CN116667342A - Agricultural greenhouse temperature control load regulation and control method considering standby capability - Google Patents

Agricultural greenhouse temperature control load regulation and control method considering standby capability Download PDF

Info

Publication number
CN116667342A
CN116667342A CN202310930606.4A CN202310930606A CN116667342A CN 116667342 A CN116667342 A CN 116667342A CN 202310930606 A CN202310930606 A CN 202310930606A CN 116667342 A CN116667342 A CN 116667342A
Authority
CN
China
Prior art keywords
greenhouse
temperature
temperature control
load
period
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202310930606.4A
Other languages
Chinese (zh)
Other versions
CN116667342B (en
Inventor
吴巨爱
邓诗扬
谢东亮
陈颢明
黄杰
朱元梦
张腾飞
徐俊俊
邹花蕾
朱三立
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing University of Posts and Telecommunications
Original Assignee
Nanjing University of Posts and Telecommunications
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nanjing University of Posts and Telecommunications filed Critical Nanjing University of Posts and Telecommunications
Priority to CN202310930606.4A priority Critical patent/CN116667342B/en
Publication of CN116667342A publication Critical patent/CN116667342A/en
Application granted granted Critical
Publication of CN116667342B publication Critical patent/CN116667342B/en
Priority to PCT/CN2024/070725 priority patent/WO2024125663A1/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/007Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01GHORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G9/00Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
    • A01G9/24Devices or systems for heating, ventilating, regulating temperature, illuminating, or watering, in greenhouses, forcing-frames, or the like
    • A01G9/26Electric devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313Resource planning in a project environment
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0206Price or cost determination based on market factors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H02J3/144Demand-response operation of the power transmission or distribution network
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/62The condition being non-electrical, e.g. temperature
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/62The condition being non-electrical, e.g. temperature
    • H02J2310/64The condition being economic, e.g. tariff based load management
    • 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
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/10Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
    • Y02A40/25Greenhouse technology, e.g. cooling systems therefor

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Development Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Accounting & Taxation (AREA)
  • General Business, Economics & Management (AREA)
  • Finance (AREA)
  • Power Engineering (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Environmental Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Greenhouses (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention belongs to the technical field of power system dispatching and discloses an agricultural greenhouse temperature control load regulation and control method considering standby capability. The invention considers the adjustability of the greenhouse temperature control load, has the capability of providing operation reserve for an electric power system, provides a reserve capacity calculation method of the greenhouse temperature control load in combination with the crop growth requirement, comprehensively considers the electricity expense of the greenhouse temperature control load and the income condition of the upper reserve capacity expense and the lower reserve capacity expense, and reduces the overall electricity cost of the agricultural greenhouse temperature control load.

Description

Agricultural greenhouse temperature control load regulation and control method considering standby capability
Technical Field
The invention belongs to the technical field of power system dispatching and operation, and particularly relates to an agricultural greenhouse temperature control load regulation and control method considering standby capacity.
Background
Because the new energy output has inherent unpredictability, the high new energy duty ratio in the power system inevitably brings the difficulty of electric power and electric quantity balance; in the decarburization process of the power supply side, the traditional regulation and control resource pool (such as thermal power, hydropower and the like) is kept unchanged and even is continuously reduced, the supply and demand contradiction of the system adequacy only becomes more and more prominent, and other flexible regulation resources are required to be further excavated.
At present, with the development of facility agriculture, the scale of agricultural greenhouses is increasingly enlarged. Although large-scale greenhouse crop cultivation causes the gradual increase of the energy consumption of agricultural facilities, the requirement of the greenhouse temperature control load on the instantaneity is not outstanding, so that the greenhouse temperature control load has certain adjustment flexibility, and the flexibility is utilized to provide standby for an electric power system. The difference of adjustable load types results in huge differences between respective regulation targets and constraint conditions during regulation when flexibility regulation capability is provided, and a method for providing power system regulation flexibility by using greenhouse temperature control load is not proposed in the prior art, and a calculation method for spare capacity of the greenhouse temperature control load is also lacking.
Disclosure of Invention
In order to solve the technical problems, the invention provides the agricultural greenhouse temperature control load regulation and control method considering the standby capability, and the related constraint conditions are considered, so that the greenhouse temperature control equipment load dispatching optimization target considering the standby capacity benefit is provided by taking the greenhouse temperature control load into consideration of the standby market, and the temperature control cost of the agricultural greenhouse can be obviously reduced while the operation reliability of the power system is improved.
The invention relates to a temperature control load regulation method of an agricultural greenhouse considering standby capability, which comprises the following steps:
step 1, determining quantitative relation constraint of load power of greenhouse temperature control facilities and heat generated by the temperature control facilities;
step 2, determining quantitative relation constraint of heat generated by a temperature control facility and indoor temperature of a greenhouse;
step 3, determining the power constraint of greenhouse temperature control equipment;
step 4, determining interval constraint of temperature in the greenhouse;
step 5, determining the temperature accumulation constraint of the temperature in the greenhouse;
and step 6, based on all constraints, providing a greenhouse temperature control equipment load scheduling optimization target considering the reserve capacity benefits, and obtaining an agricultural greenhouse temperature control cost minimization model.
Further, the time length of one dayDivided into n lengths ∈>Is frozen->The time-varying property of the operation load of the internal greenhouse temperature control equipment, and the minimum model of the operation cost of the greenhouse temperature control facility considering the standby benefits is as follows:
wherein P (k) represents the actual power of the device when the unit area of the kth period is controlled in temperature; c represents the greenhouse temperature control cost;is the surface area of the ground in the greenhouse; />The electricity expense of the temperature control equipment is spent for controlling the temperature in the unit area of the kth period;the upper reserve capacity benefit is obtained when the temperature is controlled in the unit area of the kth period; />Lower spare capacity benefit when controlling temperature in unit area of kth period; />Representing the price of the electric quantity; />、/>The upper spare capacity price and the lower spare capacity price are respectively; />For the upper reserve capacity of the kth period,/>;/>for the lower reserve capacity of the kth period, < > for>,/>And (5) the maximum power which can be actually operated for the temperature control equipment in the kth period.
Further, the quantitative relation constraint of the load power of the greenhouse temperature control facility and the heat generated by the temperature control facility is as follows:
wherein ,the heating load of the greenhouse in unit area in the kth period, namely the total energy required by heating in unit area; />The energy efficiency ratio of the heat pump, namely the heat which can be released per unit of electric energy input, is expressed, and the value of the energy efficiency ratio is related to the indoor temperature of the greenhouse, the performance of the heat pump and the like.
Further, the quantitative relation constraint of the heat generated by the temperature control facility and the indoor temperature of the greenhouse is as follows:
wherein ,conducting the lost heat load through the cover layer for the kth period of time; />Representing the heat load of solar radiation brought into the greenhouse during the kth period; u is the effective heat transfer coefficient; />The area of the greenhouse shell is shown as a ratio,is the total area of roof and side wall>Represents the surface area of the earth in the greenhouse; t (k) represents the temperature of the greenhouse in the kth period;representing a kth period outdoor temperature; />Representing the proportion of solar radiation entering the greenhouse to be converted into latent heat under normal operation of the greenhouse; />Indicating the light transmittance of the greenhouse; />Representing reflectivity based on illumination inside the greenhouse; />Is the kth period of solar radiation.
Further, the power constraint of the greenhouse temperature control device is as follows:
wherein ,indicating the rated power of the temperature control equipment; />Representing the power of the temperature control device when the kth period reaches the bearable limit temperature of the plant; />Representing a greenhouse heating heat load when the kth period reaches a limit temperature bearable by plants; />The greenhouse, when reaching the limit temperature that the plants can bear for the kth period, conducts the lost heat through the cover layer; />Representing the heat load of solar radiation brought into the greenhouse during the kth period; />Is the maximum temperature suitable for the growth of crops, +.>Indicating the kth period outdoor temperature.
Further, the interval constraint of the temperature in the greenhouse is as follows:
wherein ,for the preset point of temperature control of the greenhouse in the kth period, neglecting the time delay of temperature control, the preset point of temperature can be considered as the actual temperature in the current greenhouse, namely +.>;/>And->The maximum temperature and the minimum temperature set for the kth period are respectively; />And->The maximum temperature and the minimum temperature which are suitable for the growth of crops are respectively provided.
Further, the temperature accumulation constraint of the temperature in the greenhouse is as follows:
wherein ,a preset point representing the greenhouse temperature control in the kth period,/->The average temperature is expected for daytime;an average temperature is desired for the night; />For the start period of the daytime period, +.>Is the end of the daytime period, thus +.>The rest of the time period is night time period.
The beneficial effects of the invention are as follows: according to the invention, the adjustability of the greenhouse temperature control load is considered, and the power system is provided with operation reserve by using the greenhouse temperature control load, so that the scheduling flexibility of the power system is improved; the method for calculating the reserve capacity of the greenhouse temperature control load is provided by giving out quantitative relation constraint of the load power of the temperature control equipment and the indoor temperature of the greenhouse, power constraint of the temperature control equipment of the greenhouse and temperature accumulation constraint of the temperature in the greenhouse and combining the crop growth requirement; the electric quantity expense of the greenhouse temperature control load and the income conditions of the upper spare capacity expense and the lower spare capacity expense are comprehensively considered, a dispatching optimization model for minimizing the load cost of the greenhouse temperature control equipment is provided, and the overall electricity consumption cost of the agricultural greenhouse temperature control load is reduced.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a schematic diagram of power curves involved in the post-standby greenhouse temperature control load;
FIG. 3 is a schematic diagram of the upper and lower backup capacities involved in the temperature control load of the greenhouse after backup.
Detailed Description
In order that the invention may be more readily understood, a more particular description of the invention will be rendered by reference to specific embodiments that are illustrated in the appended drawings.
As shown in FIG. 1, the temperature control load regulation method for the agricultural greenhouse considering the spare capacity comprises the following steps:
step 1, giving quantitative relation constraint of load power of greenhouse temperature control facilities and heat generated by the temperature control facilities;
the power of the electric load of the greenhouse temperature control equipment is related to the energy efficiency ratio of the temperature control equipment to generate heat; when considering the electric load of the temperature control device in one day, the time length T of one day is divided into n lengthsIs frozen->The time-varying property of the operation load of the internal greenhouse temperature control equipment, and the quantitative relation constraint of the greenhouse temperature control facility load and the heat generated by the temperature control facility is as follows:
wherein ,representing the actual power of the equipment in the unit area temperature control of the kth period; />The heating load of the greenhouse in unit area in the kth period, namely the total energy required by heating in unit area; />The energy efficiency ratio of the temperature control device is represented, namely, the heat which can be released per unit electric energy input is related to the indoor temperature of the greenhouse, the performance of a heat pump and the like.
Step 2, determining quantitative relation constraint of heat generated by a temperature control facility and indoor temperature of a greenhouse;
the following model is constructed based on the heat balance equation:
wherein ,conducting the lost heat load through the cover layer for the kth period of time; />Representing the heat load of solar radiation brought into the greenhouse during the kth period; u is the effective heat transfer coefficient; />The area of the greenhouse shell is shown as a ratio,is the total area of roof and side wall>Represents the surface area of the earth in the greenhouse; />Representing the temperature of the greenhouse during the kth period;representing a kth period outdoor temperature; />Representing the proportion of solar radiation entering the greenhouse to be converted into latent heat under normal operation of the greenhouse; />Indicating the light transmittance of the greenhouse; />Representing reflectivity based on illumination inside the greenhouse; />Is the kth period of solar radiation.
Step 3, determining the power constraint of greenhouse temperature control equipment;
the power of the greenhouse temperature control equipment is limited by equipment technical parameters and greenhouse crop growth requirements, and the maximum power exists in the operation process;
wherein ,the calculation method of (1) is as follows:
wherein ,indicating the rated power of the temperature control equipment; />Representing the power of the temperature control device when the kth period reaches the bearable limit temperature of the plant; />Representing a greenhouse heating heat load when the kth period reaches a limit temperature bearable by plants; />The greenhouse, when reaching the limit temperature that the plants can bear for the kth period, conducts the lost heat through the cover layer; />Representing the heat load of solar radiation brought into the greenhouse during the kth period; />Is the maximum temperature suitable for the growth of crops, +.>Indicating the kth period outdoor temperature.
Step 4, determining interval constraint of temperature in the greenhouse;
the preset point of greenhouse heating is limited by greenhouse crop demands and outdoor temperature (the temperature control equipment is not considered for cooling in the invention); according to the accumulation temperature theory, the accumulation temperature of a control preset point of greenhouse heating in a certain period of time is a fixed value, and meanwhile, the difference of the day and night temperature demands of crops is considered, and the expected average temperature in the daytime and the expected average temperature in the night are set to different values;
wherein ,for the preset point of temperature control of the greenhouse in the kth period, neglecting the time delay of temperature control, the preset point of temperature can be considered as the actual temperature in the current greenhouse, namely +.>;/>And->The maximum temperature and the minimum temperature set for the kth period are respectively; />And->The maximum temperature and the minimum temperature which are suitable for the growth of crops are respectively provided.
Step 5, giving the temperature accumulation constraint of the temperature in the greenhouse;
according to the accumulation temperature theory, the accumulation temperature of a greenhouse temperature control preset point in a certain period of time is a fixed value, and meanwhile, the difference of the day and night temperature demands of crops is considered, and the expected average temperature in the daytime and the expected average temperature in the night are set to different values;
wherein ,a preset point representing the greenhouse temperature control in the kth period,/->The average temperature is expected for daytime;an average temperature is desired for the night; />For the start period of the daytime period, +.>Is the end time of the daytime periodThus +.>The rest of the time period is night time period.
Step 6, based on all constraints, providing a greenhouse temperature control equipment load scheduling optimization target considering the reserve capacity benefits, and obtaining an agricultural greenhouse temperature control cost minimization model;
wherein C represents the greenhouse temperature control cost;is the surface area of the ground in the greenhouse; />The electricity expense of the temperature control equipment is spent for controlling the temperature in the unit area of the kth period; />The upper reserve capacity benefit is obtained when the temperature is controlled in the unit area of the kth period;lower spare capacity benefit when controlling temperature in unit area of kth period; />Representing the price of the electric quantity; />、/>The upper spare capacity price and the lower spare capacity price are respectively; />For the upper reserve capacity of the kth period, < > for>For the lower reserve capacity of the kth period, < > for>,/>And (5) the maximum power which can be actually operated for the temperature control equipment in the kth period.
In order to further explain the method, the method is applied to the participation of a single-stage greenhouse temperature control device in the standby scheduling of a power system, the parameter setting of simulation calculation examples is shown in tables 1-3, wherein, table 2 takes the real-time electricity price of PJM spot market at a certain day 2021, the currency unit is converted into RMB according to 1:7, and the upper and lower standby capacity prices are set
Table 1 simulation example parameter settings
TABLE 2 electric quantity price and upper and lower reserve capacity price settings
TABLE 3 solar radiation on a certain day and outdoor temperature setting
When the method does not participate in standby, the daily energy cost of the load of the greenhouse temperature control equipment is 59270.7 yuan, and after the method participates in standby, the overall energy cost is reduced to 46946.2 yuan; the corresponding temperature-controlled load power curves are shown in fig. 2, and the upper and lower spare capacity curves are shown in fig. 3.
In summary, the method reduces the energy cost of the greenhouse temperature control equipment load by utilizing the electricity flexibility of the greenhouse temperature control equipment load.
The foregoing is merely a preferred embodiment of the present invention, and is not intended to limit the present invention, and all equivalent variations using the description and drawings of the present invention are within the scope of the present invention.

Claims (7)

1. The agricultural greenhouse temperature control load regulation and control method considering the standby capability is characterized by comprising the following steps of:
step 1, determining quantitative relation constraint of load power of greenhouse temperature control facilities and heat generated by the temperature control facilities;
step 2, determining quantitative relation constraint of heat generated by a temperature control facility and indoor temperature of a greenhouse;
step 3, determining the power constraint of greenhouse temperature control equipment;
step 4, determining interval constraint of temperature in the greenhouse;
step 5, determining the temperature accumulation constraint of the temperature in the greenhouse;
and step 6, based on all constraints, providing a greenhouse temperature control equipment load scheduling optimization target considering the reserve capacity benefits, and obtaining an agricultural greenhouse temperature control minimization cost model.
2. The method for controlling temperature and load of agricultural greenhouse considering spare capacity according to claim 1, wherein the time period of one day is as followsDivided into nAnd freezing the time-varying changes of the operating load of the greenhouse temperature control equipment in the delta t in a time period with the length delta t, wherein the minimum model of the operating cost of the greenhouse temperature control equipment considering the standby benefits is as follows:
wherein P (k) represents the actual power of the device when the unit area of the kth period is controlled in temperature; c represents the greenhouse temperature control cost;is the surface area of the ground in the greenhouse; />The electricity expense of the temperature control equipment is spent for controlling the temperature in the unit area of the kth period; />The upper reserve capacity benefit is obtained when the temperature is controlled in the unit area of the kth period; />Lower spare capacity benefit when controlling temperature in unit area of kth period; />Representing the price of the electric quantity; />、/>The upper spare capacity price and the lower spare capacity price are respectively; />For the upper reserve capacity of the kth period, < > for>;/>For the lower spare capacity of the kth period,,/>and (5) the maximum power which can be actually operated for the temperature control equipment in the kth period.
3. The method for controlling temperature-controlled load of agricultural greenhouse considering spare capacity according to claim 2, wherein the quantitative relation constraint of the load power of the greenhouse temperature-controlled facility and the heat generated by the temperature-controlled facility is:
wherein ,the heating load of the greenhouse in unit area in the kth period, namely the total energy required by heating in unit area; />The energy efficiency ratio of a heat pump, i.e. the amount of heat that can be released per unit of electrical energy input, is indicated.
4. The method for controlling temperature and load of agricultural greenhouse considering spare capacity according to claim 2, wherein the quantitative relation constraint of heat generated by temperature control facilities and indoor temperature of greenhouse is:
wherein ,conducting the lost heat load through the cover layer for the kth period of time; />Representing the heat load of solar radiation brought into the greenhouse during the kth period; u is the effective heat transfer coefficient; />Representing the specific greenhouse shell area->Is the total area of roof and side wall>Represents the surface area of the earth in the greenhouse; t (k) represents the temperature of the greenhouse in the kth period; />Representing a kth period outdoor temperature; />Indicating the positive of the greenhouseThe proportion of solar radiation entering the greenhouse to be converted into latent heat under normal operating conditions; />Indicating the light transmittance of the greenhouse; />Representing reflectivity based on illumination inside the greenhouse; />Is the kth period of solar radiation.
5. The agricultural greenhouse temperature control load control method considering spare capacity according to claim 2, wherein the power constraint of the greenhouse temperature control device is:
wherein ,indicating the rated power of the temperature control equipment; />Representing the power of the temperature control device when the kth period reaches the bearable limit temperature of the plant; />Representing a greenhouse heating heat load when the kth period reaches a limit temperature bearable by plants; />The greenhouse, when reaching the limit temperature that the plants can bear for the kth period, conducts the lost heat through the cover layer; />Representing the heat load of solar radiation brought into the greenhouse during the kth period;is the maximum temperature suitable for the growth of crops, +.>Indicating the kth period outdoor temperature.
6. The method for controlling temperature and load of agricultural greenhouse considering spare capacity according to claim 2, wherein the interval constraint of temperature in the greenhouse is:
wherein ,represents the kthThe preset point of temperature control of the greenhouse in each period of time is generally ignored,;/>and->The maximum temperature and the minimum temperature set for the kth period are respectively; t (T) max And T is min The maximum temperature and the minimum temperature which are suitable for the growth of crops are respectively provided.
7. The method for controlling temperature and load of agricultural greenhouse considering spare capacity according to claim 2, wherein the temperature constraint of the temperature in the greenhouse is:
wherein ,a preset point representing the greenhouse temperature control in the kth period,/->The average temperature is expected for daytime; />An average temperature is desired for the night; />For the start period of the daytime period, +.>Is the end of the daytime period, thus within one dayThe rest of the time period is night time period.
CN202310930606.4A 2023-07-27 2023-07-27 Agricultural greenhouse temperature control load regulation and control method considering standby capability Active CN116667342B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202310930606.4A CN116667342B (en) 2023-07-27 2023-07-27 Agricultural greenhouse temperature control load regulation and control method considering standby capability
PCT/CN2024/070725 WO2024125663A1 (en) 2023-07-27 2024-01-05 Agricultural greenhouse temperature control load regulation and control method taking standby capability into consideration

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310930606.4A CN116667342B (en) 2023-07-27 2023-07-27 Agricultural greenhouse temperature control load regulation and control method considering standby capability

Publications (2)

Publication Number Publication Date
CN116667342A true CN116667342A (en) 2023-08-29
CN116667342B CN116667342B (en) 2023-10-03

Family

ID=87720917

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310930606.4A Active CN116667342B (en) 2023-07-27 2023-07-27 Agricultural greenhouse temperature control load regulation and control method considering standby capability

Country Status (2)

Country Link
CN (1) CN116667342B (en)
WO (1) WO2024125663A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024125663A1 (en) * 2023-07-27 2024-06-20 南京邮电大学 Agricultural greenhouse temperature control load regulation and control method taking standby capability into consideration

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140006196A (en) * 2012-06-27 2014-01-16 이형철 Temperature control device of inner side of facility house
CN108613332A (en) * 2018-04-12 2018-10-02 南京信息工程大学 A kind of energy-saving building film micro area personnel interactive mode hot comfort adjusting method
CN112068436A (en) * 2020-09-16 2020-12-11 国网山东省电力公司经济技术研究院 Layered and distributed control method and system for comprehensive energy system of industrial park
CN113128767A (en) * 2021-04-21 2021-07-16 国网新疆电力有限公司电力科学研究院 Method for minimizing load operation cost of agricultural irrigation pump by considering standby income
CN114357782A (en) * 2022-01-06 2022-04-15 南京邮电大学 Comprehensive energy system optimization scheduling method considering carbon source sink effect
CN114881306A (en) * 2022-04-25 2022-08-09 国网山东省电力公司青岛供电公司 Agricultural energy internet operation optimization method and system considering greenhouse load regulation
CN115528689A (en) * 2022-11-28 2022-12-27 南京邮电大学 Agricultural greenhouse spare capacity assessment method considering light supplement requirement

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115186902A (en) * 2022-07-12 2022-10-14 国网河北能源技术服务有限公司 Regulating and controlling method, device, terminal and storage medium of greenhouse comprehensive energy system
CN116107206A (en) * 2022-10-20 2023-05-12 国网甘肃省电力公司电力科学研究院 Greenhouse equipment control method
CN116667342B (en) * 2023-07-27 2023-10-03 南京邮电大学 Agricultural greenhouse temperature control load regulation and control method considering standby capability

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20140006196A (en) * 2012-06-27 2014-01-16 이형철 Temperature control device of inner side of facility house
CN108613332A (en) * 2018-04-12 2018-10-02 南京信息工程大学 A kind of energy-saving building film micro area personnel interactive mode hot comfort adjusting method
CN112068436A (en) * 2020-09-16 2020-12-11 国网山东省电力公司经济技术研究院 Layered and distributed control method and system for comprehensive energy system of industrial park
CN113128767A (en) * 2021-04-21 2021-07-16 国网新疆电力有限公司电力科学研究院 Method for minimizing load operation cost of agricultural irrigation pump by considering standby income
CN114357782A (en) * 2022-01-06 2022-04-15 南京邮电大学 Comprehensive energy system optimization scheduling method considering carbon source sink effect
CN114881306A (en) * 2022-04-25 2022-08-09 国网山东省电力公司青岛供电公司 Agricultural energy internet operation optimization method and system considering greenhouse load regulation
CN115528689A (en) * 2022-11-28 2022-12-27 南京邮电大学 Agricultural greenhouse spare capacity assessment method considering light supplement requirement

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024125663A1 (en) * 2023-07-27 2024-06-20 南京邮电大学 Agricultural greenhouse temperature control load regulation and control method taking standby capability into consideration

Also Published As

Publication number Publication date
CN116667342B (en) 2023-10-03
WO2024125663A1 (en) 2024-06-20

Similar Documents

Publication Publication Date Title
CN109523052B (en) Virtual power plant optimal scheduling method considering demand response and carbon transaction
CN110365013B (en) Capacity optimization method of photo-thermal-photovoltaic-wind power combined power generation system
CN116667342B (en) Agricultural greenhouse temperature control load regulation and control method considering standby capability
CN111400641A (en) Day-ahead optimal scheduling method for comprehensive energy system containing heat accumulation type electric heating
CN108280556B (en) Power supply quantity two-stage optimization scheduling method based on thermal load adjustment
CN107565613B (en) A kind of photo-thermal power station Optimization Scheduling a few days ago considering electric power assisted hatching
CN110807588B (en) Optimized scheduling method of multi-energy coupling comprehensive energy system
CN106593771A (en) Power-heat decoupling system in heat-power cogeneration system and control method thereof
CN113592200B (en) Low-carbon optimized operation method for regional comprehensive energy system of water-containing source heat pump
CN115857348A (en) Distributed energy system capacity optimization method considering comfortable energy supply of two-combined heat pump
CN114462724A (en) Park aggregator double-layer optimization scheduling method considering multi-energy price incentive comprehensive demand response model
CN113537618B (en) Comprehensive energy system optimization scheduling method considering resident user demand response
CN109376406B (en) Energy supply system superstructure model, modeling method, computer device and storage medium
CN108155644B (en) Dynamic heat supply system and power system coupling scheduling method considering auxiliary service
CN110119850B (en) Heat storage amount two-stage optimization scheduling method based on photo-thermal power generation adjustment
CN110783917A (en) Configuration method of multi-energy hub containing new energy consumption
CN110570010A (en) Energy management method of distributed system containing heat storage device
CN114282708B (en) Cross-region comprehensive energy system optimization operation method and system considering multi-scale demand response
CN109190988B (en) Demand side response game method for realizing optimal coordination of temperature control load
CN115470963A (en) Optimized operation method for virtual energy storage of load based on electricity price
CN112682841B (en) Indoor temperature control method and control device for electric and thermal comprehensive heating
CN212784787U (en) Renewable energy comprehensive utilization system of sewage plant
CN114881306A (en) Agricultural energy internet operation optimization method and system considering greenhouse load regulation
CN107563547A (en) A kind of novel user side energy depth Optimum Synthesis energy management-control method
CN111817340A (en) Renewable energy comprehensive utilization system of sewage plant

Legal Events

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