tc–Pj;
Wherein Pc: current load, E: economic data statistical value, Ey: the same period last year economic data statistical value, Tc: temperature curve escalating rate, Pj: the load that can save out;
As P<Pmax, make P=Pmax*1.2;
As Zx>Z, make P=0;
As P=0, generate power failure instruction; During P ≠ 0, the maximal workload that generation forecast goes out.
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