CN113191558A - Optimized scheduling method, device and terminal for comprehensive energy system - Google Patents
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Abstract
The invention is suitable for the technical field of comprehensive energy systems, and provides a comprehensive energy system optimal scheduling method, a device and a terminal, wherein the method comprises the following steps: constructing an objective function considering the operation cost of the target comprehensive energy system and the comfort level of a user; acquiring cold and hot load quantity pre-stored in a building of an area where a target comprehensive energy system is located; determining load demand corresponding to a target comprehensive energy system according to pre-stored cold and hot load, and constructing a constraint condition of a target function according to the load demand; and solving the target function based on the constraint condition to obtain the output of each device in the target comprehensive energy system, and performing optimized scheduling on the target comprehensive energy system according to the output of each device. The invention can more reasonably optimize and schedule the comprehensive energy system and reduce the operation cost of the system.
Description
Technical Field
The invention belongs to the technical field of comprehensive energy systems, and particularly relates to a comprehensive energy system optimal scheduling method, a device and a terminal.
Background
With the development of social economy, the energy demand is getting larger and larger, and the world faces serious energy crisis.
The comprehensive energy system taking combined cooling heating and power as a core unit uniformly schedules power grid electric energy, natural gas energy and distributed energy, meets various load requirements, improves the economic benefit and environmental benefit of the energy system, and is an important direction for the development of future energy systems.
The inventor of the application finds that for the optimal scheduling of the comprehensive energy system, the prior art mostly takes the economic optimization as the principle, and the consideration on the characteristic of load side demand, namely the coordination matching relationship between the comprehensive energy system demand side resource and the energy utilization system is less. In addition, the prior art does not consider the influence of cold and hot loads stored in the building, and has certain defects in the aspect of optimizing scheduling.
Disclosure of Invention
In view of this, embodiments of the present invention provide an optimal scheduling method, an optimal scheduling device, and a terminal for an integrated energy system, so as to perform optimal scheduling on the integrated energy system more reasonably.
The first aspect of the embodiments of the present invention provides an optimal scheduling method for an integrated energy system, including:
constructing an objective function considering the operation cost of the target comprehensive energy system and the comfort level of a user;
acquiring cold and hot load quantity pre-stored in a building of an area where a target comprehensive energy system is located;
determining load demand corresponding to a target comprehensive energy system according to pre-stored cold and hot load, and constructing a constraint condition of a target function according to the load demand;
and solving the target function based on the constraint condition to obtain the output of each device in the target comprehensive energy system, and performing optimized scheduling on the target comprehensive energy system according to the output of each device.
A second aspect of the embodiments of the present invention provides an optimized scheduling apparatus for an integrated energy system, including:
the construction module is used for constructing an objective function considering the operation cost of the objective comprehensive energy system and the comfort level of a user; acquiring cold and hot load quantity pre-stored in a building of an area where a target comprehensive energy system is located; determining load demand corresponding to a target comprehensive energy system according to pre-stored cold and hot load, and constructing a constraint condition of a target function according to the load demand;
and the optimization scheduling module is used for solving the target function based on the constraint condition to obtain the output of each device in the target integrated energy system, and performing optimization scheduling on the target integrated energy system according to the output of each device.
A third aspect of the embodiments of the present invention provides a terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the above-mentioned method for optimizing and scheduling an integrated energy system.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the method for optimizing and scheduling an integrated energy system as described above.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the method, the system is optimally scheduled by constructing the objective function considering the operation cost of the target comprehensive energy system and the comfort level of the user and integrating the operation cost and the comfort level of the user. Furthermore, the load demand corresponding to the target integrated energy system is determined according to the pre-stored cold and heat load quantity of the building in the area where the target integrated energy system is located, the constraint condition of the target function is constructed according to the load demand to solve the target function, the influence of the cold and heat load stored in the building on the load side is considered, and the coordination and matching between the resources on the demand side of the integrated energy system and the energy utilization system are realized. The invention can more reasonably optimize and schedule the comprehensive energy system and reduce the operation cost of the system.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic diagram of an energy supply structure of an integrated energy system according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of an implementation of the method for optimizing and scheduling an integrated energy system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an integrated energy system optimal scheduling device provided in an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
In the embodiment of the invention, the coupling characteristics and the user demand characteristics of the comprehensive energy system are firstly analyzed, and the energy supply and supply structure of the comprehensive energy system is established.
Specifically, the coupling characteristic analysis of the integrated energy system is as follows: in the comprehensive energy system, a thermodynamic system and a natural gas system which comprise energy storage equipment are coupled through a cogeneration unit or other energy conversion equipment and an electric power system, so that the comprehensive energy system has good controllability and flexibility, and the energy supply reliability and the comprehensive energy utilization efficiency of the comprehensive energy system are improved. The user demand characteristic analysis is as follows: (1) the user subjects are different: the comprehensive energy system has various user subjects, such as various users including industrial users, commercial users, residential users and the like, and the energy consumption requirements and energy consumption characteristics of different user subjects have important influence on the operation and optimization of the comprehensive energy system. (2) The data types are numerous: the comprehensive energy system comprises various energy sources such as cold, heat, gas and the like, the collection forms of various energy information are different, and meanwhile, the data monitoring of the system relates to various aspects such as an equipment end, a user end, a system end and the like, so that various energy utilization data types are very complicated. (3) The data volume is huge: from the regional integrated energy system user agent, the types and degrees of the energy demands of different users such as industrial enterprises, parks, office buildings, commercial complexes, agriculture, schools and the like are different, so that the user energy data are huge due to the diversity of the user agent. (4) The data relevance is strong: in the integrated energy system, various types of user data are not isolated and unrelated to each other, and the data are related to each other due to different subjects and different time periods, so that various types of data need to be organically integrated. (5) The data interactivity is strong: in the comprehensive energy system, various data can be transmitted in real time, data at a user side is processed and transmitted and is identified by the system, a database at the same system end can quickly respond and send instructions, data processing and transmission can be simultaneously carried out at two ends, and information sharing of the comprehensive energy system is realized to a certain degree.
An exemplary energy supply structure of an integrated energy system provided by an embodiment of the present invention is shown in fig. 1, and the energy supply structure is composed of a distributed power supply, a CCHP unit and an energy storage unit, where the distributed power supply includes a fan and a photovoltaic, the CCHP unit includes a micro gas turbine (micro combustion engine), a waste heat boiler, a lithium bromide refrigerator, and the like, and the energy storage unit includes an energy storage battery. The electricity demand of the user is supplied by a fan, a photovoltaic, a micro-gas turbine and an external power grid, and natural gas consumed by the cooling, heating and power triple supply system comes from the external gas grid; the cold, heat and electricity conversion, transmission and storage among the subsystems are realized by virtue of the hub. On the whole, on one hand, the mutual connection of the electric power and the natural gas is realized through energy network nodes, and the multi-energy cooperation of the comprehensive energy system is realized through information flow and energy flow; on the other hand, the complementary characteristics and the energy conversion forms of different energy devices enable energy sources such as electricity, heat, gas and the like to be utilized in a gradient manner, the energy utilization efficiency of the system is improved, and the method is an important precondition for the economic and efficient operation of the comprehensive energy system. And (3) researching an influence mechanism among a load side building, energy supply equipment and electricity price by combining an energy supply structure of the comprehensive energy system, and further establishing an optimized dispatching model of the comprehensive energy system to carry out optimized dispatching on the output of each equipment in the comprehensive energy system.
The embodiment of the invention provides an optimal scheduling method of an integrated energy system, which is shown in figure 2 and comprises the following steps:
step S201, an objective function considering the operation cost of the objective comprehensive energy system and the comfort of a user is constructed.
In the embodiment of the invention, the building energy utilization characteristics are considered, and the temperature range acceptable by the user is brought into the objective function, namely the objective function comprises two parts, namely the operation cost of the comprehensive energy system and the corresponding punishment that the comfort level of the user is not met.
And S202, acquiring the cold and heat load quantity pre-stored in the building of the region where the target comprehensive energy system is located.
In the embodiment of the invention, the load side building can store a certain cold and heat load, or in order to avoid cost increase caused by high electricity price in a peak period of demand, the refrigerating and heating equipment can be started in advance or output power is increased, and redundant cold and heat loads are stored in the building. Therefore, the influence of the cold and heat load stored in the load side building itself should also be taken into account when analyzing the load side demand of the integrated energy system. By carrying out thermodynamic analysis on the building, the cold and heat load stored by the building at the load side can be obtained.
And S203, determining the load demand corresponding to the target integrated energy system according to the pre-stored cold and hot load, and constructing the constraint condition of the target function according to the load demand.
In the embodiment of the invention, the load demand corresponding to the comprehensive energy system can be determined based on the cold and hot load quantity pre-stored in the load side building, so as to construct the constraint condition of the objective function.
And S204, solving the target function based on the constraint condition to obtain the output of each device in the target integrated energy system, and performing optimized scheduling on the target integrated energy system according to the output of each device.
According to the method, the system is optimally scheduled by constructing the objective function considering the operation cost of the target comprehensive energy system and the comfort level of the user and integrating the operation cost and the comfort level of the user. Furthermore, the load demand corresponding to the target integrated energy system is determined according to the pre-stored cold and heat load quantity of the building in the area where the target integrated energy system is located, the constraint condition of the target function is constructed according to the load demand to solve the target function, the influence of the cold and heat load stored in the building on the load side is considered, and the coordination and matching between the resources on the demand side of the integrated energy system and the energy utilization system are realized. The invention can more reasonably optimize and schedule the comprehensive energy system and reduce the operation cost of the system.
Optionally, as a possible implementation, the objective function is:
in the formula, Gex,tThe electricity purchase cost G of the target comprehensive energy system at the moment twh,tMaintenance cost for the target integrated energy system at time t, Gg,tCost of micro-combustion engine for target integrated energy system at time t, Gcf,tPunishment is carried out on the user comfort degree corresponding to the t moment, and N is the number of the optimized scheduling time interval.
In an embodiment of the present invention, the electricity purchase cost of the target integrated energy system may be calculated by the following formula:
Gex,t＝Pex,tCsell-|Pex,t|Cpurchase
in the formula, Pex,tFor exchanging power between building and grid, CsellFor selling electric energy in the system, CpurchaseThe purchase price of the electric energy of the power grid.
In an embodiment of the present invention, the maintenance cost of the target integrated energy system may be calculated by the following formula:
Gwh,t＝(PWT,tCWT,om+PPV,tCPV,om+|Pbt,t|Cbt,om+PMT,tCMT,om+γMTPMT,tCAC,om)
in the formula, PWT,t、PPV,t、Pbt,t、PMT,tRespectively the output of a fan, a photovoltaic, a storage battery and a micro-combustion engine, CWT_om、CPV_om、Cbt_om、CMT_omRespectively represent the unit maintenance cost of a fan, a photovoltaic, a storage battery and a micro-combustion engine, gammaMTIs the micro-combustion engine thermoelectric ratio, CAC,omThe unit maintenance cost of the refrigeration and heating equipment is reduced.
In an embodiment of the present invention, the micro-combustion engine cost may be calculated by the following formula:
Gg,t＝CgPg
in the formula, CgCost of natural gas consumed per unit power of micro-combustion engine, PgThe power of the micro combustion engine.
In an embodiment of the present invention, the user comfort penalty may be calculated by the following formula:
Gcf,t＝μ|Tin,t-Tset|
in the formula, Gcf,tPunishment is carried out on the comfort level of the user corresponding to the time T, mu is a punishment coefficient, Tin,tIs the indoor temperature at time T, TsetIs a preset standard temperature.
Optionally, as a possible implementation manner, the load demand amount corresponding to the target integrated energy system is determined according to the pre-stored cold and hot load amount, which may be detailed as follows:
acquiring the total load demand of a target comprehensive energy system;
and calculating the difference value between the total load demand and the pre-stored cold and hot load quantity to obtain the load demand corresponding to the target comprehensive energy system.
In the embodiment of the invention, the load demand corresponding to the target integrated energy system comprises an electric load demand and a cold and hot load demand.
Optionally, as a possible implementation, the constraint condition includes an electrical load balance constraint, a cooling and heating load constraint, a building cooling and heating balance constraint, a device power constraint, and an indoor temperature constraint.
Optionally, as a possible implementation, the constructing the constraint condition of the objective function according to the load demand includes constructing an electrical load balance constraint according to the electrical load demand:
Pel,t＝Pex,t+PWT,t+PPV,t+Pbt,t+PMT,t
in the formula, Pel,tIs the electrical load demand, P, of the system at time tex,tFor the exchange power of the system at time t, PWT,tIs the fan output in the system at the time t, PPV,tIs the photovoltaic output, P, in the system at time tbt,tA charging and discharging force of the storage battery in the system at the time t, PMT,tThe output of the micro combustion engine in the system at the moment t.
Optionally, as a possible implementation, constructing a constraint condition of the objective function according to the load demand, further includes:
according to the cold and heat load demand, building cold and heat balance constraint:
in the formula, Qwall,tHeat exchanged for building walls at time t, Qwin,tHeat exchanged for the windows of the building at time t, Qsw,tFor the heat transmitted by the solar radiation through the building wall at time t, Qsg,tHeat transferred through the building window for solar thermal radiation at time t, Qin,tCold and heat loads, Q, pre-stored for the building at time tXQ,tRho is the air density, C is the air specific heat capacity, V is the indoor air capacity, T is the cold and heat load demand at time Tin,tIs the room temperature at time t.
Qwall,t，Qwin,t，Qsw,t，Qsg,t，Qin,tThe calculation formula of (a) is as follows:
in the formula (I), the compound is shown in the specification,
the heat dissipation capacity of the human body is shown,
indicating the presence of a person at the room rate,
represents the load usage rate at each point in time,
denotes the per-person occupied area, ε(i)Indicating the degree of heat dissipation, S, of the device(i)The area of the floor is the area of the floor,
power density value for illumination, IT,JTotal intensity of solar radiation, R, for inclined planesse,jThe thermal resistance of the wall body and the thermal convection and thermal radiation of outdoor air.
Optionally, as a possible implementation, the cold and heat load constraint is:
QAC,t＝QXQ,t
in the formula, QAC,tThe power of the refrigerating and heating equipment.
Optionally, as a possible implementation, the device power constraint is:
in the formula, Wbt(0)Is the initial charge of the battery, etach、ηdisThe charge-discharge efficiency of the battery.
Optionally, as a possible implementation, the indoor temperature constraint is:
in the formula (I), the compound is shown in the specification, inTis the lower limit value of the indoor temperature,
is an upper limit value of the indoor temperature.
The feasibility of the comprehensive energy system optimization scheduling method provided by the embodiment of the invention is verified through simulation experiments.
The method comprises the steps of selecting a certain typical day in summer in northern China, obtaining information such as solar radiation intensity, outdoor temperature, building related data and comprehensive energy system equipment parameters, respectively calculating an optimized scheduling result considering cold and hot loads stored in a building and an optimized scheduling result not considering cold and hot loads stored in the building, and comparing and finding that the optimized scheduling scheme considering cold and hot loads stored in the building can achieve charging and discharging management of cold and hot balance of the building, reduce operation cost and guarantee comfort degree of users while improving energy efficiency.
The plant parameters of the integrated energy system can be referred to in table 1. It should be noted that table 1 only shows part of the information, and the information such as solar radiation intensity curve, outdoor temperature, building related data and the like required for simulation calculation can be obtained in advance, and are not shown one by one here.
TABLE 1 Equipment parameter information Table
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
An embodiment of the present invention further provides an optimized scheduling apparatus for an integrated energy system, and referring to fig. 3, the apparatus 30 includes:
a construction module 31, configured to construct an objective function considering the operation cost of the target integrated energy system and the comfort of the user; acquiring cold and hot load quantity pre-stored in a building of an area where a target comprehensive energy system is located; and determining the load demand corresponding to the target integrated energy system according to the pre-stored cold and hot load, and constructing the constraint condition of the target function according to the load demand.
And the optimization scheduling module 32 is configured to solve the objective function based on the constraint condition to obtain the output of each device in the target integrated energy system, and perform optimization scheduling on the target integrated energy system according to the output of each device.
Optionally, as a possible implementation, the objective function is:
in the formula, Gex,tThe electricity purchase cost G of the target comprehensive energy system at the moment twh,tMaintenance cost for the target integrated energy system at time t, Gg,tCost of micro-combustion engine for target integrated energy system at time t, Gcf,tPunishment is carried out on the user comfort degree corresponding to the t moment, and N is the number of the optimized scheduling time interval.
Optionally, as a possible implementation, the building module 31 is configured to calculate the user comfort penalty according to the following formula:
Gcf,t＝μ|Tin,t-Tset|
in the formula, Gcf,tPunishment is carried out on the comfort level of the user corresponding to the time T, mu is a punishment coefficient, Tin,tIs the indoor temperature at time T, TsetIs a preset standard temperature.
Optionally, as a possible implementation, the building module 31 is configured to:
acquiring the total load demand of a target comprehensive energy system;
and calculating the difference value between the total load demand and the pre-stored cold and hot load quantity to obtain the load demand corresponding to the target comprehensive energy system.
Optionally, as a possible implementation, the constraint condition includes an electrical load balance constraint, a cooling and heating load constraint, a building cooling and heating balance constraint, a device power constraint, and an indoor temperature constraint.
Optionally, as a possible implementation, the load demand includes an electric load demand and a cold and hot load demand; the building block 31 is configured to:
and constructing an electric load balance constraint according to the electric load demand:
Pel,t＝Pex,t+PWT,t+PPV,t+Pbt,t+PMT,t
in the formula, Pel,tIs the electrical load demand, P, of the system at time tex,tFor the exchange power of the system at time t, PWT,tIs the fan output in the system at the time t, PPV,tIs the photovoltaic output, P, in the system at time tbt,tFor charging and discharging storage batteries in a system at time tElectric power, PMT,tThe output of the micro combustion engine in the system at the moment t.
Optionally, as a possible implementation, the load demand includes an electric load demand and a cold and hot load demand; the building block 31 is configured to:
according to the cold and heat load demand, building cold and heat balance constraint:
in the formula, Qwall,tHeat exchanged for building walls at time t, Qwin,tHeat exchanged for the windows of the building at time t, Qsw,tFor the heat transmitted by the solar radiation through the building wall at time t, Qsg,tHeat transferred through the building window for solar thermal radiation at time t, Qin,tCold and heat loads, Q, pre-stored for the building at time tXQ,tRho is the air density, C is the air specific heat capacity, V is the indoor air capacity, T is the cold and heat load demand at time Tin,tIs the room temperature at time t.
Fig. 4 is a schematic diagram of a terminal according to an embodiment of the present invention. As shown in fig. 4, the terminal 40 of this embodiment includes: a processor 41, a memory 42, and a computer program 43 stored in the memory 42 and executable on the processor 41. The processor 41 executes the computer program 43 to implement the steps of the above-mentioned embodiments of the method for optimizing and scheduling an integrated energy system, such as the steps S201 to S204 shown in fig. 2. Alternatively, the processor 41 implements the functions of the modules in the above-described device embodiments, such as the functions of the modules 31 to 32 shown in fig. 3, when executing the computer program 43.
Illustratively, the computer program 43 may be divided into one or more modules/units, which are stored in the memory 42 and executed by the processor 41 to implement the present invention. One or more of the modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 43 in the terminal 40. For example, the computer program 43 may be divided into a building module 31 and an optimization scheduling module 32 (module in a virtual device), and the specific functions of each module are as follows:
a construction module 31, configured to construct an objective function considering the operation cost of the target integrated energy system and the comfort of the user; acquiring cold and hot load quantity pre-stored in a building of an area where a target comprehensive energy system is located; and determining the load demand corresponding to the target integrated energy system according to the pre-stored cold and hot load, and constructing the constraint condition of the target function according to the load demand.
And the optimization scheduling module 32 is configured to solve the objective function based on the constraint condition to obtain the output of each device in the target integrated energy system, and perform optimization scheduling on the target integrated energy system according to the output of each device.
The terminal 40 may be a computing device such as a desktop computer, a notebook, a palm top computer, and a cloud server. The terminal 40 may include, but is not limited to, a processor 41, a memory 42. Those skilled in the art will appreciate that fig. 4 is merely an example of a terminal 40 and does not constitute a limitation of terminal 40, and may include more or fewer components than shown, or some components in combination, or different components, e.g., terminal 40 may also include input-output devices, network access devices, buses, etc.
The Processor 41 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 42 may be an internal storage unit of the terminal 40, such as a hard disk or a memory of the terminal 40. The memory 42 may also be an external storage device of the terminal 40, such as a plug-in hard disk provided on the terminal 40, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 42 may also include both internal and external memory units of the terminal 40. The memory 42 is used for storing computer programs and other programs and data required by the terminal 40. The memory 42 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other ways. For example, the above-described apparatus/terminal embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, for example, a plurality of 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.
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 invention 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 modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method according to the embodiments of the present invention may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, in accordance with legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunications signals.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will 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; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. An optimal scheduling method for an integrated energy system is characterized by comprising the following steps:
constructing an objective function considering the operation cost of the target comprehensive energy system and the comfort level of a user;
acquiring cold and hot load quantity pre-stored in a building of the region where the target comprehensive energy system is located;
determining the load demand corresponding to the target integrated energy system according to the pre-stored cold and hot load, and constructing the constraint condition of the target function according to the load demand;
and solving the target function based on the constraint condition to obtain the output of each device in the target integrated energy system, and performing optimized scheduling on the target integrated energy system according to the output of each device.
2. The method for optimal scheduling of an integrated energy system according to claim 1, wherein the objective function is:
in the formula, Gex,tFor the electricity purchase cost, G, of the target integrated energy system at time twh,tMaintenance cost, G, for the target integrated energy system at time tg,tCost of micro gas turbine for the target integrated energy system at time t, Gcf,tPunishment is carried out on the user comfort degree corresponding to the t moment, and N is the number of the optimized scheduling time interval.
3. The optimal scheduling method of the integrated energy system according to claim 2, wherein the calculation method of the user comfort penalty comprises:
Gcf,t＝μ|Tin,t-Tset|
in the formula, Gcf,tPunishment is carried out on the comfort level of the user corresponding to the time T, mu is a punishment coefficient, Tin,tIs the indoor temperature at time T, TsetIs a preset standard temperature.
4. The method for optimally scheduling the integrated energy system according to claim 1, wherein the determining the load demand amount corresponding to the target integrated energy system according to the pre-stored cold and hot load amount comprises:
acquiring the total load demand of the target comprehensive energy system;
and calculating the difference value between the total load demand and the pre-stored cold and hot load quantity to obtain the load demand quantity corresponding to the target comprehensive energy system.
5. The method for optimal scheduling of an integrated energy system according to claim 1, wherein the constraints include an electrical load balancing constraint, a cold and heat load constraint, a building cold and heat balancing constraint, a plant power constraint, and an indoor temperature constraint.
6. The method according to claim 5, wherein the load demand includes an electrical load demand and a cold and thermal load demand; according to the load demand, constructing a constraint condition of the objective function, wherein the constraint condition comprises the following steps:
constructing the electrical load balancing constraint according to the electrical load demand:
Pel,t＝Pex,t+PWT,t+PPV,t+Pbt,t+PMT,t
in the formula, Pel,tIs the electrical load demand, P, of the system at time tex,tFor the exchange power of the system at time t, PWT,tIs the fan output in the system at the time t, PPV,tIs the photovoltaic output, P, in the system at time tbt,tA charging and discharging force of the storage battery in the system at the time t, PMT,tThe output of the micro combustion engine in the system at the moment t.
7. The method of optimal scheduling of an integrated energy system according to claim 6, wherein constructing constraints for said objective function based on said load demand further comprises:
constructing the building cold-heat balance constraint according to the cold-heat load demand:
in the formula, Qwall,tHeat exchanged for building walls at time t, Qwin,tHeat exchanged for the windows of the building at time t, Qsw,tFor the heat transmitted by the solar radiation through the building wall at time t, Qsg,tHeat transferred through the building window for solar thermal radiation at time t, Qin,tCold and heat loads, Q, pre-stored for the building at time tXQ,tRho is the air density, C is the air specific heat capacity, V is the indoor air capacity, T is the cold and heat load demand at time Tin,tIs the room temperature at time t.
8. An optimized scheduling device for an integrated energy system, comprising:
the construction module is used for constructing an objective function considering the operation cost of the objective comprehensive energy system and the comfort level of a user; acquiring cold and hot load quantity pre-stored in a building of the region where the target comprehensive energy system is located; determining the load demand corresponding to the target integrated energy system according to the pre-stored cold and hot load, and constructing the constraint condition of the target function according to the load demand;
and the optimization scheduling module is used for solving the target function based on the constraint condition to obtain the output of each device in the target integrated energy system, and performing optimization scheduling on the target integrated energy system according to the output of each device.
9. A terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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