CN104950720B - The energy supplying system for being combined demand response and comfort level feedback based on weather forecast - Google Patents
The energy supplying system for being combined demand response and comfort level feedback based on weather forecast Download PDFInfo
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- CN104950720B CN104950720B CN201510334635.XA CN201510334635A CN104950720B CN 104950720 B CN104950720 B CN 104950720B CN 201510334635 A CN201510334635 A CN 201510334635A CN 104950720 B CN104950720 B CN 104950720B
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
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Abstract
The invention discloses a kind of energy supplying systems for being combined demand response control and comfort level feedback based on weather forecast, demand response control module is adjusted the electricity consumption behavior of user first, load prediction system passes through weather bureau's meteorological data, historical load information, it energizes architecture information and demand response controlling behavior carries out load prediction, obtain the cool and thermal power energy demand of user, then energy management center is according to user's energy demand, formulate the optimal operation reserve of distributing-supplying-energy system, if system energizes and users'comfort has deviation, itself can be fed back to energy management center by user by user terminal monitoring modular with energy update information, energy management center is again modified the operation reserve of demand response control module and distributing-supplying-energy system.The system can realize to building or region intelligent energy supply and achieve energy-saving and emission reduction purposes, be develop smart city, low carbon city a kind of important technical.
Description
Technical field
The present invention relates to new energy developments and HVAC field, more particularly to one kind by demand response and to be relaxed based on weather forecast
The intelligent energy supply system that appropriateness feedback combines.
Background technology
The trend of global warming in recent years is apparent, and Melting Glacierss, sea level rise, the deterioration of the ecological environment, various nature calamities
Evil is frequent, and each development division door of society is faced with severe tests, and it is total to realize that the coordinated development of the energy, environment and economy has become the mankind
With the target pursued.China is《United Nations Framework Convention on Climate Change》With《Tokyo protocol》Contracting party.Carbon emission reduction task
It is huge, while China is again developing country, is energy-consuming big country, energy-consuming accounts for about the 11% of the world, leapt to the world
Second, however China's standard coal output efficiency per ton just corresponds to the 10.3%, the 16.8% of European Union of Japan, the U.S.
28.6%, energy waste is serious, utilization ratio is low.Therefore, energy and environment problem is the biggest problem that China currently faces.
In fact Global climate change is not only energy and environmental problem, while also bringing energy security problem.20
After the outburst of the century 70 first oil crisis, western developed country proposes the concept of energy security.With Iranian revolution, wave
Massive blackout caused by this gulf war, California, USA power events, the former Soviet Union and Japanese nuclear leakage accident and Chinese severe snow
Etc. events generation successively, energy security increasingly paid attention to by various countries.Demand of the China to the energy is since the nineties
It increases sharply, and is changed into importer from oil exporting country from 1993.Because domestic to energy demand continuous enlargement, allow China by
Foreign oil import is gradually relied on, relative to 90 day strategic reserves of the industrial country on Oil Projects, China only has more than 20 days
Prepare.Energy resource structure is particularly thorny, excessive dependence traditional fossil energy, and there are hidden danger etc. for energy transport, these are all us
State will solve the problems, such as the severe challenge that energy security is faced.
Distributing-supplying-energy system be it is a kind of utilizing clean energy resource, while providing the energy-provision way of cold and hot electric load.Both at home and abroad
Scholar has done some researchs to distributed system, and Chinese Wang Jiangjiang is by taking Beijing as an example, with photovoltaic, gas electricity generator, combustion
Gas boiler, solar thermal collector, recuperation of heat and storage device, electricity refrigeration and absorption refrigeration construct the cold of a set of multipotency mixing
Heat and power system[1]；China Wu Qiong by taking Japan as an example, construct the system that a set of CCHP is combined with donkey boiler, with economy,
Environmental and primary energy economic ratio is target, has been carried out pair to four kinds of different kinds of building in five typical weather cities of Japan
Than research[2]；The Pierluigi Mancarell of Britain consider electric power repurchase by taking London as an example, construct a set of simple cold and hot
Chp system is combined system with additional combustion boiler, electric heating pump, and for the workload demand of Various Seasonal to system economy into
Optimization is gone[3]。
However since the matching of the cold and hot electric load of distributed system limits, the imbalance and intelligence degree of load supply and demand
Not high factor, causes distributed system economy not satisfactory, its popularization and application at home is made to be greatly limited.
Invention content
Demand response control and comfort level are fed back by the energy supplying system combined based on weather forecast the present invention provides a kind of,
The present invention realizes energy-saving and emission-reduction while meeting the different comfort level of user and needing, and meets the need in practical application
It wants, it is described below：
A kind of energy supplying system for being combined demand response control and comfort level feedback based on weather forecast, the energy supplying system
Including：
Demand response control module, for user illumination and indoor temperature information be monitored, in conjunction with operation of power networks
The demand response control strategy of information, indoor temperature, luminance information output ustomer premises access equipment, and demand response control strategy is passed
Transport to load prediction module；
Load prediction module, for being born by historical load information, meteorologic parameter and the structure parameter of forecast
Lotus prediction, and by the demand response control strategy to being modified with energy requirement forecasting result；
System equipment effectiveness models module makes system for the operation data or producer's sample data according to each equipment
Equipment effectiveness model, the optimization aim for energy management center provide input data；
Energy management center, for using energy requirement forecasting result and system equipment effectiveness models by revised, according to
Each device efficiency of distributing-supplying-energy system with rate of load condensate and temperature variation relation, it is optimal or Environmental optimal be with economy
Object function, formulate operation reserve simultaneously controlled, the information then provided by user terminal monitoring modular to operation reserve again
It is corrected in real time.
Wherein, the system equipment effectiveness models are specially：
Between the different-energy form of equipment transformation efficiency η or COP with rate of load condensate x and temperature T variation relation.
Wherein, the load prediction of the load prediction module is specially：
Q=f (Qh,To,T,d,F)
Wherein, QhFor history energy demand information, ToFor outdoor temperature, T is the comfort temperature of indoor requirement, and d is outdoor wet
Degree, F is intensity of solar radiation.
The advantageous effect of technical solution provided by the invention is：The intelligent energy supply to building and region can be achieved in the present invention.
By the accurate real-time prediction with energy demand combined with demand response technology, distributing-supplying-energy system can be made and respectively set
Standby optimal operation reserve, then operation reserve and demand response strategy are modified by user terminal monitoring modular system, both
The different comfort level of user can be met to need and can realize energy-saving and emission-reduction.
Description of the drawings
Fig. 1 is the intelligent energy supply system schematic；
Fig. 2 is distributed energy resource system schematic diagram；
In attached drawing, parts list represented by the reference numerals are as follows：
1：Demand response control module； 2：Distributing-supplying-energy system；
3：Load prediction module； 4：Energy management center；
5：User terminal monitoring modular； 6：System equipment effectiveness models module.
Specific implementation mode
To make the object, technical solutions and advantages of the present invention clearer, embodiment of the present invention is made below further
It is described in detail on ground.
Embodiment 1
A kind of energy supplying system for being combined demand response control and comfort level feedback based on weather forecast, referring to Fig. 1, the confession
Can system include：
Demand response control module 1, for user illumination and indoor temperature information be monitored, in conjunction with operation of power networks
The demand response control strategy of information, indoor temperature, luminance information output ustomer premises access equipment, and demand response control strategy is passed
Transport to load prediction module 3；
Load prediction module 3, for being born by historical load information, meteorologic parameter and the structure parameter of forecast
Lotus prediction, and by demand response control strategy to being modified with energy requirement forecasting result；
System equipment effectiveness models module 6 makes system for the operation data or producer's sample data according to each equipment
Equipment effectiveness model, the optimization aim for energy management center 4 provide input data；
Energy management center 4, for using energy requirement forecasting result and system equipment effectiveness models by revised, according to
Each device efficiency of distributing-supplying-energy system 2 with rate of load condensate and temperature variation relation, it is optimal or Environmental optimal with economy
For object function, formulates operation reserve and controlled, the information then provided by user terminal monitoring modular 5 is to operation reserve
It is corrected in real time again.
Wherein, system equipment effectiveness models are specially：
Between the different-energy form of equipment transformation efficiency η or COP with rate of load condensate x and temperature T variation relation.
Wherein, the load prediction of load prediction module 3 is specially：
Q=f (Qh,To,T,d,F)
Wherein, QhFor history energy demand information, ToFor outdoor temperature, T is the comfort temperature of indoor requirement, and d is outdoor wet
Degree, F is intensity of solar radiation.
The scheme in embodiment 1 is described in detail with reference to specific calculation formula and example, it is as detailed below to retouch
It states：
Embodiment 2
A kind of energy supplying system for being combined demand response control and comfort level feedback based on weather forecast, the energy supplying system packet
It includes：Demand response control module 1, distributing-supplying-energy system 2, load prediction module 3, energy management center 4, user terminal monitor mould
Block 5 and system equipment effectiveness models module 6, wherein
Demand response control module 1, for user illumination and indoor temperature information be monitored, in conjunction with operation of power networks
The demand response control strategy of information, indoor temperature, luminance information output ustomer premises access equipment, and demand response control strategy is passed
Transport to load prediction module 3.
The demand response control strategy of above-mentioned ustomer premises access equipment is：Electric load peak period is relatively low by Summer Indoor temperature
The air-conditioning in the room of (winter indoor temperature is higher) close by force or before power surges load by Summer Indoor temperature compared with
The air-conditioning in the room of high (winter indoor temperature is relatively low) is opened in advance by force；By force by the lighting apparatus in the not high room of lighting demand
It closes；
Energy consumption can be effectively saved by above-mentioned control strategy, grid power load peak load shifting is realized, ensures it
Safe operation.The brightness of specific temperature and illumination according in practical application set, such as：Summer Indoor
Temperature can be 26 degree.
Load prediction module 3 (is obtained, meteorology for historical load information, the meteorologic parameter by forecasting by weather bureau
Parameter includes historical load, outdoor temperature, humidity, intensity of solar radiation, wind speed etc.) and structure parameter (by energy supply build
Acquisition is built, structure parameter includes building occupancy, materials for wall, thickness, door and window area, direction, doors structure, area, people
Member's information etc.) load prediction is carried out, the demand response control strategy of oneself is passed to load prediction by demand response control module 1
Module 3, is modified the result of load prediction, finally obtains the accurate user's real-time load combined with demand response technology
Demand.
Wherein, load prediction module 3 is to be based on weather forecast, according to meteorologic parameter and architecture information to energy supply building or area
Domain carries out prediction of the user with energy demand；And combine and the demand response of room lighting and the apparatus of air conditioning is controlled, to load
The result of prediction is modified, and predicts the following mid-term, short-term workload demand.
The load prediction module 3 is that one kind being based on weather forecast, the prediction technique with feed-forward characteristic, and prediction result is accurate
Really, convenient energy administrative center 4 makes the scheduling strategy of distributing-supplying-energy system 2 in advance.Specific prediction model form is as follows,
Middle QhFor history energy demand information, ToFor outdoor temperature, T is the comfort temperature of indoor requirement, and d is outside humidity, and F is the sun
Radiation intensity：
Q=f (Qh,To,T,d,F)
Referring in Fig. 2, system equipment effectiveness models module 6 is done according to the operation data or producer's sample data of each equipment
Go out system equipment effectiveness models.
Wherein, system equipment effectiveness models refer to the performance curve of each equipment of system, i.e., device efficiency is (practical with rate of load condensate
The ratio of power and rated power) and temperature (cooling water temperature, supply and return water temperature etc.) variation relation, imitated by system equipment
Energy model, energy management center 4 can should be run according to make each equipment of system with energy demand with what rate of load condensate and temperature
Workload demand could be met, and the energy input of the equipment can be calculated according to device efficiency, be energy management center 4
Optimization aim provides input data.
Such as：System equipment effectiveness models are the performance curve of each equipment of system, i.e., turn between the different-energy form of equipment
Change efficiency eta (or COP) with the variation relation of rate of load condensate x and temperature T, distributing-supplying-energy system 2 can be exported by the model
Energy be converted to the energy of input.And then energy management center 4 can make system by the relationship between the output and input
Each equipment should be run with what rate of load condensate and temperature, just can guarantee the energy of system output and that predicts uses energy demand matching,
It can guarantee that object function is optimal again, system equipment effectiveness models form is as follows：
η=f (x, T)
Cop=f (x, T)
Wherein, cop is energy efficiency coefficient, indicates the ratio of refrigeration or heating capacity and input electric power.
Referring to Fig. 1, energy management center 4 is the core of intelligent energy supply system, for energy demand and being by prediction
System equipment effectiveness model, and according to 2 each device efficiency of distributing-supplying-energy system with the variation relation of rate of load condensate and temperature, with economy
Property it is optimal or it is Environmental most it is excellent be object function, make operation reserve and each equipment of system controlled, then pass through
The information that user terminal monitoring modular 5 provides corrects operation reserve in real time again, obtains correction strategy.
Wherein, optimal or Environmental most excellent for object function with economy, make system running policy and to system
The operation that each equipment is controlled is those skilled in the known art, such as：It may refer to public in publication number CN104216368A
The operating process opened, when specific implementation, the embodiment of the present invention does not repeat this.
Referring to Fig. 1, when user is dissatisfied to oneself comfort level, user's bearing oneself by user terminal monitoring modular 5
Lotus update information (such as：The loads such as cool and thermal power update information) energy management center 4 is fed back to, energy management center 4 is again to dividing
The operation reserve of cloth energy supplying system 2 is modified, to meet the different comfort level demands of different user.
If user is dissatisfied to the load supply of system, such as：It is discontented to preset indoor temperature before or brightness
Meaning, can feed back to energy management center 4 and demand response control module by demands of individuals information by user terminal monitoring modular 5
1.Energy management center 4 and demand response control module 1 are modified respective operation reserve, to meet different user not
With comfort level demand.
Wherein, distributing-supplying-energy system 2 can provide cold and hot electricity demanding simultaneously, using various clean energy resourcies as input,
And the combination of power grid or independently operated different energy sources conversion equipment can be relied on, as shown in Figure 2.
Energy management center 4 proposed by the present invention is the core of the intelligent energy supply system.Energy management center 4 is in one
Contain optimization algorithm dispatching platform, by energy for building demand (such as：The workload demands such as cool and thermal power) and system equipment effectiveness models
It is as input, 2 economy of distributing-supplying-energy system is optimal or Environmental optimal as object function, by the equilibrium of supply and demand of the energy
As constraint, the optimized operation strategy of 2 each equipment of distributing-supplying-energy system is made by certain optimization algorithm.
Object function and constraints are as follows：
Economy is optimal：
In formula, ρf、WithRespectively natural gas purchasing price, electricity price lattice, F are sold from power grid power purchase price and to power gridi
To buy amount of natural gas, WiJust, to sell it is negative from power grid purchase of electricity, to buy in.
It is Environmental optimal：
min{ufFiηe+uemax{Wi,0}+(ue-uf)min{Wi,0}}
In formula, ufAnd ueFor every kilowatt hour fuel gas generation and coal fired power generation (electricity of acquiescence power grid comes for coal fired power generation)
Carbon emission coefficient, ηeFor the generating efficiency of gas electricity generator, (ue-uf)min{Wi, 0 } and indicate that fuel gas generation is reversely sold back to power grid
When, every kilowatt of diminishbb carbon emission amount.
Constraints：
F (α)=0 (constraint of the load equilibrium of supply and demand)
G (α)≤0 (equipment maximum power restriction)
Wherein, the energy that load equilibrium of supply and demand constraint representation system provides is equal to energy demand；Equipment maximum power limits
Each equipment operation power of constraint representation cannot be more than the rated power of equipment.
In conclusion intelligent energy supply system proposed by the present invention, it can be achieved that building and region intelligent energy supply.Pass through tool
There is the accurate of feed-forward characteristic to use energy requirement forecasting and system equipment performance curve, distributing-supplying-energy system can be made and respectively set
Standby optimal operation reserve, then operation reserve and demand response strategy are modified by user terminal monitoring modular, Ji Nengman
The different comfort level of sufficient user needs to realize energy-saving and emission-reduction again.
To the model of each device in addition to doing specified otherwise, the model of other devices is not limited the embodiment of the present invention,
As long as the device of above-mentioned function can be completed.
It will be appreciated by those skilled in the art that attached drawing is the schematic diagram of a preferred embodiment, the embodiments of the present invention
Serial number is for illustration only, can not represent the quality of embodiment.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention.
Bibliography
[1]Wang J,Yang Y,Mao T,et al.Life cycle assessment(LCA)optimization
of solar-assisted hybrid CCHP system[J].Applied Energy,2015,146:38-52.
[2]Wu Qiong,Ren Hongbo,Gao Wei,et al.Multi-criteria assessment of
combined cooling,heating and power systems located in different regions in
Japan[J].Applied Thermal Engineering,2014,73(1):658-668.
[3]Mancarella P,Chicco G.Real-time demand response from energy
shifting in distributed multi-generation[J].IEEE Transactions on Smart Grid,
2013,4(4):1928-1938.
Claims (3)
1. a kind of energy supplying system for being combined demand response control and comfort level feedback based on weather forecast, which is characterized in that institute
Energy supplying system is stated for residential customer, the energy supplying system includes：
Demand response control module, for user illumination and indoor temperature information be monitored, in conjunction with operation of power networks information,
The demand response control strategy of indoor temperature, luminance information output ustomer premises access equipment, and demand response control strategy is transmitted to
Load prediction module；
It is pre- to carry out load for the historical load information, meteorologic parameter and structure parameter by forecasting for load prediction module
It surveys, and by the demand response control strategy to being modified with energy requirement forecasting result；
System equipment effectiveness models module makes system equipment for the operation data or producer's sample data according to each equipment
Effectiveness models, the optimization aim for energy management center provide input data；
Energy management center, for using energy requirement forecasting result and system equipment effectiveness models by revised, according to distribution
Each device efficiency of formula energy supplying system is with the variation relation of rate of load condensate and temperature, and with Environmental optimal for object function, formulation is transported
Row strategy is simultaneously controlled, and the information then provided by user terminal monitoring modular corrects operation reserve in real time again；
Wherein, the demand response control strategy is specially：Electric load peak period is by Summer Indoor temperature is relatively low or winter room
The air-conditioning in the interior higher room of temperature is closed by force, or by Summer Indoor temperature is higher or winter before power surges load
The air-conditioning in the lower room of indoor temperature is opened in advance by force；The lighting apparatus in the not high room of lighting demand is closed by force；
The object function：
min{ufFiηe+uemax{Wi,0}+(ue-uf)min{Wi,0}}
In formula, ufAnd ueFor the carbon emission coefficient of every kilowatt hour fuel gas generation and coal fired power generation, ηeIt is imitated for the power generation of gas electricity generator
Rate, (ue-uf)min{Wi, 0 } and fuel gas generation is indicated when being reversely sold back to power grid, every kilowatt of diminishbb carbon emission amount, FiFor purchase
Amount of natural gas, WiFor the purchase of electricity of power grid.
2. a kind of energy supply for being combined demand response control and comfort level feedback based on weather forecast according to claim 1
System, which is characterized in that the system equipment effectiveness models are specially：
Between the different-energy form of equipment transformation efficiency η or energy efficiency coefficient COP with rate of load condensate x and temperature T variation relation.
3. a kind of energy supply for being combined demand response control and comfort level feedback based on weather forecast according to claim 1
System, which is characterized in that the load prediction of the load prediction module is specially：
Q=f (Qh,To,T,d,F)
Wherein, QhFor history energy demand information, ToFor outdoor temperature, T is the comfort temperature of indoor requirement, and d is outside humidity, F
For intensity of solar radiation.
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| CN109695976A (en) * | 2017-10-23 | 2019-04-30 | 深圳市爱能森科技有限公司 | A kind of method, system and the terminal device of powering device management |
| US10823446B2 (en) | 2018-10-12 | 2020-11-03 | Chicony Power Technology Co., Ltd. | System of adjusting load of air conditioning and method of adjusting the same |
| JP7233964B2 (en) * | 2019-02-26 | 2023-03-07 | 三菱重工業株式会社 | Driving indicator presentation device, driving indicator presentation method, and program |
| CN111144628A (en) * | 2019-12-16 | 2020-05-12 | 茂盟（上海）工程技术股份有限公司 | Distributed energy supply type cooling, heating and power load prediction model system and method |
| CN111487939B (en) * | 2020-04-17 | 2023-03-10 | 内蒙古润泰新能源科技有限公司 | Intelligent system for heating, power supply and refrigeration integrated natural energy and control method |
| CN113218109B (en) * | 2021-04-15 | 2021-12-14 | 北京华远意通热力科技股份有限公司 | Intelligent regulation and control device and method for deep waste heat recovery |
| CN113776119B (en) * | 2021-09-24 | 2024-08-09 | 武汉蓝颖新能源有限公司 | Biomass boiler heating system based on indoor comfort level self-adaption |
| CN116014818B (en) * | 2023-03-29 | 2023-06-27 | 河北思悟新能源科技有限公司 | Comprehensive energy supply management system for climate change area |
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| CN104571068A (en) * | 2015-01-30 | 2015-04-29 | 中国华电集团科学技术研究总院有限公司 | Optimized operation control method and system of distributed energy system |
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| US9595070B2 (en) * | 2013-03-15 | 2017-03-14 | Google Inc. | Systems, apparatus and methods for managing demand-response programs and events |
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| CN103259335A (en) * | 2013-04-11 | 2013-08-21 | 国家电网公司 | Intelligent demand response and demand side optimizing operation system |
| CN104505824A (en) * | 2014-12-12 | 2015-04-08 | 国家电网公司 | Method and device for making electricity-generating load plan of thermal power plant under running mode of ordering power by heat |
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