CN111210064A - Energy system optimization method and device, intelligent terminal and storage medium - Google Patents
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Abstract
The embodiment of the invention provides an energy system optimization method, an energy system optimization device, an intelligent terminal and a storage medium, wherein the method comprises the following steps: acquiring a system target based on an energy system; according to the system target, acquiring a target calculation function corresponding to the system target; inputting the limiting conditions of the system target into the target calculation function to obtain an optimization strategy for realizing the system target; and optimizing the energy system according to the optimization strategy. The optimization process of the energy system can be more convenient and faster through the method and the device.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an energy system optimization method and device, an intelligent terminal and a storage medium.
Background
In the energy supply link, various optimizations are usually required for the energy system, such as how to minimize the cost of the energy system, how to maximize the efficiency of the energy system, and how to maximize the profit of the system energy. In order to achieve these optimization goals, a corresponding optimization strategy needs to be calculated to optimize the energy system.
In the prior art, during the process of system optimization, from bottom to top, each system device in the energy system is modeled first, then the parent system of the system devices is traced back to perform modeling optimization, then the rich system on the parent system is traced back to perform modeling optimization, and finally the whole model is completed. It can be seen that the optimization mode in the prior art is complicated, and modeling optimization needs to be performed on systems of different levels, so that the optimization of the whole energy system is realized.
Disclosure of Invention
The embodiment of the invention provides an energy system optimization method, an energy system optimization device, an intelligent terminal and a storage medium, which can enable the optimization process of an energy system to be more convenient and faster.
In one aspect, an embodiment of the present invention provides an energy system optimization method, where the method includes: acquiring a system target based on an energy system; according to the system target, acquiring a target calculation function corresponding to the system target; inputting the limiting conditions of the system target into the target calculation function to obtain an optimization strategy for realizing the system target; and optimizing the energy system according to the optimization strategy.
In one embodiment, the method further comprises: constructing the energy system; the energy system comprises at least one system unit.
In one embodiment, the optimization strategy includes a parameter strategy corresponding to each system unit in the energy system: the optimizing the energy system according to the optimization strategy includes: and configuring parameters for the corresponding system units according to the parameter strategies corresponding to each system unit in the energy system.
In one embodiment, the defining condition includes description information of the system units in the energy system, the description information includes common basic information and distinguishing characteristic information of the system units; and/or; the defined conditions further include user demand for an energy system; and/or; the defined conditions further comprise energy supply and demand balance and thermodynamic balance.
In another aspect, the present application further provides an energy system optimization apparatus, including: the acquisition module is used for acquiring a system target based on an energy system; the acquisition module is further used for acquiring a target calculation function corresponding to the system target according to the system target; the processing module is used for inputting the limiting conditions of the system target into the target calculation function to obtain an optimization strategy for realizing the system target;
and the optimization module is used for optimizing the energy system according to the optimization strategy.
In one embodiment, the energy system includes at least one system unit.
In one embodiment, the optimization strategy includes a parameter strategy corresponding to each system unit in the energy system: and the optimization module is specifically used for configuring parameters for the corresponding system units according to the parameter strategies corresponding to each system unit in the energy system.
In one embodiment, the defining condition includes description information of the system units in the energy system, the description information includes common basic information and distinguishing characteristic information of the system units; and/or; the defined conditions further include user demand for an energy system; and/or; the defined conditions further comprise energy supply and demand balance and thermodynamic balance.
The present invention also provides an intelligent terminal, comprising: the energy system optimization method comprises a processor and a memory, wherein the memory stores executable program codes, and the processor is used for calling the executable program codes and executing the energy system optimization method.
In another aspect, an embodiment of the present invention provides an intelligent terminal, including: the processor is used for calling the executable program codes and executing the method.
Accordingly, an embodiment of the present invention further provides a storage medium, which stores instructions that, when executed on a computer, cause the computer to perform the above method.
The optimization strategy for achieving the system target can be calculated according to various limiting conditions of the energy system, the limiting conditions can be modified according to requirements for different energy systems, flexible use is facilitated, data redundancy is avoided, and system optimization is facilitated.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of an energy system optimization method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of an energy system optimization method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an energy system optimization device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an intelligent terminal according to an embodiment of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
In order to make the technical solutions of the present invention better understood by those skilled in the art, the technical solutions in the embodiments of the present invention will be clearly described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but 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 invention.
The appearances of the phrases "first," "second," and "third," or the like, in the specification, claims, and figures are not necessarily all referring to the particular order in which they are presented. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an energy system optimization method according to an embodiment of the present invention. The method described in the embodiment of the invention comprises the following steps:
s101, acquiring a system target based on an energy system;
specifically, the energy system is a relatively large concept, and covers an energy park, a universal energy station, and is small as a specific energy device. When optimizing an energy system, it is necessary to set a system objective for optimization, such as minimizing the cost of the optimized energy system or minimizing the profit of the optimized energy system. This system target can be set by itself according to actual needs.
S102, acquiring a target calculation function corresponding to the system target according to the system target;
specifically, for different system targets, different target calculation functions may be preset, for example, the system target with the lowest cost has the target calculation function corresponding to the lowest cost, and the system target with the lowest profit has the target calculation function corresponding to the lowest profit.
S103, inputting the limiting conditions of the system target into the target calculation function to obtain an optimization strategy for realizing the system target;
specifically, the optimization strategy required to achieve the system objective can be calculated by inputting the defined conditions into the objective calculation function.
Wherein the defined condition includes description information of the system units in the energy system, the description information including common basic information and distinguishing characteristic information of the system units. When the system is optimized, the common basic information of each system unit in the energy system and the distinguishing characteristic information of different devices can be extracted in advance. If the universal station A and the universal station B have the same attribute information, the common attribute information can be used as common basic information, and the unique attribute information of the universal station A and the universal station B can be used as respective distinguishing characteristic information. The constraints may also include customer requirements, such as how much energy supply needs the customer needs. The defined conditions may also include energy supply reserves, etc. The defined conditions may also include energy supply and demand balance and thermodynamic balance.
S104, optimizing the energy system according to the optimization strategy.
Specifically, after the optimization strategy required for achieving the system target is calculated, the energy system can be optimized according to the optimization strategy. Wherein said optimizing said energy system according to said optimization strategy comprises: and configuring parameters for the corresponding system units according to the parameter strategies corresponding to each system unit in the energy system.
When describing the energy system in the prior art, it is often necessary to optimize the minimum subsystem first and then optimize the parent system of the subsystem, so as to optimize the whole energy system, which makes the optimization process more complicated. In the method, the optimization strategy for achieving the system target can be calculated according to various limiting conditions of the energy system, the limiting conditions can be modified according to requirements for different energy systems, flexible use is facilitated, data redundancy is avoided, and system optimization is facilitated.
Referring to fig. 2, fig. 2 is a schematic flow chart illustrating an energy system optimization method according to an embodiment of the present invention. The method described in the embodiment of the invention comprises the following steps:
s201, constructing the energy system; the energy system comprises at least one system unit.
S202, acquiring a system target based on an energy system;
specifically, the energy system is a relatively large concept, and covers an energy park, a universal energy station, and is small as a specific energy device. When optimizing an energy system, it is necessary to set a system objective for optimization, such as minimizing the cost of the optimized energy system or minimizing the profit of the optimized energy system. This system target can be set by itself according to actual needs.
S203, according to the system target, obtaining a target calculation function corresponding to the system target;
specifically, for different system targets, different target calculation functions may be preset, for example, the system target with the lowest cost has the target calculation function corresponding to the lowest cost, and the system target with the lowest profit has the target calculation function corresponding to the lowest profit.
S204, inputting the limiting conditions of the system target into the target calculation function to obtain an optimization strategy for realizing the system target;
specifically, the optimization strategy required to achieve the system objective can be calculated by inputting the defined conditions into the objective calculation function.
Wherein the defined condition includes description information of the system units in the energy system, the description information including common basic information and distinguishing characteristic information of the system units. When the system is optimized, the common basic information of each system unit in the energy system and the distinguishing characteristic information of different devices can be extracted in advance. If the universal station A and the universal station B have the same attribute information, the common attribute information can be used as common basic information, and the unique attribute information of the universal station A and the universal station B can be used as respective distinguishing characteristic information. The constraints may also include customer requirements, such as how much energy supply needs the customer needs. The defined conditions may also include energy supply reserves, etc. The defined conditions may also include energy supply and demand balance and thermodynamic balance. And inputting the limiting conditions into the objective calculation function, and calculating the optimization strategy required for achieving the system objective.
S205, configuring parameters for the corresponding system units according to the parameter strategies corresponding to each system unit in the energy system.
The output optimization strategy can comprise a parameter strategy for each system unit. And configuring the parameters of each system unit according to the parameter strategy so as to achieve the system target.
The optimization strategy for achieving the system target can be calculated according to various limiting conditions of the energy system, the limiting conditions can be modified according to requirements for different energy systems, flexible use is facilitated, data redundancy is avoided, and system optimization is facilitated.
The present invention also provides an embodiment of an energy system optimization apparatus, as shown in fig. 3, the apparatus described in the embodiment of the present invention includes:
an obtaining module 301, configured to obtain a system target based on an energy system;
specifically, when an energy system is optimized, a system target for optimization needs to be set, for example, to minimize the cost of the optimized energy system or to minimize the profit of the optimized energy system. This system target can be set by itself according to actual needs.
The obtaining module 301 is further configured to obtain, according to the system target, a target calculation function corresponding to the system target;
specifically, for different system targets, different target calculation functions may be preset, for example, the system target with the lowest cost has the target calculation function corresponding to the lowest cost, and the system target with the lowest profit has the target calculation function corresponding to the lowest profit.
A processing module 302, configured to input a constraint condition of the system objective into the objective computation function to obtain an optimization strategy for achieving the system objective;
specifically, the optimization strategy required to achieve the system objective can be calculated by inputting the defined conditions into the objective calculation function.
Wherein the defined condition includes description information of the system units in the energy system, the description information including common basic information and distinguishing characteristic information of the system units. When the system is optimized, the common basic information of each system unit in the energy system and the distinguishing characteristic information of different devices can be extracted in advance. If the universal station A and the universal station B have the same attribute information, the common attribute information can be used as common basic information, and the unique attribute information of the universal station A and the universal station B can be used as respective distinguishing characteristic information. The constraints may also include customer requirements, such as how much energy supply needs the customer needs. The defined conditions may also include energy supply reserves, etc. The defined conditions may also include energy supply and demand balance and thermodynamic balance.
An optimizing module 303, configured to optimize the energy system according to the optimizing policy.
Specifically, after the optimization strategy required for achieving the system target is calculated, the energy system can be optimized according to the optimization strategy. Wherein said optimizing said energy system according to said optimization strategy comprises: and configuring parameters for the corresponding system units according to the parameter strategies corresponding to each system unit in the energy system.
When describing the energy system in the prior art, it is often necessary to optimize the minimum subsystem first and then optimize the parent system of the subsystem, so as to optimize the whole energy system, which makes the optimization process more complicated. In the method, the optimization strategy for achieving the system target can be calculated according to various limiting conditions of the energy system, the limiting conditions can be modified according to requirements for different energy systems, flexible use is facilitated, data redundancy is avoided, and system optimization is facilitated.
The invention also provides an embodiment of an energy system optimization device, the device described in the embodiment of the invention comprises:
an obtaining module 31 for obtaining a system target based on an energy system; the energy system comprises at least one system unit.
Specifically, when an energy system is optimized, a system target for optimization needs to be set, for example, to minimize the cost of the optimized energy system or to minimize the profit of the optimized energy system. This system target can be set by itself according to actual needs.
The obtaining module 32 is further configured to obtain, according to the system target, a target calculation function corresponding to the system target;
specifically, for different system targets, different target calculation functions may be preset, for example, the system target with the lowest cost has the target calculation function corresponding to the lowest cost, and the system target with the lowest profit has the target calculation function corresponding to the lowest profit.
The processing module 33 is configured to input the constraint condition of the system objective into the objective computation function to obtain an optimization strategy for achieving the system objective;
specifically, the optimization strategy required to achieve the system objective can be calculated by inputting the defined conditions into the objective calculation function.
Wherein the defined condition includes description information of the system units in the energy system, the description information including common basic information and distinguishing characteristic information of the system units. When the system is optimized, the common basic information of each system unit in the energy system and the distinguishing characteristic information of different devices can be extracted in advance. If the universal station A and the universal station B have the same attribute information, the common attribute information can be used as common basic information, and the unique attribute information of the universal station A and the universal station B can be used as respective distinguishing characteristic information. The constraints may also include customer requirements, such as how much energy supply needs the customer needs. The defined conditions may also include energy supply reserves, etc. The defined conditions may also include energy supply and demand balance and thermodynamic balance.
The optimization module 34 is specifically configured to configure parameters for each system unit in the energy system according to the parameter policy corresponding to the system unit.
Specifically, after the optimization strategy required for achieving the system target is calculated, the energy system can be optimized according to the optimization strategy. Wherein said optimizing said energy system according to said optimization strategy comprises: and configuring parameters for the corresponding system units according to the parameter strategies corresponding to each system unit in the energy system.
The optimization strategy for achieving the system target can be calculated according to various limiting conditions of the energy system, the limiting conditions can be modified according to requirements for different energy systems, flexible use is facilitated, data redundancy is avoided, and system optimization is facilitated.
Referring to fig. 4, fig. 4 is a schematic structural diagram of an intelligent terminal according to an embodiment of the present invention. The intelligent terminal described in the embodiment of the invention comprises: a processor 401, a user interface 402, a communication interface 403, and a memory 404. The processor 401, the user interface 402, the communication interface 403, and the memory 404 may be connected by a bus or other means, and the bus connection is taken as an example in the embodiment of the present invention.
The processor 401 (or CPU) is a computing core and a control core of the terminal, and can analyze various instructions in the terminal and process various data of the terminal, for example: the CPU can be used for analyzing a power-on and power-off instruction sent to the terminal by a user and controlling the terminal to carry out power-on and power-off operation; the following steps are repeated: the CPU may transmit various types of interactive data between the internal structures of the terminal, and so on. The user interface 402 is a medium for implementing interaction and information exchange between a user and a terminal, and may be embodied by a Display screen (Display) for output, a Keyboard (Keyboard) for input, and the like, where the Keyboard may be a physical Keyboard, a virtual Keyboard on a touch screen, or a virtual Keyboard combining a physical Keyboard and a virtual Keyboard on a touch screen. The communication interface 403 may optionally include a standard wired interface, a wireless interface (e.g., Wi-Fi, mobile communication interface, etc.), controlled by the processor 401, for transceiving data. A Memory 404(Memory) is a Memory device in the terminal for storing programs and data. It is understood that the memory 404 here can comprise both the built-in memory of the terminal and, of course, also the expansion memory supported by the terminal. The memory 404 provides storage space that stores the operating system of the terminal, which may include, but is not limited to: android system, iOS system, Windows Phone system, etc., which are not limited in this respect.
In specific implementation, the processor 401, the user interface 402, the communication interface 403, and the memory 404 described in this embodiment of the present invention may execute the implementation manner of the intelligent terminal described in the energy system optimization method provided in this embodiment of the present invention, and may also execute the implementation manner described in the energy system optimization device provided in this embodiment of the present invention, which is not described herein again.
The embodiment of the present invention further provides a storage medium, where instructions are stored in the storage medium, and when the storage medium runs on a computer, the storage medium causes the computer to execute the method for optimizing an energy system according to the embodiment of the present invention.
Embodiments of the present invention also provide a computer program product containing instructions, which when run on a computer, cause the computer to perform a method for energy system optimization according to embodiments of the present invention.
It should be noted that, for simplicity of description, the above-mentioned embodiments of the method are described as a series of acts or combinations, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The above disclosure is intended to be illustrative of only some embodiments of the invention, and is not intended to limit the scope of the invention.
Claims (10)
1. A method for energy system optimization, the method comprising:
acquiring a system target based on an energy system;
according to the system target, acquiring a target calculation function corresponding to the system target;
inputting the limiting conditions of the system target into the target calculation function to obtain an optimization strategy for realizing the system target;
and optimizing the energy system according to the optimization strategy.
2. The method of claim 1, further comprising:
constructing the energy system; the energy system comprises at least one system unit.
3. The method of claim 2, wherein the optimization strategy comprises a parameter strategy for each system unit in the energy system:
the optimizing the energy system according to the optimization strategy includes:
and configuring parameters for the corresponding system units according to the parameter strategies corresponding to each system unit in the energy system.
4. The method according to any one of claims 1-3, wherein:
the defining condition comprises description information of the system units in the energy system, wherein the description information comprises common basic information and distinguishing characteristic information of the system units;
and/or;
the defined conditions further include user demand for an energy system;
and/or;
the defined conditions further comprise energy supply and demand balance and thermodynamic balance.
5. An energy system optimization apparatus, comprising:
the acquisition module is used for acquiring a system target based on an energy system;
the acquisition module is further used for acquiring a target calculation function corresponding to the system target according to the system target;
the processing module is used for inputting the limiting conditions of the system target into the target calculation function to obtain an optimization strategy for realizing the system target;
and the optimization module is used for optimizing the energy system according to the optimization strategy.
6. The apparatus of claim 5, wherein the energy system comprises at least one system unit.
7. The apparatus of claim 6, wherein the optimization strategy comprises a parameter strategy for each system unit in the energy system:
and the optimization module is specifically used for configuring parameters for the corresponding system units according to the parameter strategies corresponding to each system unit in the energy system.
8. The apparatus according to any one of claims 5-7, wherein:
the defining condition comprises description information of the system units in the energy system, wherein the description information comprises common basic information and distinguishing characteristic information of the system units;
and/or;
the defined conditions further include user demand for an energy system;
and/or;
the defined conditions further comprise energy supply and demand balance and thermodynamic balance.
9. An intelligent terminal, comprising: a processor and a memory, the memory storing executable program code, the processor being configured to invoke the executable program code to perform the energy system optimization method of any of claims 1 to 4.
10. A storage medium having stored therein instructions which, when run on a computer, cause the computer to perform the energy system optimization method according to any one of claims 1 to 4.
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Application publication date: 20200529 |
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