CN117495123A

CN117495123A - Operation method, operation device, storage medium and processor of integrated energy system

Info

Publication number: CN117495123A
Application number: CN202311432274.3A
Authority: CN
Inventors: 徐玉韬; 肖勇; 刘正; 蔡梓文; 陈敦辉; 赵云; 谈竹奎; 陆煜锌; 冯起辉; 顾莲墙
Original assignee: China South Power Grid International Co ltd; Guizhou Power Grid Co Ltd
Current assignee: China South Power Grid International Co ltd; Guizhou Power Grid Co Ltd
Priority date: 2023-10-31
Filing date: 2023-10-31
Publication date: 2024-02-02

Abstract

The application provides an operation method, an operation device, a storage medium and a processor of an integrated energy system, wherein the method comprises the following steps: acquiring at least the maximum output power of the energy device and the minimum output power of the energy device; establishing a constraint model at least according to the maximum output power of the energy equipment and the minimum output power of the energy equipment; optimizing the constraint model to obtain an optimal operation strategy; and controlling the comprehensive energy system to operate according to the optimal operation strategy. The method solves the problem that the cooperative operation of the comprehensive energy system and the agricultural greenhouse with high carbon reduction capability is not considered in the prior art.

Description

Operation method, operation device, storage medium and processor of integrated energy system

Technical Field

The present application relates to the technical field of electric power systems, and in particular, to an operation method of an integrated energy system, an operation device of an integrated energy system, a storage medium, a processor, and an electronic device.

Background

The comprehensive energy system is an important component unit of energy internet service, is an important force for the consumption of renewable energy, and is an important carrier for constructing an important component part of a clean, low-carbon, safe and efficient modern energy system and optimizing an energy utilization structure of a user.

In the existing research, the cooperative operation of the comprehensive energy system and other main bodies is mostly the cooperative operation of other power utilization main bodies, but the cooperative operation of the comprehensive energy system and the agricultural greenhouse with high carbon reduction capability is not considered.

Disclosure of Invention

The main object of the present application is to provide an operation method of an integrated energy system, an operation device of an integrated energy system, a storage medium, a processor and an electronic device, so as to at least solve the problem that the prior art lacks consideration of the cooperative operation of an integrated energy system and an agricultural greenhouse with high carbon reduction capability.

In order to achieve the above object, according to one aspect of the present application, there is provided an operation method of an integrated energy system connected to an agricultural greenhouse, the integrated energy system including at least a plurality of energy devices for producing a first object and/or a second object or for storing the first object, wherein the first object includes: electric power, thermal power, cold power, the second object comprising: carbon dioxide, the agricultural greenhouse being for consuming the first object and the second object, the method comprising: acquiring at least the maximum output power of the energy device and the minimum output power of the energy device; establishing a constraint model at least according to the maximum output power of the energy equipment and the minimum output power of the energy equipment, wherein the constraint model is at least used for constraining the output power of the energy equipment; optimizing the constraint model to obtain an optimal operation strategy, wherein the optimal operation strategy comprises a plurality of first power curves, one first power curve corresponds to one energy device, the first power curve is a curve of the change of the output power of the corresponding energy device along with time, when the comprehensive energy system operates according to the optimal operation strategy, the carbon punishment ratio of the comprehensive energy system at all moments is smaller than a first preset carbon punishment ratio, and the total cost of the comprehensive energy system is the lowest, the carbon punishment ratio of the comprehensive energy system at one moment is the ratio of the carbon emission punishment cost of the comprehensive energy system at the moment to the operation cost of the comprehensive energy system at the moment, and the total cost of the comprehensive energy system is the sum of the operation cost of the comprehensive energy system at all moments and the carbon emission punishment cost of the comprehensive energy system at all moments; and controlling the comprehensive energy system to operate according to the optimal operation strategy.

Optionally, optimizing the constraint model to obtain an optimal operation strategy includes: optimizing the constraint model by adopting an NSGA-II algorithm based on a first function and a second function to obtain a plurality of first operation strategies, wherein one first operation strategy comprises a plurality of second power curves, and one second operation strategy in one first operation strategyThe power curve corresponds to one of the energy devices, the second power curve is a curve of the corresponding output power of the energy device changing with time, and the first function is thatThe second function is +.>Wherein,C(x _t ) For the operating costs of the integrated energy system at time t, D (x _t ) C, punishing cost for the carbon emission of the integrated energy system at the time t _i Cost x of the energy source equipment for emitting unit energy _i，t For the output power of the ith energy equipment at the time t, S _sale，t For the energy selling benefit at the time t, R is punishment cost of carbon emission unit, o _i Carbon emission amount when unit energy is sent out for the ith energy equipment, wherein the energy selling benefit is obtained by selling the first object to the agricultural greenhouse by the comprehensive energy system; obtaining output power of each energy device of a plurality of first operation strategies at the same time to obtain output power of a plurality of groups of energy devices, wherein the output power of one group of energy devices corresponds to one time, and the output power of one group of energy devices corresponds to one first operation strategy; setting a plurality of second preset carbon punishment ratios, wherein the second preset carbon punishment ratios are located in a preset carbon punishment ratio range, and the upper limit value of the preset carbon punishment ratio range is smaller than the first preset carbon punishment ratio; a processing step of selecting a target preset carbon punishment ratio, determining at different moments in time that the carbon punishment ratio with the smallest difference from the target preset carbon punishment ratio is the target carbon punishment ratio so as to obtain a group of target carbon punishment ratios, wherein the target preset carbon punishment ratio is one of all the second preset carbon punishment ratios, and the first operation strategies are performed at one moment for a plurality of first operation strategies Obtaining a target carbon punishment ratio, wherein the target carbon punishment ratio in a group of target carbon punishment ratios corresponds to the moment one by one; repeating the processing steps for a plurality of times to obtain a plurality of groups of target carbon punishment ratios, wherein one preset carbon punishment ratio corresponds to one group of target carbon punishment ratios; obtaining output power of each energy device corresponding to the moment in the first operation strategy corresponding to each target carbon punishment ratio to construct a plurality of second operation strategies, wherein one second operation strategy corresponds to one group of target carbon punishment ratio, and one second operation strategy comprises a plurality of first power curves; obtaining output power of each energy device of a plurality of second operation strategies at the same time to obtain output power of a plurality of groups of energy devices, wherein the output power of one group of energy devices corresponds to one time, and the output power of one group of energy devices corresponds to one second operation strategy; at the position ofIn the case of (2), determining the j-th said second operation strategy as said optimal operation strategy, wherein ∈> C(x _i，t ) _j C (x) at the time t when the integrated energy system is operated according to the j-th second operation strategy _i，t )，D(x _i，t ) _j D (x) at said time t when operating according to the j-th second operating strategy for said integrated energy system _i，t )，C(x _i，t ) _j+1 C (x) at the time t when the integrated energy system is operated according to the j+1th second operation strategy _i，t )，D(x _i，t ) _j+1 D (x) at the time t when the integrated energy system is operated according to the j+1th second operation strategy _i，t )。

Optionally based on the first function and the second functionAnd optimizing the constraint model by adopting an NSGA-II algorithm to obtain a plurality of first operation strategies, wherein the method further comprises: according toDetermining the sales energy gain at the time t, wherein S _sale，t For the sales energy benefit at the time t, g _e For the unit price of the electric power, M _e，t Providing said electric power to said agricultural greenhouse for said integrated energy system at said time t, and (2)>For the unit price of the carbon dioxide, V _t For the net photosynthesis rate of the green house at the time t,/for the green house>g _c G is the unit price of the cold power _h For the unit price of the thermal power, Δq _gh，t And (5) changing the heat quantity of the agricultural greenhouse at the time t.

Optionally, the integrated energy system further includes a plurality of energy consuming devices, the energy consuming devices being configured to consume the first object, the constraint model includes a first constraint sub-model, and building the constraint model includes: establishing a first constraint sub-model, wherein the first constraint sub-model is as follows Wherein (1)>For the input power of the ith energy device at time t,/for the energy device>For the output power of the ith energy device at time t, +.>Is the firstAnd the sum of the required power and the second required power, wherein the first required power is the sum of the required power of the agricultural greenhouse at the time t, and the second required power is the sum of the required power of all the energy utilization devices at the time t.

Optionally, the energy source device includes an energy storage device, the energy storage device is configured to store the first object, the constraint model includes a second constraint sub-model, and building the constraint model includes: establishing a second constraint sub-model, wherein the second constraint sub-model is thatWherein (1)>For the input power of the energy storage device at time t,for the output power of the energy storage device at the time t +.>And (3) the power lost by the energy storage equipment at the moment T is the energy storage period.

Optionally, the energy storage device includes an electrical energy storage device, the electrical energy storage device is configured to store the electrical power, the constraint model includes a third constraint sub-model, and building the constraint model includes: establishing a third constraint sub-model, wherein the third constraint sub-model is that Wherein (1)>For the input power of the electrical energy storage device at the time t,/and>for maximum input power of the electrical energy storage device, < > for>For the output power of the electrical energy storage device at the time t,/and>x is the maximum output power of the electric energy storage device _ES When the first preset value is, the electric energy storage equipment is in a charging state, Y _ES When the first preset value is, the electric energy storage device is in a discharge state, S _ES (t) is the remaining power of the electrical energy storage device at the time t,/and>is the rated capacity of the electrical energy storage device.

According to another aspect of the present application, there is also provided an operating device of an integrated energy system, the integrated energy system being connected to an agricultural greenhouse, the integrated energy system comprising at least a plurality of energy devices for producing a first object and/or a second object, or for storing the first object, wherein the first object comprises: electric power, thermal power, cold power, the second object comprising: carbon dioxide, the agricultural greenhouse being for consuming the first object and the second object, the apparatus comprising: an acquisition unit configured to acquire at least a maximum output power of the energy device and a minimum output power of the energy device; the modeling unit is used for building a constraint model at least according to the maximum output power of the energy equipment and the minimum output power of the energy equipment, and the constraint model is at least used for constraining the output power of the energy equipment; the optimizing unit is used for optimizing the constraint model to obtain an optimal operation strategy, the optimal operation strategy comprises a plurality of first power curves, one first power curve corresponds to one energy device, the first power curve is a curve of the corresponding output power of the energy device, which changes along with time, when the comprehensive energy system operates according to the optimal operation strategy, the carbon punishment ratio of the comprehensive energy system at all moments is smaller than a first preset carbon punishment ratio, and the total cost of the comprehensive energy system is the lowest, the carbon punishment ratio of the comprehensive energy system at one moment is the ratio of the carbon emission punishment cost of the comprehensive energy system at the moment to the operation cost of the comprehensive energy system at the moment, and the total cost of the comprehensive energy system is the sum of the operation cost of the comprehensive energy system at all moments and the carbon emission punishment of the comprehensive energy system at all moments; and the control unit is used for controlling the comprehensive energy system to operate according to the optimal operation strategy.

According to still another aspect of the present application, there is further provided a computer readable storage medium, where the computer readable storage medium includes a stored program, and when the program runs, the device in which the computer readable storage medium is controlled to execute any one of the operation methods of the integrated energy system.

According to yet another aspect of the present application, there is also provided a processor for running a program, wherein the program runs to execute any one of the running methods of the integrated energy system.

According to an aspect of the present application, there is also provided an electronic device including: one or more processors, memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising an operating method for performing any of the comprehensive energy systems.

By means of the technical scheme, the comprehensive energy system is connected with the agricultural greenhouse, carbon dioxide from the comprehensive energy system is consumed when crops in the agricultural greenhouse are subjected to photosynthesis, carbon emission of the comprehensive energy system is reduced, carbon emission punishment cost of the comprehensive energy system is further reduced, operation cost of the comprehensive energy system is considered when an optimal operation strategy is solved, carbon emission punishment cost of the comprehensive energy system is considered on the one hand, carbon punishment rate of the comprehensive energy system at all moments is guaranteed to be smaller than a first preset carbon punishment rate, carbon emission punishment cost of the comprehensive energy system is controlled to be not too high, and on the premise that the carbon punishment rate at all moments is guaranteed to be smaller than the first preset carbon punishment rate, an optimal operation strategy meeting the minimum total cost objective of the comprehensive energy system is obtained, and accordingly the problem that in the prior art, the cooperative operation of the comprehensive energy system and the agricultural greenhouse with high carbon reduction capability is lacked is solved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:

fig. 1 is a block diagram showing a hardware configuration of a mobile terminal for performing an operation method of an integrated energy system according to an embodiment of the present application;

FIG. 2 illustrates a schematic diagram of an integrated energy system provided in accordance with an embodiment of the present application;

FIG. 3 illustrates a flow diagram of a method of operation of an integrated energy system provided in accordance with an embodiment of the present application;

FIG. 4 shows a schematic diagram of the relationship between net photosynthesis rate and temperature, carbon dioxide concentration, and light intensity, provided in accordance with an embodiment of the present application;

fig. 5 shows a block diagram of an operating device of an integrated energy system according to an embodiment of the present application.

Detailed Description

It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

In order to make the present application solution better understood by those skilled in the art, the following description will be made in detail and with reference to the accompanying drawings in the embodiments of the present application, it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe the embodiments of the present application described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations 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.

As described in the background art, in order to solve the problem that the cooperative operation of the comprehensive energy system and the agricultural greenhouse with high carbon reduction capability is not considered in the prior art, the embodiment of the application provides an operation method of the comprehensive energy system, an operation device of the comprehensive energy system, a storage medium, a processor and electronic equipment.

The technical solutions 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.

The method embodiments provided in the embodiments of the present application may be performed in a mobile terminal, a computer terminal or similar computing device. Taking the operation on a mobile terminal as an example, fig. 1 is a block diagram of a hardware structure of a mobile terminal of an operation method of an integrated energy system according to an embodiment of the present invention. As shown in fig. 1, a mobile terminal may include one or more (only one is shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 for communication functions and an input-output device 108. It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely illustrative and not limiting of the structure of the mobile terminal described above. For example, the mobile terminal may also include more or fewer components than shown in fig. 1, or have a different configuration than shown in fig. 1.

The memory 104 may be used to store a computer program, for example, a software program of application software and a module, such as a computer program corresponding to a display method of device information in an embodiment of the present invention, and the processor 102 executes the computer program stored in the memory 104 to perform various functional applications and data processing, that is, to implement the above-described method. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely located relative to the processor 102, which may be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The transmission means 106 is arranged to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, simply referred to as NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used to communicate with the internet wirelessly.

In this embodiment, a method of operating an integrated energy system operating on a mobile terminal, a computer terminal, or a similar computing device is provided, it being noted that the steps illustrated in the flowchart of the figures may be performed in a computer system, such as a set of computer executable instructions, and that although a logical sequence is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in a different order than that illustrated herein.

The integrated energy system is connected with the agricultural greenhouse, and at least comprises a plurality of energy devices, wherein the energy devices are used for producing a first object and/or a second object or storing the first object, and the first object comprises: electric power, thermal power, cold power, said second object comprising: and the agricultural greenhouse is used for consuming the first object and the second object.

Specifically, as shown in fig. 2, the power grid delivers electric power to the integrated energy system, the photovoltaic grid delivers electric power to the integrated energy system, and the gas grid delivers natural gas to the integrated energy system, and the energy devices in the integrated energy system include: GT (Gas Turbine), CHP (Cogeneration ombined Heat and Power, cogeneration machine), EB (Electric Boiler), GB (Gas Boiler), AC (Absorption Chilller, absorption chiller), EC (Electric Chilller, electric chiller), electric energy storage device (for storing Electric power), thermal energy storage device (for storing thermal power and cold power), integrated energy system energy provides Electric power, thermal power, cold power to the green house, integrated energy system charges Electric power supply cost, thermal power supply cost, cold power supply cost to the green house, and integrated energy system further comprises a C02 distribution supply system, the C02 distribution supply system supplies part of carbon dioxide in the integrated energy system to the green house, carbon dioxide is consumed when crops in the green house perform photosynthesis, thereby reducing carbon dioxide emission of the integrated energy system, the integrated energy system further comprises: the carbon dioxide storage device (used for storing carbon dioxide) and the gas energy storage device (used for storing natural gas) are arranged, the natural gas is provided for GT, CHP, GB by the gas network, and the gas load is the device for requiring the natural gas.

FIG. 3 is a flow chart of a method of operation of the integrated energy system according to an embodiment of the present application. As shown in fig. 3, the method comprises the steps of:

step S201, at least obtaining the maximum output power of the energy equipment and the minimum output power of the energy equipment;

step S202, a constraint model is established at least according to the maximum output power of the energy equipment and the minimum output power of the energy equipment;

the constraint model is at least used for constraining the output power of the energy equipment;

specifically, as shown in fig. 2, GT is used to produce electric power and carbon dioxide during the production of electric power, CHP is used to produce electric power and thermal power and carbon dioxide during the production of electric power and thermal power, EB is used to produce thermal power, GB is used to produce thermal power and carbon dioxide during the production of thermal power, AC is used to produce cold power, EC is used to produce cold power, GT output power includes GT output electric power, CHP output power includes CHP output electric power and CHP output thermal power, EB output power includes EB output thermal power, GB output power is GB output thermal power, AC output power is AC output cold power, EC output power is EC output cold power, and there are upper and lower limits on electric power, CHP output thermal power, EB output thermal power, GB output thermal power, AC output cold power, and EC output cold power.

Step S203, optimizing the constraint model to obtain an optimal operation strategy;

wherein the optimal operation strategy includes a plurality of first power curves, one of the first power curves corresponds to one of the energy devices, the first power curve is a curve of an output power of the corresponding energy device that varies with time, carbon punishment ratio of the integrated energy system at all times is smaller than a first preset carbon punishment ratio and total cost of the integrated energy system is lowest when the integrated energy system operates according to the optimal operation strategy, the carbon punishment ratio of the integrated energy system at one time is a ratio of a carbon emission punishment cost of the integrated energy system at the one time to an operation cost of the integrated energy system at the one time, and the total cost of the integrated energy system is a sum of the operation cost of the integrated energy system at all times and the carbon emission cost of the integrated energy system at all times;

specifically, the first power curves are respectively: a plot of GT output electrical power versus time, a plot of CHP output thermal power versus time, a plot of EB output thermal power versus time, a plot of GB output thermal power versus time, a plot of AC output cold power versus time, and a plot of EC output cold power versus time.

Step S204, controlling the comprehensive energy system to operate according to the optimal operation strategy.

Through the embodiment, the integrated energy system is connected with the agricultural greenhouse, carbon dioxide from the integrated energy system is consumed when crops in the agricultural greenhouse perform photosynthesis, carbon emission of the integrated energy system is reduced by the agricultural greenhouse, carbon emission punishment cost of the integrated energy system is further reduced, and when an optimal operation strategy is solved, on one hand, operation cost of the integrated energy system is considered, on the other hand, carbon emission punishment cost of the integrated energy system is considered, carbon punishment rate of the integrated energy system at all moments is guaranteed to be smaller than a first preset carbon punishment rate, so that the carbon emission punishment cost of the integrated energy system is controlled to be not too high, and on the premise that the carbon punishment rate at all moments is guaranteed to be smaller than the first preset carbon punishment rate, the optimal operation strategy meeting the minimum target of total cost of the integrated energy system is obtained, and therefore the problem that collaborative operation of the agricultural greenhouse with high carbon reduction capability is not considered in the prior art is solved.

The integrated energy system further includes a plurality of energy consuming devices, where the energy consuming devices are configured to consume the first object, as shown in fig. 2, the electric load is an energy consuming device that requires electric power, the thermal load is an energy consuming device that requires thermal power, and the cooling load that requires cooling power, and the constraint model includes a first constraint sub-model, and the step S202 may be implemented as follows:

Establishing a first constraint sub-model, wherein the first constraint sub-model is as followsWherein (1)>For the input power of the ith energy device at time t,/for the energy device>For the output power of the ith energy device at time t, +.>The first demand power is the sum of the demand power of the agricultural greenhouse at the time t, and the second demand power is the sum of the demand power of all the energy-consuming devices at the time t.

Specifically, as shown in FIG. 2, for electric power balance, (electric power output at time t by GT) + (electric power input at time t by CHP) -electric power input at time t by CHP) + (electric power input at time t by EB) + (electric power input at time t by GB electric power input at time t) + (electric power input at time t by AC electric power input at time t) + (electric power input at time t by EC electric power input at time t) + (electric power input at time t by electric energy storage device at time t) =electric power demand at time t by agricultural greenhouse, wherein the electric power input by GT, the electric power input by CHP, the electric power output by EB, the electric power input by GB, the electric power output by GB, the electric power input by AC, the electric power output by EC, the cold power input by the heat energy storage device and the cold power output by the heat energy storage device are all 0, the electric power input by the energy device, the electric power output by the energy device, the electric power required by the heat load and the electric power required by the agricultural greenhouse are all ensured to meet the law of energy balance at each moment, and the electric power is balanced, thermal power output by (GT) at time t-thermal power input by GT at time t) + (thermal power output by CHP at time t-thermal power input by CHP at time t) + (thermal power output by EB at time t-thermal power input by EB at time t) + (thermal power output by GB at time t) + (thermal power input by GB at time t) +thermal power input by AC at time t) + (thermal power input by EC at time t) + (thermal power input by electric energy storage device at time t) + (thermal power input by thermal energy storage device at time t) =thermal power required by thermal load at time t+thermal power required by agricultural greenhouse at time t, wherein the thermal power input by GT, the thermal power output by GT, the thermal power input by CHP, the thermal power input by EB, the thermal power input by GB, the thermal power output by AC, the thermal power output by EC, the thermal power input by electric energy storage equipment and the thermal power output by electric energy storage equipment are all 0, so that the input thermal power of the energy equipment, the output thermal power of the energy equipment, the thermal power required by thermal load and the thermal power required by agricultural greenhouse all meet the energy balance law at each moment, and the cold power is balanced, cold power of GT output at time t) + (cold power of CHP output at time t-cold power of CHP input at time t) + (cold power of EB output at time t-cold power of EB input at time t) + (cold power of GB output at time t-cold power of GB input at time t) +cold power of AC output at time t-cold power of AC input at time t) + (cold power of EC output at time t-cold power of EC input at time t) + (cold power of electric energy storage device input at time t) + (cold power of hot energy storage device input at time t) =cold power of cold load demand at time t of agricultural greenhouse, the cold power input by the GT, the cold power output by the GT, the cold power input by the CHP, the cold power output by the CHP, the cold power input by the EB, the cold power output by the EB, the cold power input by the GB, the cold power output by the GB, the cold power input by the AC, the hot power input by the EC, the cold power input by the electric energy storage device and the cold power output by the electric energy storage device are all 0, so that the input cold power of the energy device, the output cold power of the energy device, the cold power required by the thermal load and the cold power required by the agricultural greenhouse all meet the energy balance law at all moments.

The energy source device includes an energy storage device, the energy storage device is configured to store the first object, the constraint model includes a second constraint sub-model, and the step S202 may be implemented as:

establishing a second constraint sub-model, wherein the second constraint sub-model is as followsWherein,input power for the energy storage device at time t, < >>For the output power of the energy storage device at the time t,and (3) the power lost by the energy storage device at the time T is the energy storage period.

Specifically, as shown in fig. 2, for the electric energy storage device, the electric power input by the electric energy storage device, the electric power output by the electric energy storage device, the electric power lost by the electric energy storage device, and the electric power output by the electric energy storage device are guaranteed to satisfy the energy balance law, for the thermal energy storage device, the thermal power input by the thermal energy storage device, the thermal power output by the thermal energy storage device, and the thermal power lost by the electric energy storage device are guaranteed to satisfy the energy balance law, and for the thermal energy storage device, the thermal power input by the thermal energy storage device, the thermal power output by the thermal energy storage device, and the thermal power lost by the thermal energy storage device are guaranteed to satisfy the energy balance law, and the cold power input by the thermal energy storage device, the cold power output by the thermal energy storage device, and the cold power lost by the thermal energy storage device are guaranteed to satisfy the energy balance law.

The energy storage device includes an electrical energy storage device, the electrical energy storage device is configured to store the electrical power, the constraint model includes a third constraint sub-model, and the step S202 may be implemented as:

establishing a third constraint sub-model, wherein the third constraint sub-model is as followsWherein,input power for the above-mentioned electrical energy storage device at the above-mentioned time t, < >>For the maximum input power of the above-mentioned electrical energy storage device, < > for>For the output power of the above-mentioned electrical energy storage device at the above-mentioned time t,/or->For the maximum output power of the electric energy storage device, x _ES When the first preset value is set, the electric energy storage equipment is in a charging state, Y _ES When the first preset value is the first preset value, the electric energy storage device is in a discharge state, S _ES (t) is the remaining power of the electric energy storage device at the time t, < >>Is the rated capacity of the above-mentioned electric energy storage device.

Specifically, the electric energy storage device has three working states, namely stopping operation, charging and discharging, only one working state is adopted at the same time, the input power of the electric energy storage device is the electric power input by the electric energy storage device, the output power of the electric energy storage device is the electric power output by the electric energy storage device, the maximum input power of the electric energy storage device is the maximum value of the electric power input by the electric energy storage device, the maximum output power of the electric energy storage device is the maximum value of the electric power output by the electric energy storage device, and a third constraint model is established, so that the input electric power and the output electric power of the electric energy storage device can be adjusted within a certain range.

The step S203 may be implemented as:

step S2031, optimizing the constraint model by using NSGA-II algorithm based on a first function and a second function to obtain a plurality of first operation strategies, where one of the first operation strategies includes a plurality of second power curves, one of the second power curves in the first operation strategy corresponds to one of the energy devices, the second power curve is a curve of output power of the corresponding energy device changing with time, and the first function is that ofThe second function is->Wherein (1)> C(x _t ) For the operating costs of the integrated energy system at time t, D (x _t ) C, punishing cost of the carbon emission of the integrated energy system at the time t _i Cost x for the ith energy device to emit unit energy _i，t For the output power of the ith energy device at the time t, S _sale，t For the energy selling benefit at time t, R is punishment cost of carbon emission unit, o _i Carbon emission when the ith energy equipment emits unit energy, wherein the sales energy benefit is obtained by selling the first object to the agricultural greenhouse by the comprehensive energy system;

in particular, the method comprises the steps of,to minimize the operating costs of the integrated energy system And minimizing the carbon emission penalty cost of integrated energy systems +.>For the purpose, solving a constraint model by adopting an NSGA-II algorithm to obtain a series of pareto solutions, and obtaining a plurality of first operation strategies of the comprehensive energy system.

Step S2032, obtaining output powers of the energy devices of the plurality of first operation strategies at the same time, to obtain a plurality of sets of output powers of the energy devices, where the output powers of one set of the energy devices correspond to one time and the output powers of one set of the energy devices correspond to one first operation strategy;

step S2033, setting a plurality of second preset carbon punishment ratios, where the second preset carbon punishment ratios are in a preset carbon punishment ratio range, and an upper limit value of the preset carbon punishment ratio range is smaller than the first preset carbon punishment ratio;

step S2034, a processing step, selecting a target preset carbon punishment ratio, determining, at different times, the carbon punishment ratio with the smallest difference from the target preset carbon punishment ratio as a target carbon punishment ratio to obtain a set of target carbon punishment ratios, wherein the target preset carbon punishment ratio is one of all the second preset carbon punishment ratios, and obtaining one target carbon punishment ratio at one time for a plurality of first operation strategies, and the target carbon punishment ratio in the set of target carbon punishment ratios corresponds to the time one by one;

Step S2035, repeating the processing steps for a plurality of times to obtain a plurality of groups of target carbon punishment ratios, wherein one preset carbon punishment ratio corresponds to one group of target carbon punishment ratios;

step S2036, obtaining output power of each energy device corresponding to the moment in the first operation policy corresponding to each target carbon punishment ratio, so as to construct a plurality of second operation policies, one of the second operation policies corresponds to a group of target carbon punishment ratios, and the other of the second operation policies includes a plurality of first power curves;

specifically, n second operation strategies s= [ S ] can be obtained by setting n second preset carbon punishment ratios ₁ ，S ₂ ，...，S _n ]In the comprehensive energy system, the ith second operation strategy S _i When the comprehensive energy system operates in each second operation strategy, the carbon punishment ratio of the comprehensive energy system at each moment is smaller than the first preset carbon punishment ratio, so that the carbon punishment ratio at all moments is smaller than the first preset carbon punishment ratio, and the carbon emission punishment cost of the comprehensive energy system is controlled not to be too high.

Step S2037, obtaining output powers of the energy devices of the plurality of second operation strategies at the same time, to obtain a plurality of sets of output powers of the energy devices, where the output powers of one set of the energy devices correspond to one time and the output powers of one set of the energy devices correspond to one second operation strategy;

Step S2038, atIn the case of (2), determining the j-th above-mentioned second operation strategy as the above-mentioned optimum operation strategy, wherein ∈> C(x _i，t ) _j C (x) at time t when the integrated energy system is operated according to the j-th second operation strategy _i，t )，D(x _i，t ) _j D (x) at time t when the integrated energy system is operated according to the j-th second operation strategy _i，t )，C(x _i，t ) _j+1 According to the j+1th second operation strategy for the comprehensive energy systemC (x) at the time t during operation _i，t )，D(x _i，t ) _j+1 D (x) at time t when operating according to the j+1th second operation strategy for the integrated energy system _i，t )。

Specifically, according to the order of the second preset carbon punishment ratio corresponding to the second operation strategy from large to small, the descending speed of the total cost of the integrated energy system and the total carbon punishment ratio of the integrated energy system corresponding to the adjacent second operation strategy isThe optimal operation strategy is selected, so that the optimal operation strategy meeting the minimum total cost target of the comprehensive energy system is obtained on the premise that the carbon punishment rate of the comprehensive energy system at all moments is smaller than the first preset carbon punishment rate, and the total carbon punishment rate of the comprehensive energy system is

In the process of step S2031, the method further includes:

According toDetermining the sales energy benefit at the time t, wherein S _sale，t G, for the sales energy benefit at the time t _e For the unit price of the electric power, M _e，t Providing the electric power of the agricultural greenhouse to the integrated energy system at the time t,/-or%>The unit price of the carbon dioxide is V _t For the net photosynthesis rate of the above agricultural greenhouse at time t,/for the above agricultural greenhouse>g _c G is the unit price of the cold power _h For the unit price of the above thermal power, Δq _gh，t The agricultural greenhouse is the aboveThe heat at time t varies.

Specifically, the integrated energy system supplies electric power, heat power and cold power to the agricultural greenhouse, the integrated energy system charges the agricultural greenhouse for supplying electric power, heat power and cold power, the integrated energy system also comprises a C02 distribution and supply system, the C02 distribution and supply system conveys part of carbon dioxide in the integrated energy system to the agricultural greenhouse, and the carbon dioxide is consumed when crops in the agricultural greenhouse perform light effect, so that the emission of the carbon dioxide of the integrated energy system can be reduced,wherein I is _i The illumination intensity of the agricultural greenhouse at the moment T is T _t The environmental temperature of the agricultural greenhouse at the time t is C, the carbon dioxide concentration of the agricultural greenhouse at the time t is V _t For the net photosynthesis rate of the green house at time t, a, b, c, d, h, k is a preset parameter, in some embodiments, the plants in the green house are cucumbers, as shown in fig. 4, the gray scale of the dots represents the magnitude of the net photosynthesis rate, when the carbon dioxide concentration or the illumination intensity is small (near 0), the net photosynthesis rate is negative, at this time, the plants in the green house only breathe, the carbon dioxide concentration in the green house is increased, when the temperature is 18 ℃, the net photosynthesis rate is at most near 1600 mu mol/L, when the illumination intensity is 1500-1800 mu mol/m2.s, the net photosynthesis rate is 35.15 mu mol/m2.s-40.60 mu mol/m2.s, when the temperature is about 35 ℃, the carbon dioxide concentration is 1500-2000 mu mol/L, when the illumination intensity is 1500-2000 mu mol/m2.s, the net photosynthesis rate exceeds 40.60 mu mol/m2.s, no matter how the temperature and the illumination intensity change, the maximum value of the net photosynthesis rate is 1500-2000 mu mol/L, in the experimental process, the carbon dioxide concentration is fixed at 1600 mu mol/L, the temperature is controlled between 15-28 ℃, the safe growth of cucumbers can be ensured, the day-night temperature difference is more than or equal to 10 ℃, the maximum net photosynthesis rate can be ensured, the growth and development of the cucumbers are fastest, and the dioxygen is ensured The carbon conversion absorption rate is the fastest under the current conditions.

It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.

The embodiment of the application also provides an operation device of the integrated energy system, and it should be noted that the operation device of the integrated energy system of the embodiment of the application can be used for executing the operation method for the integrated energy system provided by the embodiment of the application. The device is used for realizing the above embodiments and preferred embodiments, and is not described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.

The following describes an operation device of the integrated energy system provided in the embodiment of the present application.

Fig. 5 is a schematic diagram of an operating device of the integrated energy system according to an embodiment of the present application. As shown in fig. 5, the apparatus includes:

An acquisition unit 10 configured to acquire at least a maximum output power of the energy device and a minimum output power of the energy device;

a modeling unit 20 for building a constraint model based on at least the maximum output power of the energy device and the minimum output power of the energy device;

An optimizing unit 30, configured to optimize the constraint model to obtain an optimal operation policy;

And a control unit 40 for controlling the integrated energy system to operate according to the optimal operation strategy.

The integrated energy system further includes a plurality of energy consuming devices for consuming the first object, as shown in fig. 2, the electric load is an energy consuming device for requiring electric power, the thermal load is an energy consuming device for requiring thermal power, and the cooling load for requiring cooling power, the constraint model includes a first constraint sub-model, and the modeling unit includes:

A first modeling module for building a first constraint sub-model, the first constraint sub-model beingWherein (1)>For the input power of the ith energy device at time t,/for the energy device>For the output power of the ith energy device at time t, +.>The first demand power is the sum of the demand power of the agricultural greenhouse at the time t, and the second demand power is the sum of the demand power of all the energy-consuming devices at the time t.

The energy device comprises an energy storage device for storing the first object, the constraint model comprises a second constraint sub-model, and the modeling unit comprises:

a second modeling module for building a second constraint sub-model, the second constraint sub-model beingWherein (1)>Input power for the energy storage device at time t, < >>For the output power of the energy storage device at the time t +.>And (3) the power lost by the energy storage device at the time T is the energy storage period.

Specifically, as shown in fig. 2, for the electric energy storage device, the electric power input by the electric energy storage device, the electric power output by the electric energy storage device, the electric power lost by the electric energy storage device=0, the electric power input by the electric energy storage device, the electric power output by the electric energy storage device, and the electric power lost by the electric energy storage device are guaranteed to satisfy the energy balance law, for the thermal energy storage device, the electric power input by the thermal energy storage device, the electric power output by the thermal energy storage device, the electric power lost by the electric energy storage device=0, and for the thermal energy storage device, the electric power input by the thermal energy storage device, the electric power output by the thermal energy storage device, and the electric power lost by the thermal energy storage device are guaranteed to satisfy the energy balance law, and the electric power input by the thermal energy storage device, the electric power output by the thermal energy storage device, and the electric power lost by the thermal energy storage device are guaranteed to satisfy the energy balance law.

The energy storage device comprises an electrical energy storage device for storing the electrical power, the constraint model comprises a third constraint sub-model, and the modeling unit comprises:

a third modeling module for building a third constraint sub-model, the third constraint sub-model beingWherein (1)>Input power for the above-mentioned electrical energy storage device at the above-mentioned time t, < >>For the maximum input power of the above-mentioned electrical energy storage device, < > for>For the output power of the above-mentioned electrical energy storage device at the above-mentioned moment t,for the maximum output power of the electric energy storage device, X _ES When the first preset value is set, the electric energy storage equipment is in a charging state, Y _ES When the first preset value is the first preset value, the electric energy storage device is in a discharge state, S _ES (t) is the remaining power of the electric energy storage device at the time t, < >>Is the rated capacity of the above-mentioned electric energy storage device.

The optimizing unit includes:

the optimization module is used for optimizing the constraint model by adopting an NSGA-II algorithm based on the first function and the second function to obtain a plurality of first operation strategies, one of whichThe first operation strategy includes a plurality of second power curves, one of the second power curves in the first operation strategy corresponds to one of the energy devices, the second power curve is a curve of the output power of the corresponding energy device changing with time, and the first function is thatThe second function is->Wherein (1)> C(x _t ) For the operating costs of the integrated energy system at time t, D (x _t ) C, punishing cost of the carbon emission of the integrated energy system at the time t _i Cost x for the ith energy device to emit unit energy _i，t For the output power of the ith energy device at the time t, S _sale，t For the energy selling benefit at time t, R is punishment cost of carbon emission unit, o _i Carbon emission when the ith energy equipment emits unit energy, wherein the sales energy benefit is obtained by selling the first object to the agricultural greenhouse by the comprehensive energy system; />

In particular to minimize the operating costs of integrated energy systems And minimizing the carbon emission penalty cost of integrated energy systems +.>For the purpose, solving a constraint model by adopting an NSGA-II algorithm to obtain a series of pareto solutions, and obtaining a plurality of first operation strategies of the comprehensive energy system.

The first acquisition module is used for acquiring the output power of each energy device of the first operation strategies at the same moment to obtain a plurality of groups of output power of the energy devices, wherein the output power of one group of the energy devices corresponds to one moment, and the output power of one group of the energy devices corresponds to one first operation strategy;

the setting module is used for setting a plurality of second preset carbon punishment ratios, the second preset carbon punishment ratios are located in a preset carbon punishment ratio range, and the upper limit value of the preset carbon punishment ratio range is smaller than the first preset carbon punishment ratio;

the processing module is used for selecting target preset carbon punishment rates, determining the carbon punishment rate with the smallest difference value with the target preset carbon punishment rate as a target carbon punishment rate at different moments to obtain a group of target carbon punishment rates, wherein the target preset carbon punishment rate is one of all the second preset carbon punishment rates, one target carbon punishment rate is obtained at one moment for a plurality of the first operation strategies, and the target carbon punishment rates in the group of target carbon punishment rates are in one-to-one correspondence with the moments;

The repeating module is used for repeating the processing steps for a plurality of times to obtain a plurality of groups of target carbon punishment ratios, and one preset carbon punishment ratio corresponds to one group of target carbon punishment ratios;

the second obtaining module is configured to obtain output power of each energy device corresponding to the moment in the first operation policy corresponding to each target carbon punishment ratio, so as to construct a plurality of second operation policies, one of the second operation policies corresponds to a group of target carbon punishment ratios, and the other of the second operation policies includes a plurality of first power curves;

specifically, n second operation strategies s= [ S ] can be obtained by setting n second preset carbon punishment ratios ₁ ，S ₂ ，...，S _n ]In the comprehensive energy system, the ith second operation strategy S _i During operation, the carbon punishment rate of the comprehensive energy system at each moment is near the second preset carbon punishment rate, and the carbon punishment rate is equal to the carbon punishment rate of the comprehensive energy systemWhen each second operation strategy is operated, the carbon punishment ratio of the comprehensive energy system at each moment is smaller than the first preset carbon punishment ratio, so that the carbon punishment ratio at all moments is smaller than the first preset carbon punishment ratio, and the carbon emission punishment cost of the comprehensive energy system is controlled not to be too high.

A third obtaining module, configured to obtain output powers of the energy devices of the plurality of second operation policies at the same time, to obtain a plurality of groups of output powers of the energy devices, where the output powers of one group of the energy devices correspond to one time, and the output powers of one group of the energy devices correspond to one second operation policy;

A determining module for, in the followingIn the case of (2), determining the j-th above-mentioned second operation strategy as the above-mentioned optimum operation strategy, wherein ∈> C(x _i，t ) _j C (x) at time t when the integrated energy system is operated according to the j-th second operation strategy _i，t )，D(x _i，t ) _j D (x) at time t when the integrated energy system is operated according to the j-th second operation strategy _i，t )，C(x _i，t ) _j+1 C (x) at time t when operating according to the j+1th second operation strategy for the integrated energy system _i，t )，D(x _i，t ) _j+1 D (x) at time t when operating according to the j+1th second operation strategy for the integrated energy system _i，t )。

The optimization module comprises:

A determination sub-module for determining according toDetermining the sales energy benefit at the time t, wherein S _sale，t G, for the sales energy benefit at the time t _e For the unit price of the electric power, M _e，t Providing the electric power of the agricultural greenhouse to the integrated energy system at the time t,/-or%>The unit price of the carbon dioxide is V _t For the net photosynthesis rate of the above agricultural greenhouse at time t,/for the above agricultural greenhouse>g _c G is the unit price of the cold power _h For the unit price of the above thermal power, Δq _gh，t The heat of the agricultural greenhouse at the time t is changed.

Specifically, the comprehensive energy system supplies electric power, thermal power and cold power to the agricultural greenhouse, the comprehensive energy system charges the agricultural greenhouse for supplying electric power, thermal power and cold power, and the comprehensive energy system also comprises a C02 distribution and supply system, wherein the C02 distribution and supply system conveys part of carbon dioxide in the comprehensive energy system to the agricultural greenhouse, and crops in the agricultural greenhouse consume two crops when the crops in the agricultural greenhouse perform light interactionCarbon oxide, thereby reducing carbon dioxide emissions from integrated energy systems, wherein,wherein I is _i The illumination intensity of the agricultural greenhouse at the moment T is T _t The environmental temperature of the agricultural greenhouse at the time t is C, the carbon dioxide concentration of the agricultural greenhouse at the time t is V _t In order to achieve the net photosynthesis rate of the agricultural greenhouse at the time t, a, b, c, d, h, k is a preset parameter, in some embodiments, plants in the agricultural greenhouse are cucumbers, as shown in fig. 4, gray scale of points represents the magnitude of the net photosynthesis rate, when the carbon dioxide concentration or the illumination intensity is small (near 0), the net photosynthesis rate is negative, at the moment, the plants in the agricultural greenhouse only breathe, the carbon dioxide concentration in the agricultural greenhouse rises, when the temperature is 18 ℃, the maximum net photosynthesis rate is near 1600 mu mol/L of the carbon dioxide concentration, when the illumination intensity is 1500-1800 mu mol/m < 2 >. S, the net photosynthesis rate is 35.15 mu mol/m < 2 >. S-40.60 mu.mol/m < s, when the temperature is 35 ℃, the carbon dioxide concentration is 1500-2000 mu mol/m < 2 >. S, the net photosynthesis rate exceeds 40.60 mu mol/m < 2 >. S, no matter how the temperature and the illumination intensity change, the maximum net photosynthesis rate is at the maximum value of the carbon dioxide concentration is 1600 mu mol/L, the current growth rate can be ensured, the maximum net photosynthesis rate can be controlled to be fast, the current growth rate is equal to the maximum at the temperature of 1500 mu mol/2000 ℃, the carbon dioxide concentration is equal to 1600 mu.C, the current growth rate can be ensured, and the current growth rate can be controlled at the maximum temperature is equal to the maximum temperature of the temperature is about 35 ℃, and the temperature is about 10 mu C, and the current temperature is higher than the temperature is up to the maximum, and the temperature is up to 40. / >

The operation device of the integrated energy system comprises a processor and a memory, wherein the acquisition unit, the modeling unit, the optimizing unit, the control unit and the like are all stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions. The modules are all located in the same processor; alternatively, the above modules may be located in different processors in any combination.

The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The kernel can be provided with one or more than one kernel, and the problem that the operation of the comprehensive energy park lacks consideration of the agricultural greenhouse with high carbon reduction capability in the prior art is solved by adjusting the kernel parameters.

The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.

The embodiment of the invention provides a computer readable storage medium, which comprises a stored program, wherein the program is used for controlling equipment where the computer readable storage medium is located to execute the operation method of the comprehensive energy system.

Specifically, the operation method of the integrated energy system comprises the following steps:

The embodiment of the invention provides a processor, which is used for running a program, wherein the running method of the comprehensive energy system is executed when the program runs.

The embodiment of the invention provides an electronic device, which comprises a processor, a memory and a program stored on the memory and capable of running on the processor, wherein the processor realizes at least the following steps when executing the program:

The device herein may be a server, PC, PAD, cell phone, etc.

The present application also provides a computer program product adapted to perform a program initialized with at least the following method steps when executed on a data processing device:

It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may be implemented in program code executable by computing devices, so that they may be stored in a storage device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.

From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

1) In the operation method of the comprehensive energy system, the comprehensive energy system is connected with the agricultural greenhouse, carbon dioxide from the comprehensive energy system is consumed when crops in the agricultural greenhouse are subjected to photosynthesis, the carbon emission of the comprehensive energy system is reduced by the agricultural greenhouse, and then the carbon emission punishment cost of the comprehensive energy system is reduced, when an optimal operation strategy is solved, on one hand, the operation cost of the comprehensive energy system is considered, on the other hand, the carbon emission punishment cost of the comprehensive energy system is considered, the carbon punishment rate of the comprehensive energy system at all moments is ensured to be smaller than the first preset carbon punishment rate, so that the carbon emission punishment cost of the comprehensive energy system is controlled to be not too high, and on the premise that the carbon punishment rate at all moments is ensured to be smaller than the first preset carbon punishment rate, the optimal operation strategy meeting the total cost minimum target of the comprehensive energy system is obtained, and the problem of the cooperative operation of the comprehensive energy system and the agricultural greenhouse with high carbon reduction capability in the prior art is solved.

2) In the operation device of the comprehensive energy system, the comprehensive energy system is connected with the agricultural greenhouse, carbon dioxide from the comprehensive energy system is consumed when crops in the agricultural greenhouse are subjected to photosynthesis, the carbon emission of the comprehensive energy system is reduced by the agricultural greenhouse, and then the carbon emission punishment cost of the comprehensive energy system is reduced, when an optimal operation strategy is solved, on the one hand, the operation cost of the comprehensive energy system is considered, on the other hand, the carbon emission punishment cost of the comprehensive energy system is considered, the carbon punishment rate of the comprehensive energy system at all moments is ensured to be smaller than the first preset carbon punishment rate, so that the optimal operation strategy meeting the minimum total cost target of the comprehensive energy system is obtained on the premise that the carbon emission punishment cost of the comprehensive energy system is not too high, and the agricultural greenhouse with high carbon reduction capability is ensured to be lacked in the prior art.

The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations can be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. An operating method of an integrated energy system, characterized in that the integrated energy system is connected to an agricultural greenhouse, the integrated energy system comprising at least a plurality of energy devices for producing a first object and/or a second object or for storing the first object, wherein the first object comprises: electric power, thermal power, cold power, the second object comprising: carbon dioxide, the agricultural greenhouse being for consuming the first object and the second object, the method comprising:

acquiring at least the maximum output power of the energy device and the minimum output power of the energy device;

establishing a constraint model at least according to the maximum output power of the energy equipment and the minimum output power of the energy equipment, wherein the constraint model is at least used for constraining the output power of the energy equipment;

optimizing the constraint model to obtain an optimal operation strategy, wherein the optimal operation strategy comprises a plurality of first power curves, one first power curve corresponds to one energy device, the first power curve is a curve of the change of the output power of the corresponding energy device along with time, when the comprehensive energy system operates according to the optimal operation strategy, the carbon punishment ratio of the comprehensive energy system at all moments is smaller than a first preset carbon punishment ratio, and the total cost of the comprehensive energy system is the lowest, the carbon punishment ratio of the comprehensive energy system at one moment is the ratio of the carbon emission punishment cost of the comprehensive energy system at the moment to the operation cost of the comprehensive energy system at the moment, and the total cost of the comprehensive energy system is the sum of the operation cost of the comprehensive energy system at all moments and the carbon emission punishment cost of the comprehensive energy system at all moments;

And controlling the comprehensive energy system to operate according to the optimal operation strategy.

2. The method of claim 1, wherein optimizing the constraint model results in an optimal operating strategy, comprising:

optimizing the constraint model by adopting an NSGA-II algorithm based on a first function and a second function to obtain a plurality of first operation strategies, wherein one first operation strategy comprises a plurality of second power curves, one second power curve in one first operation strategy corresponds to one energy device, the second power curve is a curve of the corresponding change of the output power of the energy device along with time, and the first function is thatThe second function isWherein (1)> C(x _t ) For the operating costs of the integrated energy system at time t, D (x _t ) The carbon number of the integrated energy system at the time tPut penalty cost, c _i Cost x of the energy source equipment for emitting unit energy _i,t For the output power of the ith energy equipment at the time t, S _sale,t For the energy selling benefit at the time t, R is punishment cost of carbon emission unit, o _i Carbon emission amount when unit energy is sent out for the ith energy equipment, wherein the energy selling benefit is obtained by selling the first object to the agricultural greenhouse by the comprehensive energy system;

Obtaining output power of each energy device of a plurality of first operation strategies at the same time to obtain output power of a plurality of groups of energy devices, wherein the output power of one group of energy devices corresponds to one time, and the output power of one group of energy devices corresponds to one first operation strategy;

setting a plurality of second preset carbon punishment ratios, wherein the second preset carbon punishment ratios are located in a preset carbon punishment ratio range, and the upper limit value of the preset carbon punishment ratio range is smaller than the first preset carbon punishment ratio;

a processing step of selecting a target preset carbon punishment ratio, determining the carbon punishment ratio with the smallest difference value with the target preset carbon punishment ratio as a target carbon punishment ratio at different moments to obtain a group of target carbon punishment ratios, wherein the target preset carbon punishment ratio is one of all the second preset carbon punishment ratios, one target carbon punishment ratio is obtained for a plurality of first operation strategies at one moment, and the target carbon punishment ratios in the group of target carbon punishment ratios are in one-to-one correspondence with the moments;

repeating the processing steps for a plurality of times to obtain a plurality of groups of target carbon punishment ratios, wherein one preset carbon punishment ratio corresponds to one group of target carbon punishment ratios;

Obtaining output power of each energy device corresponding to the moment in the first operation strategy corresponding to each target carbon punishment ratio to construct a plurality of second operation strategies, wherein one second operation strategy corresponds to one group of target carbon punishment ratio, and one second operation strategy comprises a plurality of first power curves;

obtaining output power of each energy device of a plurality of second operation strategies at the same time to obtain output power of a plurality of groups of energy devices, wherein the output power of one group of energy devices corresponds to one time, and the output power of one group of energy devices corresponds to one second operation strategy;

at the position ofIn the case of (2), determining the j-th said second operation strategy as said optimal operation strategy, wherein ∈>C(x _i,t ) _j C (x) at the time t when the integrated energy system is operated according to the j-th second operation strategy _i,t )，D(x _i,t ) _j D (x) at said time t when operating according to the j-th second operating strategy for said integrated energy system _i,t )，C(x _i,t ) _j+1 C (x) at the time t when the integrated energy system is operated according to the j+1th second operation strategy _i,t )，D(x _i,t ) _j+1 D (x) at the time t when the integrated energy system is operated according to the j+1th second operation strategy _i,t )。

3. The method of claim 2, wherein during optimizing the constraint model using NSGA-II algorithm based on the first function and the second function to obtain the first plurality of operating strategies, the method further comprises:

according toDetermining the sales energy gain at the time t, wherein S _sale,t For the sales energy benefit at the time t, g _e For the unit price of the electric power, M _e,t Providing the integrated energy system to the farmer at the time tSaid electric power of the industrial greenhouse, +.>For the unit price of the carbon dioxide, V _t For the net photosynthesis rate of the green house at the time t,/for the green house>g _c G is the unit price of the cold power _h For the unit price of the thermal power, Δq _gh,t And (5) changing the heat quantity of the agricultural greenhouse at the time t.

4. The method of claim 1, wherein the integrated energy system further comprises a plurality of energy usage devices for consuming the first object, the constraint model comprises a first constraint sub-model, and establishing a constraint model comprises:

establishing a first constraint sub-model, wherein the first constraint sub-model is as followsWherein (1)>For the input power of the ith energy device at time t,/for the energy device >For the output power of the ith energy device at time t,the first demand power is the sum of the demand power of the agricultural greenhouse at the time t, and the second demand power is the sum of the demand power of all the energy-consuming devices at the time t.

5. The method of claim 1, wherein the energy device comprises an energy storage device for storing the first object, the constraint model comprises a second constraint sub-model, and establishing the constraint model comprises:

establishing a second constraint sub-model, wherein the second constraint sub-model is thatWherein (1)>Input power for the energy storage device at time t, < >>For the output power of the energy storage device at the time t +.>And (3) the power lost by the energy storage equipment at the moment T is the energy storage period.

6. The method of claim 5, wherein the energy storage device comprises an electrical energy storage device for storing the electrical power, the constraint model comprises a third constraint sub-model, and establishing a constraint model comprises:

establishing a third constraint sub-model, wherein the third constraint sub-model is that Wherein (1)>For the input power of the electrical energy storage device at the time t,/and>for the electricity storageMaximum input power of the device, +.>For the output power of the electrical energy storage device at the time t,/and>x is the maximum output power of the electric energy storage device _ES When the first preset value is, the electric energy storage equipment is in a charging state, Y _ES When the first preset value is, the electric energy storage device is in a discharge state, S _ES (t) is the remaining power of the electrical energy storage device at the time t,/and>is the rated capacity of the electrical energy storage device.

7. An operating device of an integrated energy system, characterized in that the integrated energy system is connected with an agricultural greenhouse, the integrated energy system at least comprising a plurality of energy devices for producing a first object and/or a second object or for storing the first object, wherein the first object comprises: electric power, thermal power, cold power, the second object comprising: carbon dioxide, the agricultural greenhouse being for consuming the first object and the second object, the apparatus comprising:

an acquisition unit configured to acquire at least a maximum output power of the energy device and a minimum output power of the energy device;

The modeling unit is used for building a constraint model at least according to the maximum output power of the energy equipment and the minimum output power of the energy equipment, and the constraint model is at least used for constraining the output power of the energy equipment;

the optimizing unit is used for optimizing the constraint model to obtain an optimal operation strategy, the optimal operation strategy comprises a plurality of first power curves, one first power curve corresponds to one energy device, the first power curve is a curve of the corresponding output power of the energy device, which changes along with time, when the comprehensive energy system operates according to the optimal operation strategy, the carbon punishment ratio of the comprehensive energy system at all moments is smaller than a first preset carbon punishment ratio, and the total cost of the comprehensive energy system is the lowest, the carbon punishment ratio of the comprehensive energy system at one moment is the ratio of the carbon emission punishment cost of the comprehensive energy system at the moment to the operation cost of the comprehensive energy system at the moment, and the total cost of the comprehensive energy system is the sum of the operation cost of the comprehensive energy system at all moments and the carbon emission punishment of the comprehensive energy system at all moments;

And the control unit is used for controlling the comprehensive energy system to operate according to the optimal operation strategy.

8. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program, when run, controls a device in which the computer-readable storage medium is located to perform the method of operating the integrated energy system according to any one of claims 1 to 6.

9. A processor for running a program, wherein the program when run performs the method of operating the integrated energy system of any one of claims 1 to 6.

10. An electronic device, comprising: one or more processors, memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing the method of operation of the integrated energy system of any of claims 1-6.