CN111242361B - Optimal scheduling method and device for park comprehensive energy system considering ground source heat pump - Google Patents
Optimal scheduling method and device for park comprehensive energy system considering ground source heat pump Download PDFInfo
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Abstract
The application discloses a method and a device for optimizing and scheduling a park comprehensive energy system considering a ground source heat pump, wherein the method comprises the following steps: acquiring system parameters of a park comprehensive energy system to be optimized; according to system parameters, establishing operation constraints when the ground source heat pump operates based on the actual operation condition of the ground source heat pump; based on operation constraint, constructing a double-layer optimization scheduling model of the ground source heat pump, wherein the double-layer optimization scheduling model is as follows: the system comprises an upper-layer scheduling model which takes the minimum annual operating cost as a target function and is constrained by cold and heat balance, and a lower-layer scheduling model which takes the minimum daily operating cost as a target function and is balanced by cold and heat; optimizing the double-layer optimization scheduling model, and determining a scheduling result of the comprehensive energy system; and the comprehensive energy system is correspondingly operated and scheduled according to the scheduling result, so that the technical problems of system operation economy and energy efficiency reduction caused by the fact that the existing optimal scheduling of the comprehensive energy system of the park does not consider the annual cold and heat balance problem of the ground source heat pump are solved.
Description
Technical Field
The application relates to the technical field of power dispatching, in particular to a method and a device for optimizing and dispatching a park comprehensive energy system considering a ground source heat pump.
Background
In order to deal with global energy exhaustion and environmental pollution problems, a distributed energy technology needs to be vigorously developed and the utilization efficiency of an energy system needs to be improved. The park comprehensive energy system can integrate various distributed energy sources, and energy forms such as cold, heat, electricity, gas and the like are deeply coupled, so that the overall high-efficiency utilization of the energy system can be realized through a reasonable and effective control strategy, and the park comprehensive energy system is considered as an important development direction of future energy systems.
The ground source heat pump can realize cooling and heating in summer and has higher coefficient of performance, thereby being widely popularized. The working principle is as follows: in winter, the ground source heat pump absorbs the heat energy in the ground for heating, the soil temperature is reduced, and the cold energy is stored for cooling in summer; in summer, the ground source heat pump releases cold in the ground to users, the temperature of the ground is raised, and the heat is stored for heat supply in winter. At the moment, the earth can be regarded as an energy storage system with huge storage capacity, and long-term dynamic balance is realized through the release and supplement of energy. If the cooling and heating loads of the ground source heat pump are unbalanced for a long time, the temperature of the soil can be increased or reduced, the problem of thermal accumulation, namely soil thermal unbalance, is formed, the heat exchange efficiency of the system is influenced, and the operation economy of the comprehensive energy system of the park is further influenced. Therefore, the research on the annual cold-heat balance problem of the ground source heat pump is significant in the optimization scheduling of the comprehensive energy system comprising the ground source heat pump.
At present, the optimal scheduling of a park comprehensive energy system does not consider the annual cold-heat balance problem of a ground source heat pump, so that the running economy and the energy efficiency of the system are reduced. Therefore, an optimal scheduling method for the park comprehensive energy system considering the ground source heat pump is urgently needed.
Disclosure of Invention
The application provides a method and a device for optimally scheduling a park comprehensive energy system by considering ground source heat pumps, and optimally scheduling the park comprehensive energy system by considering the heat efficiency of the ground source heat pumps.
In view of this, the first aspect of the present application provides a campus integrated energy system optimization scheduling method considering a ground source heat pump, including:
acquiring system parameters of a park comprehensive energy system to be optimized;
according to the system parameters, establishing operation constraints when the ground source heat pump operates based on the actual operation condition of the ground source heat pump;
based on the operation constraint, constructing a double-layer optimization scheduling model of the ground source heat pump, wherein the double-layer optimization scheduling model is as follows: the system comprises an upper-layer scheduling model which takes the minimum annual operating cost as a target function and is constrained by cold and heat balance, and a lower-layer scheduling model which takes the minimum daily operating cost as a target function and is balanced by cold and heat;
optimizing the double-layer optimization scheduling model, and determining a scheduling result of the comprehensive energy system;
and carrying out corresponding operation scheduling on the comprehensive energy system according to the scheduling result.
Alternatively,
the system parameters include: inputting electricity price, annual electricity load, annual cold load, annual heat load, annual illumination intensity, equipment information, equipment operation parameters and system scheduling interval parameters.
Alternatively,
the name matching rule includes: and the similarity between the first station equipment name corresponding to the similar data and the second station equipment name corresponding to the standing book data is greater than a preset similarity threshold.
Alternatively,
the operational constraints include: the system comprises a ground source heat pump unit cold supply operation constraint, a cold storage water tank operation constraint, a conventional water chilling unit operation constraint, an ice cold storage system operation constraint, a ground source heat pump unit heat supply operation constraint, a heat accumulation type electric boiler system operation constraint, a cold supply and demand balance constraint, a heat supply and demand balance constraint and an electricity supply and demand balance constraint.
Alternatively,
and constructing a double-layer optimization scheduling model of the ground source heat pump based on the operation constraint, wherein the double-layer optimization scheduling model comprises the following steps: the upper-layer scheduling model which takes the minimum annual operating cost as an objective function and is constrained by cold and heat balance specifically comprises the following lower-layer scheduling model which takes the minimum daily operating cost as an objective function and is constrained by cold and heat balance:
constructing an upper-layer scheduling model of the cold-heat balance constraint of the ground source heat pump based on the operation constraint by taking the minimum annual operation cost as a target function;
and constructing a lower-layer scheduling model of the cold-heat balance of the ground source heat pump based on the operation constraint by taking the minimum daily operation cost as an objective function according to the output result of the upper-layer scheduling model.
Alternatively,
the upper layer scheduling model is as follows:
in the formula, N S Typical number of days; n is a radical of T Total number of time segments for each scheduling day; p is a radical of s Probability of being a typical day s; Δ t is a scheduling interval;
purchasing the electricity price at the time t;
purchasing power at t moment in a typical day m;
the refrigeration, the cold accumulation and the heating power of the ground source heat pump are respectively at the t moment in a typical day s.
The second aspect of the present application provides a campus comprehensive energy system optimization scheduling device considering ground source heat pump, including:
the system comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring system parameters of a park comprehensive energy system to be optimized;
the first construction unit is used for establishing the operation constraint of the ground source heat pump during operation based on the actual operation condition of the ground source heat pump according to the system parameters;
a second constructing unit, configured to construct a double-layer optimized scheduling model of the ground source heat pump based on the operation constraint, where the double-layer optimized scheduling model is: the system comprises an upper-layer scheduling model which takes the minimum annual operating cost as a target function and is constrained by cold and heat balance, and a lower-layer scheduling model which takes the minimum daily operating cost as a target function and is balanced by cold and heat;
the optimizing unit is used for optimizing the double-layer optimized dispatching model and determining a dispatching result of the comprehensive energy system;
and the scheduling unit is used for carrying out corresponding operation scheduling on the comprehensive energy system according to the scheduling result.
Alternatively,
the system parameters include: inputting electricity price, annual electricity load, annual cooling load, annual heat load, annual illumination intensity, equipment information, equipment operation parameters and system scheduling interval parameters.
Alternatively,
the operational constraints include: the system comprises a ground source heat pump unit, a cold supply operation constraint, a cold storage water tank operation constraint, a conventional water chilling unit operation constraint, an ice cold storage system operation constraint, a ground source heat pump unit heat supply operation constraint, a heat storage type electric boiler system operation constraint, a cold supply and demand balance constraint, a heat supply and demand balance constraint and an electricity supply and demand balance constraint.
Or,
and constructing a double-layer optimization scheduling model of the ground source heat pump based on the operation constraint, wherein the double-layer optimization scheduling model comprises the following steps: the upper-layer scheduling model which takes the minimum annual operating cost as an objective function and is constrained by cold and heat balance specifically comprises the following lower-layer scheduling model which takes the minimum daily operating cost as an objective function and is constrained by cold and heat balance:
constructing an upper-layer scheduling model of the cold-heat balance constraint of the ground source heat pump based on the operation constraint by taking the minimum annual operation cost as an objective function;
and constructing a lower-layer scheduling model of the cold-heat balance of the ground source heat pump based on the operation constraint by taking the minimum daily operation cost as an objective function according to the output result of the upper-layer scheduling model.
Or,
the upper layer scheduling model is as follows:
in the formula, N S Typical number of days; n is a radical of T Total number of time segments for each scheduling day; p is a radical of s Probability of being a typical day s; Δ t is a scheduling interval;
purchasing electricity price at the time t;
purchasing power at t moment in a typical day m;
the refrigeration, the cold accumulation and the heating power of the ground source heat pump are respectively at the t moment in a typical day s.
According to the technical scheme, the method has the following advantages:
the application provides a campus comprehensive energy system optimization scheduling method considering a ground source heat pump, which comprises the following steps: acquiring system parameters of a park comprehensive energy system to be optimized; according to system parameters, establishing operation constraints when the ground source heat pump operates based on the actual operation condition of the ground source heat pump; based on operation constraint, constructing a double-layer optimization scheduling model of the ground source heat pump, wherein the double-layer optimization scheduling model is as follows: the system comprises an upper-layer scheduling model which takes the minimum annual operating cost as a target function and is constrained by cold and heat balance, and a lower-layer scheduling model which takes the minimum daily operating cost as a target function and is balanced by cold and heat; optimizing the double-layer optimization scheduling model, and determining a scheduling result of the comprehensive energy system; and performing corresponding operation scheduling on the comprehensive energy system according to the scheduling result.
According to the method, the system parameters of the park comprehensive energy system to be optimized are firstly obtained, then the operation constraint during the operation of the ground source heat pump is constructed according to the system parameters, then a double-layer optimization scheduling model considering the cold-heat balance of the ground source heat pump is constructed according to the established operation constraint, the double-layer optimization scheduling model is solved, the operation scheduling can be carried out according to the scheduling result obtained by the solving, the influence of the ground source heat pump is fully considered during the scheduling of the park comprehensive energy system, the problems that the existing optimization scheduling of the park comprehensive energy system is not considered, the cold-heat balance problem of the annual ground source heat pump is solved, and the technical problems of system operation economy and energy efficiency reduction are caused are solved.
Drawings
Fig. 1 is a schematic flowchart of a first embodiment of a campus integrated energy system optimization scheduling method considering a ground source heat pump according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a second embodiment of a campus integrated energy system optimization scheduling method considering a ground source heat pump according to an embodiment of the present application;
fig. 3 is a schematic flowchart illustrating an application example of a campus integrated energy system optimization scheduling method considering a ground source heat pump according to an embodiment of the present application;
FIG. 4 is a diagram of a central area energy system energy supply architecture in an application example of the present application;
fig. 5 is a year-round cooling and heating diagram of a ground source heat pump without considering the cold-heat balance in the application example of the application example;
fig. 6 is a year-round cooling and heating diagram of a ground source heat pump considering cooling and heating balance in an application example of the present application;
fig. 7 is a schematic structural diagram of a push device for pushing similar data in electronic handover according to an embodiment of the present application.
Detailed Description
The embodiment of the application provides a method and a device for optimally scheduling a park comprehensive energy system by considering a ground source heat pump, and solves the technical problems of system operation economy and energy efficiency reduction caused by the fact that the annual cold-heat balance problem of the ground source heat pump is not considered in the conventional optimal scheduling of the park comprehensive energy system.
In order to make the technical solutions of the present application better understood, the technical solutions of the present application will be clearly and completely described below with reference to the drawings in the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
To this end, referring to fig. 1, fig. 1 is a flowchart of a method for optimally scheduling a campus integrated energy system considering ground source heat pumps according to a first embodiment of the present application, where the method includes:
It should be noted that, when the optimal scheduling is performed on the campus comprehensive energy system, the system parameters of the campus comprehensive energy system are first obtained, and the system parameters can be directly obtained from the campus comprehensive energy system.
And 102, establishing operation constraint during the operation of the ground source heat pump based on the actual operation condition of the ground source heat pump according to the system parameters.
It should be noted that after the system parameters are obtained, the operation constraints of the ground source heat pump during operation are established based on the actual operation conditions of the ground source heat pump according to the system parameters.
And 103, constructing a double-layer optimization scheduling model of the ground source heat pump based on the operation constraint.
It should be noted that the two-layer optimized scheduling model is as follows: the system comprises an upper-layer scheduling model which takes the minimum annual operating cost as an objective function and is constrained by cold and heat balance, and a lower-layer scheduling model which takes the minimum daily operating cost as an objective function and is balanced by cold and heat.
And step 104, optimizing the double-layer optimized dispatching model and determining a dispatching result of the comprehensive energy system.
And 105, performing corresponding operation scheduling on the comprehensive energy system according to the scheduling result.
In this embodiment, first, system parameters of the park integrated energy system to be optimized are obtained, then, according to the system parameters, an operation constraint during operation of the ground source heat pump is constructed, then, according to the established operation constraint, a double-layer optimized scheduling model considering cold-heat balance of the ground source heat pump is constructed, the double-layer optimized scheduling model is solved, so that operation scheduling can be performed according to a scheduling result obtained by the solving, and when the park integrated energy system is scheduled, the influence of the ground source heat pump is fully considered, thereby solving the technical problems that the existing optimized scheduling of the park integrated energy system does not consider the annual cold-heat balance of the ground source heat pump, and the system operation economy and the energy efficiency are reduced.
The above is a method for optimizing and scheduling a park integrated energy system considering a ground source heat pump according to the first embodiment of the present application. Referring to fig. 2, fig. 2 is a flowchart of a campus integrated energy system optimization scheduling method considering ground source heat pumps according to a second embodiment of the present application, where the method includes:
It should be noted that the system parameters include: inputting electricity price, annual electricity load, annual cold load, annual heat load, annual illumination intensity, equipment information, equipment operation parameters and system scheduling interval parameters.
It will be appreciated that the annual electrical load, annual cooling load, annual heat load may be determined by the actual cooling, heating and electricity demand on the campus.
The equipment information and the equipment operation parameters are fixed parameters, and a unified standard is adopted on all typical days; the system scheduling interval parameter may be defined according to the requirements of the running scheduling scheme.
It should be noted that the operation constraints include: the system comprises a ground source heat pump unit, a cold supply operation constraint, a cold storage water tank operation constraint, a conventional water chilling unit operation constraint, an ice cold storage system operation constraint, a ground source heat pump unit heat supply operation constraint, a heat storage type electric boiler system operation constraint, a cold supply and demand balance constraint, a heat supply and demand balance constraint and an electricity supply and demand balance constraint.
(1) The cold supply operation constraint of the ground source heat pump unit is represented as follows:
in the formula,
the cooling power and the cold accumulation power of the ith ground source heat pump are respectively at the moment t;
the ith ground source heat pump refrigeration and cold accumulation operation modes at the moment t are respectively;
respectively the minimum and maximum refrigeration power of the heat pump host;
respectively performing cold supply and cold accumulation operation modes for the ground source heat pump system at the time t; omega HP Is a set of ground source heat pump hosts; n is a radical of HP The number of the ground source heat pump main machines is; p t HP The power consumed by the heat pump unit at the moment t; COP (coefficient of Performance) i HP Is the ith heat pump coefficient of performance, P HP,C,AU And P HP,S,AU The auxiliary equipment consumes power during cold supply and cold accumulation respectively.
(2) The cold storage water tank operation constraints are expressed as:
in the formula,
the cold supply power of the cold storage water tank is t moment; n is a radical of WT,CWP The number of the chilled water pumps of the cold accumulation water tank is equal to that of the chilled water pumps of the cold accumulation water tank;
the cooling operation mode of the ith cold storage water tank water pump at the moment t; w is a group of t CWT 、
The upper limit of the cold energy stored in the cold storage water tank at the time t and the upper limit of the cold energy stored in the single cold storage water tank are respectively set;
cold energy is stored in the cold accumulation water tank at the time of t-1; n is a radical of CWT The number of the cold accumulation water tanks is; epsilon CWT The self-cooling rate of the cold storage water tank is obtained; delta t is a scheduling step length; p t CWT The power consumption of the cold accumulation water tank is reduced;
the cold storage water tank is in a cold discharge operation mode at the moment t; p WT,CWP The rated power of the water tank cold storage/discharge water pump is provided.
(3) The conventional chiller operating constraints are expressed as:
in the formula,
the refrigeration power of the ith conventional cold water main machine at the moment t;
the cooling mode is the cooling mode of the ith conventional cold water main machine at the moment t; n is a radical of WC The number of the conventional cold water main machines is counted;
the lower limit and the upper limit of the refrigeration power are respectively; omega WC Is a collection of conventional cold water hosts; p t WC Consuming power for a conventional water chilling unit at time t; COP i WC Is the coefficient of performance of the conventional cold water main engine; p WC,AU The rated power of the auxiliary equipment of the conventional cold water main engine is provided.
(4) The ice storage system operating constraints are expressed as:
in the formula,
the refrigeration power of the ice cold storage system and the refrigeration power of the ice storage tank at the moment t are respectively;
the refrigeration and ice making powers of the ith dual-working-condition host at the moment t are respectively;
the lower limit and the upper limit of the refrigeration power of the dual-working-condition main machine are respectively set;
respectively the lower limit and the upper limit of the ice making power;
the ith dual-working-condition host machine refrigeration and ice-making operation modes are respectively at the moment t;
the operation mode of refrigerating and ice-making of the double-working-condition unit at the time t is shown;
cold energy is stored in the ice storage tank at the moment t;
cold energy is stored in the ice storage tank at the time of t-1;W IT 、
respectively storing the lower limit and the upper limit of the cold quantity for the ice storage tank; epsilon IT The self-cooling rate of the ice storage tank;
the upper limit of the cold discharge power of the ice storage tank is set; omega DC The method comprises the following steps of (1) being a set of dual-working-condition hosts; p t IS The power consumption of the ice storage system is t moment; COP i DC,C 、COP i DC,I Coefficient of performance of refrigeration and ice making for dual-working condition main machine, P t IS,AU The rated power consumption of the auxiliary equipment of the ice cold storage system.
(5) The heat supply operation constraint of the ground source heat pump unit is expressed as follows:
in the formula,
the heating power of the ith ground source heat pump at the moment t;
heating operation die for ith ground source heat pump at time tFormula (I);Q HP,H 、
the upper limit and the lower limit of the heating power of the ground source heat pump are respectively set; omega HP Is a set of ground source heat pump hosts; p t HP The power consumption and COP of the heat pump unit at the time t i HP,H Coefficient of performance of heat supply for ith heat pump, P HP,H,AU The auxiliary equipment consumes electric power when the ground source heat pump heats.
(6) The regenerative electric boiler system operating constraints are expressed as:
in the formula,
supplying power to the ith electric boiler at the moment t,
the heat supply power for the electric boiler unit is provided,
the heat storage power of the electric boiler unit is stored,
providing an upper energy supply power limit for the ith electric boiler;
an energy supply mark is provided for the heat storage water tank,
starting and stopping the ith electric boiler at the time t;
providing energy supply marks for the electric boiler unit; omega B Is a collection of electric boilers; w t HWT The integral heat storage capacity of the heat storage water tank at the moment t,
the integral heat storage capacity of the heat storage water tank at the time of t-1; n is a radical of hydrogen HWT Is the number of the heat storage water tanks eta B Efficiency of energy supply to electric boilers, e HWT The heat loss rate of the heat storage water tank; delta t is a scheduling step length;
respectively supplying heat and hot water to the heat storage water tank;
W HWT the upper limit and the lower limit of the heat storage capacity of the water tank;
the upper limit of the energy supply power of the heat storage water tank monomer; n is a radical of AWP The number of the air-conditioning hot water pumps is as follows,
for the start-stop state of the ith air conditioner hot water pump, P t AWP,CWT Rated power consumption of water pumps on two sides of the plate heat exchanger; p B,WP Rated power consumption is given to the electric boiler linkage circulating water pump; p t B 、P t AWP The power consumption of the electric boiler unit and the power consumption of the air-conditioning hot water interlocking pump are respectively.
(7) The cold/heat/electricity supply and demand balance constraint is expressed as:
in the formula,
for the time t the system cold load,
for the time t the thermal load of the system,
for the system electrical load at time t, P t PV 、P t TL Is the photovoltaic system output power, the tie line power, P, respectively at time t t TL,max The maximum allowed power value for the tie line.
And step 203, constructing an upper-layer scheduling model of the cold-heat balance constraint of the ground source heat pump based on the operation constraint by taking the minimum annual operation cost as an objective function.
It should be noted that the upper layer scheduling model is:
wherein,
for the cold-heat balance constraint of the ground source heat pump,
for a function based on the minimum annual operating cost, N S Typical number of days; n is a radical of T Total number of time segments for each scheduling day; p is a radical of s Probability of being a typical day s; Δ t is a scheduling interval;
purchasing electricity price at the time t;
purchasing power at t moment in a typical day m;
the refrigeration, the cold accumulation and the heating power of the ground source heat pump are respectively at the t moment in a typical day s.
And step 204, constructing a lower-layer scheduling model of the ground source heat pump cold-heat balance by taking the minimum daily operating cost as an objective function and based on operation constraints according to the output result of the upper-layer scheduling model.
It should be noted that the lower layer scheduling model is:
in the formula,
the minimum daily operating cost is taken as an objective function, the other two formulas are the constraints of cold-heat balance,
for dispatching the total output reference value, R, of the ground source heat pump in day k min 、R max Respectively is the lower limit percentage and the upper limit percentage of the total output of the ground source heat pump;
for scheduling the heating state of day k, 1 represents heating, 0 represents no heating,
for the cooling state of the scheduling day k, 1 indicates cooling, 0 indicates no cooling,
the refrigeration, the cold accumulation and the heating power of the ground source heat pump are respectively at the moment t in the scheduling day k.
The distribution method of the total output of the daily ground source heat pump comprises the following steps:
Q bal the balance energy is supplied to the ground source heat pump all the year round,
in order to dispatch the total output of the ground source heat pump in the period before the day k,
for dispatching the total output of the i-day ground source heat pump, R k In order to schedule the proportion of the total k output of the ground source heat pump, q k The total amount of the ground source heat pump output on the scheduling day k is calculated according to the corresponding typical day.
And 205, optimizing the double-layer optimized scheduling model and determining a scheduling result of the comprehensive energy system.
It should be noted that the scheduling result includes: the system comprises daily operating cost, starting and stopping instructions of energy supply equipment, operating conditions, energy supply power, energy supply of a ground source heat pump in a cooling period and a heating period and the like.
And step 206, performing corresponding operation scheduling on the comprehensive energy system according to the scheduling result.
In this embodiment, first, system parameters of the park integrated energy system to be optimized are obtained, then, according to the system parameters, an operation constraint during operation of the ground source heat pump is constructed, then, according to the established operation constraint, a double-layer optimized scheduling model considering cold-heat balance of the ground source heat pump is constructed, the double-layer optimized scheduling model is solved, so that operation scheduling can be performed according to a scheduling result obtained by the solving, and when the park integrated energy system is scheduled, the influence of the ground source heat pump is fully considered, thereby solving the technical problems that the existing optimized scheduling of the park integrated energy system does not consider the annual cold-heat balance of the ground source heat pump, and the system operation economy and the energy efficiency are reduced.
The above is a method for optimizing and scheduling a park integrated energy system considering a ground source heat pump according to a second embodiment of the present application. With reference to fig. 3 in detail, an application example of the optimal scheduling method for a park integrated energy system considering a ground source heat pump provided in an embodiment of the present application is as follows, where the application example includes:
the park comprehensive energy system selected in the application example meets the power demand by an external power grid and a photovoltaic system, the ground source heat pump system, the conventional cold water system and the ice storage system meet the system cold demand, the ground source heat pump system and the heat storage type electric boiler system meet the system heat supply demand, the system energy supply structure is shown in figure 4, and the equipment operation parameters are shown in table 1. The computer hardware environment for executing the optimized calculation is Intel (R) Xeon (R) CPU E5-2603, the dominant frequency is 1.60GHz, and the memory is 8 GB; the software environment is a Windows 10 operating system.
Inputting electricity price, reading annual electricity load, cold/heat load and illumination intensity, and selecting typical day, inputting equipment operation parameters, system scheduling interval and other parameters. In the application example, two typical days are selected every month, so 24 typical days are selected in total for solving and calculating the annual energy supply balance quantity of the ground source heat pump in the upper-layer scheduling model, and each scheduling day in the lower-layer optimized scheduling model also corresponds to one typical day of the corresponding month. The system scheduling interval is 1 h; the peak electricity price is 1.35 yuan/kWh (8:00-11:00, 18:00-23:00), the valley electricity price is 0.47 yuan/kWh (00:00-7:00, 23:00-00:00), and the normal electricity price is 0.89 yuan/kWh (7:00-8:00, 11:00-18: 00). The lower limit percentage and the upper limit percentage of the total output of the ground source heat pump in the lower layer optimization scheduling are respectively 0.95 percent and 1.05 percent.
The annual energy supply balance quantity of the ground source heat pump obtained by the upper layer scheduling model is 8.0514 x 10 6 kWh. The operation results of the system without considering the cold-heat balance of the ground source heat pump are shown in the table 2. The system operation results after considering the cold and heat balance of the ground source heat pump are shown in table 3.
TABLE 1 plant operating parameters
Table 2 does not consider the operation result of the cold-heat balance of the ground source heat pump
Table 3 operation result considering cold and heat balance of ground source heat pump
As can be seen by comparing tables 2 and 3 with fig. 5 and 6, in the optimization scheduling without considering the annual heat and cold balance of the ground source heat pump system, "energy accumulation" will occur due to the large difference between the total amounts of cold and heat supply of the ground source heat pump system, which results in the reduction of the energy supply efficiency of the ground source heat pump system and the increase of the operating cost of the energy system. After the annual cold and heat balance of the ground source heat pump is considered, the energy management platform plans the cold and heat balance amount according to the annual load condition and carries out the optimization calculation considering the cold and heat balance constraint all year around, the optimization scheduling of the cold and heat balance is relatively not considered, the cold supply amount of the ground source heat pump is increased, the heat supply amount is reduced to reduce the difference of the cold and heat output of the heat pump, the difference of the total cold and heat supply amount all year around is small, the dynamic balance of the total energy storage amount of the soil can be realized, and the energy management platform has great significance for maintaining the ecological balance of the natural environment and improving the energy utilization efficiency of the system.
The above is the optimal scheduling method of the park integrated energy system considering the ground source heat pump according to the second embodiment of the present application. Referring to fig. 7, fig. 7 is a schematic structural diagram of a pushing apparatus for similar data in electronic handover according to a third embodiment of the present application, where the apparatus includes:
an obtaining unit 701, configured to obtain system parameters of a campus comprehensive energy system to be optimized;
a first constructing unit 702, configured to establish an operation constraint when the ground source heat pump operates, based on an actual operation condition of the ground source heat pump according to a system parameter;
the second constructing unit 703 is configured to construct a double-layer optimized scheduling model of the ground source heat pump based on the operation constraint, where the double-layer optimized scheduling model is: the system comprises an upper-layer scheduling model which takes the minimum annual operating cost as a target function and is constrained by cold and heat balance, and a lower-layer scheduling model which takes the minimum daily operating cost as a target function and is balanced by cold and heat;
the optimizing unit 704 is used for optimizing the double-layer optimized scheduling model and determining a scheduling result of the comprehensive energy system;
and the scheduling unit 705 is configured to perform corresponding operation scheduling on the integrated energy system according to the scheduling result.
Alternatively,
the system parameters include: inputting electricity price, annual electricity load, annual cold load, annual heat load, annual illumination intensity, equipment information, equipment operation parameters and system scheduling interval parameters.
Alternatively,
the operational constraints include: the system comprises a ground source heat pump unit, a cold supply operation constraint, a cold storage water tank operation constraint, a conventional water chilling unit operation constraint, an ice cold storage system operation constraint, a ground source heat pump unit heat supply operation constraint, a heat storage type electric boiler system operation constraint, a cold supply and demand balance constraint, a heat supply and demand balance constraint and an electricity supply and demand balance constraint.
Alternatively,
based on operation constraint, constructing a double-layer optimization scheduling model of the ground source heat pump, wherein the double-layer optimization scheduling model is as follows: the upper-layer scheduling model which takes the minimum annual operating cost as an objective function and is constrained by cold and heat balance specifically comprises the following lower-layer scheduling model which takes the minimum daily operating cost as an objective function and is constrained by cold and heat balance:
constructing an upper-layer scheduling model of cold-heat balance constraint of the ground source heat pump based on operation constraint by taking the minimum annual operation cost as a target function;
and constructing a lower-layer scheduling model of the cold-heat balance of the ground source heat pump based on operation constraint by taking the minimum daily operation cost as an objective function according to the output result of the upper-layer scheduling model.
Alternatively,
the upper layer scheduling model is as follows:
wherein,
for the cold-heat balance constraint of the ground source heat pump,
for a function based on the minimum annual operating cost, N S Typical number of days; n is a radical of T Total number of time segments for each scheduling day; p is a radical of s Probability of being a typical day s; Δ t is a scheduling interval;
purchasing electricity price at the time t;
purchasing power at t moment in a typical day m;
the refrigeration, the cold accumulation and the heating power of the ground source heat pump are respectively at the t moment in a typical day s.
In this embodiment, first, system parameters of the park integrated energy system to be optimized are obtained, then, according to the system parameters, an operation constraint during operation of the ground source heat pump is constructed, then, according to the established operation constraint, a double-layer optimized scheduling model considering cold-heat balance of the ground source heat pump is constructed, the double-layer optimized scheduling model is solved, so that operation scheduling can be performed according to a scheduling result obtained by the solving, and when the park integrated energy system is scheduled, the influence of the ground source heat pump is fully considered, thereby solving the technical problems that the existing optimized scheduling of the park integrated energy system does not consider the annual cold-heat balance of the ground source heat pump, and the system operation economy and the energy efficiency are reduced.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The terms "comprises," "comprising," and any other variation thereof in the description and the drawings described above are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (6)
1. A campus comprehensive energy system optimization scheduling method considering a ground source heat pump is characterized by comprising the following steps:
acquiring system parameters of a park comprehensive energy system to be optimized;
according to the system parameters, establishing operation constraints when the ground source heat pump operates based on the actual operation condition of the ground source heat pump;
constructing a double-layer optimization scheduling model of the ground source heat pump based on the operation constraint, wherein the double-layer optimization scheduling model comprises the following steps: the system comprises an upper-layer scheduling model which takes the minimum annual operating cost as a target function and is constrained by cold and heat balance, and a lower-layer scheduling model which takes the minimum daily operating cost as a target function and is balanced by cold and heat;
optimizing the double-layer optimization scheduling model, and determining a scheduling result of the comprehensive energy system;
performing corresponding operation scheduling on the comprehensive energy system according to the scheduling result;
and constructing a double-layer optimization scheduling model of the ground source heat pump based on the operation constraint, wherein the double-layer optimization scheduling model comprises the following steps: the upper-layer scheduling model which takes the minimum annual operating cost as an objective function and is constrained by cold and heat balance specifically comprises the following lower-layer scheduling model which takes the minimum daily operating cost as an objective function and is constrained by cold and heat balance:
constructing an upper-layer scheduling model of the cold-heat balance constraint of the ground source heat pump based on the operation constraint by taking the minimum annual operation cost as a target function;
according to the output result of the upper layer scheduling model, a lower layer scheduling model of the ground source heat pump with the minimum daily operating cost as an objective function is constructed based on the operating constraint;
the upper layer scheduling model is as follows:
in the formula,
for a function based on the minimum annual operating cost, N s Typical number of days; n is a radical of T Total number of time segments for each scheduling day; p is a radical of s Probability of typical day s; Δ t is a scheduling interval;
purchasing electricity price at the time t;
purchasing power at t moment in typical day s;
the refrigeration, the cold accumulation and the heating power of the ground source heat pump are respectively at the t moment in a typical day s.
2. The optimal scheduling method for the integrated energy system of the park considering the ground source heat pump of claim 1, wherein the system parameters comprise: inputting electricity price, annual electricity load, annual cold load, annual heat load, annual illumination intensity, equipment information, equipment operation parameters and system scheduling interval parameters.
3. The optimal scheduling method for the park integrated energy system considering the ground source heat pump according to claim 1, wherein the operation constraints comprise: the system comprises a ground source heat pump unit, a cold supply operation constraint, a cold storage water tank operation constraint, a conventional water chilling unit operation constraint, an ice cold storage system operation constraint, a ground source heat pump unit heat supply operation constraint, a heat storage type electric boiler system operation constraint, a cold supply and demand balance constraint, a heat supply and demand balance constraint and an electricity supply and demand balance constraint.
4. The utility model provides a consider gardens comprehensive energy system optimization scheduling device of ground source heat pump which characterized in that includes:
the system comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring system parameters of a park comprehensive energy system to be optimized;
the first construction unit is used for establishing the operation constraint of the ground source heat pump during operation based on the actual operation condition of the ground source heat pump according to the system parameters;
a second constructing unit, configured to construct a double-layer optimized scheduling model of the ground source heat pump based on the operation constraint, where the double-layer optimized scheduling model is: the upper-layer scheduling model takes the minimum annual operating cost as a target function and is constrained by cold-heat balance, and the lower-layer scheduling model takes the minimum daily operating cost as a target function and is constrained by cold-heat balance;
the optimizing unit is used for optimizing the double-layer optimized scheduling model and determining a scheduling result of the comprehensive energy system;
the scheduling unit is used for carrying out corresponding operation scheduling on the comprehensive energy system according to the scheduling result;
and constructing a double-layer optimization scheduling model of the ground source heat pump based on the operation constraint, wherein the double-layer optimization scheduling model comprises the following steps: the upper-layer scheduling model which takes the minimum annual operating cost as an objective function and is constrained by cold and heat balance specifically comprises the following lower-layer scheduling model which takes the minimum daily operating cost as an objective function and is constrained by cold and heat balance:
constructing an upper-layer scheduling model of the cold-heat balance constraint of the ground source heat pump based on the operation constraint by taking the minimum annual operation cost as an objective function;
according to the output result of the upper layer scheduling model, a lower layer scheduling model of the ground source heat pump with the minimum daily operating cost as an objective function is constructed based on the operating constraint;
the upper layer scheduling model is as follows:
in the formula,
for a function based on the minimum annual operating cost, N s Typical number of days; n is a radical of T Total number of time segments for each scheduling day; p is a radical of s Probability of being a typical day s; Δ t is a scheduling interval;
purchasing electricity price at the time t;
purchasing power at t moment in typical day s;
the refrigeration, the cold accumulation and the heating power of the ground source heat pump are respectively at the t moment in a typical day s.
5. The optimal scheduling device of the park integrated energy system considering the ground source heat pump of claim 4, wherein the system parameters comprise: inputting electricity price, annual electricity load, annual cold load, annual heat load, annual illumination intensity, equipment information, equipment operation parameters and system scheduling interval parameters.
6. The optimal scheduling device of the campus integrated energy system considering the ground source heat pump as claimed in claim 4, wherein the operation constraints include: the system comprises a ground source heat pump unit, a cold supply operation constraint, a cold storage water tank operation constraint, a conventional water chilling unit operation constraint, an ice cold storage system operation constraint, a ground source heat pump unit heat supply operation constraint, a heat storage type electric boiler system operation constraint, a cold supply and demand balance constraint, a heat supply and demand balance constraint and an electricity supply and demand balance constraint.
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