CN109539480B - Cold and hot load green energy-saving optimized dispatching system for distributed energy station - Google Patents
Cold and hot load green energy-saving optimized dispatching system for distributed energy station Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1006—Arrangement or mounting of control or safety devices for water heating systems
- F24D19/1009—Arrangement or mounting of control or safety devices for water heating systems for central heating
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
- F24F11/83—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air by controlling the supply of heat-exchange fluids to heat-exchangers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/88—Electrical aspects, e.g. circuits
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D4/00—Tariff metering apparatus
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- G—PHYSICS
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- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K17/00—Measuring quantity of heat
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- G01K17/08—Measuring quantity of heat conveyed by flowing media, e.g. in heating systems e.g. the quantity of heat in a transporting medium, delivered to or consumed in an expenditure device based upon measurement of temperature difference or of a temperature
- G01K17/10—Measuring quantity of heat conveyed by flowing media, e.g. in heating systems e.g. the quantity of heat in a transporting medium, delivered to or consumed in an expenditure device based upon measurement of temperature difference or of a temperature between an inlet and an outlet point, combined with measurement of rate of flow of the medium if such, by integration during a certain time-interval
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
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- Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
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Abstract
The invention discloses a green energy-saving optimized cold and heat load dispatching system for a distributed energy station, which is constructed on the basis of an electric power dispatching system, power utilization information acquisition and multi-meter reading, uses cold and heat load data of a terminal user as a formulation basis of a dispatching strategy, and systematically improves the operation energy efficiency of a cold and heat supply system by taking operation control of main energy equipment of a regional energy station as a handle for dispatching execution. The user subentry heat metering and the energy station scheduling are fused and communicated, the building thermal inertia potential of the user can be further exerted on the basis of the energy-saving enthusiasm of the user, the comprehensive benefits of peak shaving, clean energy consumption and the like of a power grid are realized, the operation economy of the distributed energy station is favorably improved, and the investment recovery progress is accelerated.
Description
Technical Field
The invention relates to a green energy-saving optimized dispatching system for cold and heat loads of a distributed energy station, and belongs to the technical field of dispatching automation of clean energy systems.
Background
At present, with the rapid development of the world economy and the improvement of the living standard of people, the heating and cooling of public buildings and residential houses become the universal demand in the world. In developed countries, the energy consumption of heat supply and air conditioning can account for 25% -30% of the total social energy consumption. The proportion of the building energy consumption in the total energy consumption is about 19-20% in the idea of China, wherein the energy consumption for heating, ventilating and air conditioning accounts for about 85% of the building energy consumption. Especially in the vast area in the north of China, the central heating is adopted in winter, the heat source is mostly a coal-fired thermal power plant, and the energy consumption is huge.
For a long time, heating and heat supply in northern areas of China generally pay according to the area of a residential building instead of the actual consumed heat, so that users have poor energy-saving awareness and lack of enthusiasm for actively adjusting heat load requirements, and the adverse situation that a supply end passively meets the requirements of the users is caused, and resources are wasted. In developed countries in Europe and America, the use of heat metering meters is quite common in the early eighties, and energy companies take heat metering data of the heat meters as the basis and means for charging by pricing, so that the energy-saving and energy-saving method is beneficial to energy conservation of users and economic operation of the energy companies, and energy waste is reduced. According to the analysis of the operation data, the energy can be saved by 20-30% generally through the subentry measurement. Heat metering charges are listed in 'building energy saving' nine five 'plan and 2010 planning' by the Ministry of construction in China in the early years, but due to the current situation of objective history, the heat metering charges of individual households are not counted on a large scale.
With the continuous promotion of urbanization construction, the demand of the public on living comfort is continuously improved, and it is necessary to utilize the advantages of domestic scheduling to carry out cold and hot load scheduling work on the basis of energy metering and charging, and further exert the potential of heat inertia of a user side on the basis of energy conservation, so as to realize the comprehensive benefits of energy conservation of the user, peak shaving of a power grid, consumption of clean energy and the like.
Disclosure of Invention
The purpose is as follows: in order to overcome the defects in the prior art, the invention provides a green energy-saving optimized dispatching system for cold and hot loads of a distributed energy station.
The technical scheme is as follows: in order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a distributed energy source station-oriented cold and heat load green energy-saving optimized dispatching system comprises: cold and hot load scheduling main website, regional energy resource station, end user side, regional energy resource station includes: the intelligent interactive terminal of the energy station, a control interface board for controlling the refrigeration/heating host, a flowmeter, a thermometer and a water pump controller; the terminal user side comprises: the system comprises a user side metering device, a heat meter, an intelligent ammeter and a temperature and humidity sensor; the cold and hot load dispatching master station is connected with the input end of the front-end communication server through an internal local area network, and the output end of the front-end communication server is respectively connected with the energy station intelligent interaction terminal and the user side metering device through a public communication network; the intelligent interaction terminal of the energy station is connected with the output end of the control interface board of the refrigeration/heating host machine through a field bus network, and the input end of the control interface board of the refrigeration/heating host machine is respectively connected with the flowmeter, the thermometer and the water pump controller through the field bus network; and the user side metering device is respectively connected with the heat meter, the intelligent ammeter and the temperature and humidity sensor through a field bus network.
As a preferred scheme, the cold and hot load scheduling master station is used for acquiring the clean energy power generation condition, the energy market information and the power grid running state, performing an optimal scheduling decision, and issuing a scheduling instruction to the regional energy station.
As a preferred scheme, the energy station intelligent interaction terminal is used for collecting water supply, return water temperature and flow of the energy station by controlling a refrigeration/heating host control interface board and uploading data to a cold and heat load scheduling master station; and according to the scheduling instruction, the water pump controller is controlled, so that the water supply and return temperature and flow of the refrigerating/heating host machine are adjusted.
As a preferred scheme, the user side metering device is used for collecting user heat, electric energy consumption and environmental conditions in real time and uploading data to the cold and hot load scheduling master station.
Has the advantages that: the green energy-saving optimized dispatching system for the cold and heat loads of the distributed energy station, provided by the invention, is constructed on the basis of an electric power dispatching system, power utilization information acquisition and multi-meter reading, the cold and heat load dispatching system is used for using the cold and heat load data of a terminal user as a formulation basis of a dispatching strategy, and the operation control of main energy equipment of the regional energy station is used as a handle for dispatching execution, so that the operation energy efficiency of a cold and heat supply system is systematically improved. The user subentry heat metering and the energy station scheduling are fused and communicated, the building thermal inertia potential of the user can be further exerted on the basis of the energy-saving enthusiasm of the user, the comprehensive benefits of peak shaving, clean energy consumption and the like of a power grid are realized, the operation economy of the distributed energy station is favorably improved, and the investment recovery progress is accelerated.
Drawings
Fig. 1 is a schematic structural diagram of a scheduling system according to the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings.
As shown in fig. 1, a green energy-saving and cold-heat load optimized dispatching system for distributed energy resource stations includes: cold and hot load scheduling main website, regional energy resource station, end user side, regional energy resource station includes: the intelligent interactive terminal of the energy station, a control interface board for controlling the refrigeration/heating host, a flowmeter, a thermometer and a water pump controller; the terminal user side comprises: the system comprises a user side metering device, a heat meter, an intelligent ammeter and a temperature and humidity sensor; the cold and hot load dispatching master station is connected with the input end of the front-end communication server through an internal local area network, and the output end of the front-end communication server is respectively connected with the energy station intelligent interaction terminal and the user side metering device through a public communication network; the intelligent interaction terminal of the energy station is connected with the output end of the control interface board of the refrigeration/heating host machine through a field bus network, and the input end of the control interface board of the refrigeration/heating host machine is respectively connected with the flowmeter, the thermometer and the water pump controller through the field bus network; and the user side metering device is respectively connected with the heat meter, the intelligent ammeter and the temperature and humidity sensor through a field bus network.
The cold and hot load scheduling master station is used for acquiring the clean energy power generation condition, the energy market information and the power grid running state, performing an optimal scheduling decision and issuing a scheduling instruction to the regional energy station;
the energy station intelligent interaction terminal is used for controlling the interface board to collect water supply, return water temperature and flow of the energy station by controlling the refrigeration/heating host and uploading data to the cold and hot load scheduling master station; and according to the scheduling instruction, controlling a water pump controller so as to adjust the water supply and return temperature and flow of the refrigeration/heating host;
the user side metering device is used for collecting user heat, electric energy consumption and environmental conditions in real time;
the method for optimizing the scheduling decision comprises the following steps:
step 1: through temperature and humidity sensors at the side of a terminal user, the indoor temperature T is acquiredIndoor useAnd uploading the data to a cold and hot load scheduling master station; the cold and hot load scheduling master station judges the following conditions: when T isIndoor use＜δ1 Threshold value，δ1 Threshold valueThe set heating temperature threshold value is shown, and a cold and hot load scheduling master station provides a heating water quantity instruction for the energy source stations under the regional energy source stations; when T isIndoor use＞δ2 Threshold value，δ2 Threshold valueAnd the set refrigeration temperature threshold value is shown, and the cold and hot load dispatching master station provides a refrigeration water quantity instruction for the energy source station under the regional energy source station.
Step 2: the water supply temperature T of the user is acquired through a heat meter at the side of the terminal userFor supplying toTemperature T of return waterGo back toThe flow meter of the regional energy station collects the flow F and uploads the data to the cold and hotThe load scheduling master station calculates the heating and cooling heat consumption H of the user; h ═ F | TFor supplying to-TGo back to|*ρWater (W)Where ρ isWater (W)The specific heat rate of water is shown.
And step 3: collecting user electricity consumption p through intelligent ammeter at terminal user sideUser' sAnd uploading the data to the cold and hot load scheduling master station.
And 4, step 4: acquiring the power generation power prediction and real-time power generation data of the clean energy power plant, and calculating and maximally absorbing the clean energy P by a cold and hot load scheduling master station according to the power consumption of a userDigestion aid；PDigestion aid＝min(pClean energy,pUser' s) Wherein p isClean energyRepresenting the clean energy power generation.
And 5: acquiring real-time electricity price information, using clean energy generated energy to power grid peak clipping and valley filling operation, and calculating predicted income participating in power grid peak clipping and valley filling by a cold and heat load scheduling master station
Wherein p isPeak(s)、pGrainRepresents the peak and valley electricity prices, CPeak to valley capacityIndicating the capacity available to participate in peak clipping and valley filling, PPatchRepresenting the subsidy amount.
Step 6: the cold and heat load dispatching master station predicts the user heating and refrigerating heat consumption H as the output value of the regional energy station according to the peak clipping and valley filling capacity of the maximum peak clipping and valley filling income of the consumption of clean energy, and calculates the operation parameters of the regional energy station water pump when the output value is finished according to the working condition curve of the user heating and refrigerating heat consumption and the water supply and return temperature and flow of the real-time energy station, and calculates the saving energy lambda of the regional energy station water pumpEnergy savingThe method is used for realizing green energy-saving optimized scheduling;
and 7: comprehensive benefit evaluation of green energy-saving optimized scheduling on clean energy consumption, power grid economic operation and user energy saving through calculation of cold and heat load scheduling master station
Example (b):
compared with the centralized heating of a thermal power plant, the cold and heat load green energy-saving optimized dispatching system for the distributed energy station has the advantages that the distributed energy station with the energy storage device for electric refrigeration/heating is built nearby in a resident/building area needing centralized heating; the residents, buildings and other terminal users receiving the cold and heat supply service need to install individual thermal metering instruments and indoor temperature and humidity sensors, and can be charged according to the actual heat consumption. And providing the user data to a cold and hot load scheduling master station for optimal scheduling decision, so as to further optimize and schedule the distributed energy station with the energy storage device for electric refrigeration/heating.
On one hand, the invention changes the bad operation modes of passively meeting the cold and heat load requirements of users and fixedly supplying heat without considering the actual requirements of the users in the traditional centralized heating mode, and on the other hand, the invention adds cold and heat scheduling on the basis of scheduling the power supply of the traditional power grid scheduling system, thereby flexibly, environmentally, energy-saving and optimally scheduling according to different requirements of clean energy consumption, power grid economic operation and the like, and realizing the win-win of society, energy suppliers and users
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (5)
1. A distributed energy source station-oriented cold and heat load green energy-saving optimized dispatching system comprises: cold and hot load scheduling main website, regional energy station, end user side, its characterized in that: the regional energy station comprises: the intelligent interactive terminal of the energy station, a control interface board for controlling the refrigeration/heating host, a flowmeter, a thermometer and a water pump controller; the terminal user side comprises: the system comprises a user side metering device, a heat meter, an intelligent ammeter and a temperature and humidity sensor; the cold and hot load dispatching master station is connected with the input end of the front-end communication server through an internal local area network, and the output end of the front-end communication server is respectively connected with the energy station intelligent interaction terminal and the user side metering device through a public communication network; the intelligent interaction terminal of the energy station is connected with the output end of the control interface board of the refrigeration/heating host machine through a field bus network, and the input end of the control interface board of the refrigeration/heating host machine is respectively connected with the flowmeter, the thermometer and the water pump controller through the field bus network; the user side metering device is respectively connected with the heat meter, the intelligent ammeter and the temperature and humidity sensor through a field bus network;
the cold and hot load scheduling master station is used for acquiring the clean energy power generation condition, the energy market information and the power grid running state, performing an optimal scheduling decision and issuing a scheduling instruction to the regional energy station;
the energy station intelligent interaction terminal is used for controlling the interface board to collect water supply, return water temperature and flow of the energy station by controlling the refrigeration/heating host and uploading data to the cold and hot load scheduling master station; and according to the scheduling instruction, controlling a water pump controller so as to adjust the water supply and return temperature and flow of the refrigeration/heating host;
the user side metering device is used for acquiring user heat, electric energy consumption and environmental conditions in real time and uploading data to the cold and hot load scheduling master station;
the method for optimizing the scheduling decision comprises the following steps:
step 1: through temperature and humidity sensors at the side of a terminal user, the indoor temperature T is acquiredIndoor useWhen T isIndoor use＜δ1 Threshold value，δ1 Threshold valueThe set heating temperature threshold value is shown, and a cold and hot load scheduling master station provides a heating water quantity instruction for the energy source stations under the regional energy source stations; when T isIndoor use＞δ2 Threshold value，δ2 Threshold valueThe set refrigeration temperature threshold value is shown, and a cold and hot load dispatching master station provides a refrigeration water quantity instruction for an energy source station under a regional energy source station;
step 2: the water supply temperature T of the user is acquired through a heat meter at the side of the terminal userFor supplying toTemperature T of return waterGo back toAcquiring flow F by a flowmeter of the regional energy station, and calculating the heating and refrigerating heat consumption H of a user;
and step 3: collecting user electricity consumption p through intelligent ammeter at terminal user sideUser' s；
And 4, step 4: acquiring the power generation power prediction and real-time power generation data of the clean energy power plant, and calculating and maximally absorbing the clean energy P by a cold and hot load scheduling master station according to the power consumption of a userDigestion aid；
And 5: acquiring real-time electricity price information, using clean energy generated energy to power grid peak clipping and valley filling operation, and calculating predicted income participating in power grid peak clipping and valley filling by a cold and heat load scheduling master station
Step 6: the cold and heat load dispatching master station predicts the user heating and refrigerating heat consumption H as the output value of the regional energy station according to the peak clipping and valley filling capacity of the maximum peak clipping and valley filling income of the consumption of clean energy, and calculates the operation parameters of the regional energy station water pump when the output value is finished according to the working condition curve of the user heating and refrigerating heat consumption and the water supply and return temperature and flow of the real-time energy station, and calculates the saving energy lambda of the regional energy station water pumpEnergy savingThe method is used for realizing green energy-saving optimized scheduling;
and 7: comprehensive benefit assessment phi of green energy-saving optimized scheduling on clean energy consumption, power grid economic operation and user energy saving through calculation of cold and heat load scheduling master stationComprehensive benefits。
2. The distributed energy station-oriented green energy-saving cold and heat load optimal scheduling system according to claim 1, wherein: the refrigeration heat consumption H in the step 2 is calculated as follows: h ═ F | TFor supplying to-TGo back to|*ρWater (W)Where ρ isWater (W)The specific heat rate of water is shown.
3. The distributed energy station-oriented green energy-saving cold and heat load optimal scheduling system according to claim 1, wherein: maximizing the consumption of clean energy P in the step 4Digestion aidThe calculation method is as follows: pDigestion aid＝min(pClean energy,pUser' s) Wherein p isClean energyRepresenting the clean energy power generation.
4. The distributed energy station-oriented green energy-saving cold and heat load optimal scheduling system according to claim 1, wherein: in the step 5, the predicted income of peak clipping and valley filling of the power grid is participated in
The calculation method is as follows:
wherein p isPeak(s)、pGrainRepresents the peak and valley electricity prices, CPeak to valley capacityIndicating the capacity available to participate in peak clipping and valley filling, PPatchRepresenting the subsidy amount.
5. The distributed energy station-oriented green energy-saving cold and heat load optimal scheduling system according to claim 1, wherein: the comprehensive benefit evaluation phi in the step 7Comprehensive benefitsThe calculation method is as follows:
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| CN110096043B (en) * | 2019-05-15 | 2020-08-11 | 国网冀北综合能源服务有限公司 | Energy station multi-energy supply network cooperative control system and control method thereof |
| CN110925943B (en) * | 2019-11-26 | 2021-02-12 | 珠海格力电器股份有限公司 | Control method, device and equipment of air source heat pump unit and storage medium |
| CN111351123B (en) * | 2020-03-11 | 2021-08-13 | 国网山东省电力公司寿光市供电公司 | Electrified multifunctional heating system and method based on network load interaction |
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