CN110896224A - Thermoelectric cooperative scheduling system and method considering user difference and building thermal inertia - Google Patents
Thermoelectric cooperative scheduling system and method considering user difference and building thermal inertia Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/10—Photovoltaic [PV]
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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- Y—GENERAL 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
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
Abstract
The invention discloses a thermoelectric cooperative scheduling system and method considering user difference and building thermal inertia, wherein the method comprises the following steps: a cogeneration unit and a photovoltaic generator unit connected by a power cable network; a user heat consumption unit connected with the cogeneration unit; the energy storage device is used for storing heat at the source end; the first remote centralized controller and the second remote centralized controller are respectively used for controlling and managing the cogeneration unit and the photovoltaic generator set; a third remote centralized controller for controlling the management of the consumer thermal units. According to the invention, the user load difference is considered to the dispatching system, different dispatching controls are carried out according to users without conditions, the control precision of the system is improved, the building thermal inertia is fully considered to excavate the user load difference and the potential power regulation capability which can be provided, the flexibility of cogeneration is improved, the consumption capability of renewable energy sources is improved, and the heat supply energy consumption is reduced.
Description
Technical Field
The invention relates to the technical field of power system analysis, in particular to a thermoelectric cooperative scheduling method and system considering user difference and building thermal inertia.
Background
With the rapid development of economy, the exhaustion of primary energy and the prominent problem of environmental pollution, green renewable energy is more and more concerned by various countries. The installed capacity and grid-connected scale of wind power in China are increased year by year, but the wind power grid-connected scale also faces a serious wind abandon phenomenon. Relevant researches show that the multi-wind period and the heating peak period in the three north areas of China coincide, and the rapid reduction of the peak regulation capacity of the system caused by heating in the heating period of a thermal power plant is a main reason for wind abandonment.
The traditional 'electricity utilization for heat determination' operation mode limits the electricity output adjusting range of the cogeneration unit, so that the peak load regulation capacity of the system is reduced, the wind power resource receiving capacity of the system is further reduced, and a large amount of wind is abandoned; meanwhile, the existing peak regulation system ignores potential power regulation capability which can be provided by different user load differences based on building thermal inertia triggering, and further improves the flexibility of cogeneration and the consumption capability of renewable energy.
In view of the above, it is desirable to provide a method and a system for coordinated thermal and electric scheduling that account for user differences and thermal inertia of a building.
Disclosure of Invention
In order to solve the technical problem, the technical scheme adopted by the invention is to provide a thermoelectric cooperative scheduling system taking user difference and building thermal inertia into account, which comprises:
a cogeneration unit and a photovoltaic generator unit connected by a power cable network;
a user heat consumption unit connected with the cogeneration unit through a centralized heat supply network;
the energy storage device is used for storing heat at the source end;
the user heat consumption unit comprises a radiator remote control switch, a hot water type heating radiator and a hot water consumption meter, wherein the radiator remote control switch, the hot water type heating radiator and the hot water consumption meter are connected in series;
the first remote centralized controller and the second remote centralized controller are respectively used for controlling and managing the cogeneration unit and the photovoltaic generator set;
a third remote centralized controller for controlling the management user heat consumption unit;
the first remote centralized controller, the second remote centralized controller, the third remote centralized controller and the mobile terminal are in wireless communication connection with the comprehensive scheduling control device;
the first remote centralized controller collects the heat and power capacity information of the cogeneration unit and the heat of the energy storage device and transmits the heat and power capacity information and the heat to the comprehensive dispatching control device; the second remote centralized controller collects the power generation information of the photovoltaic generator set and transmits the power generation information to the comprehensive dispatching control device; the third remote centralized controller collects the non-heating power consumption of each user, the hot water inflow amount detected by the hot water consumption meter, the position and the quantity of the user and the indoor and outdoor temperature of each user, and respectively transmits the information to the comprehensive dispatching control device;
the comprehensive dispatching control device receives information such as the position, the number, the indoor and outdoor temperatures, the remote control switch state and the like of a terminal user, is connected with the computer service system through a communication cable for transmission, the computer service system calculates according to the heat transfer coefficient of a user building and the received information, and determines that dispatching control signals are respectively transmitted to the first remote centralized controller and the third remote centralized controller; the first remote centralized controller controls the generated energy and the heat supply of the cogeneration unit and the heat storage and release of the energy storage device according to the scheduling control signal; and the third remote centralized controller respectively drives the radiator remote control switches according to the scheduling control signals.
In the system, the comprehensive scheduling control device positions the position state of the mobile terminal in real time through wireless communication and acquires whether a user is in an indoor state;
a user sets target temperatures when people are indoors and temperature thresholds when people are not indoors respectively through the mobile terminal, and indoor temperature fluctuation values acceptable by the user.
In the above system, the calculation process of the computer service system for the indoor temperature change of the user is as follows:
rate of change d of the user's room temperature when the heating system is offTDifference between indoor and outdoor temperatures deltaTIn direct proportion, the following equation can be obtained:
in the formula, Tin(T) is a function of the change of the indoor temperature with time, ToutIs the outdoor temperature, and K is the building heat transfer coefficient;
the initial temperature in the room when the heating system is switched off is Tin(0) Outdoor temperature of ToutThen, a model of the change of the indoor temperature with time t can be obtained:
obtaining by solution:
Tin(t)＝(Tin(0)-Tout)*e-K*t+Tout(4)
it can thus be derived that the temperature in the chamber reaches from T without supplying heat(0)Down to TsetThe required time t is:
according to the actual situation, TsetThe reference temperature after the user leaves the room can be specifically calculated as follows:
Tset＝Tset,0-TΔ(6)
in the formula, TΔAcceptable indoor temperature fluctuation value, T, for userset,0A reference temperature set for the user.
In this embodiment, the method for obtaining the heat transfer coefficient K and the parameter correction thereof are as follows:
the heat transfer coefficient K of the user building is calculated as follows:
Kn＝K(n-1)+(K(n-1)-K′(n-1)) (7)
K＝Kn(8)
in the formula, K(n-1)Is the heat transfer coefficient, K ', of the user at the time of the (n-1) th dispatch'(n-1)For the data calculation acquired through the (n-1) th scheduling, the formula is as follows:
in the formula (I), the compound is shown in the specification,
the outdoor temperature when the (n-1) th user participates in the scheduling,
for the indoor temperature when the user participates in the scheduling for the (n-1) th time,
acceptable for the (n-1) th time of participation in schedulingHigh temperature, t'(n-1)Indoor temperature control for (n-1) th participation of user in scheduling
Down to
The measured time was used.
In the above system, the specific control signal generation process of the integrated scheduling control apparatus is as follows:
a1, receiving variables collected by each controller by a comprehensive scheduling control device (1124);
a2, predicting the total power generation output of the cogeneration unit and the photovoltaic generator unit in the next nxT time period, and predicting the reference temperature corresponding to the user i in the next nxT time period according to historical data;
a3, establishing a scheduling model with the maximum total output of the photovoltaic generator set;
and A4, generating a regulation and control signal by the comprehensive dispatching control device according to the operation result of the step A3, and sending the regulation and control signal to a corresponding controller for thermoelectric regulation.
The invention also provides a thermoelectric cooperative scheduling system taking user difference into account based on the system, which comprises the following steps:
s1, the comprehensive scheduling control system receives variables acquired by each controller, and the variables comprise:
collecting the generated output of the cogeneration unit in the time period of nxT
And heat supply output
Collecting storage and discharge force h of energy storage deviceTS(T), the generated output of each photovoltaic generator set in the time period of n multiplied by T
Collecting the temperature fluctuation range of any user i in 0-N users within the nxT time period
Indoor temperature
Outdoor temperature
Reference temperature T at the present timeset,0Energy consumption h for heat supplyi(t), and sending to the comprehensive dispatching control system;
s2, predicting the total power generation output of the cogeneration unit and the photovoltaic generator unit in the next nxT time period, and predicting the reference temperature corresponding to the user i in the next nxT time period according to historical data;
s3, establishing a scheduling model with the maximum total output of the photovoltaic generator set;
and S4, generating a regulation and control signal by the comprehensive dispatching control system according to the operation result of the step S3, and sending the regulation and control signal to a corresponding controller for thermoelectric regulation.
In the above method, the step S2 specifically includes the following steps:
(1) the total output of the photovoltaic generator set in the time period of n multiplied by T is as follows:
according to
Predicting the total photovoltaic power generation output in the next n multiplied by T time period by utilizing a statistical analysis method
(2) The total power generation output of the cogeneration unit in the time period of n × T is:
the total power generation output of the cogeneration in the period of n × T is:
predicting the generated output of the next n multiplied by T time period
Heating output
And the output h of the energy storage deviceTS(t)；
Predicting whether the user is in the indoor state in the next n multiplied by T time period according to historical big data, and estimating the corresponding reference temperature Tset,0。
In the above method, the step S3 specifically includes:
(1) an objective function:
wherein
The regulated equivalent photovoltaic power generation total output is obtained;
in the formula (I), the compound is shown in the specification,
for the total power of the predicted power demand,
the regulated total power generation output of the straight condensing thermal power generating unit is obtained;
(2) constraint conditions are as follows:
① thermal load balancing constraint:
wherein, for user i needs to maintain the heating energy consumption of present situation:
for the heating energy consumption required by a user i or scheduled to be heated according to peak regulation requirements:
in the formula (I), the compound is shown in the specification,
maximum allowable output of the heating system for the user;
for user i needs or plans to cool according to peak regulation requirements:
② photovoltaic output constraints:
③ Cogeneration constraints include:
lower limit of power generation output:
the upper limit of the generated output is as follows:
and (3) limiting the generated output:
in the formula (I), the compound is shown in the specification,
installed capacity for cogeneration;
the minimum generated output is the regulated cogeneration;
outputting power for the adjusted cogeneration;
the adjusted maximum power generation output of the cogeneration is obtained;
④ climbing restraint:
in the formula (I), the compound is shown in the specification,
the ascending and descending speeds of the No. l thermal power generator,
the power generation output is adjusted in the time period t;
⑤ Cogeneration heat-to-power ratio constraint:
hCHP(t)＝RDB·pCHP(t) (24)
wherein, PCHPThe capacity of the cogeneration unit;
the minimum generated output of the adjusted cogeneration unit is obtained; p is a radical ofCHP(t) The power generation output of the combined heat and power generation unit is adjusted;
for adjusting the maximum power output of the combined heat and power generation unit, RDB is the heat-power ratio of the combined heat and power generation unit, ηCHP(t) efficiency of the cogeneration unit; h isCHP(t) the thermal output of the cogeneration unit; f. ofCHP(t) is the combined heat and power consumption;
⑥ heat source energy storage device constraint conditions
Maximum power limit:
capacity limitation of the energy storage device:
in the above method, the generating of the regulation and control signal by the integrated scheduling control system includes:
the controller controls the power generation output of the cogeneration unit and the storage and discharge power of the energy storage device in the future regulation time period, and controls the switching of the user heating system in the future regulation time period.
According to the invention, the user load difference is considered to the dispatching system, different dispatching controls are carried out according to users without conditions, the control precision of the system is improved, the building thermal inertia is fully considered to excavate the user load difference and the potential power regulation capability which can be provided, the flexibility of cogeneration is improved, the consumption capability of renewable energy sources is improved, and the heat supply energy consumption is reduced.
Drawings
FIG. 1 is a block diagram of a system provided in the present invention;
fig. 2 is a flow chart provided in the present invention.
Detailed Description
In the description of the present application, it should be noted that the terms "vertical", "upper", "lower", "horizontal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present application. The invention is described in detail below with reference to specific embodiments and the accompanying drawings.
As shown in fig. 1, the present invention provides a thermal-electric cooperative dispatching system for accounting for user diversity and building thermal inertia, comprising:
a cogeneration unit a and a photovoltaic generator unit B connected by a power cable network 201;
a user heat consumption unit G connected with the cogeneration unit A through the centralized heat supply network 101;
the energy storage device C is used for storing heat at the source end;
the user heat consumption unit G comprises a radiator remote control switch 102, a hot water type heating radiator 103, and a hot water consumption meter 104 for detecting the hot water consumption of the hot water type heating radiator 103, which are connected in series;
a first remote centralized controller 1121 and a second remote centralized controller 1122 for controlling and managing the cogeneration unit a and the photovoltaic generator unit B, respectively;
a third remote centralized controller 1123 for controlling and managing the user heat consumption unit G;
the first remote centralized controller 1121, the second remote centralized controller 1122, the third remote centralized controller 1123 and the mobile terminal are all in wireless communication connection with the integrated scheduling control device 1124;
the first remote centralized controller 1121 acquires the heat and power generation information of the cogeneration unit a and the heat of the energy storage device C and transmits the heat and power to the comprehensive scheduling control device 1124; the second remote centralized controller 1122 collects the power generation information of the photovoltaic generator set B and transmits the power generation information to the comprehensive scheduling control device 1124; the third remote centralized controller 1123 collects the non-heating power consumption of each user, the inflow amount of hot water detected by the hot water consumption meter 104, the position and quantity of the user, and the indoor and outdoor temperature of each user, and transmits the information to the integrated scheduling control device 1124 respectively;
the comprehensive dispatching control device 1124 receives information such as the location, number, indoor and outdoor temperature, remote control switch status, etc. of the end user, and connects with the computer service system 1125 through a communication cable for transmission, the computer service system 1125 calculates according to the heat transfer coefficient of the user building and the received information, and determines that dispatching control signals are respectively transmitted to the first remote centralized controller 1121 and the third remote centralized controller 1123; the first remote centralized controller 1121 controls the generated energy and the heat supply of the cogeneration unit a and the heat storage and release of the energy storage device C according to the scheduling control signal; the third remote centralized controller 1123 drives the radiator remote control switches 102, respectively, according to the scheduling control signal. The initial value can be calculated by data in the design scheme of the user building, and then, the calculation and correction are carried out according to the real-time measurement data.
The heat transfer coefficient of the user building may be obtained when the user sets up the heating system and recorded in the integrated scheduling control device 1124, or may be calculated from data in the design plan of the user building.
According to the embodiment, the number of the users can be determined according to the user information bound by the mobile terminal.
In this embodiment, the integrated scheduling control device 1124 may position the position of the mobile terminal in real time through wireless communication, and it is necessary to acquire whether the user is in an indoor environment.
The target temperature when a user sets through the mobile terminal is indoor and the target temperature when the user is not indoor have temperature threshold values respectively, and acceptable indoor temperature fluctuation range () can be set; at the same time, a user mode can be optionally set, wherein,
the user mode comprises an intelligent mode (A-type user) or a common mode (B-type user);
smart mode (class a user): the comprehensive scheduling control device 1124 controls the heat radiator remote control switch 102 according to the on-off state of the heat radiator remote control switch 102, whether the user is in the indoor state or not and the reference temperature corresponding to the state, the user type controls the generated energy and the heat supply amount of the cogeneration unit a, the heat of the energy storage device C is stored and released, the user type controls the generated energy and the heat supply amount of the cogeneration unit a, and the heat of the energy storage device C is stored and released, so that the indoor temperature is adjusted.
Normal mode (class B user): the user sets the indoor temperature as a fixed value, no people are in the room, the comprehensive dispatching control device 1124 controls the generated energy and the heat supply quantity of the cogeneration unit A according to the on-off state of the radiator remote control switch 102, the energy storage device C controls the radiator remote control switch 102, the user type controls the generated energy and the heat supply quantity of the cogeneration unit A, and the heat of the energy storage device C is stored and released, so that the indoor temperature is adjusted.
When the indoor temperature set value is adjusted and the set temperature is lower than the current indoor temperature, the indoor temperature is quickly reduced and the heat supply energy consumption is reduced through the on-off control of the heat supply system; when the set temperature is higher than the current indoor temperature, the indoor temperature is quickly recovered by increasing the heat, and the heat comfort of a user is ensured.
In this embodiment, the calculation process of the computer service system 1125 for the indoor temperature change of the user is as follows:
rate of change d of the user's room temperature when the heating system is offTDifference between indoor and outdoor temperatures deltaTIn direct proportion, the following equation can be obtained:
in the formula, Tin(T) is a function of the change of the indoor temperature with time, ToutIs the outdoor temperature and K is the building heat transfer coefficient.
It can be understood that the initial temperature is Tin(0) (indoor temperature when heating System is off) and outdoor temperature is ToutThen, a model of the change of the indoor temperature with time t can be obtained:
obtaining by solution:
Tin(t)＝(Tin(0)-Tout)*e-K*t+Tout(4)
it can thus be derived that the temperature in the chamber reaches from T without supplying heat(0)Down to TsetThe required time t is:
according to the actual situation, TsetThe reference temperature after the user leaves the room can be specifically calculated as follows:
Tset＝Tset,0-TΔ(6)
in the formula, TΔAcceptable indoor temperature fluctuation value, T, for userset,0A reference temperature set for the user.
In this embodiment, the method for obtaining the heat transfer coefficient K and the parameter correction thereof are as follows:
in order to further improve the accurate control of the heat supply of the user and the comfort of the user, the heat transfer coefficient of the user building should be as close to the actual value as possible, and the calculation method is as follows:
Kn＝K(n-1)+(K(n-1)-K′(n-1)) (7)
K＝Kn(8)
in the formula, K(n-1)Is the heat transfer coefficient, K ', of the user at the time of the (n-1) th dispatch'(n-1)The method is obtained by calculating parameters such as time-by-time meteorological parameters, indoor temperature, indoor heat supply and the like according to historical records, and the formula is as follows:
in the formula (I), the compound is shown in the specification,
the outdoor temperature when the (n-1) th user participates in the scheduling,
for the indoor temperature when the user participates in the scheduling for the (n-1) th time,
is the highest temperature, t ', acceptable when the (n-1) th time of the user participates in the scheduling'(n-1)Indoor temperature control for (n-1) th participation of user in scheduling
Down to
The measured time was used.
In this embodiment, the user can set the temperature, T, during sleep or in other modes according to the above contentsetThe reference temperature after sleeping is set for the user, and the principle is the same as whether the user is in the indoor state, which is not described herein again.
According to the method and the system, the user load difference is considered to the dispatching system, the users meeting the conditions are selected for dispatching control, the system control precision is improved, the building thermal inertia is fully considered to excavate the user load difference and the potential power adjusting capacity which can be provided, the flexibility of cogeneration is improved, the consumption capacity of renewable energy is improved, and the heat supply energy consumption is reduced.
In this embodiment, the integrated scheduling control device 1124 specifically controls the signal generation process as follows:
a1, receiving variables collected by each controller by the integrated scheduling control device 1124, including:
the first remote centralized controller 1121 acquires the generated output of the cogeneration unit (a) in the period of nxt time
And heat supply output
Collecting storage and discharge force h of energy storage device CTS(t) to the integrated scheduling control apparatus 1124; t is a sampling period, n is the number of times of acquisition, and n is a natural number;
the second remote centralized controller 1122 collects the generated output of each photovoltaic panel in the photovoltaic generator set B in the period of n × T
And sent to the integrated scheduling control device 1124;
the third remote centralized controller 1123 collects the following information of any user i from 0 to N users within the nxt time period, including the temperature fluctuation range
Indoor temperature
Outdoor temperature
Reference temperature T at the present timeset,0Energy consumption for heat supply hi(t) (hot water consumption meter acquisition) and sent to the integrated dispatch control 1124;
a2, predicting the total power generation output of the cogeneration unit and the photovoltaic generator unit in the next nxT time period, and predicting the reference temperature T corresponding to the user i in the next nxT time period according to historical dataset,0The method comprises the following steps:
(1) the total output of the photovoltaic generator set in the time period of n multiplied by T is as follows:
according to
By using the statistical analysis method, the method of the analysis,predicting the total photovoltaic power generation output in the next n multiplied by T time period
(2) The total power generation output of the cogeneration unit in the time period of n × T is:
the total power generation output of the cogeneration in the period of n × T is:
predicting the generated output of the next n multiplied by T time period
Heating output
And the output h of the energy storage deviceTS(t)；
Predicting whether the user is in the indoor state in the next n multiplied by T time period according to historical big data, and estimating the corresponding reference temperature Tset,0；
A3, establishing a scheduling model with the maximum total output of the photovoltaic generator set; the method comprises the following specific steps:
(1) an objective function:
wherein
The regulated equivalent photovoltaic power generation total output is obtained;
in the formula (I), the compound is shown in the specification,
for the total power of the predicted power demand,
the regulated total power generation output of the straight condensing thermal power generating unit is obtained;
(2) constraint conditions are as follows:
① thermal load balancing constraint:
wherein, for user i needs to maintain the heating energy consumption of present situation:
for the heating energy consumption required by a user i or scheduled to be heated according to peak regulation requirements:
in the formula (I), the compound is shown in the specification,
the maximum allowable output of the heating system for that user.
For user i needs or plans to cool according to peak regulation requirements:
② photovoltaic output constraints:
③ Cogeneration constraints include:
lower limit of power generation output:
the upper limit of the generated output is as follows:
and (3) limiting the generated output:
in the formula (I), the compound is shown in the specification,
installed capacity for cogeneration;
the minimum generated output is the regulated cogeneration;
outputting power for the adjusted cogeneration;
the adjusted maximum power generation output of the cogeneration is obtained;
④ climbing restraint:
in the formula (I), the compound is shown in the specification,
the ascending and descending speeds of the No. l thermal power generator,
the power generation output is adjusted in the time period t;
⑤ Cogeneration heat-to-power ratio constraint:
hCHP(t)＝RDB·pCHP(t) (24)
wherein, PCHPThe capacity of the cogeneration unit a;
the minimum power generation output of the combined heat and power generation unit A is adjusted; p is a radical ofCHP(t) the regulated power generation output of the combined heat and power generation unit A;
for adjusting the maximum generated output of the combined heat and power generation unit A, RDB is the heat-to-electricity ratio of the combined heat and power generation unit A, ηCHP(t) efficiency of the cogeneration unit a; h isCHP(t) the heat output of the cogeneration unit A; f. ofCHP(t) is the combined heat and power consumption;
⑥ heat source energy storage device constraint conditions
Maximum power limit:
capacity limitation of the energy storage device:
in this embodiment, an optimization problem composed of an objective function (equation 13) and constraint conditions (equations 14 to 27) is iteratively solved, in this embodiment, optimization solution is performed by using a linear programming method or an MLIP method, and total subsidies of a user are minimized on the basis of obtaining the maximum value of the objective function by selecting different government subsidies.
A4, according to the operation result of the step A3, the integrated dispatching control device 1124 generates a regulation signal and sends the regulation signal to a corresponding controller for thermoelectric regulation, and the method specifically comprises the following steps:
sending the generated output and the supplied output of the cogeneration unit a and the storage and release output of the energy storage device C to the first remote centralized controller 1121, and controlling the generated output and the storage and release power of the energy storage device C of the cogeneration unit a in a future regulation time period;
and sending a control signal of the user heating system participating in scheduling to a third remote centralized controller 1123 at the user side, and controlling the on and off of the radiator remote control switch 102 in a future regulation period.
The invention also provides a thermoelectric cooperative scheduling method considering user difference and building thermal inertia based on the system, which comprises the following steps:
s1, the comprehensive scheduling control system receives variables acquired by each controller, and the variables comprise:
collecting the generated output of the cogeneration unit in the time period of nxT
And heat supply output
Collecting storage and discharge force h of energy storage deviceTS(T), the generated output of each photovoltaic generator set in the time period of n multiplied by T
Collecting the temperature fluctuation range of any user i in 0-N users within the nxT time period
Indoor temperature
Outdoor temperature
Reference temperature T at the present timeset,0Energy consumption h for heat supplyi(t) (hot water consumption meter acquisition) and sending to the integrated dispatch control system.
S2, predicting the total power generation output of the cogeneration unit and the photovoltaic generator unit in the next nxT time period,and predicting the reference temperature T corresponding to the user i in the next n multiplied by T time period according to the historical dataset,0The method comprises the following steps:
(1) the total output of the photovoltaic generator set in the time period of n multiplied by T is as follows:
according to
Predicting the total photovoltaic power generation output in the next n multiplied by T time period by utilizing a statistical analysis method
(2) The total power generation output of the cogeneration unit in the time period of n × T is:
the total power generation output of the cogeneration in the period of n × T is:
predicting the generated output of the next n multiplied by T time period
Heating output
And the output h of the energy storage deviceTS(t)；
Predicting whether the user is in the indoor state in the next n multiplied by T time period according to historical big data, and estimating the corresponding reference temperature Tset,0；
S3, establishing a scheduling model with the maximum total output of the photovoltaic generator set; the method comprises the following specific steps:
(1) an objective function:
wherein
The regulated equivalent photovoltaic power generation total output is obtained;
in the formula (I), the compound is shown in the specification,
for the total power of the predicted power demand,
the regulated total power generation output of the straight condensing thermal power generating unit is obtained;
(2) constraint conditions are as follows:
① thermal load balancing constraint:
wherein, for user i needs to maintain the heating energy consumption of present situation:
for the heating energy consumption required by a user i or scheduled to be heated according to peak regulation requirements:
in the formula (I), the compound is shown in the specification,
the maximum allowable output of the heating system for that user.
For user i needs or plans to cool according to peak regulation requirements:
② photovoltaic output constraints:
③ Cogeneration constraints include:
lower limit of power generation output:
the upper limit of the generated output is as follows:
and (3) limiting the generated output:
in the formula (I), the compound is shown in the specification,
installed capacity for cogeneration;
the minimum generated output is the regulated cogeneration;
outputting power for the adjusted cogeneration;
the adjusted maximum power generation output of the cogeneration is obtained;
④ climbing restraint:
in the formula (I), the compound is shown in the specification,
the ascending and descending speeds of the No. l thermal power generator,
the power generation output is adjusted in the time period t;
⑤ Cogeneration heat-to-power ratio constraint:
hCHP(t)＝RDB.pCHP(t) (24)
wherein, PCHPThe capacity of the cogeneration unit;
the minimum generated output of the adjusted cogeneration unit is obtained; p is a radical ofCHP(t) adjusting the power generation output of the cogeneration unit;
for adjusting the maximum power output of the combined heat and power generation unit, RDB is the heat-power ratio of the combined heat and power generation unit, ηCHP(t) efficiency of the cogeneration unit; h isCHP(t) the thermal output of the cogeneration unit; f. ofCHP(t) is the combined heat and power consumption;
⑥ heat source energy storage device constraint conditions
Maximum power limit:
capacity limitation of the energy storage device:
in this embodiment, an optimization problem composed of an objective function (equation 13) and constraint conditions (equations 14 to 27) is iteratively solved, and the minimum total subsidy of a user is realized by selecting different government subsidies on the basis of obtaining the maximum value of the objective function.
S4, according to the operation result of the step S3, the comprehensive dispatching control system generates a regulation signal and sends the regulation signal to a corresponding controller for thermoelectric regulation, and the method specifically comprises the following steps:
the controller controls the power generation output of the cogeneration unit and the storage and discharge power of the energy storage device in the future regulation time period, and controls the switching of the user heating system in the future regulation time period.
The present invention is not limited to the above-mentioned preferred embodiments, and any structural changes made under the teaching of the present invention shall fall within the protection scope of the present invention, which has the same or similar technical solutions as the present invention.
Claims (8)
1. A thermoelectric cooperative scheduling system taking user differences and building thermal inertia into account is characterized by comprising:
a cogeneration unit (A) and a photovoltaic generator unit (B) connected by a power cable network (201);
a consumer heat consumption unit (G) connected to the cogeneration unit (A) through a concentrated heat network (101);
the energy storage device (C) is used for storing heat at the source end;
the user heat consumption unit (G) comprises a radiator remote control switch (102), a hot water type heating radiator (103) and a hot water consumption meter (104) for detecting the hot water consumption of the hot water type heating radiator (103) which are connected in series;
the system comprises a first remote centralized controller (1121) and a second remote centralized controller (1122) which are respectively used for controlling and managing a cogeneration unit (A) and a photovoltaic generator unit (B);
a third remote centralized controller (1123) for controlling the management user heat consumption unit (G);
the first remote centralized controller (1121), the second remote centralized controller (1122), the third remote centralized controller (1123) and the mobile terminal are in wireless communication connection with the comprehensive scheduling control device (1124);
the method comprises the steps that a first remote centralized controller (1121) collects heat and power generation information of a combined heat and power generation unit (A) and heat entering and exiting of an energy storage device (C) and transmits the heat and power to a comprehensive scheduling control device (1124); the second remote centralized controller (1122) collects power generation information of the photovoltaic generator set (B) and transmits the power generation information to the comprehensive dispatching control device (1124); a third remote centralized controller (1123) collects the non-heating electricity consumption of each user, the hot water inflow amount detected by a hot water consumption meter (104), the position and the number of the users and the indoor and outdoor temperatures of each user, and respectively transmits the information to a comprehensive scheduling control device (1124);
the comprehensive dispatching control device (1124) receives information such as the position, the number, the indoor temperature, the outdoor temperature, the remote control switch state and the like of an end user, is connected with the computer service system (1125) through a communication cable for transmission, the computer service system (1125) calculates according to the heat transfer coefficient of a user building and the received information, and determines dispatching control signals to be respectively transmitted to the first remote centralized controller (1121) and the third remote centralized controller (1123); the first remote centralized controller (1121) controls the power generation and heat supply of the cogeneration unit (A) and the heat storage and release of the energy storage device (C) according to the scheduling control signal; and the third remote centralized controller (1123) drives the radiator remote control switches (102) respectively according to the scheduling control signals.
2. The system of claim 1, wherein said integrated scheduling control means (1124) locates the mobile terminal location status in real time through wireless communication, collects the status of whether the user is indoors;
a user sets target temperatures when people are indoors and temperature thresholds when people are not indoors respectively through the mobile terminal, and indoor temperature fluctuation values acceptable by the user.
3. The system of claim 1, wherein the computer service system calculates the user indoor temperature change as follows:
rate of change d of the user's room temperature when the heating system is offTDifference between indoor and outdoor temperatures deltaTIn direct proportion, the following equation can be obtained:
in the formula, Tin(T) is a function of the change of the indoor temperature with time, ToutIs the outdoor temperature, and K is the building heat transfer coefficient;
the initial temperature in the room when the heating system is switched off is Tin(0) Outdoor temperature of ToutThen, a model of the change of the indoor temperature with time t can be obtained:
obtaining by solution:
Tin(t)＝(Tin(0)-Tout)*e-K*t+Tout(4)
it can thus be derived that the temperature in the chamber reaches from T without supplying heat(0)Down to TsetThe required time t is:
according to the actual situation, TsetThe reference temperature after the user leaves the room can be specifically calculated as follows:
Tset＝Tset,0-TΔ(6)
in the formula, TΔAcceptable indoor temperature fluctuation value, T, for userset,0A reference temperature set for the user.
In this embodiment, the method for obtaining the heat transfer coefficient K and the parameter correction thereof are as follows:
the heat transfer coefficient K of the user building is calculated as follows:
Kn＝K(n-1)+(K(n-1)-K′(n-1)) (7)
K＝Kn(8)
in the formula, K(n-1)Is the heat transfer coefficient, K ', of the user at the time of the (n-1) th dispatch'(n-1)For the data calculation acquired through the (n-1) th scheduling, the formula is as follows:
in the formula (I), the compound is shown in the specification,
the outdoor temperature when the (n-1) th user participates in the scheduling,
for the indoor temperature when the user participates in the scheduling for the (n-1) th time,
is the highest temperature, t ', acceptable when the (n-1) th time of the user participates in the scheduling'(n-1)Indoor temperature control for (n-1) th participation of user in scheduling
Down to
The measured time was used.
4. The system of claim 1, wherein the integrated scheduling control means generates specific control signals as follows:
a1, receiving variables collected by each controller by a comprehensive scheduling control device (1124);
a2, predicting the total power generation output of the cogeneration unit and the photovoltaic generator unit in the next nxT time period, and predicting the reference temperature corresponding to the user i in the next nxT time period according to historical data;
a3, establishing a scheduling model with the maximum total output of the photovoltaic generator set;
and A4, generating a regulation signal by the comprehensive dispatching control device (1124) according to the operation result of the step A3, and sending the regulation signal to a corresponding controller for thermoelectric regulation.
5. A thermoelectric cooperative scheduling system taking into account user variability based on the system of any one of claims 1 to 4, comprising the steps of:
s1, the comprehensive scheduling control system receives variables acquired by each controller, and the variables comprise:
collecting the generated output of the cogeneration unit in the time period of nxT
And heat supply output
Collecting storage and discharge force h of energy storage deviceTS(T), the generated output of each photovoltaic generator set in the time period of n multiplied by T
Collecting the temperature fluctuation range of any user i in 0-N users within the nxT time period
Indoor temperature
Outdoor temperature
Reference temperature T at the present timeset,0Energy consumption h for heat supplyi(t) and transmittingTo the integrated scheduling control system;
s2, predicting the total power generation output of the cogeneration unit and the photovoltaic generator unit in the next nxT time period, and predicting the reference temperature corresponding to the user i in the next nxT time period according to historical data;
s3, establishing a scheduling model with the maximum total output of the photovoltaic generator set;
and S4, generating a regulation and control signal by the comprehensive dispatching control system according to the operation result of the step S3, and sending the regulation and control signal to a corresponding controller for thermoelectric regulation.
6. The method according to claim 5, wherein the step S2 specifically comprises the steps of:
(1) the total output of the photovoltaic generator set in the time period of n multiplied by T is as follows:
according to
Predicting the total photovoltaic power generation output in the next n multiplied by T time period by utilizing a statistical analysis method
(2) The total power generation output of the cogeneration unit in the time period of n × T is:
the total power generation output of the cogeneration in the period of n × T is:
predicting the generated output of the next n multiplied by T time period
Heating output
And the output h of the energy storage deviceTS(t)；
Predicting whether the user is in the indoor state in the next n multiplied by T time period according to historical big data, and estimating the corresponding reference temperature Tset,0。
7. The method according to claim 6, wherein the step S3 specifically includes:
(1) an objective function:
wherein
The regulated equivalent photovoltaic power generation total output is obtained;
in the formula (I), the compound is shown in the specification,
for the total power of the predicted power demand,
the regulated total power generation output of the straight condensing thermal power generating unit is obtained;
(2) constraint conditions are as follows:
① thermal load balancing constraint:
wherein, for user i needs to maintain the heating energy consumption of present situation:
for the heating energy consumption required by a user i or scheduled to be heated according to peak regulation requirements:
in the formula (I), the compound is shown in the specification,
maximum allowable output of the heating system for the user;
for user i needs or plans to cool according to peak regulation requirements:
② photovoltaic output constraints:
③ Cogeneration constraints include:
lower limit of power generation output:
the upper limit of the generated output is as follows:
and (3) limiting the generated output:
in the formula (I), the compound is shown in the specification,
installed capacity for cogeneration;
the minimum generated output is the regulated cogeneration;
outputting power for the adjusted cogeneration;
the adjusted maximum power generation output of the cogeneration is obtained;
④ climbing restraint:
in the formula (I), the compound is shown in the specification,
the ascending and descending speeds of the No. l thermal power generator,
the power generation output is adjusted in the time period t;
⑤ Cogeneration heat-to-power ratio constraint:
hCHP(t)＝RDB·pCHP(t) (24)
wherein, PCHPThe capacity of the cogeneration unit;
the minimum generated output of the adjusted cogeneration unit is obtained; p is a radical ofCHP(t) is regulationThe power generation output of the post-cogeneration unit;
for adjusting the maximum power output of the combined heat and power generation unit, RDB is the heat-power ratio of the combined heat and power generation unit, ηCHP(t) efficiency of the cogeneration unit; h isCHP(t) the thermal output of the cogeneration unit; f. ofCHP(t) is the combined heat and power consumption;
⑥ heat source energy storage device constraint conditions
Maximum power limit:
capacity limitation of the energy storage device:
8. the method of claim 7, wherein the integrated scheduling control system generating a regulation signal comprises:
the controller controls the power generation output of the cogeneration unit and the storage and discharge power of the energy storage device in the future regulation time period, and controls the switching of the user heating system in the future regulation time period.
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