CN112365072B - Integrated design scheme generation method and system for park integrated energy system - Google Patents
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Abstract
The invention discloses a park comprehensive energy system integrated design scheme generation method and a system, comprising the following steps: acquiring basic information of each building in the park; acquiring annual load data of each building in the park according to the basic information of each building in the park; inputting annual load data of all buildings in the park into an optimal design model, and establishing a three-layer nested optimal design model; and (4) the optimization targets of the three layers of nested optimization design models are consistent, different optimization algorithms are respectively used for solving each layer of nested optimization design model, and iteration is carried out in a circulating mode until the optimal planning design scheme of the park comprehensive energy system is obtained. Aiming at the comprehensive energy system of the park, the invention innovatively provides a nesting optimization design method integrating building load, system structure, equipment capacity and operation mode, thereby obtaining an optimal planning scheme.
Description
Technical Field
The application relates to the technical field of environmental protection and energy conservation, in particular to a park comprehensive energy system integrated design scheme generation method and system.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
The Integrated Energy System (IES) devices with multiple complementary energies have various types and complex structures, different application scenarios and environments and large difference of cooling, heating and power loads, and the inherent fluctuation and uncertainty of new energies make the operation modes of the system variable, further deepen the coupling relationship between the device capacity and the operation modes, and make the optimization design extremely difficult.
In the current comprehensive energy actual engineering, on one hand, building load data is very difficult to collect, and particularly no historical load data is used for reference in a newly built park; on the other hand, the method has the advantages of large dependence on personal experiences of designers and engineers, strong subjectivity, low reliability and no scientific and standardized planning and design platform. Although the design method of the comprehensive energy system is abundant, a planning design method integrating building load, system structure, equipment capacity and operation mode is not available, and an optimal scheme is difficult to obtain.
The planning and design method of the comprehensive energy system, as proposed in the patent "planning and design method of a regional comprehensive energy system", adopts a system scheme and an operation strategy chain design idea, and there is no parameter feedback between the two, so that the optimal performance is difficult to obtain.
Disclosure of Invention
In order to overcome the defects of the prior art, the application provides a method and a system for generating a park integrated energy system design scheme;
in a first aspect, the application provides a method for generating a park integrated energy system design scheme;
the method for generating the integrated design scheme of the park comprehensive energy system comprises the following steps:
acquiring basic information of each building in the park; acquiring annual load data of each building in the park according to the basic information of each building in the park;
inputting annual load data of all buildings in the park into an optimal design model, and establishing a three-layer nested optimal design model;
and (4) the optimization targets of the three layers of nested optimization design models are consistent, different optimization algorithms are respectively used for solving each layer of nested optimization design model, and iteration is carried out in a circulating mode until the optimal planning design scheme of the park comprehensive energy system is obtained.
In a second aspect, the application provides a park integrated energy system design scheme generation system;
park integrated energy system integration design scheme generation system includes:
an acquisition module configured to: acquiring basic information of each building in a park; acquiring annual load data of each building in the park according to the basic information of each building in the park;
a model building module configured to: inputting annual load data of all buildings in the park into an optimal design model, and establishing a three-layer nested optimal design model;
a scenario generation module configured to: and (4) the optimization targets of the three layers of nested optimization design models are consistent, different optimization algorithms are respectively used for solving each layer of nested optimization design model, and iteration is carried out in a circulating mode until the optimal planning design scheme of the park comprehensive energy system is obtained.
In a third aspect, the present application further provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein a processor is connected to the memory, the one or more computer programs being stored in the memory, and when the electronic device is running, the processor executes the one or more computer programs stored in the memory, so as to make the electronic device execute the method according to the first aspect.
In a fourth aspect, the present application also provides a computer-readable storage medium for storing computer instructions which, when executed by a processor, perform the method of the first aspect.
In a fifth aspect, the present application also provides a computer program (product) comprising a computer program for implementing the method of any of the preceding first aspects when run on one or more processors.
Compared with the prior art, the beneficial effects of this application are:
1. aiming at a park comprehensive energy system, the invention innovatively provides a nested optimal design method integrating building load, system structure, equipment capacity and operation mode, thereby obtaining an optimal planning scheme;
2. based on an integrated design method, a planning design platform comprising five functions of load simulation, structural design, capacity configuration, operation optimization and scheme analysis is constructed, a human-computer interface is developed based on Web through a mixed software programming technology, and system scheme optimization is realized by utilizing a mode of cooperation of three software, namely labview, matlab and Trnsys.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, are included to provide a further understanding of the application, and the description of the exemplary embodiments and illustrations of the application are intended to explain the application and are not intended to limit the application.
FIG. 1 is a flow chart of a method of the first embodiment;
FIG. 2 is a first embodiment of a park integrated energy system;
FIG. 3 is a load-structure-capacity-operation integration design method of the first embodiment;
FIG. 4 is a diagram of a planning and design platform architecture of the first embodiment;
FIG. 5 is a flow chart of the planning and design project of the first embodiment.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure herein. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and it should be understood that the terms "comprises" and "comprising", and any variation thereof, 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.
The embodiments and features of the embodiments of the invention may be combined with each other without conflict.
Example one
The embodiment provides a method for generating an integrated design scheme of a park comprehensive energy system;
as shown in fig. 1, the method for generating the integrated design scheme of the park integrated energy system includes:
s101: acquiring basic information of each building in a park; acquiring annual load data of each building in the park according to the basic information of each building in the park;
s102: inputting annual load data of all buildings in the park into an optimal design model, and establishing a three-layer nested optimal design model;
s103: and (4) the optimization targets of the three layers of nested optimization design models are consistent, different optimization algorithms are respectively used for solving each layer of nested optimization design model, and iteration is carried out in a circulating mode until the optimal planning design scheme of the park comprehensive energy system is obtained.
Further, the basic information of each building in the campus comprises: the orientation of each building, the story height of each building, the footprint of each building, and the indoor set temperature of each building.
Further, acquiring annual load data of each building in the park according to the basic information of each building in the park; the annual load data of each building in the garden is obtained by using Trnsys building energy simulation software according to the basic information of each building in the garden.
It should be understood that the basic information of each building in the campus further includes: geographical location (latitude and longitude), building height, area, wall material, wall position, window position and area ventilation, indoor temperature setting, etc.
As one or more embodiments, the three-layer nested optimal design model sequentially comprises, from top to bottom: the system comprises a structural design model, a capacity configuration model and an operation optimization model.
As one or more embodiments, inputting annual load data of all buildings in the park into an optimized design model, and establishing a three-layer nested optimized design model; the method comprises the following specific steps:
inputting all annual load data of buildings in the park into an optimization design model, wherein the optimization design model takes three indexes of energy, environment and economy as optimization targets, takes equipment types, equipment capacity and equipment output plans as optimization variables, and takes cold, heat and electric energy balance and the equipment model as constraints to establish a three-layer nested optimization design model.
Further, the optimization design model takes three indexes of energy, environment and economy as optimization targets, and the optimization targets are specifically weighted summation of annual energy saving rate, annual cost saving rate and annual carbon dioxide emission reduction rate.
Furthermore, the optimization design model takes three indexes of energy, environment and economy as optimization targets, and a sub-supply system as a comparison system, wherein the sub-supply system consists of a power grid, a heating boiler and an air conditioning system; the optimization target is expressed by a specific formula as follows:
maxV＝ω 1 PESR+ω 2 ACR+ω 3 CERR (1)
wherein, PESR is the annual energy saving rate, ACR is the annual cost saving rate, and CERR is the annual carbon dioxide emission reduction rate. Omega 1 As an energy indicator weight factor, omega 2 As a weight factor of the economic indicator, omega 3 Is an environmental index weight factor, and V is a comprehensive optimization target. F SP Total annual energy consumption of the separate supply system, F IES Is the total annual energy consumption of the integrated energy system, C SP Total annual cost of the distribution system, C IES For the annual total cost, CE, of an integrated energy system SP Total annual carbon dioxide emission, CE, of the separate supply system IES Is the total annual carbon dioxide emissions of the CCHP system.
Further, the calculation formula of the annual energy consumption total amount of the comprehensive energy system is as follows:
the total annual energy consumption calculation formula of the sub-supply system is as follows:
the calculation formula of the annual total cost of the comprehensive energy system is as follows:
C IES ＝C IES,EQ +C IES,OM +C IES,OP (7)
the calculation formula of the annual total cost of the distribution and supply system is as follows:
C SP ＝C SP,EQ +C SP,OM +C SP,OP (8)
wherein, C IES,EQ Annual cost of equipment investment for the integrated energy system; c IES,OM Annual operating and maintenance costs for the integrated energy system; c IES,OP Annual operating costs for the integrated energy system; c SP,EQ Annual cost for investment of system equipment is divided; c SP,OM Annual operating maintenance costs for the distribution system; c SP,OP The annual operating cost of the system is allocated.
The annual operating cost of the integrated energy system includes a fuel cost and an electricity purchase cost, and is expressed as follows:
C IES,EQ ＝C IES,IN R (10)
C IES,OM ＝σC IES,IN (11)
wherein, P grid The price of electricity at the time t is positive when electricity is purchased and negative when electricity is sold; p gas Is the gas price; c IES,IN Initial investment costs to purchase equipment for the integrated energy system; r is an investment return coefficient; and sigma is a proportional coefficient of the operating and maintenance cost of the system.
The recovery on investment factor R is expressed as:
wherein k is the equipment lifetime; r is the reference discount rate.
Further, the annual total charge C of the distribution system SP Further expressed as:
C SP,EQ ＝C SP,IN R (14)
C SP,OM ＝σC SP,IN (15)
wherein, E SP,grid Distributing the purchased electric quantity of the system for t time; c SP,IN The investment cost of the distribution system.
Further, the total annual carbon dioxide emissions from the integrated energy system are expressed as:
wherein, mu grid Carbon dioxide emission coefficient of thermal power generation; mu.s gas As natural gasCarbon dioxide emission coefficient of (2).
Further, the total annual carbon dioxide emission of the separate supply system is expressed as:
further, the method takes the equipment type, the equipment capacity and the equipment output plan as optimization variables; the device type specifically includes: the system comprises equipment such as a photovoltaic system, a wind power generation system, a generator set, a photo-thermal system, a gas boiler, an absorption refrigerating unit, an air source heat pump, a ground source heat pump, an energy storage (cold, heat and electricity) system and the like, wherein the existence and the capacity of the equipment are optimized variables.
An equipment contribution plan comprising: the generated power of the generator set is an optimized variable, and the output of other equipment is easy to obtain through an energy balance relation.
Further, the cold, heat and electric energy balance and equipment model are taken as constraints; the formula is expressed as:
the electrical balance equation is:
E load (t)+E p (t)＝α pv E pv (t)+α wt E wt (t)+E grid (t)+α pgu E pgu (t)+α es E s (t) (18)
wherein alpha is pv 、α wt 、α pgu And alpha es The purchase state of the equipment is 1, and the purchase state of the equipment is not 0; e load Is an electrical load; e pv Outputting power for the photovoltaic system; e wt Outputting power for the wind power system; e pgu Outputting power for the generator set; e grid Purchasing/selling power, purchasing electricity E for the grid grid >0, sell electricity E grid <0；E s For input/output of power to/from the electrical energy storage device, E s >0, input E s <0；E p The power consumption of the heat pump.
Wherein the fuel gas consumption F required by the internal combustion generator set at the moment t pgu Comprises the following steps:
wherein eta is th,pgu And η e,pgu Respectively the thermal efficiency and the electrical efficiency of the internal combustion generator set.
The heat balance of the system is as follows:
H load (t)＝α he Q he (t)+α b Q b (t)+α ashp Q ashp (t)+α gshp Q gshp (t)+α hs Q s (t) (20)
wherein H load Is a thermal load; q he The heat exchange power of the heat exchanger; q b The thermal power of the boiler is adopted; q ashp Is the heat power of an air source heat pump; q gshp The heat power of the ground source heat pump; q s For input/output power of heat storage water tank, Q in output s >0, Q at input s <0。
Wherein the gas consumption F required at time t of the gas boiler b Comprises the following steps:
wherein eta is b Is the thermal efficiency of the gas boiler.
The cold balance relationship of the system is as follows:
C load (t)＝α ab Q ab (t)+α ashp Q ashp (t)+α gshp Q gshp (t)+α cs Q cs (t) (22)
wherein, C load Is a cold load; q ab Is the output power of the absorption chiller; q ashp Is the cold power of the air source heat pump; q gshp Is the cold power of the ground source heat pump; q s For input/output power, output time (Q) of the cold storage device s >0) At input (Q) s <0)。
Output power Q of absorption refrigerator ab Comprises the following steps:
Q ab (t)＝Q rh (t)COP ab (23)
wherein Q is rh For recovery of power from waste heat of generator set, COP ab Is the energy efficiency ratio of the absorption chiller.
Electric power consumption E of heat pump at time t p Comprises the following steps:
the energy storage equipment comprises:
Q sta (t+1)＝η s Q sta (t)-Q s (t) (25)
wherein Q sta (t + 1) and Q sta (t) the energy storage states at time t +1 and t of the energy storage device, eta, respectively s Is the efficiency of the energy storage device.
Further, the three-layer nested optimal design model sequentially comprises from top to bottom: a structural design model, a capacity configuration model and an operation optimization model; wherein the structural design model, the formula is expressed as:
the structural design model takes three indexes of energy, environment and economy as optimization targets:
maxV＝ω 1 PESR+ω 2 ACR+ω 3 CERR (26)
and whether the equipment is purchased or not is taken as an optimization variable.
Further, the three-layer nested optimal design model sequentially comprises from top to bottom: a structural design model, a capacity configuration model and an operation optimization model; wherein, the capacity configuration model is expressed by the formula:
the capacity allocation model takes three indexes of energy, environment and economy as optimization targets:
maxV＝ω 1 PESR+ω 2 ACR+ω 3 CERR (27)
taking the equipment capacity as an optimization variable: n is a radical of i 。
Further, the three-layer nested optimal design model sequentially comprises from top to bottom: a structural design model, a capacity configuration model and an operation optimization model; wherein the optimization model is run, the formula is expressed as:
the operation optimization model takes three indexes of energy, environment and economy as optimization targets:
maxV＝ω 1 PESR+ω 2 AOPR+ω 3 CERR (28)
wherein AOPR is the annual operating cost saving rate.
And operating the optimization model by taking the output plan of each device as an optimization variable.
Furthermore, the optimization targets of the three-layer nested optimization design model are consistent, and different optimization algorithms are respectively used for solving each layer of nested optimization design model; specifically, solving each layer of nested optimization design model by using different optimization algorithms means that:
solving the first layer of structural design model by using a particle swarm algorithm, and outputting a system structure to the second layer of model;
the capacity allocation of the second layer is solved by using a genetic algorithm, the capacity of the equipment is output to the third layer, and the optimized target value is returned to the first layer;
and solving the third-layer operation optimization model by using a nonlinear programming algorithm, outputting an equipment operation scheme, and returning an optimization target value to the upper layer.
The park comprehensive energy system takes renewable energy sources such as wind, light and the like and natural gas as primary energy sources, consists of energy production equipment, energy conversion equipment and energy storage equipment, and can meet various load requirements of electricity, cold and heat of buildings such as office buildings, residential buildings, schools, hospitals and the like in a park, as shown in fig. 2.
On the user side, the building types are various, the cold, heat and electric loads are different, and the structure and the capacity of the comprehensive energy system need to be planned and designed according to the load condition of the building.
Therefore, a planning and designing method integrating building load, system structure, equipment capacity and operation mode is provided,
as shown in fig. 3. The method comprises the steps of firstly, collecting basic information of a building, including the direction, the floor height, the area, indoor set temperature and the like of the building, and obtaining annual load data of the building by utilizing building energy simulation software such as Trnsys and the like; and secondly, inputting the obtained load data into an optimization design model, wherein the model takes indexes of energy, environment and economy as optimization targets, takes the equipment type, the equipment capacity and the equipment output plan as optimization variables, takes the balance of cold, heat and electric energy and the equipment model as constraints, establishes a three-layer nested optimization design model, the optimization targets of the three-layer model are consistent, the three-layer nested optimization design model is solved by different optimization algorithms respectively, the solved result is returned to the previous layer, and the iteration is performed in a circulating way until the optimal system design scheme is solved.
Based on the design method, a comprehensive energy system planning and designing platform is constructed, and the platform integrates five functions of load simulation, structural design, capacity allocation, operation optimization and scheme analysis, and comprises an information management module, a load simulation module, an optimization calculation module and a result analysis module.
The information management module is used for managing project information of the comprehensive energy system established by the user;
the load simulation module is used for carrying out annual load simulation on buildings in a system park built by a user;
the optimization calculation module is used for intelligently calculating a system structure, equipment capacity configuration and an operation strategy based on basic information input by a user;
and the result analysis module is used for carrying out data analysis on the optimized system planning design scheme.
The platform utilizes a mixed software programming technology, develops a platform front-end interface based on a Web page, utilizes the Trnsys simulation load annual data and Matlab calculation optimization model, and utilizes Labview to realize the communication service of the Web front end and a background algorithm, and the data management and storage service, as shown in figure 4.
The developed Web service comprises a computer end and a mobile end, a front-end page comprises six blocks of project information, load simulation, structural design, capacity configuration, operation optimization and result analysis, a user logs in a Web interface, and planning and design of the comprehensive energy system in the park can be realized according to a project flow, as shown in figure 5.
Example two
The embodiment provides a park integrated energy system integrated design scheme generation system;
park integrated energy system integration design scheme generation system includes:
an acquisition module configured to: acquiring basic information of each building in the park; acquiring annual load data of each building in the park according to the basic information of each building in the park;
a model building module configured to: inputting annual load data of all buildings in the park into an optimal design model, and establishing a three-layer nested optimal design model;
a scenario generation module configured to: and (4) the optimization targets of the three layers of nested optimization design models are consistent, different optimization algorithms are respectively used for solving each layer of nested optimization design model, and iteration is carried out in a circulating mode until the optimal planning design scheme of the park comprehensive energy system is obtained.
It should be noted here that the acquiring module, the model building module and the scheme generating module correspond to steps S101 to S103 in the first embodiment, and the modules are the same as the examples and application scenarios realized by the corresponding steps, but are not limited to the disclosure of the first embodiment. It should be noted that the modules described above as part of a system may be implemented in a computer system such as a set of computer-executable instructions.
In the foregoing embodiments, the description of each embodiment has an emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions in other embodiments.
The proposed system can be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the above-described modules is merely a logical division, and in actual implementation, there may be other divisions, for example, multiple modules may be combined or integrated into another system, or some features may be omitted, or not executed.
EXAMPLE III
The present embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, a processor is connected with the memory, the one or more computer programs are stored in the memory, and when the electronic device runs, the processor executes the one or more computer programs stored in the memory, so as to make the electronic device execute the method according to the first embodiment.
It should be understood that in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate arrays FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and so on. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include both read-only memory and random access memory and may provide instructions and data to the processor, and a portion of the memory may also include non-volatile random access memory. For example, the memory may also store device type information.
In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software.
The method in the first embodiment may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, among other storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and combines hardware thereof to complete the steps of the method. To avoid repetition, it is not described in detail here.
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 application.
Example four
The present embodiments also provide a computer-readable storage medium for storing computer instructions, which when executed by a processor, perform the method of the first embodiment.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made to the present application by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (7)
1. The method for generating the integrated design scheme of the park comprehensive energy system is characterized by comprising the following steps of:
acquiring basic information of each building in the park; acquiring annual load data of each building in the park according to the basic information of each building in the park;
inputting annual load data of all buildings in the park into an optimal design model, and establishing a three-layer nested optimal design model; the method comprises the following specific steps: inputting annual load data of all buildings in the park into an optimization design model, wherein the optimization design model takes three indexes of energy, environment and economy as optimization targets, takes equipment types, equipment capacity and equipment output plans as optimization variables, and takes cold, heat and electric energy balance and the equipment model as constraints to establish a three-layer nested optimization design model;
the three-layer nested optimal design model sequentially comprises the following components from top to bottom: a structural design model, a capacity configuration model and an operation optimization model;
the optimization targets of the three layers of nested optimization design models are consistent, different optimization algorithms are used for solving each layer of nested optimization design model respectively, and iteration is carried out in a circulating mode until the optimal planning design scheme of the park comprehensive energy system is obtained;
wherein, solving each layer of nested optimization design model by using different optimization algorithms specifically means: solving the first layer of structural design model by using a particle swarm algorithm, and outputting a system structure to the second layer of model; the capacity allocation of the second layer is solved by using a genetic algorithm, the capacity of the equipment is output to the third layer, and the optimized target value is returned to the first layer; and solving the third-layer operation optimization model by using a nonlinear programming algorithm, outputting an equipment operation scheme, and returning an optimization target value to the upper layer.
2. The method as claimed in claim 1, wherein the basic information of each building on the campus comprises: orientation of each building, story height of each building, floor space of each building, and roof temperature setting of each building.
3. The method of claim 1, wherein year-round load data of each building in the campus is obtained based on basic information of each building in the campus; the annual load data of each building in the park is obtained by utilizing Trnsys building energy simulation software according to the basic information of each building in the park.
4. The method as claimed in claim 1, wherein the optimization design model takes the three indexes of energy, environment and economy as optimization targets, and the optimization targets are specifically weighted summation of annual energy saving rate, annual cost saving rate and annual carbon dioxide emission reduction rate.
5. Park integrated energy system integration design scheme generation system, characterized by includes:
an acquisition module configured to: acquiring basic information of each building in a park; acquiring annual load data of each building in the park according to the basic information of each building in the park;
a model building module configured to: inputting annual load data of all buildings in the park into an optimal design model, and establishing a three-layer nested optimal design model; the method comprises the following specific steps: inputting annual load data of all buildings in the park into an optimization design model, wherein the optimization design model takes three indexes of energy, environment and economy as optimization targets, takes equipment types, equipment capacity and equipment output plans as optimization variables, and takes cold, heat and electric energy balance and the equipment model as constraints to establish a three-layer nested optimization design model;
a scenario generation module configured to: the three-layer nested optimal design model sequentially comprises the following steps from top to bottom: a structural design model, a capacity configuration model and an operation optimization model; the optimization targets of the three layers of nested optimization design models are consistent, different optimization algorithms are used for solving each layer of nested optimization design model respectively, and iteration is carried out in a circulating mode until the optimal planning design scheme of the park comprehensive energy system is obtained; wherein, different optimization algorithms are used for solving each layer of nested optimization design model, which specifically means that: solving the first layer of structural design model by using a particle swarm algorithm, and outputting a system structure to the second layer of model; the capacity allocation of the second layer is solved by using a genetic algorithm, the equipment capacity is output to the third layer, and an optimized target value is returned to the first layer; and solving the third-layer operation optimization model by using a nonlinear programming algorithm, outputting an equipment operation scheme, and returning an optimization target value to the upper layer.
6. An electronic device, comprising: one or more processors, one or more memories, and one or more computer programs; wherein a processor is connected to the memory, the one or more computer programs being stored in the memory, the processor executing the one or more computer programs stored in the memory when the electronic device is running, to cause the electronic device to perform the method of any of the preceding claims 1-4.
7. A computer-readable storage medium storing computer instructions which, when executed by a processor, perform the method of any one of claims 1 to 4.
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