CN101813941A - Energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment - Google Patents

Energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment Download PDF

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CN101813941A
CN101813941A CN201010147996A CN201010147996A CN101813941A CN 101813941 A CN101813941 A CN 101813941A CN 201010147996 A CN201010147996 A CN 201010147996A CN 201010147996 A CN201010147996 A CN 201010147996A CN 101813941 A CN101813941 A CN 101813941A
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CN101813941B (en
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江兵
郭振市
左臻
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Shanghai MicroPowers Co Ltd
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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
    • Y02P80/15On-site combined power, heat or cool generation or distribution, e.g. combined heat and power [CHP] supply
    • 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]

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Abstract

The invention discloses an energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment. A process interface module is connected with a cold, heat and electricity triple supply subsystem and a load subsystem. The system comprises a demand forecasting module, a boundary analysis module, a constraint processing module, an optimizing module, a performance evaluation module, a knowledge processing module, a data storage module and the process interface module which are interconnected with a man-machine interface module. Through energy demand forecasting and related optimized calculation on the load system, the system finishes optimization and dispatch of energy yield of energy conversion equipment, can realize dynamic balance between the cold, heat and electricity supply and the demand, and fulfills the purposes of improving the utilization efficiency of energy, saving energy and reducing emission.

Description

A kind of energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment
Technical field
The present invention relates to cold, heat and power triple supply system, especially about the energy management Optimization Dispatching system of cold, heat and power triple supply system.
Background technology
Cold, heat and power triple supply system is a kind of system that is used for building or the building distributed cooling of domain type, heat supply, three kinds of energy supplies of power supply, and system's major equipment comprises genset, UTILIZATION OF VESIDUAL HEAT IN equipment, equipment such as freezes, heats.It adopts small-scale, low capacity, modularization, distributed mode to be arranged in user side, provide hot and cold, electric energy to the user, cold, heat and power triple supply system can improve comprehensive utilization of energy rate and Supply Security, realize energy-on-demand and provide more more options for the user, distributed energy resource system becomes the important development direction of global power industry and energy industry, is one of important channel that solves global energy problem in short supply.
Notification number is the concentrated optimal control method that the Chinese invention patent of CN1945472A discloses a kind of cold, heat and electricity three-way energy supply system, and it is in terminal device control module memory device different pieces of information information; Set up the interface routine general channels by facility interface unit, device data information and central control unit are connected and real-time communication, central control unit is according to the selection result of device data information and constraint condition distinguishing selector switch, the mathematical model Function generator is optimized in operation, and according to this operation result output control signal, the operational factor of the running status of control terminal or the equipment of adjustment.The technical scheme of this Invention Announce, set up the interface channel by facility interface unit, the data information transfer central control unit of terminal device, utilize the Optimization Model Function generator, the solving-optimizing objective function, central control unit is according to the running status of the operation result centralized control terminal device of optimization aim function, to optimal control, energy-conservation, reduce cost and have certain effect, but should invent the concentrated optimal control method that proposes, only gather energy supply system terminal device information, but do not gather the information of relevant energy requirement in information, the especially load system of load system.Therefore, this optimal control method can only realize each terminal device running status optimum in the energy supply subsystem, but can't realize the Optimum Matching between production of energy network global scope self-energy and the demand.This control method of seeking local optimum, the defective that not only implicit load subsystem energy requirement is not being met also may cause the energy supply demand that overloads, and then cause energy dissipation and the low serious consequence of efficiency.
Summary of the invention
The object of the present invention is to provide a kind of energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment, solve cold, heat and power triple supply system in the traffic control process, keep the related Automatic Optimal control technology problem of optimum balance state between energy supply and the workload demand.
The objective of the invention is to solve by following technical scheme:
A kind of energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment, itself and cold, heat and electricity triple supply subsystem, load subsystem link, it is characterized in that: it also comprises human-machine interface module, and with demand forecast module, marginal analysis module, Constraints Processing module, optimizing module, performance evaluation module, knowledge processing module, data memory module, the process interface module of human-machine interface module interconnection;
Data memory module is connected with above-mentioned each functional module, storage is from the information or the data of human-machine interface module, optimizing module, performance evaluation module, process interface module, and will be transferred to process interface module, knowledge processing module, demand forecast module, marginal analysis module, Constraints Processing module, human-machine interface module for information about;
Process interface module also interconnects with cold, heat and electricity triple supply subsystem, load subsystem respectively;
Constraints Processing module upstream also is connected with demand forecast module and knowledge processing module, the Constraints Processing module is according to the thermodynamics rule, and to three alliance subsystems and load subsystem I/O energy measuring, calculate by energy equilibrium, determine the equation of constraint of optimizing computation process; The demand forecast module is determined the energy requirement of energy network according to user's input information, load system empirical data and forecast model; The knowledge processing module is used for other functional modules handling from the data of data memory module record;
Marginal analysis module, Constraints Processing module, performance evaluation module link to each other with the optimizing module respectively, information from marginal analysis module and constraint processing module flows to the optimizing module earlier, find the solution according to Optimization Model and the optimizing of optimizing computation rule, again with optimizing solving result information input performance evaluation module, the output of calculating optimum efficiency model, by data memory module, process interface module, do the control of efficiency Optimization Dispatching for cold, heat and electricity triple supply subsystem, load subsystem and use again.
Above-mentioned energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment, it also comprises the model maintenance module, its upstream is connected with data processing module, knowledge processing module, human-machine interface module, model maintenance module downstream is connected with demand forecast module, performance evaluation module, optimizing module and human-machine interface module, the model maintenance module is based on the historical data of data memory module record, use a model and debate the knowledge technology, and, forecast model, efficiency model and optimizing computation model are improved continuously by the experimental knowledge of knowledge processing module stores.
Above-mentioned energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment, described human-machine interface module provides the software/hardware platform for the information interaction between operator and each functional module of Optimization Dispatching system, comprise display screen and keyboard, mouse, display screen shows the real time data and the historical record of each functional module measured data, intermediate variable and result for the operator; The operator is by the keyboard and the mouse of human-machine interface module, and guidance and each functional module of control system are finished its corresponding function.
The invention has the beneficial effects as follows:
Efficiency Optimization Dispatching of the present invention system, by the load system energy requirement is predicted and relevant computation optimization, finish the Optimization Dispatching process of genset and air-conditioning unit equal energy source conversion equipment energy output, realize the mobile equilibrium between the combined supply system cool and thermal power supply and demand, guaranteed that not only the load system energy requirement is met, and effectively avoid energy dissipation, and improve efficiency of energy utilization, reach effects of energy saving and emission reduction.
Description of drawings
The present invention is further described below in conjunction with the drawings and specific embodiments.
Fig. 1 is a structure principle chart of the present invention.
Among the figure: 1. human-machine interface module, 2. marginal analysis module, 3. Constraints Processing module, 4. optimizing module, 5. demand forecast module, 6. data memory module, 7. process interface module, 8. performance evaluation module, 9. model maintenance module, 10. knowledge processing module, 11. load subsystems, 12. 3 alliance subsystems.
Embodiment
As shown in Figure 1, cold, heat and power triple supply system efficiency Optimization Dispatching of the present invention system is connected with load subsystem 11 with three alliance subsystems 12 respectively by process control module, and its functional module comprises: human-machine interface module 1, demand forecast module 5, marginal analysis module 2, Constraints Processing module 3, optimizing module 4, performance evaluation module 8, model maintenance module 9, knowledge processing module 10, data memory module 6, process interface module 7.
Annexation between each module is as follows:
Human-machine interface module 1 is the information hinge of Optimization Dispatching system, all has bidirectional information to be connected with data with other each functional module.Data memory module 6 is data storage centers of Optimization Dispatching system, also all has bidirectional information to be connected with data with other each functional module, keeps the fast data interchange channel with each functional module.Demand forecast module 5 and knowledge processing module 10 are data pretreatment units of Constraints Processing module 3, are arranged in the upstream of Constraints Processing module 3.Marginal analysis module 2, Constraints Processing module 3, optimizing module 4 and performance evaluation module 8 are corn module of Optimization Dispatching system, and the pass of representing by information flow direction that is linked in sequence is: (marginal analysis module 2+ Constraints Processing module 3) → optimizing module 4 → performance evaluation module 8.Process interface module 7 is interface channels of bi-directional exchanges of information between Optimization Dispatching system and three alliance subsystems 12 and the load subsystem 11.Model maintenance module 9 is supplementary modules of Optimization Dispatching system.
The functional description of each software module is as follows:
Demand forecast module 5 is determined the energy requirement of energy network according to user's input information, load system empirical data and forecast model.
Marginal analysis module 2 is determined the boundary condition that optimizing computation process is essential according to the Changing Pattern of combined supply system operating experience data, energy conversion device characteristics and energy charge.
Constraints Processing module 3 is according to relevant thermodynamics rule, by to combined supply system and load system I/O energy measuring, and the EQUILIBRIUM CALCULATION FOR PROCESS of heat production and acting quantity, obtains the equation of constraint of optimizing computation process.
Optimizing module 4 is according to Optimization Model and optimizing computation rule, searches feasible solution in the whole solution space that boundary condition and equation of constraint are constructed jointly.
The feasible solution that performance evaluation module 8 produces searching process is calculated the output of efficiency model as input parameter, then with the performance index of regulation to the efficiency model output assess, and determine according to assessment result whether searching process finishes.The feasible solution that keeps when searching process finishes is exactly an optimum solution, is the optimal scheduling data of energy conversion equipment.The efficiency model output of optimum solution correspondence is the efficiency optimal value.
Model maintenance module 9 uses a model and debates the knowledge technology based on the historical data of data memory module 6 records, and by the experimental knowledge that knowledge processing module 10 is stored, forecast model, efficiency model and optimizing computation model is improved continuously.
The historical data of 10 pairs of data memory modules of knowledge processing module, 6 records is handled, seek regular data characteristics and store, so that demand forecast module 5, marginal analysis module 2, Constraints Processing module 3, performance evaluation module 8 and model maintenance module 9 are used as experimental knowledge.
Data memory module 6 records comprise thermal parameter and electric parameter from the detection data of process interface module 7.Detecting data and historical data in real time is the data source of Optimization Dispatching system.Data memory module 6 also writes down the intermediate data and the result of optimizing module 4 and performance evaluation module 8; Intermediate data record optimization process; Result is recorded in the data memory module 6 as the Optimization Dispatching data of combined supply system.
Human-machine interface module 1 is by display screen and keyboard, mouse, for the information interaction between operator and each functional module of Optimization Dispatching system provides the software/hardware platform.
Process interface module 7 is the bidirectional data paths between Optimization Dispatching system and the controlled process.The Optimization Dispatching system obtains the real time data of combined supply system operational factor and cool and thermal power load by this interface; The Optimization Dispatching data also are to be downloaded to the combined supply system device control cell by this interface timesharing.
Principle of work of the present invention is as follows:
(1) demand forecast module 5 is compiled the user's input information of human-machine interface module 1 acquisition, the load system historical data of retrieve data memory module 6 records, the load system experimental knowledge that search knowledge processing module 10 is preserved, and be input with these data messages and experimental knowledge, calculate the energy requirement of determining energy network by forecast model.
The combined supply system historical data of (2) marginal analysis module 2 retrieve data memory modules 6 records, analyze the Changing Pattern of energy conversion device characteristics and energy charge, accept operating personnel by human-machine interface module 1 and instruct, comprehensively determine the essential boundary condition of optimizing computation process.
(3) Constraints Processing module 3 is accepted the thermodynamic equilibrium formula that operating personnel select by human-machine interface module 1, combined supply system that invoked procedure interface module 7 obtains and load system I/O energy measuring data obtain the equation of constraint that this optimizing computation process is suitable for by the hot merit EQUILIBRIUM CALCULATION FOR PROCESS.
(4) optimizing module 4 is according to Optimization Model and optimizing computation rule, searches feasible solution in the whole solution space that boundary condition and equation of constraint are constructed jointly.
Whether (5) performance evaluation module 8 as input, is calculated the output of efficiency model with the feasible solution of searching process generation, and the performance index of selecting with the operator are exported the efficiency model and estimated then, and finish according to evaluation result decision searching process.If performance evaluation result does not reach the set quota requirement, then turn back to the continuation optimizing of (4) step; Otherwise, finish searching process; The Rule of judgment that optimizing finishes also comprises unexpected the termination.During the searching process normal termination, the feasible solution that data memory module 6 is preserved is exactly an optimum solution, also is the optimal scheduling data of energy conversion equipment.The efficiency model output of optimum solution correspondence is the efficiency optimal value, and calculates the lowest energy consumption value.
(6) model maintenance module 9 adopts model to debate the knowledge technology under the operator instructs, and utilizes the historical data of data memory module 6 and the experimental knowledge of knowledge processing module 10, and forecast model, efficiency model and optimizing computation model are improved continuously.
(7) knowledge processing module 10 is accepted the operator by human-machine interface module 1 and is instructed, seek and analyze the rule and the feature of data memory module 6 historical datas, be labeled as experimental knowledge and offer demand forecast module 5, marginal analysis module 2, Constraints Processing module 3, performance evaluation module 8 and 9 uses of model maintenance module.
(8) data memory module 6 distributions and record are from the thermal technology and the electric measurement parameter of process interface module 7, and system provides data source for Optimization Dispatching.
(9) display screen of human-machine interface module 1 is the real time data and the historical record of each functional module measured data of operator's display optimization dispatching system, intermediate variable and result.The operator instructs and handles each functional module of Optimization Dispatching system and finish its corresponding function by the keyboard and the mouse of human-machine interface module 1.
(10) process interface module 7 is gathered the measurement parameter of combined supply system and load system, and timesharing download Optimization Dispatching data are finally finished combined supply system efficiency Optimization Dispatching process to the control module of combined supply system energy conversion equipment.
Efficiency Optimization Dispatching shown in the present system, being applied to the combined supply system is the distributed energy network of representative, on correct fundamentals of forecasting to energy requirement, by Optimization Dispatching to genset and air-conditioning unit equal energy source conversion equipment energy output, realized the mobile equilibrium between supply of combined supply system cool and thermal power energy and the workload demand, guaranteed that not only the load system energy requirement is met, and effectively avoid the combined supply system energy dissipation, improve efficiency of energy utilization, reach effects of energy saving and emission reduction.
This Optimization Dispatching system keeps good model accuracy also by corresponding model maintenance functional module, stablizes this practical application effect of Optimization Dispatching system in combined supply system.
Above embodiment only is used to the present invention is described and unrestricted technical scheme described in the invention is not limited to above form, the replacement that can also make amendment or be equal to the present invention; Technical scheme and improvement thereof that all do not break away from the spirit and scope of the present invention all will fall into protection scope of the present invention.

Claims (3)

1. energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment, it links to each other with cold, heat and electricity triple supply subsystem (12), load subsystem (11), it is characterized in that: it also comprises human-machine interface module (1), and with demand forecast module (5), marginal analysis module (2), Constraints Processing module (3), optimizing module (4), performance evaluation module (8), knowledge processing module (10), data memory module (6), the process interface module (7) of human-machine interface module (1) interconnection;
Data memory module (6) is connected with above-mentioned each functional module, storage is from the information or the data of human-machine interface module (1), optimizing module (4), performance evaluation module (8), process interface module (7), and will be transferred to process interface module (7), knowledge processing module (10), demand forecast module (5), marginal analysis module (2), Constraints Processing module (3), human-machine interface module (1) for information about;
Process interface module (7) also interconnects with cold, heat and electricity triple supply subsystem (12), load subsystem (11) respectively;
Constraints Processing module (3) upstream also is connected with demand forecast module (5) and knowledge processing module (10), Constraints Processing module (3) is according to the thermodynamics rule, and three alliance subsystems (12) and load subsystem (11) I/O energy are detected, calculate by energy equilibrium, determine the equation of constraint of optimizing computation process; Demand forecast module (5) is determined the energy requirement of energy network according to user's input information, load system empirical data and forecast model; Knowledge processing module (10) is used for other functional modules handling from the data of data memory module (6) record;
Marginal analysis module (2), Constraints Processing module (3), performance evaluation module (8) link to each other with optimizing module (4) respectively, information from marginal analysis module (2) and constraint processing module (3) flows to optimizing module (4) earlier, find the solution according to Optimization Model and the optimizing of optimizing computation rule, again with optimizing solving result information input performance evaluation module (8), the output of calculating optimum efficiency model, by data memory module (6), process interface module (7), do the control of efficiency Optimization Dispatching for cold, heat and electricity triple supply subsystem (12), load subsystem (11) and use again.
2. energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment according to claim 1, it is characterized in that: it also comprises model maintenance module (9), its upstream is connected with data processing module, knowledge processing module (10), human-machine interface module (1), model maintenance module (9) downstream is connected with demand forecast module (5), performance evaluation module (8), optimizing module (4) and human-machine interface module (1), model maintenance module (9) is based on the historical data of data memory module (6) record, use a model and debate the knowledge technology, and by the experimental knowledge of knowledge processing module (10) storage, to forecast model, efficiency model and optimizing computation model improve continuously.
3. energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment according to claim 1 and 2, it is characterized in that: described human-machine interface module (1) provides the software/hardware platform for the information interaction between operator and each functional module of Optimization Dispatching system, comprise display screen and keyboard, mouse, display screen shows the real time data and the historical record of each functional module measured data, intermediate variable and result for the operator; The operator instructs and handles each functional module of system and finish its corresponding function by the keyboard and the mouse of human-machine interface module (1).
CN201010147996.0A 2010-04-15 2010-04-15 Energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment Expired - Fee Related CN101813941B (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102073272A (en) * 2011-02-24 2011-05-25 北京恩耐特分布能源技术有限公司 System and method for optimizing overall planning of distributed energy
CN102393690A (en) * 2011-09-27 2012-03-28 浙江工业大学 Combined cooling heating and power distributed control system based on internet of things
CN102393629A (en) * 2011-09-19 2012-03-28 华北电力大学(保定) Energy-saving optimization method for redundant building combined cooling heat and power (CCHP) system
CN102968111A (en) * 2012-12-14 2013-03-13 新奥科技发展有限公司 Method and system for controlling distributive energy system
CN103246263A (en) * 2013-04-22 2013-08-14 天津大学 General optimized dispatching strategy for combined supply of cooling, heating and power microgrid system
CN103439941A (en) * 2013-08-23 2013-12-11 贵州电网公司电网规划研究中心 Optimizing operation method of combined cooling heating and power system of gas engine
CN104424512A (en) * 2013-08-23 2015-03-18 横河电机株式会社 Operation plan decision method and operation plan decision system
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
CN105759760A (en) * 2016-03-25 2016-07-13 上海工业自动化仪表研究院 Combined cooling, heating and power system consumption-production parameter dynamic acquisition display and online evaluating system
CN106547945A (en) * 2016-09-30 2017-03-29 国网上海市电力公司 A kind of energy efficiency test method for being applied to trilogy supply region energy supplying system
CN107077704A (en) * 2014-10-21 2017-08-18 埃森哲环球服务有限公司 System, method and device and tangible computer computer-readable recording medium for the capacity determination for micro-capacitance sensor
CN107132806A (en) * 2017-05-19 2017-09-05 能拓电力股份有限公司 A kind of control method of cold, heat and power triple supply system
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CN108469132A (en) * 2018-03-06 2018-08-31 华电电力科学研究院有限公司 A kind of distributed energy resource system and control method based on Demand-side energy supply
CN109711614A (en) * 2018-12-24 2019-05-03 新奥数能科技有限公司 A kind of the dynamic optimization progress control method and system of distributed busbar protection
CN110059853A (en) * 2019-03-11 2019-07-26 上海电气分布式能源科技有限公司 The configuration method of equipment in a kind of cold, heat and power triple supply system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003074374A (en) * 2001-08-31 2003-03-12 Hitachi Ltd Cogeneration system
JP2003113739A (en) * 2001-10-02 2003-04-18 Toshiba Corp Operation planning system for energy supply equipment
CN1603722A (en) * 2004-10-28 2005-04-06 上海交通大学 Household cold, heat and power triple supply system adopting vapor compression type electrothermal pump
CN1776312A (en) * 2005-12-01 2006-05-24 贵州华城楼宇科技有限公司 Cold-hot electric combined integrated energy-saving intelligent control device
CN1945472A (en) * 2006-11-03 2007-04-11 冯江华 Central optimum control method for cold, heat and electricity three-way energy supply system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003074374A (en) * 2001-08-31 2003-03-12 Hitachi Ltd Cogeneration system
JP2003113739A (en) * 2001-10-02 2003-04-18 Toshiba Corp Operation planning system for energy supply equipment
CN1603722A (en) * 2004-10-28 2005-04-06 上海交通大学 Household cold, heat and power triple supply system adopting vapor compression type electrothermal pump
CN1776312A (en) * 2005-12-01 2006-05-24 贵州华城楼宇科技有限公司 Cold-hot electric combined integrated energy-saving intelligent control device
CN1945472A (en) * 2006-11-03 2007-04-11 冯江华 Central optimum control method for cold, heat and electricity three-way energy supply system

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102073272A (en) * 2011-02-24 2011-05-25 北京恩耐特分布能源技术有限公司 System and method for optimizing overall planning of distributed energy
CN102393629A (en) * 2011-09-19 2012-03-28 华北电力大学(保定) Energy-saving optimization method for redundant building combined cooling heat and power (CCHP) system
CN102393690B (en) * 2011-09-27 2013-06-05 浙江工业大学 Combined cooling heating and power distributed control system based on internet of things
CN102393690A (en) * 2011-09-27 2012-03-28 浙江工业大学 Combined cooling heating and power distributed control system based on internet of things
CN102968111B (en) * 2012-12-14 2015-09-02 廊坊新奥节能服务有限公司 Control the method and system of distributed energy resource system
CN102968111A (en) * 2012-12-14 2013-03-13 新奥科技发展有限公司 Method and system for controlling distributive energy system
CN103246263A (en) * 2013-04-22 2013-08-14 天津大学 General optimized dispatching strategy for combined supply of cooling, heating and power microgrid system
CN103246263B (en) * 2013-04-22 2015-04-15 天津大学 General optimized dispatching strategy for combined supply of cooling, heating and power microgrid system
CN103439941A (en) * 2013-08-23 2013-12-11 贵州电网公司电网规划研究中心 Optimizing operation method of combined cooling heating and power system of gas engine
CN104424512A (en) * 2013-08-23 2015-03-18 横河电机株式会社 Operation plan decision method and operation plan decision system
US10007878B2 (en) 2013-08-23 2018-06-26 Yokogawa Electric Corporation Operation plan decision method and operation plan decision system
CN107077704A (en) * 2014-10-21 2017-08-18 埃森哲环球服务有限公司 System, method and device and tangible computer computer-readable recording medium for the capacity determination for micro-capacitance sensor
CN105676824B (en) * 2016-03-02 2018-05-01 山东大学 A kind of energy-optimised scheduling System and method for of regenerative resource supply of cooling, heating and electrical powers
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
CN105759760A (en) * 2016-03-25 2016-07-13 上海工业自动化仪表研究院 Combined cooling, heating and power system consumption-production parameter dynamic acquisition display and online evaluating system
CN106547945A (en) * 2016-09-30 2017-03-29 国网上海市电力公司 A kind of energy efficiency test method for being applied to trilogy supply region energy supplying system
CN106547945B (en) * 2016-09-30 2019-12-31 国网上海市电力公司 Energy efficiency testing method applied to triple-generation regional energy supply system
CN107203129A (en) * 2017-05-16 2017-09-26 上海虹桥商务区能源服务有限公司 Region trilogy supply increment optimal control method
CN107203129B (en) * 2017-05-16 2020-05-05 上海虹桥商务区能源服务有限公司 Regional triple co-generation increment optimization control method
CN107132806A (en) * 2017-05-19 2017-09-05 能拓电力股份有限公司 A kind of control method of cold, heat and power triple supply system
CN108469132A (en) * 2018-03-06 2018-08-31 华电电力科学研究院有限公司 A kind of distributed energy resource system and control method based on Demand-side energy supply
CN109711614A (en) * 2018-12-24 2019-05-03 新奥数能科技有限公司 A kind of the dynamic optimization progress control method and system of distributed busbar protection
CN110059853A (en) * 2019-03-11 2019-07-26 上海电气分布式能源科技有限公司 The configuration method of equipment in a kind of cold, heat and power triple supply system
CN110059853B (en) * 2019-03-11 2023-09-05 上海电气分布式能源科技有限公司 Configuration method of equipment in combined cooling heating and power system

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