CN101813941B - 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 PDFInfo
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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
Technical field
The present invention relates to cold, heat and power triple supply system, especially about the energy management Optimal Scheduling of cold, heat and power triple supply system.
Background technology
Cold, heat and power triple supply system is a kind of system for building or the building distributed cooling of domain type, heat supply, three kinds of energy supplies of power supply, and system major equipment comprises genset, waste heat utilization equipment, the 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 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 user, distributed energy resource system becomes the important development direction of global power industry and energy industry, is one of important channel solving 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 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, operation optimized mathematical model Function generator, 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 interface channel by facility interface unit, the data information transfer central control unit of terminal device, utilize Optimized model Function generator, 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 costs and have certain effect, but the concentrated optimal control method that this invention proposes, only gather energy supply system terminal device information, but do not gather the information of load system, especially in load system about the information of energy requirement.Therefore, this optimal control method can only realize each terminal device running status optimum in energy supply subsystem, but cannot realize the Optimum Matching between energy network global scope self-energy production and need.This control method of seeking local optimum, the defect 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 traffic control process, maintain the related Automatic Optimal control technology problem of optimum balance state between Power supply and workload demand.
The object 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 are connected, it is characterized in that: it also comprises human-machine interface module, and with demand forecast module, marginal analysis module, constraint 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, store information or data from human-machine interface module, optimizing module, performance evaluation module, process interface module, and will be transferred to for information about process interface module, knowledge processing module, demand forecast module, marginal analysis module, constraint processing module, human-machine interface module;
Process interface module also interconnects with cold, heat and electricity triple supply subsystem, load subsystem respectively;
Constraint processing module upstream is also connected with demand forecast module and knowledge processing module, constraint processing module is according to Thermodynamic Law, and to three alliance subsystems and load subsystem I/O energy measuring, calculate by energy equilibrium, determine the equation of constraint of optimizing process; Demand forecast module, according to user's input information, load system empirical data and forecast model, is determined the energy requirement of energy network; Knowledge processing module is to processing from the data of data memory module record, for other functional modules;
Marginal analysis module, constraint processing module, performance evaluation module are connected with optimizing module respectively, information from marginal analysis module and constraint processing module first flows to optimizing module, solve according to Optimized model and the optimizing of optimizing rule, again by optimizing solving result input information performance evaluation module, calculate best efficiency model output, by data memory module, process interface module, make efficiency optimal dispatch control for cold, heat and electricity triple supply subsystem, load subsystem again.
Above-mentioned energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment, it also comprises 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 historical data that model maintenance module records taking data memory module is basis, use a model and debate knowledge technology, and by the experimental knowledge of knowledge processing module stores, forecast model, efficiency model and optimizing model are improved continuously.
Above-mentioned energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment, described human-machine interface module provides software/hardware platform for the information interaction between operator and the each functional module of Optimal Scheduling, comprise display screen and keyboard, mouse, display screen is real time data and the historical record that operator shows each functional module measured data, intermediate variable and result; Operator is by keyboard and the mouse of human-machine interface module, and guidance and the each functional module of control system complete its corresponding function.
The invention has the beneficial effects as follows:
Efficiency Optimal Scheduling of the present invention, by the prediction of load system energy requirement and relevant optimization are calculated, complete the Optimized Operation process of genset and air-conditioning unit equal energy source conversion equipment Energy output, realize the mobile equilibrium between combined supply system cool and thermal power supply and demand, not only ensure that 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.
Brief description of the drawings
Below in conjunction with the drawings and specific embodiments, the present invention is further described.
Fig. 1 is structure principle chart of the present invention.
In figure: 1. human-machine interface module, 2. marginal analysis module, 3. constraint 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 Optimal Scheduling of the present invention 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, constraint 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 hub of Optimal Scheduling, has bidirectional information and data to be connected with other each functional module.Data memory module 6 is data storage centers of Optimal Scheduling, also has bidirectional information and data to be connected with other each functional module, maintains data exchange channel fast with each functional module.Demand forecast module 5 and knowledge processing module 10 are data pretreatment units of constraint processing module 3, are arranged in the upstream of constraint processing module 3.Marginal analysis module 2, constraint processing module 3, optimizing module 4 and performance evaluation module 8 are corn module of Optimal Scheduling, and the pass that is linked in sequence representing by information flow direction is: (marginal analysis module 2+ retrains processing module 3) → optimizing module 4 → performance evaluation module 8.Process interface module 7 is interface channels of bi-directional exchanges of information between Optimal Scheduling and three alliance subsystems 12 and load subsystem 11.Model maintenance module 9 is supplementary modules of Optimal Scheduling.
The functional description of each software module is as follows:
Demand forecast module 5, according to user's input information, load system empirical data and forecast model, is determined the energy requirement of energy network.
Marginal analysis module 2, according to the Changing Pattern of combined supply system operating experience data, energy conversion device characteristics and energy charge, is determined the boundary condition that optimizing process is essential.
Constraint processing module 3 is according to relevant Thermodynamic Law, by 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 process.
Optimizing module 4 is according to Optimized model and optimizing rule, in the whole solution space that boundary condition and equation of constraint are constructed jointly, searches feasible solution.
The feasible solution that performance evaluation module 8 produces searching process, as input parameter, is calculated the output of efficiency model, then by the performance index of regulation, efficiency model is exported and is assessed, and determine according to assessment result whether searching process finishes.The feasible solution retaining when searching process finishes is exactly optimum solution, is the optimal scheduling data of energy conversion equipment.The efficiency model output that optimum solution is corresponding, is efficiency optimal value.
The historical data that model maintenance module 9 records taking data memory module 6, as basis, uses a model and debates knowledge technology, and the experimental knowledge of storing by knowledge processing module 10, and forecast model, efficiency model and optimizing model are improved continuously.
The historical data that knowledge processing module 10 records data memory module 6 is processed, find regular data characteristics and store as experimental knowledge, so that demand forecast module 5, marginal analysis module 2, constraint processing module 3, performance evaluation module 8 and model maintenance module 9 are used.
Data memory module 6 records the detection data from process interface module 7, comprises thermal parameter and electric parameter.Real-time detector data and historical data are the data sources of Optimal Scheduling.Data memory module 6 also records intermediate data and the result of optimizing module 4 and performance evaluation module 8; Intermediate data record optimization process; Result is recorded in data memory module 6 as the Optimized Operation data of combined supply system.
Human-machine interface module 1 is by display screen and keyboard, mouse, for the information interaction between operator and the each functional module of Optimal Scheduling provides software/hardware platform.
Process interface module 7 is the bidirectional data paths between Optimal Scheduling and controlled process.Optimal Scheduling obtains the real time data of combined supply system operational factor and cool and thermal power load by this interface; Optimized Operation data are to be also downloaded to 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 collected user's input information that human-machine interface module 1 obtains, load system historical data that retrieve data memory module 6 records, is searched the load system experimental knowledge that knowledge processing module 10 is preserved, and taking these data messages and experimental knowledge as input, by the energy requirement of forecast model calculative determination energy network.
(2) the combined supply system historical data that marginal analysis module 2 retrieve data memory modules 6 record, 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 process.
(3) constraint processing module 3 is accepted the selected thermodynamic equilibrium formula of operating personnel by human-machine interface module 1, the combined supply system that invoked procedure interface module 7 obtains and load system I/O energy measuring data, obtain the applicable equation of constraint of this optimizing process by hot merit EQUILIBRIUM CALCULATION FOR PROCESS.
(4) optimizing module 4 is according to Optimized model and optimizing rule, in the whole solution space that boundary condition and equation of constraint are constructed jointly, searches feasible solution.
(5) feasible solution that performance evaluation module 8 produces searching process, as input, is calculated the output of efficiency model, then by the selected performance index of operator, efficiency model is exported and is evaluated, and determine according to evaluation result whether searching process finishes.If Evaluation results does not reach set quota requirement, turn back to (4) step and continue optimizing; Otherwise, finish searching process; The Rule of judgment that optimizing finishes also comprises unexpected termination.When searching process normal termination, the feasible solution that data memory module 6 is preserved is exactly optimum solution, is also the optimal scheduling data of energy conversion equipment.The efficiency model output that optimum solution is corresponding, is efficiency optimal value, and calculates lowest energy consumption value.
(6) model maintenance module 9, under operator instructs, adopts model to debate knowledge technology, 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 model are improved continuously.
(7) knowledge processing module 10 is accepted operator by human-machine interface module 1 and is instructed, find and analyze the rule and characteristic of data memory module 6 historical datas, be labeled as experimental knowledge and offer demand forecast module 5, marginal analysis module 2, constraint processing module 3, performance evaluation module 8 and model maintenance module 9 and use.
(8) data memory module 6 is distributed and is recorded thermal technology and the electric measurement parameter from process interface module 7, for Optimal Scheduling provides data source.
(9) display screen of human-machine interface module 1 is real time data and the historical record of the each functional module measured data of operator's display optimization dispatching system, intermediate variable and result.Operator is by keyboard and the mouse of human-machine interface module 1, and guidance and the each functional module of operational optimization dispatching system complete its corresponding function.
(10) process interface module 7 gathers the measurement parameter of combined supply system and load system, and timesharing download Optimized Operation data are to the control module of combined supply system energy conversion equipment, finally complete combined supply system efficiency Optimized Operation process.
Efficiency Optimal Scheduling shown in the present, be applied to the distributed energy network taking combined supply system as representative, on to energy requirement correct Prediction basis, by the Optimized Operation to genset and air-conditioning unit equal energy source conversion equipment Energy output, realize the mobile equilibrium between combined supply system cool and thermal power Power supply and workload demand, not only ensure that load system energy requirement is met, and effectively avoid combined supply system energy dissipation, improve efficiency of energy utilization, reach effects of energy saving and emission reduction.
This Optimal Scheduling also, by corresponding model maintenance functional module, maintains good model accuracy, stablizes the practical application effect of this Optimal Scheduling in combined supply system.
Only for the present invention is described, unrestricted technical scheme described in the invention is not limited to above form to above embodiment, the replacement that can also the present invention be modified or is equal to; All do not depart from technical scheme and the improvement thereof of the spirit and scope of the present invention, all will fall into protection scope of the present invention.
Claims (3)
1. an energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment, it is connected 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), constraint 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, store information or data from human-machine interface module (1), optimizing module (4), performance evaluation module (8), process interface module (7), and will be transferred to for information about process interface module (7), knowledge processing module (10), demand forecast module (5), marginal analysis module (2), constraint processing module (3), human-machine interface module (1);
Process interface module (7) also interconnects with cold, heat and electricity triple supply subsystem (12), load subsystem (11) respectively;
Constraint processing module (3) upstream is also connected with demand forecast module (5) and knowledge processing module (10), constraint processing module (3) is according to Thermodynamic Law, 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 process; Demand forecast module (5), according to user's input information, load system empirical data and forecast model, is determined the energy requirement of energy network; Knowledge processing module (10) is to processing from the data of data memory module (6) record, for other functional modules;
Marginal analysis module (2), constraint processing module (3), performance evaluation module (8) is connected with optimizing module (4) respectively, information from marginal analysis module (2) and constraint processing module (3) first flows to optimizing module (4), solve according to Optimized model and the optimizing of optimizing rule, again by optimizing solving result input information performance evaluation module (8), calculate best efficiency model output, again by data memory module (6), process interface module (7), for cold, heat and electricity triple supply subsystem (12), load subsystem (11) is used as efficiency optimal dispatch control.
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), the historical data that model maintenance module (9) records taking data memory module (6) is basis, use a model and debate knowledge technology, and the experimental knowledge of storing by knowledge processing module (10), to forecast model, efficiency model and optimizing 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 software/hardware platform for the information interaction between operator and the each functional module of Optimal Scheduling, comprise display screen and keyboard, mouse, display screen is real time data and the historical record that operator shows each functional module measured data, intermediate variable and result; Operator is by keyboard and the mouse of human-machine interface module (1), and guidance and the each functional module of control system complete its corresponding function.
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| CN102073272B (en) * | 2011-02-24 | 2013-05-15 | 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 |
| CN102393629B (en) * | 2011-09-19 | 2013-06-26 | 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 |
| 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 |
| 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 |
| CN103439941B (en) * | 2013-08-23 | 2016-02-10 | 贵州电网公司电网规划研究中心 | A kind of gas internal-combustion engine cold, heat and power triple supply system optimizing operation method |
| JP5858080B2 (en) * | 2013-08-23 | 2016-02-10 | 横河電機株式会社 | Operation planning method and operation planning system |
| AU2014409485A1 (en) * | 2014-10-21 | 2017-05-11 | Accenture Global Services Limited | System, method, and apparatus for capacity determination for micro grid, and tangible computer readable medium |
| 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 |
| CN105759760B (en) * | 2016-03-25 | 2019-03-26 | 上海工业自动化仪表研究院 | Trilogy supply consumption produces dynamic state of parameters acquisition display and online evaluation 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 |
| 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 |
| CN109711614B (en) * | 2018-12-24 | 2021-05-28 | 新奥数能科技有限公司 | Dynamic optimization operation control method and system for distributed energy station |
| 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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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP4089187B2 (en) * | 2001-08-31 | 2008-05-28 | 株式会社日立製作所 | Thermoelectric supply system |
| JP3763767B2 (en) * | 2001-10-02 | 2006-04-05 | 株式会社東芝 | Operation planning system for energy supply equipment |
| CN1279322C (en) * | 2004-10-28 | 2006-10-11 | 上海交通大学 | Household cold, heat and power triple supply system adopting vapor compression type electrothermal pump |
| CN1321295C (en) * | 2005-12-01 | 2007-06-13 | 贵州华城楼宇科技有限公司 | Cold-hot electric combined integrated energy-saving intelligent control device |
| CN100422886C (en) * | 2006-11-03 | 2008-10-01 | 冯江华 | Central optimum control method for cold, heat and electricity three-way energy supply system |
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