CN107329444A - A kind of comprehensive energy Multiple Time Scales coordinated control system and method - Google Patents

A kind of comprehensive energy Multiple Time Scales coordinated control system and method Download PDF

Info

Publication number
CN107329444A
CN107329444A CN201710495806.6A CN201710495806A CN107329444A CN 107329444 A CN107329444 A CN 107329444A CN 201710495806 A CN201710495806 A CN 201710495806A CN 107329444 A CN107329444 A CN 107329444A
Authority
CN
China
Prior art keywords
mrow
msubsup
msup
natural gas
node data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201710495806.6A
Other languages
Chinese (zh)
Other versions
CN107329444B (en
Inventor
王旭
程林
程亮
吴强
田立亭
黄河
高松
江轶
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tsinghua University
State Grid Jiangsu Electric Power Co Ltd
Original Assignee
Tsinghua University
State Grid Jiangsu Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tsinghua University, State Grid Jiangsu Electric Power Co Ltd filed Critical Tsinghua University
Priority to CN201710495806.6A priority Critical patent/CN107329444B/en
Publication of CN107329444A publication Critical patent/CN107329444A/en
Application granted granted Critical
Publication of CN107329444B publication Critical patent/CN107329444B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/048Monitoring; Safety

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

A kind of comprehensive energy Multiple Time Scales coordinated control system and method, belong to comprehensive energy operation control technology field.The system includes day level dispatch layer, coordinates key-course, real-time key-course and data collection layer;Day level dispatch layer includes renewable energy power generation prediction module, Energy Demand Forecast module and plan and in a few days rolling amendment scheduler module a few days ago;Collaborative Control layer includes electric power Collaborative Control unit, heating power Collaborative Control unit and natural gas Collaborative Control unit;Real-time key-course includes the local control device of electric, hot gentle equipment;Data collection layer includes power node data-collecting sub-station, heating power node data acquisition substation and natural gas node data acquisition substation.Information interactive bus collects the cooperation of system information and each level.The present invention can be achieved global long time scale optimization and run and short-term time scale security and stability control, adapts to integrated energy system and coordinates control operation demand, it is adaptable to the regional complex energy resource system comprising electric, heat, gas energy supply.

Description

A kind of comprehensive energy Multiple Time Scales coordinated control system and method
Technical field
Coordinate control the present invention relates to a kind of Multiple Time Scales energy stream comprising electric power, heating power, the Gas Comprehensive energy System and method, belong to comprehensive energy operation control technology field.
Background technology
In existing energy resource system, the control and operation of each energy (electricity/gas/cold heat/traffic) are independent carry out.It is actual On, terminal energy sources, which are presented as between diversified forms, each energy, has close coupled relation.Polytype production is integrated with energy After be presented as integrated energy system, compared with single energy supply system, integrated energy system can effectively improve energy supply and fill Abundant property and security, improve the utilization ratio of system energy, promote the utilization of regenerative resource.
Due to the difference of each energy physical characteristic, the various energy resources in integrated energy system are when collection is monitored and controlled Between there are a variety of demands on yardstick, at present, independent collection and control system is usually taken in each energy, it is impossible to meet comprehensive energy Requirement of the system to each energy Collaborative Control.
There is energy Coupling device in addition to the difference of time scale, in integrated energy system, such as Natural Gas Co-generation is set Standby, electric heating equipment etc..The energy coupled relation and the dynamic characteristic of equipment that each equipment is set up make the control of integrated energy system System becomes sufficiently complex.
The content of the invention
The purpose of the present invention is to be directed to integrated energy system control time different scale and polynary coupled relation, provides one kind The Multiple Time Scales energy stream coordinated control system and method for integrated energy system, that is, provide a kind of suitable for integrated energy system Concentration-distribution type control system and method;According to various energy resources Collaborative Control demand in comprehensive energy collaboration, pass through data Cooperation between interaction and level meets the demand that the operation of integrated energy system economical and efficient and Multiple Time Scales are controlled, and makes Power equipment, heat power equipment and natural gas facility coordinated operation in system, and then meet the hot and cold, electric etc. of system and a variety of use Can demand.
Technical scheme is as follows:
A kind of comprehensive energy Multiple Time Scales coordinated control system, it is characterised in that:The system include day level dispatch layer, Coordinate key-course, real-time key-course, data collection layer and information interactive bus;The day level dispatch layer contains development of renewable energy Electric prediction module, electric power demand forecasting module, heat demand prediction module and plan and in a few days rolling amendment scheduler module a few days ago; The Collaborative Control layer contains electric power Collaborative Control unit, heating power Collaborative Control unit and natural gas Collaborative Control unit;It is described Real-time key-course contains the local control device of power equipment, heat power equipment and natural gas facility;The data collection layer contains There are power node data-collecting sub-station, heating power node data acquisition substation and natural gas node data acquisition substation;
Described power node data-collecting sub-station, heating power node data acquisition substation and natural gas node data collection Stand respectively by optical fiber private network by the Monitoring Data of electrical node data collection station, the monitoring of heating power node data acquisition terminal Data and the Monitoring Data of natural gas node data acquisition terminal are uploaded each data in information exchange with different acquisition speed Bus;Power node data-collecting sub-station is connected with electrical node data collection station using communication, the collection of heating power node data Substation is connected with heating power node data acquisition terminal using communication;Natural gas network node data acquisition substation and natural gas node Data collection station is connected using communication;
Described day level dispatch layer, and coordinate electric power Collaborative Control unit, the heating power Collaborative Control unit in key-course It is connected respectively by communication control network with information interactive bus with natural gas Collaborative Control unit, and by the control parameter of generation The local control for being handed down to administered power equipment, heat power equipment and natural gas facility by respective communication control network is filled Put, and receive the operation information of each equipment feedback, realize two-way communication.
In above-mentioned technical proposal, it is characterised in that:The local control device of the power equipment of the real-time key-course includes Photovoltaic electricity generation controller, wind power generation controller and electrochemical energy storage controller and gas turbine controller;Described heating power The local control device of equipment includes grill pan furnace controller, heat pump controller and gas boiler controller;The natural gas facility Local control device include natural gas tube net controller.
Preferably, the local control device of the electric power Collaborative Control unit and each power equipment is logical using special optic fibre News;The local control device of heating power collaborative controller and heat power equipment is communicated using public or private radio;Natural gas collaboration control The local control device of unit and natural gas facility processed is communicated using public or private radio.
Preferably, the power node data-collecting sub-station is connected with the communication of electrical node data collection station uses light Fine private network, wireless private network or electric line carrier communication;Heating power node data acquisition substation and heating power node data acquisition terminal Communication connection is using wireless public network communication;Natural gas network node data acquisition substation and natural gas node data acquisition terminal Communication connection is using wireless public network communication.
A kind of comprehensive energy Multiple Time Scales control method for coordinating that the present invention is provided, it is characterised in that this method is included such as Lower step:
1) the power node data-collecting sub-station of the data collection layer, heating power node data acquisition substation and natural moral Point data acquisition substation passes through electrical node data collection station, heating power node data acquisition terminal and natural gas nodes respectively According to the metric data of power equipment, heat power equipment and natural gas facility in acquisition terminal acquisition system, and by the measurement number of acquisition According to information interactive bus is pooled to, wherein power node data collection cycle is Δ Te, heating power node data collection period is Δ Th, natural gas node data collection period is Δ Tg
2) day level dispatch layer being predicted the outcome based on various energy resources production in system and with energy demand, using Δ T as when segment length Degree makes plan to electric power, heating power and the natural gas supply in system in one day, to electric power, the heat for coordinating key-course delivery system The schedule of power and natural gas;
It is 3) described to coordinate electric power, heating power, natural gas the operation plan vector that key-course obtains each node of present period system, Respectively:WithWherein, in each element Footmark k represents present period sequence number, and subscript e, h, g of element represent electricity, heat, the class energy resource system of natural gas three respectively, Subscript numeral respectively represent network node sequence number, electric power networks node ID be 1,2 ... n, heating power network node ID For 1,2 ... m, natural gas network node ID is 1,2 ... l, n, m, l are respectively electric power networks node, heating power network section The quantity of point and natural gas network node;Electric power, heating power and the natural gas of system under unified moment t are obtained from information interactive bus Node state vector, be respectively:
Wherein, as hereinbefore, superscript apostrophe represents state estimation information to the upper subscript implication of each element;Coordinate control Preparative layer calculates each node state of system and the deviation of plan under unified moment t:
Electric power Collaborative Control unit, heating power Collaborative Control unit and natural gas Collaborative Control unit point calculate the control of each equipment Parameter processed:
Wherein, [ce1,ce2,ce3,ce4...] and be each power equipment control parameter, feCoordinate control meter for power equipment Calculate function, [ch1,ch2,ch3,ch4...] and be each heat power equipment control parameter, fhCoordinate control for heat power equipment and calculate function, [cg1,cg2,cg3,cg4...] and be each natural gas facility control parameter, fgCoordinate control for natural gas facility and calculate function;
4) electric power Collaborative Control unit, heating power Collaborative Control unit and natural gas Collaborative Control unit confirm each equipment respectively Whether higher level's control model is in, the control parameter obtained by calculating is handed down into this if equipment is in higher level's control model sets It is standby;Collaborative Control unit only receives the operation information of equipment upload if equipment is in autonomous control pattern;
5) within the Δ T periods, electric power Collaborative Control unit, heating power Collaborative Control unit and natural gas Collaborative Control unit are sentenced Whether disconnected system running state meets tolerance scope, and each equipment control parameter is recalculated if being unsatisfactory for;Meanwhile, electricity Power Collaborative Control unit, heating power Collaborative Control unit and natural gas Collaborative Control unit are respectively by communication control network, from institute The local control device for administering equipment obtains equipment job information, and real time coordination control is carried out to each equipment;
6) day level dispatch layer obtains system running state information from data interaction bus, and corrects the tune of future time period according to this Degree plan;
7) k+1 periods, repeat step 1 are entered) -6), so as to realize that comprehensive energy Multiple Time Scales coordinate control.
6th, a kind of comprehensive energy Multiple Time Scales control method for coordinating as claimed in claim 5, it is characterised in that:ΔTe Span be 1s to 5s, Δ ThSpan be 1min to 5min, Δ TgSpan be 10s to 60s;Δ T's takes Value scope is 5min to 30min.
Technique effect of the present invention with advantages below and high-lighting:The comprehensive energy Multiple Time Scales association that the present invention is provided Regulation and control system and method processed, collect electricity, heat, gas energy information by information interactive bus, realize the unified and open interaction of information, Electricity, heat, the multiple communication modes of gas information gathering and communications protocol are adapted to, the validity and in real time of system information interaction is improved Property;It is responsible for the overall operation process optimization of system by day level dispatch layer, for realizing global long time scale control;Pass through association Regulate and control preparative layer and carry out electricity, the coordination control of air and heat, make system operation in economical and efficient state, while electricity, heat, gas coordinate control State and characteristic of the unit according to each equipment, respectively by respective control communication network, carry out adapting to each within dispatching cycle The real-time control of energy resource system response time yardstick, meets system safe and stable operation demand, so as to realize integrated energy system Multiple Time Scales coordinate control.The multi-energy stream that the present invention adapts to integrated energy system coordinates the application demand controlled, is one Practical integrated energy system Multiple Time Scales control system and control method is planted, electric, hot than in current composite energy resource system, Gas energy independence uneoupled control mode, the present invention realizes information gathering in integrated energy system, data processing, interaction and is total to Enjoy and uniformly, meet the demand of integrated energy system economical operation and Multiple Time Scales control.
Brief description of the drawings
Fig. 1 is comprehensive energy Multiple Time Scales cooperative control system structural representation of the invention.
Fig. 2 is comprehensive energy Multiple Time Scales cooperative control method schematic flow sheet of the invention.
Embodiment
The present invention is further illustrated with reference to the accompanying drawings and examples.
Comprehensive energy Multiple Time Scales cooperative control system of the present invention totally uses concentration-distributing control mode, with energy Source output form, the various kinds of equipment in system is carried out to be divided into power equipment, heat power equipment, natural gas control devices, electric power Collaborative Control unit issues control parameter to each power equipment, and heating power Collaborative Control unit issues control ginseng to each heat power equipment Number, natural gas Collaborative Control unit to each natural gas facility to giving hair control parameter;Real-time key-course is set including all kinds of electric power The local control device of standby, heat power equipment and natural gas facility;Data collection layer includes power node data-collecting sub-station, heating power Node data acquisition substation, natural gas node data acquisition substation;Information interactive bus collects the different acquisition time cycle and logical The information of news mode, is accessed for day level dispatch layer and coordination key-course.
Fig. 1 is the structural representation of the comprehensive energy Multiple Time Scales cooperative control system embodiment of the present invention, the system System includes day level dispatch layer 001, coordinates key-course 002, real-time key-course 003, data collection layer 004 and information interactive bus 005。
The day level dispatch layer contains renewable energy power generation prediction module 101, electric power demand forecasting module 102, heating power Requirement forecasting module 103 and plan and in a few days rolling amendment scheduler module 104 a few days ago.Day level dispatch layer 001 is responsible for whole comprehensive The energy management of energy resource system, it being predicted the outcome based on various energy resources production in system and with energy demand, with system can be again It is target to give birth to energy consumption and economy, and each node power of system, heating power and natural gas in one day are produced by the cycle of Δ T Make plan, according to system power supply, heat supply, natural gas system network node state, and obtain system from information interactive bus Running status is in a few days planning to carry out rolling amendment.
Coordinate key-course 002 containing electric power Collaborative Control unit 201, heating power Collaborative Control unit 202 and natural gas collaboration Control unit 203;Coordinate key-course to be responsible for all kinds of electric power, heating power, the calculating of the coordination control instruction of natural gas facility and issue, It is based on information interactive bus and obtains system electricity, heat, gas network node state, calculates each node state of current time system and meter The deviation drawn, and each power equipment, each heat power equipment and each natural gas facility are calculated according to the state of administered equipment respectively Control parameter.
Described day level dispatch layer 001, and electric power Collaborative Control unit 201, the heating power coordinated in key-course 002 are cooperateed with Control unit 202 and natural gas Collaborative Control unit 203 are connected by communication control network with information interactive bus 005 respectively, And the control parameter of generation is handed down to administered power equipment, heat power equipment and natural by respective communication control network The local control device of gas equipment, and receive the operation information of each equipment feedback, realize two-way communication.
Real-time key-course includes the local control device of various kinds of equipment, and it receives the control parameter for coordinating key-course, and instead Present the status information of various kinds of equipment.Each local control device of equipment has the two kinds of work of autonomous control pattern and higher level's control model Pattern:Under autonomous control pattern, each equipment is responded according to local measurement information;Under higher level's control model, various kinds of equipment is pressed Control parameter is adjusted according to the instruction for coordinating key-course, each node of maintenance system and the deviation planned meet system requirements.The reality When key-course contain the local control device of power equipment, heat power equipment and natural gas facility;Wherein power equipment is local Control device includes photovoltaic electricity generation controller 301, wind power generation controller 302 and electrochemical energy storage controller 303 and combustion gas Turbine controller 311;The local control device of described heat power equipment includes grill pan furnace controller 312, the and of heat pump controller 313 Gas boiler controller 314;The local control device of the natural gas facility includes natural gas tube net controller 321.
The data collection layer contains power node data-collecting sub-station 401, heating power node data acquisition substation 402 and day Right moral point data acquisition substation 403;Described power node data-collecting sub-station, heating power node data acquisition substation and natural Moral point data acquisition substation is respectively by optical fiber private network by the Monitoring Data of electrical node data collection station, heating power nodes According to the Monitoring Data of acquisition terminal and the Monitoring Data of natural gas node data acquisition terminal with different acquisition speed by each number According to uploading in information interactive bus 005;Power node data-collecting sub-station is connected with electrical node data collection station using communication Connect, heating power node data acquisition substation is connected with heating power node data acquisition terminal using communication;Natural gas network node data Acquisition substation is connected with natural gas node data acquisition terminal using communication;Wherein, power node data-collecting sub-station with electrically The communication connection of node data acquisition terminal is using optical fiber private network, wireless private network or electric line carrier communication;Heating power node data Acquisition substation is connected with the communication of heating power node data acquisition terminal using wireless public network communication;Natural gas network node data is adopted Collection substation is connected with the communication of natural gas node data acquisition terminal using wireless public network communication.
Above- mentioned information interaction bus is adapted to the data message of different acquisition cycle and communications protocol, realizes systematic electricity, heat Power, natural gas multi-source information collect and are uniformly processed, and are day level dispatch layer and to coordinate key-course and provide information interface.
Above-mentioned day level dispatch layer, coordination key-course, real-time key-course, data collection layer and information interactive bus are using as follows Communication modes:Electrical network data acquisition uses optical fiber private network/wireless private network/electric line carrier communication, collects each electric measurement End message is to power node data-collecting sub-station;Heating power network data acquisition is communicated using wireless public network, is collected each heating power and is surveyed End message is measured to heating power node data acquisition substation;Natural gas network data acquisition is communicated using wireless public network, collects each day Right gas measuring terminals information is to natural gas node data acquisition substation;Collect power node data acquisition using optical fiber private network Stand, heating power node data acquisition substation, natural gas node data acquisition substation gather information to information interactive bus;Electric power is cooperateed with Control unit, heating power Collaborative Control unit, natural gas Collaborative Control unit by information interactive bus read system mode, and according to The control instruction of its management and control devices is calculated according to integrated control strategy and algorithm;Electric power Collaborative Control unit and photovoltaic generation control The power equipments such as device processed, wind power generation controller, electrochemical energy storage controller, gas turbine controller are logical using special optic fibre News, issue control instruction with 5s-60s time cycle and receive each equipment state and feed back;Heating power collaborative controller and electric boiler The heat power equipments such as controller, gas boiler controller are communicated using public or private radio, with 1min-10min time cycle Issue control instruction and receive each equipment state feedback;Natural gas collaborative controller is adopted with the control of gas distributing system valve, voltage adjusting device Communicated with public or private radio, control instruction is issued with 1min-10min time cycle and each equipment state is received and fed back.
Fig. 2 is the workflow schematic diagram of the comprehensive energy Multiple Time Scales cooperative control system of the present invention, system coordination The step of work, is as follows:
1) data collection layer passes through power node data-collecting sub-station, heating power node data acquisition substation and natural gas node Data-collecting sub-station obtains system electricity, heat, wherein tolerance measurement information, power node data collection cycle from each acquisition terminal respectively For Δ Te, heating power node data collection period is Δ Th, natural gas node data collection period is Δ Tg, each substation uploading system Electricity, heat, the gathered data of moral point, and it is pooled to information interactive bus.Wherein, Δ TeSpan be 1s to 5s, Δ Th's Span is 1min to 5min, Δ TgSpan be 10s to 60s;
2) above-mentioned day level dispatch layer is based on various energy resources production and predicting the outcome with energy demand in system, using Δ T as week Phase makes plan to each node power, heating power and the natural gas supply of system in one day, Δ T span for 5min extremely 30min, to the schedule for the electric power, heating power, natural gas for coordinating each node of key-course delivery system;
3) above-mentioned coordination key-course obtains electricity, heat, the gas operation plan vector of each node of present period system, is respectively:Wherein each element superscript k tables Show present period sequence number, subscript e, h, g of element represent electricity, heat, the class energy resource system of gas three respectively, and subscript numeral is represented respectively The sequence number of network node, electric power networks node ID be 1,2 ... n, heating power network node ID be 1,2 ... m, natural gas Network node serial number 1,2 ... l;System electricity, heat, the moral dotted state vector under unified moment t are obtained from bus, Respectively: Wherein as hereinbefore, superscript apostrophe represents state estimation information to the upper subscript implication of each element;Coordinate key-course to calculate Each node state of system and the deviation of plan under unified moment t: Electric power Collaborative Control unit, heating power Collaborative Control unit, natural gas Collaborative Control unit calculate each equipment by Integrated Strategy respectively Control parameter: Wherein, [ce1,ce2,ce3,ce4...] join for the control of each power equipment Number, feCoordinate control for power equipment and calculate function, [ch1,ch2,ch3,ch4...] and be each heat power equipment control parameter, fhFor Heat power equipment coordinates control and calculates function, [cg1,cg2,cg3,cg4...] and be each natural gas facility control parameter, fgTo be natural The control of gas equipment coordination calculates function;
4) electric power Collaborative Control unit, heating power Collaborative Control unit, natural gas Collaborative Control unit by control network with Administered equipment is communicated, and confirms whether each equipment is in higher level's control model, will be calculated if in higher level's control model Parameter is handed down to each equipment;The operation information that recrive-only equipment is uploaded if equipment is in autonomous control pattern;
5) within the Δ T periods, electric power Collaborative Control unit, heating power Collaborative Control unit, natural gas Collaborative Control unit are sentenced Whether disconnected system running state meets operation deviation range, each equipment control parameter is recalculated if being unsatisfactory for, and issue Local control device to equipment;Meanwhile, electric power Collaborative Control unit, heating power Collaborative Control unit and natural gas Collaborative Control list Member by communication control network, obtains equipment job information from each administration equipment, real time coordination control is carried out to each equipment respectively, Guarantee system safe and stable operation, when safety and stability requirement is runed counter to operation plan, will not maintain the uniformity with plan;
6) day level dispatch layer obtains system running state from data interaction bus, and corrects the scheduling meter of future time period according to this Draw, that is, update k+1 and the operation plan of later period;
7) k+1 periods, repeat step 1 are entered) -6), so as to realize that comprehensive energy Multiple Time Scales coordinate control.
Embodiment:
Fig. 1 is comprehensive energy Multiple Time Scales cooperative control system structural representation of the invention.Comprehensive energy of the present invention Multiple Time Scales cooperative control system totally uses concentration-distributing control mode, including:Day level dispatch layer 001, coordinate control Layer 002, real-time key-course 003, data collection layer 004, information interactive bus 005.
The day level dispatch layer 001 includes:Renewable energy power generation prediction module 101, electric power demand forecasting module 102, Heat demand prediction module 103 and plan and in a few days rolling amendment scheduler module 104 a few days ago.Day level dispatch layer 001 using Δ T as when Between the cycle be scheduled plan arrange, Δ T=15min is taken herein, i.e., a few days ago plan include 96 periods.
The Collaborative Control layer 002 includes:Electric power Collaborative Control unit 201, heating power Collaborative Control unit 202 and natural gas Collaborative Control unit 203.Each Collaborative Control unit from information interactive bus 005 obtain data, calculate generation system in each electric power, The Collaborative Control instruction of heating power and natural gas facility.Power equipment in the real-time key-course 003 of 002 pair of electric power Collaborative Control unit Send instruction;Heat power equipment in the real-time key-course 003 of 003 pair of heating power Collaborative Control unit sends instruction;Natural gas collaboration control Unit processed to the natural gas facility in real-time key-course 003 to sending instruction.
The real-time key-course 003 is related to the local control device of power equipment, heat power equipment and natural gas facility.Electric power The local control device of equipment includes:Photovoltaic electricity generation controller 301, wind power generation controller 302, electrochemical energy storage controller 303 and gas turbine controller 311;The controller of heat power equipment includes:Grill pan furnace controller 312, heat pump controller 313 and combustion Steam pot furnace controller 314;Natural gas facility controller includes:Natural gas tube net controller 321.
The data collection layer 004 includes:Power node data-collecting sub-station 401, heating power node data acquisition substation 402 With natural gas node data acquisition substation 403;Power node data-collecting sub-station collects each electric number by dedicated fibre optical network According to the metric data of acquisition terminal, data collection cycle is 1s;Heating power node data acquisition substation is logical by GPRS wireless public networks News collect the metric data of each heating power data acquisition terminal, and data collection cycle is 1min;Natural gas node data acquisition substation The metric data for collecting each Natural gas data acquisition terminal is communicated by GPRS wireless public networks, data collection cycle is 1min.
Described information interaction bus 005 passes through dedicated fibre optical network and power node data-collecting sub-station 401, heating power node Data-collecting sub-station 402, natural gas node data acquisition substation 403 are communicated, and data are carried out with unified markers processing.Information is handed over Mutual bus is to electric power Collaborative Control unit 201, heating power Collaborative Control unit 202, natural gas Collaborative Control unit 203 and day level Dispatch layer provides information interactive interface.

Claims (6)

1. a kind of comprehensive energy Multiple Time Scales coordinated control system, it is characterised in that:The system includes day level dispatch layer (001) key-course (002), real-time key-course (003), data collection layer (004) and information interactive bus (005), are coordinated;It is described Day level dispatch layer contains renewable energy power generation prediction module (101), electric power demand forecasting module (102), heat demand prediction Module (103) and plan and in a few days rolling amendment scheduler module (104) a few days ago;The Collaborative Control layer contains electric power Collaborative Control Unit (201), heating power Collaborative Control unit (202) and natural gas Collaborative Control unit (203);The real-time key-course contains electricity The local control device of power equipment, heat power equipment and natural gas facility;The data collection layer, which contains power node data, to be adopted Collect substation (401), heating power node data acquisition substation (402) and natural gas node data acquisition substation (403);
Described power node data-collecting sub-station, heating power node data acquisition substation and natural gas node data acquisition substation point Not by optical fiber private network by the Monitoring Data of electrical node data collection station, the Monitoring Data of heating power node data acquisition terminal And the Monitoring Data of natural gas node data acquisition terminal is uploaded each data in information interactive bus with different acquisition speed (005);Power node data-collecting sub-station is connected with electrical node data collection station using communication, the collection of heating power node data Substation is connected with heating power node data acquisition terminal using communication;Natural gas network node data acquisition substation and natural gas node Data collection station is connected using communication;
Described day level dispatch layer, and coordinate electric power Collaborative Control unit (201), the heating power Collaborative Control unit in key-course (202) it is connected respectively by communication control network with information interactive bus (005) with natural gas Collaborative Control unit (203), and The control parameter of generation is handed down to administered power equipment, heat power equipment and natural gas by respective communication control network The local control device of equipment, and receive the operation information of each equipment feedback, realize two-way communication.
2. a kind of comprehensive energy Multiple Time Scales coordinated control system as claimed in claim 1, it is characterised in that:It is described real-time The local control device of the power equipment of key-course includes photovoltaic electricity generation controller (301), wind power generation controller (302) and electricity Chemical energy storage controller (303) and gas turbine controller (311);The local control device of described heat power equipment includes electricity Boiler controller (312), heat pump controller (313) and gas boiler controller (314);The local control of the natural gas facility Device includes natural gas tube net controller (321).
3. a kind of comprehensive energy Multiple Time Scales coordinated control system as claimed in claim 1 or 2, it is characterised in that:It is described The local control device of electric power Collaborative Control unit and each power equipment is communicated using special optic fibre;Heating power collaborative controller and heat The local control device of power equipment is communicated using public or private radio;The sheet of natural gas Collaborative Control unit and natural gas facility Ground control device is communicated using public or private radio.
4. a kind of comprehensive energy Multiple Time Scales coordinated control system as claimed in claim 1, it is characterised in that:The electric power Node data acquisition substation is connected with the communication of electrical node data collection station using optical fiber private network, wireless private network or power line Carrier communication;Heating power node data acquisition substation is connected with the communication of heating power node data acquisition terminal is led to using wireless public network News;Natural gas network node data acquisition substation is connected with the communication of natural gas node data acquisition terminal is led to using wireless public network News.
5. coordinate control using a kind of comprehensive energy Multiple Time Scales of the control system as described in claim 1-4 any claims Method processed, it is characterised in that this method comprises the following steps:
1) the power node data-collecting sub-station of the data collection layer, heating power node data acquisition substation and natural gas nodes Adopted respectively by electrical node data collection station, heating power node data acquisition terminal and natural gas node data according to acquisition substation Collect the metric data of power equipment, heat power equipment and natural gas facility in terminal acquisition system, and the metric data of acquisition is converged Collect information interactive bus, wherein power node data collection cycle is Δ Te, heating power node data collection period is Δ Th, day Right moral point data collection period is Δ Tg
2) day level dispatch layer is based on various energy resources production and predicting the outcome with energy demand in system, using Δ T as Period Length pair Electric power, heating power and natural gas supply in one day in system make plan, to coordinate the electric power of key-course delivery system, heating power and The schedule of natural gas;
3) it is described to coordinate electric power, heating power, natural gas the operation plan vector that key-course obtains each node of present period system, respectively For:WithWherein, each element superscript K represents present period sequence number, and subscript e, h, g of element represent electric power, heating power, the class energy resource system of natural gas three, inferior horn respectively Mark numeral represents the sequence number of network node respectively, and n, m, l are respectively electric power networks node, heating power network node and natural gas network The quantity of node;The electric power of system under unified moment t, heating power and natural gas node state vector are obtained from information interactive bus, Respectively:
<mrow> <msup> <msubsup> <mi>p</mi> <mi>e</mi> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <msup> <mrow> <mo>&amp;lsqb;</mo> <msup> <msubsup> <mi>p</mi> <mrow> <mi>e</mi> <mn>1</mn> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>,</mo> <msup> <msubsup> <mi>p</mi> <mrow> <mi>e</mi> <mn>2</mn> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>...</mo> <mo>,</mo> <msup> <msubsup> <mi>p</mi> <mrow> <mi>e</mi> <mi>n</mi> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&amp;rsqb;</mo> </mrow> <mi>T</mi> </msup> </mrow>
<mrow> <msup> <msubsup> <mi>p</mi> <mi>h</mi> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>=</mo> <msup> <mrow> <mo>&amp;lsqb;</mo> <msup> <msubsup> <mi>p</mi> <mrow> <mi>h</mi> <mn>1</mn> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>,</mo> <msup> <msubsup> <mi>p</mi> <mrow> <mi>h</mi> <mn>2</mn> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>...</mo> <mo>,</mo> <msubsup> <mi>p</mi> <mrow> <mi>h</mi> <mi>m</mi> </mrow> <mi>k</mi> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&amp;rsqb;</mo> </mrow> <mi>T</mi> </msup> </mrow>
<mrow> <msup> <msubsup> <mi>v</mi> <mi>g</mi> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mo>=</mo> <msup> <mrow> <mo>&amp;lsqb;</mo> <msup> <msubsup> <mi>v</mi> <mrow> <mi>g</mi> <mn>1</mn> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>,</mo> <msup> <msubsup> <mi>v</mi> <mrow> <mi>g</mi> <mn>2</mn> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>...</mo> <mo>,</mo> <msup> <msubsup> <mi>v</mi> <mrow> <mi>g</mi> <mi>l</mi> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>&amp;rsqb;</mo> </mrow> <mi>T</mi> </msup> <mo>,</mo> </mrow>
Wherein, as hereinbefore, superscript apostrophe represents state estimation information to the upper subscript implication of each element;Coordinate key-course Calculate each node state of system and the deviation of plan under unified moment t:
<mrow> <msubsup> <mi>&amp;Delta;p</mi> <mi>e</mi> <mi>k</mi> </msubsup> <mo>=</mo> <msup> <mrow> <mo>&amp;lsqb;</mo> <msup> <msubsup> <mi>p</mi> <mrow> <mi>e</mi> <mn>1</mn> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>-</mo> <msubsup> <mi>p</mi> <mrow> <mi>e</mi> <mn>1</mn> </mrow> <mi>k</mi> </msubsup> <mo>,</mo> <msubsup> <mi>p</mi> <mrow> <mi>e</mi> <mn>2</mn> </mrow> <mi>k</mi> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>-</mo> <msubsup> <mi>p</mi> <mrow> <mi>e</mi> <mn>2</mn> </mrow> <mi>k</mi> </msubsup> <mo>,</mo> <mo>...</mo> <mo>,</mo> <msup> <msubsup> <mi>p</mi> <mrow> <mi>e</mi> <mi>n</mi> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>-</mo> <msubsup> <mi>p</mi> <mrow> <mi>e</mi> <mn>2</mn> </mrow> <mi>k</mi> </msubsup> <mo>&amp;rsqb;</mo> </mrow> <mi>T</mi> </msup> </mrow>
<mrow> <msubsup> <mi>&amp;Delta;p</mi> <mi>h</mi> <mi>k</mi> </msubsup> <mo>=</mo> <msup> <mrow> <mo>&amp;lsqb;</mo> <msup> <msubsup> <mi>p</mi> <mrow> <mi>h</mi> <mn>1</mn> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>-</mo> <msubsup> <mi>p</mi> <mrow> <mi>h</mi> <mn>1</mn> </mrow> <mi>k</mi> </msubsup> <mo>,</mo> <msubsup> <mi>p</mi> <mrow> <mi>h</mi> <mn>2</mn> </mrow> <mi>k</mi> </msubsup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>-</mo> <msubsup> <mi>p</mi> <mrow> <mi>h</mi> <mn>2</mn> </mrow> <mi>k</mi> </msubsup> <mo>,</mo> <mo>...</mo> <mo>,</mo> <msup> <msubsup> <mi>p</mi> <mrow> <mi>h</mi> <mi>m</mi> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>-</mo> <msubsup> <mi>p</mi> <mrow> <mi>h</mi> <mi>m</mi> </mrow> <mi>k</mi> </msubsup> <mo>&amp;rsqb;</mo> </mrow> <mi>T</mi> </msup> </mrow>
<mrow> <msubsup> <mi>&amp;Delta;v</mi> <mi>g</mi> <mi>k</mi> </msubsup> <mo>=</mo> <msup> <mrow> <mo>&amp;lsqb;</mo> <msup> <msubsup> <mi>v</mi> <mrow> <mi>g</mi> <mn>1</mn> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>-</mo> <msubsup> <mi>v</mi> <mrow> <mi>g</mi> <mn>1</mn> </mrow> <mi>k</mi> </msubsup> <mo>,</mo> <msup> <msubsup> <mi>v</mi> <mrow> <mi>g</mi> <mn>2</mn> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>-</mo> <msubsup> <mi>v</mi> <mrow> <mi>g</mi> <mn>2</mn> </mrow> <mi>k</mi> </msubsup> <mo>,</mo> <mo>...</mo> <mo>,</mo> <msup> <msubsup> <mi>v</mi> <mrow> <mi>g</mi> <mi>l</mi> </mrow> <mi>k</mi> </msubsup> <mo>&amp;prime;</mo> </msup> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>-</mo> <msubsup> <mi>v</mi> <mrow> <mi>g</mi> <mi>l</mi> </mrow> <mi>k</mi> </msubsup> <mo>&amp;rsqb;</mo> </mrow> <mi>T</mi> </msup> <mo>;</mo> </mrow>
Electric power Collaborative Control unit, heating power Collaborative Control unit and natural gas Collaborative Control unit point calculate the control ginseng of each equipment Number:
<mrow> <mo>&amp;lsqb;</mo> <msub> <mi>c</mi> <mrow> <mi>e</mi> <mn>1</mn> </mrow> </msub> <mo>,</mo> <msub> <mi>c</mi> <mrow> <mi>e</mi> <mn>2</mn> </mrow> </msub> <mo>,</mo> <msub> <mi>c</mi> <mrow> <mi>e</mi> <mn>3</mn> </mrow> </msub> <mo>,</mo> <msub> <mi>c</mi> <mrow> <mi>e</mi> <mn>4</mn> </mrow> </msub> <mo>,</mo> <mo>...</mo> <mo>&amp;rsqb;</mo> <mo>=</mo> <msub> <mi>f</mi> <mi>e</mi> </msub> <mrow> <mo>(</mo> <msubsup> <mi>&amp;Delta;p</mi> <mi>e</mi> <mi>k</mi> </msubsup> <mo>,</mo> <msubsup> <mi>&amp;Delta;p</mi> <mi>h</mi> <mi>k</mi> </msubsup> <mo>,</mo> <msubsup> <mi>&amp;Delta;v</mi> <mi>g</mi> <mi>k</mi> </msubsup> <mo>)</mo> </mrow> </mrow>
<mrow> <mo>&amp;lsqb;</mo> <msub> <mi>c</mi> <mrow> <mi>h</mi> <mn>1</mn> </mrow> </msub> <mo>,</mo> <msub> <mi>c</mi> <mrow> <mi>h</mi> <mn>2</mn> </mrow> </msub> <mo>,</mo> <msub> <mi>c</mi> <mrow> <mi>h</mi> <mn>3</mn> </mrow> </msub> <mo>,</mo> <msub> <mi>c</mi> <mrow> <mi>h</mi> <mn>4</mn> </mrow> </msub> <mo>,</mo> <mo>...</mo> <mo>&amp;rsqb;</mo> <mo>=</mo> <msub> <mi>f</mi> <mi>h</mi> </msub> <mrow> <mo>(</mo> <msubsup> <mi>&amp;Delta;p</mi> <mi>e</mi> <mi>k</mi> </msubsup> <mo>,</mo> <msubsup> <mi>&amp;Delta;p</mi> <mi>h</mi> <mi>k</mi> </msubsup> <mo>,</mo> <msubsup> <mi>&amp;Delta;v</mi> <mi>g</mi> <mi>k</mi> </msubsup> <mo>)</mo> </mrow> </mrow>
<mrow> <mo>&amp;lsqb;</mo> <msub> <mi>c</mi> <mrow> <mi>g</mi> <mn>1</mn> </mrow> </msub> <mo>,</mo> <msub> <mi>c</mi> <mrow> <mi>g</mi> <mn>2</mn> </mrow> </msub> <mo>,</mo> <msub> <mi>c</mi> <mrow> <mi>g</mi> <mn>3</mn> </mrow> </msub> <mo>,</mo> <msub> <mi>c</mi> <mrow> <mi>g</mi> <mn>4</mn> </mrow> </msub> <mo>,</mo> <mo>...</mo> <mo>&amp;rsqb;</mo> <mo>=</mo> <msub> <mi>f</mi> <mi>g</mi> </msub> <mrow> <mo>(</mo> <msubsup> <mi>&amp;Delta;p</mi> <mi>e</mi> <mi>k</mi> </msubsup> <mo>,</mo> <msubsup> <mi>&amp;Delta;p</mi> <mi>h</mi> <mi>k</mi> </msubsup> <mo>,</mo> <msubsup> <mi>&amp;Delta;v</mi> <mi>g</mi> <mi>k</mi> </msubsup> <mo>)</mo> </mrow> </mrow>
Wherein, [ce1,ce2,ce3,ce4...] and be each power equipment control parameter, feCoordinate control for power equipment and calculate letter Number, [ch1,ch2,ch3,ch4...] and be each heat power equipment control parameter, fhCoordinate control for heat power equipment and calculate function, [cg1, cg2,cg3,cg4...] and be each natural gas facility control parameter, fgCoordinate control for natural gas facility and calculate function;
4) whether electric power Collaborative Control unit, heating power Collaborative Control unit and natural gas Collaborative Control unit confirm each equipment respectively In higher level's control model, the control parameter obtained by calculating is handed down to the equipment if equipment is in higher level's control model; Collaborative Control unit only receives the operation information of equipment upload if equipment is in autonomous control pattern;
5) within the Δ T periods, electric power Collaborative Control unit, heating power Collaborative Control unit and natural gas Collaborative Control unit judges system Whether system running status meets tolerance scope, and each equipment control parameter is recalculated if being unsatisfactory for;Meanwhile, electric power association Same control unit, heating power Collaborative Control unit and natural gas Collaborative Control unit are respectively by communication control network, from being administered The local control device of equipment obtains equipment job information, and real time coordination control is carried out to each equipment;
6) day level dispatch layer obtains system running state information from data interaction bus, and corrects the scheduling meter of future time period according to this Draw;
7) k+1 periods, repeat step 1 are entered) -6), so as to realize that comprehensive energy Multiple Time Scales coordinate control.
6. a kind of comprehensive energy Multiple Time Scales control method for coordinating as claimed in claim 5, it is characterised in that:ΔTeTake Value scope is 1s to 5s, Δ ThSpan be 1min to 5min, Δ TgSpan be 10s to 60s;Δ T value model Enclose for 5min to 30min.
CN201710495806.6A 2017-06-26 2017-06-26 A kind of comprehensive energy Multiple Time Scales coordinated control system and method Active CN107329444B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710495806.6A CN107329444B (en) 2017-06-26 2017-06-26 A kind of comprehensive energy Multiple Time Scales coordinated control system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710495806.6A CN107329444B (en) 2017-06-26 2017-06-26 A kind of comprehensive energy Multiple Time Scales coordinated control system and method

Publications (2)

Publication Number Publication Date
CN107329444A true CN107329444A (en) 2017-11-07
CN107329444B CN107329444B (en) 2019-09-20

Family

ID=60197142

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710495806.6A Active CN107329444B (en) 2017-06-26 2017-06-26 A kind of comprehensive energy Multiple Time Scales coordinated control system and method

Country Status (1)

Country Link
CN (1) CN107329444B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107994600A (en) * 2017-12-12 2018-05-04 荣信汇科电气技术有限责任公司 Rapid control method for flexible direct current transmission technology
CN109088442A (en) * 2018-10-29 2018-12-25 国网山东省电力公司日照供电公司 Micro- energy net Optimal Operation Model of a variety of energy storage is considered under Multiple Time Scales
CN110426590A (en) * 2019-07-15 2019-11-08 国电南瑞科技股份有限公司 A kind of multipotency information interactive device suitable for integrated energy system
CN110580659A (en) * 2018-06-08 2019-12-17 神华集团有限责任公司 Intelligent structure of energy system of nano network based on multi-dimensional heterogeneous data flow driving and control method thereof
CN110957807A (en) * 2019-10-09 2020-04-03 清华大学 System and method for managing and controlling energy information of power distribution network of distributed energy
CN111313410A (en) * 2020-03-05 2020-06-19 贵州电网有限责任公司 Equipment regulation and control device of comprehensive energy system
CN111948991A (en) * 2020-07-21 2020-11-17 浙江中新电力工程建设有限公司 Optimization control system and method based on comprehensive energy service system
CN112700077A (en) * 2020-08-20 2021-04-23 国家电网公司西北分部 Multi-energy collaborative planning optimization compilation system with feedback function
CN114594708A (en) * 2022-03-02 2022-06-07 国网山东省电力公司电力科学研究院 Multi-energy collaborative optimization energy control system and method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102738833A (en) * 2012-06-20 2012-10-17 湖北省电力公司 Multi-time-scale rolling coordination scheduling method for electric power system with wind power
CN102810186A (en) * 2012-08-01 2012-12-05 江苏省电力设计院 Multi-time scale microgrid energy optimizing management system structure and method
CN105676824A (en) * 2016-03-02 2016-06-15 山东大学 Optimized energy dispatching system and method for renewable-energy-source-based combined supply of cooling, heating and power
CN106022597A (en) * 2016-05-17 2016-10-12 西南交通大学 Photovoltaic intelligent community electric automobile and controllable load two-stage optimization scheduling method
CN106707778A (en) * 2016-12-06 2017-05-24 长沙理工大学 Model predictive control-based home integrated energy intelligent optimization and management system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102738833A (en) * 2012-06-20 2012-10-17 湖北省电力公司 Multi-time-scale rolling coordination scheduling method for electric power system with wind power
CN102810186A (en) * 2012-08-01 2012-12-05 江苏省电力设计院 Multi-time scale microgrid energy optimizing management system structure and method
CN105676824A (en) * 2016-03-02 2016-06-15 山东大学 Optimized energy dispatching system and method for renewable-energy-source-based combined supply of cooling, heating and power
CN106022597A (en) * 2016-05-17 2016-10-12 西南交通大学 Photovoltaic intelligent community electric automobile and controllable load two-stage optimization scheduling method
CN106707778A (en) * 2016-12-06 2017-05-24 长沙理工大学 Model predictive control-based home integrated energy intelligent optimization and management system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
黎静华等: "能源综合系统优化规划与运行框架", 《电力建设》 *

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107994600A (en) * 2017-12-12 2018-05-04 荣信汇科电气技术有限责任公司 Rapid control method for flexible direct current transmission technology
CN107994600B (en) * 2017-12-12 2020-08-28 荣信汇科电气技术有限责任公司 Rapid control method for flexible direct current transmission technology
CN110580659A (en) * 2018-06-08 2019-12-17 神华集团有限责任公司 Intelligent structure of energy system of nano network based on multi-dimensional heterogeneous data flow driving and control method thereof
CN110580659B (en) * 2018-06-08 2022-06-21 国家能源投资集团有限责任公司 Intelligent structure of energy system of nano network based on multi-dimensional heterogeneous data flow driving and control method thereof
CN109088442A (en) * 2018-10-29 2018-12-25 国网山东省电力公司日照供电公司 Micro- energy net Optimal Operation Model of a variety of energy storage is considered under Multiple Time Scales
CN109088442B (en) * 2018-10-29 2021-12-14 国网山东省电力公司日照供电公司 Micro energy network optimization scheduling model considering multiple energy storages under multiple time scales
CN110426590A (en) * 2019-07-15 2019-11-08 国电南瑞科技股份有限公司 A kind of multipotency information interactive device suitable for integrated energy system
CN110426590B (en) * 2019-07-15 2022-01-25 国电南瑞科技股份有限公司 Multi-energy information interaction device suitable for comprehensive energy system
CN110957807A (en) * 2019-10-09 2020-04-03 清华大学 System and method for managing and controlling energy information of power distribution network of distributed energy
CN111313410A (en) * 2020-03-05 2020-06-19 贵州电网有限责任公司 Equipment regulation and control device of comprehensive energy system
CN111948991A (en) * 2020-07-21 2020-11-17 浙江中新电力工程建设有限公司 Optimization control system and method based on comprehensive energy service system
CN112700077A (en) * 2020-08-20 2021-04-23 国家电网公司西北分部 Multi-energy collaborative planning optimization compilation system with feedback function
CN114594708A (en) * 2022-03-02 2022-06-07 国网山东省电力公司电力科学研究院 Multi-energy collaborative optimization energy control system and method

Also Published As

Publication number Publication date
CN107329444B (en) 2019-09-20

Similar Documents

Publication Publication Date Title
CN107329444B (en) A kind of comprehensive energy Multiple Time Scales coordinated control system and method
CN103050989B (en) A kind of cluster wind power plant active power intelligent control system and method
CN113077101A (en) Energy internet allocation management-oriented digital system and method
CN102185332B (en) Method for controlling exchanging power between microgrid and large power grid
CN107958300A (en) A kind of more microgrid interconnected operation coordinated scheduling optimization methods for considering interactive response
CN106786753B (en) The system and its adjusting method of the Regional Energy internet of multi-user
CN107612017B (en) Wind-electricity integration intelligent control system based on demand response and distributed energy storage
CN104571068A (en) Optimized operation control method and system of distributed energy system
CN105071410B (en) Power distribution network wattles power economic equivalent dispatching method and system based on virtual power plant
CN107332286A (en) A kind of cogeneration of heat and power containing heat accumulation and wind-powered electricity generation coordinated scheduling method
CN102842916B (en) For how wind farm grid-connected information collecting method
CN102508466A (en) System for metering and charging construction heat and carrying out energy-saving monitoring by Internet of Things
CN112799352A (en) Park wisdom energy thing networking topology
CN106524277B (en) Regional energy supply system of heat supply in winter of multipotency source form
CN108280554A (en) A kind of grid-connected consumption system of regenerative resource and method
CN103138293A (en) Optimal distribution method and system for heat-engine plant plant-level loads
CN109831025A (en) User terminal integrated energy system communication system modeling method based on extension CIM
CN208330637U (en) The micro- energy net system of intelligence based on fuse salt heat accumulation and compressed-air energy storage
CN107196348A (en) It is a kind of to consider the soft straight generation schedule preparation method a few days ago of multiterminal
Cao et al. Research on energy efficiency optimization of energy internet data center based on intelligent energy technology
CN106374535A (en) Control method for cogeneration power generation quantity of cogeneration unit
Pu et al. Design of intelligent micro network group intelligent operation and maintenance management platform based on cloud architecture
Yang et al. Technology research on adjustable load resource participating in power grid dispatching control
Lu et al. Research on Optimal Dispatching of Active Distribution Network Based on Source Network Load Situation
CN110198053A (en) It is a kind of to concentrate with the micro-capacitance sensor real-time voltage control method and system combined on the spot

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant