CN113887079A - Air source heat pump control method and system considering uncertainty of new energy power generation - Google Patents
Air source heat pump control method and system considering uncertainty of new energy power generation Download PDFInfo
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Abstract
The invention provides an air source heat pump control method and system considering uncertainty of new energy power generation, comprising the following steps of: collecting the outdoor temperature and the indoor temperature of a building; determining the adjustable load capacity of the air source heat pump load model based on the building outdoor temperature and the indoor initial temperature; based on the adjustable load capacity of the air heat source pump load model, determining an optimization objective function of the operating cost of the air heat source pump load model by taking the minimum operating cost of the air heat source pump load model as a target; and optimizing an objective function according to the running cost of the air source heat pump load model, obtaining control parameters of the air source heat pump load model, and controlling the running state of the air source heat pump. The method and the system utilize the heat storage/cold storage characteristics of the air source heat pump load, realize the accurate regulation and control of the air source heat pump load according to the peak-valley electricity price and the spot market subsidy policy, and ensure that the load electricity consumption in the operation period is the lowest, thereby ensuring the lowest electricity expense and reducing the heating/cooling cost.
Description
Technical Field
The disclosure belongs to the technical field of air source heat pump control, and particularly relates to an air source heat pump control method and system considering uncertainty of new energy power generation.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The nation proposes strategic targets of 'carbon peak reaching' and 'carbon neutralization' and constructs a novel power system taking new energy as a main body. Under the background, domestic new energy is increased explosively, and new energy power generation is gradually increased in a power supply structure. The power system needs to keep power generation and load balance in real time during operation, the uncertainty of new energy power generation is strong, the power grid power balance control mode of the traditional power supply load tracking is challenged, and along with the nearly exhausted peak regulation resources of the conventional thermal power generating unit, the power grid is forced to adopt measures of arranging a large-capacity thermal power generating unit to start and stop frequently in the day, abandoning wind and light in a time period and the like to relieve the peak regulation pressure of the power grid. Therefore, the load regulation and control capability needs to be excavated to promote the absorption and utilization of renewable energy sources such as wind power and photovoltaic.
The air source heat pump load has the advantages of environmental protection, energy conservation, safety, convenience, low operation cost, wide application range and the like, and becomes a heating/cooling mode with wide application prospect. The air source heat pump heats water into hot/cold water at 50 deg.c/7 deg.c, and the hot/cold water is pumped via water pump to rooms for heat exchange with indoor air. Because water and a building have heat storage/cold capacity and a large thermal inertia time constant, the load electric power of the air source heat pump is adjusted in a short time, so that the thermal comfort of the building is not obviously influenced, the heat storage/cold capacity of the building and a water circulation system is fully utilized, the load output curve of the heat pump is optimized according to peak-valley electricity price and the load regulation and control subsidy policy of the electric power spot market, and the heat supply/cold load electricity cost of the air source heat pump is reduced.
The load optimization operation of the air source heat pump needs to comprehensively consider the uncertainty of new energy power generation and the peak-valley electricity price. At the present stage, the principle of calling the air source heat pump load by the spot market is to prevent wind and light abandonment when wind power and photovoltaic are in heavy traffic, call the air source heat pump load for multiple purposes, and subsidize the multiple purposes (for example, the current subsidy of Shandong power grid is 0.4 yuan/kilowatt hour). The new energy power generation has uncertainty, so the load calling of the air source heat pump in the spot market also has uncertainty; that is, on the premise that the load call uncertainty of the air heat source pump in the spot market is the uncertainty of the new energy power generation, how to subsidize policies according to the peak-valley electricity price and the load regulation of the electric power spot market, and considering the uncertainty of the new energy power generation, the air heat source pump is controlled to have the lowest running load under the condition of ensuring normal use.
Disclosure of Invention
In order to solve the problems, the air source heat pump control method and system considering the uncertainty of new energy power generation are provided, the air source heat pump load is optimally regulated and controlled by utilizing the heat storage/cold characteristics of the air source heat pump load according to the peak-valley electricity price and the spot market subsidy policy, the load electricity consumption in the operation period is the lowest, the electricity cost is the lowest, and the heating/cooling cost is reduced.
According to some embodiments, a first aspect of the present disclosure provides an air source heat pump control method considering uncertainty of new energy power generation, which adopts the following technical solutions:
an air source heat pump control method considering uncertainty of new energy power generation comprises the following steps:
collecting the outdoor temperature and the indoor temperature of a building;
determining the adjustable load capacity of the air source heat pump load model based on the building outdoor temperature and the indoor initial temperature;
based on the adjustable load capacity of the air heat source pump load model, determining an optimization objective function of the operating cost of the air heat source pump load model by taking the minimum operating cost of the air heat source pump load model as a target;
and optimizing an objective function according to the running cost of the air source heat pump load model, obtaining control parameters of the air source heat pump load model, and controlling the running state of the air source heat pump.
Further, the determining the adjustable load capacity of the air source heat pump load model based on the building outdoor temperature and the indoor initial temperature comprises:
describing the indoor average temperature change by using a thermal space model;
determining the change relation of the return water temperature of the air source heat pump along with time according to a first law of thermodynamics based on indoor average temperature change data;
determining the change relation of the outlet water temperature of the air source heat pump along with time according to a first law of thermodynamics based on indoor average temperature change data;
determining the heating/cooling capacity of the air source heat pump by utilizing the change relationship of the return water temperature of the air source heat pump along with time and the change relationship of the outlet water temperature of the air source heat pump along with time;
and determining the adjustable load capacity of the air source heat pump load model based on the heating/cooling capacity of the air source heat pump.
Further, the determining an air source heat pump load model operation cost optimization objective function based on the adjustable load capacity of the air source heat pump load model and with the aim of minimizing the air source heat pump load model operation cost comprises:
determining the running cost of the air source heat pump load model participating in the auxiliary service market in the adjustable capacity of the air source heat pump load model based on the peak-valley motor and the electric auxiliary market subsidy;
and determining an air source heat pump load model operation cost optimization objective function by taking the minimum operation cost of the air source heat pump load model participating in the auxiliary service market as a target.
Further, the determining the operating cost of the air source heat pump load model participating in the auxiliary service market within the adjustable capacity of the air source heat pump load model based on the peak-to-valley motor and the power-assisted market subsidy comprises:
suppose M periods [ Δ T1,ΔT2,…,ΔTM]The possibility of new energy is high, and the probability distribution of the occurrence is [ p ]1,p2,…,pM]If called, the subsidy cost of the power assistance service market is [ ρ [ ]1,ρ2,…,ρM]The air source heat pump load operating cost is subsidized based on the peak-valley electricity price and the power auxiliary service market as follows:
(1) load aggregators proposed that air source heat pump loads participate in the ancillary services market for 1 period:
period 1:
wherein, F1,1Representing 1 time period, the 1 st time period loading the cost of participating in the auxiliary service market;
representing the minimum running cost of the time period, which is called only considering the peak valley electricity price;
representing the minimum operating cost during which only peak-to-valley electricity prices are not invoked is considered for the time period;
assume that the mth slot participates in the auxiliary service market:
period m:
(2) the load aggregation plans to have the air source heat pump load participate in the auxiliary service market for 2 periods:
wherein, F2,1-2Representing the 2 time periods, the 1 st and 2 nd time periods load the costs of participating in the auxiliary service market;
minimum operation representing that only peak-to-valley electricity prices are considered for this period of time to be calledA cost;
the minimum running cost of not calling the peak valley electricity price is only considered in the time period;
the minimum running cost that shows that only peak valley electricity prices are considered in the period, one is called, and the other is not called;
assume that the mth and nth time periods participate in the auxiliary service market:
period m and period n:
(3) the load aggregation plans to have the air source heat pump load 3,4, …, M time slots participating in the auxiliary service market,
the minimum cost for subsidizing the operation of the air source heat pump load model to participate in the auxiliary market based on the peak-valley electricity price and the power auxiliary service market is as follows:
F＝min{FP-V,F1,1,…F1,M,F2,1-2,…,F2,(M-1)-M,…}
that is, take the minimum value in all the enumeration costs;
and determining the minimum load capacity of the air source heat pump load model based on the minimum running cost, obtaining the control parameters of the air source heat pump load model, and controlling the running state of the air source heat pump.
Further, based on the adjustable load capacity of the air source heat pump load model, according to the peak-valley electricity price and with the lowest operation cost of the air source heat pump load model as a target, an air source heat pump load model operation cost optimization objective function considering only the peak-valley electricity price is established, and specifically, the method comprises the following steps:
in the formula, FP-VIn order to consider the peak-valley electricity price total charge of the load of the air source heat pump; t is the number of equally divided time periods in one cycle; pHPj(t) is the power of the air source heat pump, and the power is zero when the non-variable frequency heat pump unit is switched on and is switched off at rated power; c (t) is the time-of-use electricity price; t is the time period.
Further, the constraint condition of the air source heat pump load model operation cost optimization objective function only considering peak-valley electricity price is as follows:
(1) indoor temperature restraint
Tmin≤Ti≤Tmax，
In the formula: t ismax、TminRespectively the highest and low temperature limits of the indoor temperature of the building;
(2) the relation between the indoor temperature of the building and the power of the air source heat pump group.
According to some embodiments, a second aspect of the present disclosure provides an air source heat pump control system considering uncertainty of new energy power generation, which adopts the following technical solutions:
an air source heat pump peak shaving method system considering uncertainty of new energy power generation comprises the following steps:
the data acquisition module is configured to acquire the outdoor temperature and the indoor temperature of the building;
a data processing module configured to determine an adjustable load capacity of the air source heat pump load model based on the building outdoor temperature and the indoor initial temperature;
the operation optimization module is configured to determine an air source heat pump load model operation cost optimization objective function based on the adjustable load capacity of the air source heat pump load model and with the aim of minimizing the air source heat pump load model operation cost;
and the control module is configured to obtain the control parameters of the air source heat pump load model according to the air source heat pump load model operation cost optimization objective function, and control the operation state of the air source heat pump.
According to some embodiments, a third aspect of the present disclosure provides a computer-readable storage medium.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of a method of air source heat pump control taking into account uncertainty of new energy generation as described in the first aspect above.
According to some embodiments, a fourth aspect of the present disclosure provides a computer device.
A computer apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor when executing the program implementing the steps in a method of air source heat pump control taking into account uncertainty of new energy generation as described in the first aspect above.
Compared with the prior art, the beneficial effect of this disclosure is:
the method comprises the steps of utilizing the heat storage/cooling characteristic of the air source heat pump load, realizing accurate regulation and control of the air source heat pump load according to the peak-valley electricity price and the spot market subsidy policy, and enabling the load electricity consumption in the operation period to be the lowest, so that the electricity cost is the lowest, and the heating/cooling cost is reduced;
the air source heat pump building load model accurately describes the relation between energy and temperature, and is the basis for realizing an optimized scheduling model, namely, the optimized scheduling can not be realized without the model; the peak-to-valley electricity prices are considered, and subsidies of the auxiliary service market being (probabilistically) invoked are considered, so that the user's profit is maximized.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
FIG. 1 is a flow chart of an air source heat pump control method in an embodiment of the disclosure that takes into account new energy generation uncertainty;
FIG. 2 is a schematic diagram of the operation of an air-source heat pump in an embodiment of the disclosure;
FIG. 3 is a schematic diagram of the heating/cooling operation of the load model of the air source heat pump in the embodiment of the present disclosure;
FIG. 4 is a peak-to-valley electricity price diagram of the Shandong grid in an embodiment of the disclosure;
FIG. 5 is a schematic illustration of an air-source heat pump operation based on peak-to-valley electricity prices and spot market subsidies in an embodiment of the present disclosure;
fig. 6 is a block diagram of an air source heat pump load participating in an electric power service market in an embodiment of the disclosure.
The specific implementation mode is as follows:
the present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
In the present disclosure, terms such as "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "side", "bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only relational terms determined for convenience in describing structural relationships of the parts or elements of the present disclosure, and do not refer to any parts or elements of the present disclosure, and are not to be construed as limiting the present disclosure.
The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
Example one
As shown in fig. 1, the present embodiment provides an air source heat pump control method considering uncertainty of new energy power generation, and the present embodiment is exemplified by applying the method to a server, it is understood that the method may also be applied to a terminal, and may also be applied to a system including a terminal and a server, and implemented by interaction between the terminal and the server. The server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a network server, cloud communication, middleware service, a domain name service, a security service CDN, a big data and artificial intelligence platform, and the like. The terminal may be, but is not limited to, a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, and the like. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the disclosure is not limited thereto. In this embodiment, the method includes the steps of:
collecting the outdoor temperature and the indoor temperature of a building;
determining the adjustable load capacity of the air source heat pump load model based on the building outdoor temperature and the indoor initial temperature;
based on the adjustable load capacity of the air heat source pump load model, determining an optimization objective function of the operating cost of the air heat source pump load model by taking the minimum operating cost of the air heat source pump load model as a target;
and optimizing an objective function according to the running cost of the air source heat pump load model, obtaining control parameters of the air source heat pump load model, and controlling the running state of the air source heat pump.
1 air source heat pump load working principle
1.1 basic operating principle
1.1.1 working principle of air source heat pump
The working principle of the air source heat pump is shown in fig. 2, and the principle analysis is performed by taking the heating operation state as an example.
The refrigerant absorbs heat energy in the air and enters a heat pump compressor, and the compressor converts low-temperature and low-pressure gaseous refrigerant into high-pressure and high-temperature gaseous refrigerant to heat hot water. The high-pressure gaseous refrigerant is cooled and condensed into liquid at normal temperature, and the heat emitted further heats the hot water. The high-pressure liquid refrigerant is decompressed through the expansion valve and returns to the temperature lower than the outside. The low-temperature low-pressure liquid refrigerant absorbs heat energy in the air through an air heat exchanger (evaporator) to be evaporated, the liquid refrigerant is converted into a gas state from the liquid state, the gas state returns to the temperature lower than the environment, and the heat energy in the air is absorbed and then is sucked and compressed by a compressor. The steps are repeated in such a way: continuously absorbing heat from the air, and releasing heat in the water side heat exchanger to produce hot water. The heat energy compressed and converted by the air source heat pump compressor and the heat energy absorbed by the refrigerant from the air are used for heating water, and the heat energy which is 4-6 times more than the electric energy consumed by the compressor can be obtained.
1.1.2 air source heat pump heating/cooling principle
According to the scale of the heating/cooling building, a plurality of heat pump units are generally selected to be connected in parallel for heating/cooling (water), and the heat/cooling (water) is circulated to the building room through a water pump for heating/cooling, as shown in fig. 3. On the basis of an accurate air source heat pump load model, the temperature of each room in a building can be accurately controlled through an intelligent control algorithm, namely, outdoor temperature, humidity, wind speed, illumination, heat preservation characteristics of the building and other environmental and meteorological data are collected in real time, the starting number of the air source heat pumps is automatically calculated and controlled, working condition changes in the operation process of the air source heat pumps are matched, and the purpose of accurately adjusting the indoor temperature of a user is achieved.
Accurate indoor temperature control can promote user's heat/cold comfort level, save the cost of the charges of electricity, can make full use of peak valley price of electricity and electric power auxiliary service market subsidy policy even, greatly reduced operation cost. And an accurate air source heat pump load model is the basis of accurate indoor temperature control.
1.2 air source heat pump load model
The heating/cooling efficiency of the air source heat pump j, i.e. the relationship between the electric power of the air source heat pump and the heating/cooling capacity, can be expressed as:
Pej＝copjQHPj (1)
in the formula: pejAnd QHPjRespectively representing the electricity of an air-source heat pump jPower and heating/cooling capacity; copjThe heating/cooling energy ratio represents the heating/cooling capacity of the air source heat pump load j under the unit power.
According to the first law of thermodynamics, the change of the outlet water temperature of the air source heat pump with time t can be expressed as:
in the formula: t iseRepresents the temperature (DEG C) of the water pumped out by the air source heat pump; ceRepresenting the heat capacity (J/DEG C) of the outlet water of the air source heat pump; kwCv is the thermal conductance (W/° c) of hot/chilled water; c is the specific heat capacity of hot/chilled water (J/. degree. C.kg); v is the flow rate of hot/chilled water (kg/s); sjShowing the start-stop state of the heat pump j: 1 when opening and 0 when closing; and N represents the number of the non-variable frequency heat pump units.
According to the first law of thermodynamics, the change of the return water temperature of the air source heat pump along with the time t can be expressed as follows:
in the formula: t isbRepresents the return water temperature (DEG C) of the air source heat pump; cbRepresenting the backwater heat capacity (J/DEG C) of the air source heat pump; qexIs the heat exchange power (W) of the hot/chilled water with the room.
The heat/chilled water and the chilled water in the tail end room exchange heat with indoor heat to meet the following conditions:
Qex＝Kair-water(Ti-Te) (4)
in the formula: t isiIs the average indoor temperature (. degree. C.); kair-waterIs the heat transfer thermal conductance (W/deg.C).
The indoor average temperature variation can be described by a thermal space model:
in the formula: kairAnd CairThermal conductance (W/deg.C) and thermal capacity (J/deg.C) of the respective end rooms; t isoIs the outdoor temperature (. degree. C.).
2 air source heat pump optimization operation model based on peak-valley electricity price and spot market subsidy
2.1 optimized operation of air source heat pump based on peak-to-valley electricity prices and spot market subsidies
2.1.1 peak-to-valley electricity price-based air source heat pump load optimization operation
In order to improve the utilization efficiency of energy and the utilization rate of power equipment, a peak-valley electricity price system is adopted for carrying out peak clipping and valley filling on a load curve. The high-price charging is adopted during the peak of the electricity utilization, the low-price charging is adopted during the valley of the electricity utilization, the economic leverage of the price is exerted, the electricity utilization time is staggered by the electricity utilization unit, and the purpose of peak clipping and valley filling is achieved. Most areas in China execute a peak-valley electricity price system, and according to the notice of perfecting a time-of-use electricity price mechanism in 2021 by the national development committee, the maximum system peak-valley difference rate is predicted to exceed 40% in the last year or in the current year, the peak-valley electricity price difference is not lower than 4:1 in principle, and the peak-valley electricity price difference is not lower than 3:1 in principle in other places. Taking the Shandong power grid as an example, the peak-to-valley electricity prices are shown in FIG. 4.
The heat storage/cold energy of the air source heat pump is fully utilized, the off-peak power utilization is realized, and the electricity cost can be saved. When the system is in a valley electricity period, the power consumption of the air source heat pump load is improved, and electric energy is converted into heat energy to be stored in a building and a water system; when the load is in the peak power period, the power consumption of the air source heat pump load is reduced, and the stored heat energy is released. Under the condition of small-range change of indoor temperature, the cost of electricity consumption of the load of the air source heat pump can be saved.
2.1.2 air source heat pump load optimization operation based on electric power assisted service market
In order to play a decisive role of the market in resource allocation, ensure the safe, stable and economic operation of a power system and promote the consumption of clean energy such as wind power and photovoltaic power generation, adjustable resources such as virtual power plants (load aggregation) are provided in various places to participate in an excitation mechanism for compensated peak shaving. Namely, the user side resource participates in the peak shaving of the power grid, and the corresponding subsidy can be obtained.
An air source heat pump load optimization operation framework based on an electric power auxiliary service market is shown in fig. 6 and is divided into four parts, namely an equipment layer, a control layer, a polymerization layer and a market layer.
The equipment layer collects the operation information of the single pump and controls the single pump to be in the optimal energy efficiency operation state. The control layer collects information such as outdoor temperature, indoor temperature, humidity, wind speed and illumination, realizes accurate tracking and control of water temperature, and receives and executes control instructions of the polymerization layer. And the aggregation layer reports the estimated adjustable capacity and the adjusted cost of the air source heat pump, and an optimized regulation instruction of the air source heat pump is formulated according to a control signal of the electric power auxiliary service market, so that the operation cost of the air source heat pump is the lowest on the premise of not influencing the power utilization comfort level of a user. And in the market layer, the power regulation and control center formulates an air source heat pump load optimization control instruction according to the power auxiliary service market rule and other adjustable resources.
2.2 air source heat pump load optimization operation model
2.2.1 problem analysis
The load optimization operation of the air source heat pump needs to comprehensively consider the uncertainty of new energy power generation and the peak-valley electricity price.
At the present stage, the principle of calling the air source heat pump load by the spot market is to prevent wind and light abandonment when wind power and photovoltaic are in heavy traffic, call the air source heat pump load for multiple purposes, and subsidize the multiple purposes (for example, the current subsidy of Shandong power grid is 0.4 yuan/kilowatt hour). The new energy power generation has uncertainty, so the load call of the air source heat pump in the spot market also has uncertainty. The air source heat pump load needs to combine the peak-to-valley electricity prices with the probability of being called by the spot market to determine the best heat pump operation, as shown in fig. 5.
1) Considering peak-to-valley electricity prices only
Suppose [0, t3]And all the air source heat pumps are completely started to store heat/cold in a time range, namely when the electricity price is at the lowest peak. [ t ] of3,t5]Within the time range, all air source heat pumps are closed, the stored heat/cold quantity can be released, the heating/cooling requirements can be met, and the optimal operation effect of saving electric charges can be achieved.
2) Subsidy considering new energy power generation uncertainty in spot market
Suppose [ t1,t2]Within the time range, the probability of wind power large generation (namely that the load of the air source heat pump is called by the auxiliary service market for subsidy) is p. If the air source heat pump load optimization operation only considers peak-to-valley electricity prices, [ t [ [ t ]1,t2]The heat pumps are all started within the time range, no peak regulation allowance exists, and spot market subsidies cannot be earned. To minimize the cost of electricity charges, at t1,t2]And (when the regulation margin of the load aggregation layer is reported), the heat pump is completely stopped.
(1) If invoked, a subsidy may be earned more than just considering peak-to-valley electricity prices: 0.4 yuan/kilowatt hour x PGeneral assembly×(t1-t2)。
(2) If not, the heat pump is completely started and arranged at t3,t4]In the time range, more electricity cost is needed: (0.6626-0.3249) yuan/kwh × PGeneral assembly×(t1-t2)。
In summary, the income considering the uncertainty of new energy in the spot market is: 0.4 yuan/kilowatt hour x PGeneral assembly×(t1-t2) Xp- (0.6626-0.3249) units/kilowatt-hour XPGeneral assembly×(t1-t2)×(1-p)。
2.2.2 mathematical model
1) Considering peak-to-valley electricity prices only
The peak-valley electricity price-based air source heat pump load optimization operation model pursues that the total cost of electricity in the operation process of the air source heat pump is the lowest.
The objective function for optimizing the heat pump operation model is as follows:
in the formula, FP-VIn order to consider the peak-valley electricity price total charge of the load of the air source heat pump; t is the number of equally divided time periods in one cycle; pHPj(t) is the power of the air source heat pump, and is the rated power when the non-variable frequency heat pump unit is started and is closedThe power is zero; c (t) is the time-of-use electricity price; t is the time period.
The constraint conditions are as follows:
(1) indoor temperature restraint
Tmin≤Ti≤Tmax (7)
In the formula: t ismax、TminRespectively the highest and low temperature limits of the indoor temperature of the building.
(2) The relation between the indoor temperature of the building and the power of the air source heat pump group is as shown in the formulas (1) to (5).
2) Subsidy considering new energy power generation uncertainty in spot market
Suppose M periods [ Δ T1,ΔT2,…,ΔTM]The possibility of new energy is high, and the probability distribution of the occurrence is [ p ]1,p2,…,pM]If called, the subsidy cost of the power assistance service market is [ ρ [ ]1,ρ2,…,ρM]The air source heat pump load operation cost is subsidized based on the peak-valley electricity price and the electric power auxiliary service market as follows:
(1) load aggregators proposed that air source heat pump loads participate in the ancillary services market for 1 period:
period 1:
wherein, F1,1Representing 1 time period, the 1 st time period loading the cost of participating in the auxiliary service market;
represents the minimum operating cost for which the time period is called (only peak-to-valley electricity prices are considered);
represents the minimum operating cost for which the time period is not invoked (only peak-to-valley electricity prices are considered);
assume that the mth slot participates in the auxiliary service market:
period m:
wherein, F2,1-2Representing the 2 time periods, the 1 st and 2 nd time periods load the costs of participating in the auxiliary service market;
represents the minimum operating cost (only peak-to-valley electricity prices are considered) for which the time period is called;
a minimum operating cost indicating that no time period has been called (only peak-to-valley electricity prices are considered);
represents a minimum running cost (only peak-valley electricity prices are considered) for one called and the other not called during the period;
assume that the mth and nth time periods participate in the auxiliary service market:
period m and period n:
(3) by analogy, the load aggregator plans to have the air source heat pump loads 3,4, … for M periods to participate in the auxiliary service market.
The minimum cost for subsidizing air source heat pump load operation based on peak-to-valley electricity prices and power-assisted service markets is as follows:
F＝min{FP-V,F1,1,…F1,M,F2,1-2,…,F2,(M-1)-M,…} (12)
the method comprises the steps of obtaining the minimum value of all enumerated expenses, determining the optimal load capacity of an air source heat pump load model based on the minimum operating expense, obtaining control parameters of the air source heat pump load model, and controlling the operating state of the air source heat pump.
Example two
The embodiment provides an air source heat pump control system considering uncertainty of new energy power generation, which comprises:
the data acquisition module is configured to acquire the outdoor temperature and the indoor temperature of the building;
a data processing module configured to determine an adjustable load capacity of the air source heat pump load model based on the building outdoor temperature and the indoor initial temperature;
the operation optimization module is configured to determine an air source heat pump load model operation cost optimization objective function based on the adjustable load capacity of the air source heat pump load model and with the aim of minimizing the air source heat pump load model operation cost;
and the control module is configured to obtain the control parameters of the air source heat pump load model according to the air source heat pump load model operation cost optimization objective function, and control the operation state of the air source heat pump.
EXAMPLE III
The present embodiment provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps in a method for controlling an air source heat pump considering uncertainty of new energy power generation as described in the first embodiment above.
Example four
The embodiment provides a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of the air source heat pump control method considering the uncertainty of new energy power generation as described in the first embodiment.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Although the present disclosure has been described with reference to specific embodiments, it should be understood that the scope of the present disclosure is not limited thereto, and those skilled in the art will appreciate that various modifications and changes can be made without departing from the spirit and scope of the present disclosure.
Claims (10)
1. An air source heat pump control method considering uncertainty of new energy power generation is characterized by comprising the following steps:
collecting the outdoor temperature and the indoor temperature of a building;
determining the adjustable load capacity of the air source heat pump load model based on the building outdoor temperature and the indoor initial temperature;
based on the adjustable load capacity of the air heat source pump load model, determining an optimization objective function of the operating cost of the air heat source pump load model by taking the minimum operating cost of the air heat source pump load model as a target;
and optimizing an objective function according to the running cost of the air source heat pump load model, obtaining control parameters of the air source heat pump load model, and controlling the running state of the air source heat pump.
2. The air source heat pump control method considering uncertainty of new energy power generation as claimed in claim 1, wherein the determining the adjustable load capacity of the air source heat pump load model based on the building outdoor temperature and the indoor initial temperature comprises:
describing the indoor average temperature change by using a thermal space model;
determining the change relation of the return water temperature of the air source heat pump along with time according to a first law of thermodynamics based on indoor average temperature change data;
determining the change relation of the outlet water temperature of the air source heat pump along with time according to a first law of thermodynamics based on indoor average temperature change data;
determining the heating/cooling capacity of the air source heat pump by utilizing the change relationship of the return water temperature of the air source heat pump along with time and the change relationship of the outlet water temperature of the air source heat pump along with time;
and determining the adjustable load capacity of the air source heat pump load model based on the heating/cooling capacity of the air source heat pump.
3. The method as claimed in claim 1, wherein the determining an air source heat pump load model operation cost optimization objective function based on the adjustable load capacity of the air source heat pump load model and with the objective of minimizing the air source heat pump load model operation cost comprises:
determining the running cost of the air source heat pump load model participating in the auxiliary service market in the adjustable capacity of the air source heat pump load model based on the peak-valley motor and the electric auxiliary market subsidy;
and determining an air source heat pump load model operation cost optimization objective function by taking the minimum operation cost of the air source heat pump load model participating in the auxiliary service market as a target.
4. The air source heat pump control method considering uncertainty of new energy generation according to claim 3, wherein determining the operating cost of the air source heat pump load model participating in the auxiliary service market within an adjustable capacity of the air source heat pump load model based on the peak-to-valley motor and the power auxiliary market subsidy comprises:
suppose M periods [ Δ T1,ΔT2,…,ΔTM]The possibility of new energy is high, and the probability distribution of the occurrence is [ p ]1,p2,…,pM]If called, the subsidy cost of the power assistance service market is [ ρ [ ]1,ρ2,…,ρM]The air source heat pump load operating cost is subsidized based on the peak-valley electricity price and the power auxiliary service market as follows:
(1) load aggregators proposed that air source heat pump loads participate in the ancillary services market for 1 period:
period 1:
wherein, F1,1Representing 1 time period, the 1 st time period loading the cost of participating in the auxiliary service market;
representing the minimum running cost of the time period, which is called only considering the peak valley electricity price;
representing the minimum operating cost during which only peak-to-valley electricity prices are not invoked is considered for the time period;
assume that the mth slot participates in the auxiliary service market:
period m:
(2) the load aggregation plans to have the air source heat pump load participate in the auxiliary service market for 2 periods:
period 1 and period 2:
wherein, F2,1-2Representing the 2 time periods, the 1 st and 2 nd time periods load the costs of participating in the auxiliary service market;
representing that only the minimum running cost of calling peak valley electricity prices is considered in the time period;
the minimum running cost of not calling the peak valley electricity price is only considered in the time period;
the minimum running cost that shows that only peak valley electricity prices are considered in the period, one is called, and the other is not called;
assume that the mth and nth time periods participate in the auxiliary service market:
period m and period n:
5. the air source heat pump control method considering uncertainty of new energy generation according to claim 4, wherein the determining of the operating cost of the air source heat pump load model participating in the auxiliary service market within the adjustable capacity of the air source heat pump load model based on the peak-to-valley motor and the power-assisted market subsidy further comprises:
(3) the load aggregation plans to have the air source heat pump load 3,4, …, M time slots participating in the auxiliary service market,
the minimum cost for subsidizing the operation of the air source heat pump load model to participate in the auxiliary market based on the peak-valley electricity price and the power auxiliary service market is as follows:
F＝min{FP-V,F1,1,…F1,M,F2,1-2,…,F2,(M-1)-M,…}
that is, take the minimum value in all the enumeration costs;
and determining the minimum load capacity of the air source heat pump load model based on the minimum running cost, obtaining the control parameters of the air source heat pump load model, and controlling the running state of the air source heat pump.
6. The air source heat pump control method considering the uncertainty of new energy power generation according to claim 3, wherein an air source heat pump load model operation cost optimization objective function considering only peak-valley electricity prices is established based on the adjustable load capacity of the air source heat pump load model and according to the peak-valley electricity prices with the aim of lowest operation cost of the air source heat pump load model, specifically:
in the formula, FP-VIn order to consider the peak-valley electricity price total charge of the load of the air source heat pump; t is the number of equally divided time periods in one cycle; pHPj(t) is the power of the air source heat pump, and the power is zero when the non-variable frequency heat pump unit is switched on and is switched off at rated power; c (t) is the time-of-use electricity price; t is the time period.
7. The air source heat pump control method considering the uncertainty of new energy power generation as claimed in claim 6, wherein the constraint condition of the air source heat pump load model operation cost optimization objective function considering only peak-to-valley electricity prices is as follows:
(1) indoor temperature restraint
Tmin≤Ti≤Tmax，
In the formula: t ismax、TminRespectively the highest and low temperature limits of the indoor temperature of the building;
(2) the relation between the indoor temperature of the building and the power of the air source heat pump group.
8. An air source heat pump control system considering uncertainty of new energy power generation, comprising:
the data acquisition module is configured to acquire the outdoor temperature and the indoor temperature of the building;
a data processing module configured to determine an adjustable load capacity of the air source heat pump load model based on the building outdoor temperature and the indoor initial temperature;
the operation optimization module is configured to determine an air source heat pump load model operation cost optimization objective function based on the adjustable load capacity of the air source heat pump load model and with the aim of minimizing the air source heat pump load model operation cost;
and the control module is configured to obtain the control parameters of the air source heat pump load model according to the air source heat pump load model operation cost optimization objective function, and control the operation state of the air source heat pump.
9. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the steps of a method for air-source heat pump control taking into account uncertainty of new energy generation according to any one of claims 1-7.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of a method of air source heat pump control taking into account uncertainty of new energy generation as claimed in any one of claims 1 to 7.
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| CN114935205A (en) * | 2022-07-27 | 2022-08-23 | 国网湖北省电力有限公司营销服务中心(计量中心) | Double-model optimized cooperative control method for multi-variable-frequency air conditioner |
| CN115437260A (en) * | 2022-11-10 | 2022-12-06 | 山东澳信供热有限公司 | Air source heat pump operation optimization method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114935205A (en) * | 2022-07-27 | 2022-08-23 | 国网湖北省电力有限公司营销服务中心(计量中心) | Double-model optimized cooperative control method for multi-variable-frequency air conditioner |
| CN115437260A (en) * | 2022-11-10 | 2022-12-06 | 山东澳信供热有限公司 | Air source heat pump operation optimization method and system |
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