Comprehensive energy control system and method

Abstract

The invention relates to an integrated energy control system and method, and the system comprises a data input module which is used for inputting the historical operation data of the integrated energy control system into a main control processor; the main control processor is used for executing a target optimization function constructed based on the installation cost, the operation and maintenance cost and the power grid electricity purchase cost of the comprehensive energy control system; and according to the historical operation data, a regulation and control strategy is generated through the target optimization function under a preset constraint condition, and the regulation and control strategy is used for indicating energy allocation of the integrated energy control system. According to the application, an energy allocation strategy is generated based on the installation cost, the operation and maintenance cost and the power grid electricity purchase cost of the comprehensive energy control system, so that the operation of the energy system is optimized, the energy utilization efficiency can be effectively improved, the energy safety can be guaranteed, and the problem of uneven energy allocation of the comprehensive energy system is solved.

Description

Technical Field

[0001] This application relates to the field of automatic control technology, and particularly to a comprehensive energy control system and method. Background Art

[0002] With the continuous growth of energy demand and the diversification of energy structures, as an important system in the energy supply and demand process, the integrated energy system faces the problem of supply-demand mismatch often occurring due to the imbalance between energy supply and demand.

[0003] Existing integrated energy systems in industrial parks generally purchase electricity from the power grid immediately after the photovoltaic power generation is insufficient and the energy storage device is depleted. This power consumption mode has the problem of being difficult to effectively integrate and utilize various energy resources. Moreover, this simple mechanism of energy supply-demand allocation will make the problem of supply-demand mismatch more serious, that is, it is easy to cause insufficient or excessive energy supply, affect the stable operation of the integrated energy system, lead to low energy utilization efficiency, and waste energy resources.

[0004] Currently, no effective solution has been proposed for the problem of uneven energy allocation in the integrated energy system in related technologies. Summary of the Invention

[0005] Embodiments of this application provide a comprehensive energy control system and method to at least solve the problem of uneven energy allocation in the integrated energy system in related technologies.

[0006] In a first aspect, embodiments of this application provide a comprehensive energy control system, and the system includes a data input module and a main control processor;

[0007] The data input module is configured to input historical operation data of the comprehensive energy control system into the main control processor;

[0008] The main control processor is configured to execute a preset constraint condition for constraining a target optimization function;

[0009] The main control processor is configured to execute a target optimization function constructed based on the installation cost, operation and maintenance cost, and power grid purchase cost of the comprehensive energy control system;

[0010] The main control processor is configured to generate a regulation strategy through the target optimization function under the preset constraint condition according to the historical operation data, where the regulation strategy is used to indicate the energy allocation of the comprehensive energy control system.

[0011] In some of these embodiments, the main control processor is configured to execute a target optimization function, where the target optimization function is min C ATC =C IN +COM +C ES ,C IN is the installation cost of the integrated energy control system, C OM is the operation and maintenance cost of the integrated energy control system, C ES is the power purchase cost from the power grid of the integrated energy control system.

[0012] In some of these embodiments, the main control processor is configured to execute the target optimization function min C ATC = C IN + C OM + C ES , where the operation and maintenance cost of the integrated energy control system is the operation and maintenance cost per unit output power of device s in the integrated energy control system, is the unit output power of device s at time period t, and t is the number of time periods; T is the unit time period length.

[0013] In some of these embodiments, the main control processor is configured to execute the target optimization function min C ATC = C IN + C OM + C ES , where the power purchase cost from the power grid of the integrated energy control system C(t) is the time-of-use electricity price at time period t; P(t) is the power supply obtained from the main grid at time period t.

[0014] In some of these embodiments, the system includes a control instruction module, an automatic control module, and a manual control module;

[0015] The control instruction module is configured to send a direct control instruction to the automatic control module and / or send an indirect control notification to the manual control module according to the regulation strategy;

[0016] The automatic control module is configured to directly control the automatic control devices according to the direct control instruction;

[0017] The manual control module is configured to indirectly control the manual control devices via user instructions according to the indirect control notification.

[0018] In some of these embodiments, the main control processor is configured to execute a first preset constraint condition for constraining the target optimization function, where the first preset constraint condition includes a total power balance constraint, a rectifier and inverter efficiency constraint, a total DC bus load constraint, and a load fluctuation constraint.

[0019] In some of these embodiments, the main control processor is configured to execute a second preset constraint condition for constraining the target optimization function, where the second preset constraint condition includes a storage battery discharge power constraint, a storage battery state of charge constraint, and a storage battery daily power accumulation constraint.

[0020] In some of these embodiments, the main control processor is configured to execute a third preset constraint condition for constraining the target optimization function, where the third preset constraint condition includes an ice thermal energy storage device constraint and a water thermal energy storage device constraint.

[0021] In some of these embodiments, the system includes a data acquisition module, a memory, and a display module;

[0022] The data acquisition module is configured to acquire historical operation data of the integrated energy control system;

[0023] The memory is configured to store the historical operation data acquired by the data acquisition module;

[0024] The display module is configured to visualize the historical operation data stored in the memory.

[0025] In a second aspect, an embodiment of the present application provides an integrated energy control method. The implementation of the method is based on the system described in any one of the above first aspects. The method includes:

[0026] Input the historical operation data of the integrated energy control system into the main control processor;

[0027] According to the historical operation data, generate a regulation strategy through the target optimization function under the preset constraint conditions, where the regulation strategy is used to indicate the energy allocation of the integrated energy control system.

[0028] Compared with the related art, an integrated energy control system and method provided by an embodiment of the present application, where the system includes: a data input module for inputting historical operation data of the integrated energy control system into the main control processor; a main control processor for executing a target optimization function constructed based on the installation cost, operation and maintenance cost, and grid power purchase cost of the integrated energy control system; generating a regulation strategy through the target optimization function under the preset constraint conditions according to the historical operation data, where the regulation strategy is used to indicate the energy allocation of the integrated energy control system. Through this system, a strategy for energy allocation is generated based on the installation cost, operation and maintenance cost, and grid power purchase cost of the integrated energy control system, thereby optimizing the operation of the energy system, effectively improving energy utilization efficiency and ensuring energy security, and solving the problem of uneven energy allocation in the integrated energy system. Description of the Drawings

[0029] The accompanying drawings described herein are used to provide a further understanding of the present application and form a part of the present application. The schematic embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation to the present application. In the drawings:

[0030] Figure 1 is a structural block diagram of an integrated energy control system according to an embodiment of the present application;

[0031] Figure 2 is a schematic structural diagram of an integrated energy control system according to an embodiment of the present application;

[0032] Figure 3 is a schematic structural diagram of an integrated energy control system according to an embodiment of the present application;

[0033] Figure 4 is a schematic internal structure diagram of an electronic device according to an embodiment of the present application.

[0034] Reference numerals in the drawings: 1, data input module; 2, main control processor; 3, control instruction module; 4, automatic control module; 5, manual control module; 6, data acquisition module; 7, memory; 8, display module; 1a, distribution network; 1b, AC load group; 1c, transformer; 1d, water thermal energy storage device; 1e, ice thermal energy storage device; 1f, AC380V busbar; 2a, first bidirectional AC / DC converter; 2b, second bidirectional AC / DC converter; 3a, first 48V DC busbar; 3d, second 48V DC busbar; 3b, first unidirectional DC / DC converter; 3e, second unidirectional DC / DC converter; 3c, first bidirectional DC / DC converter; 3f, second bidirectional DC / DC converter; 4a, photovoltaic power generation system 1; 4d, photovoltaic power generation system 2; 4b, energy storage device 1; 4e, energy storage device 2; 4c, DC load group 1; 4f, DC load group 2. Detailed implementation manners

[0035] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be described and explained below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the scope of protection of the present application.

[0036] Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application. For those of ordinary skill in the art, without creative efforts, the present application can also be applied to other similar scenarios based on these drawings. In addition, it can also be understood that although the efforts made in such a development process may be complex and lengthy, for those of ordinary skill in the art related to the content disclosed in the present application, some design, manufacturing, or production changes based on the technical content disclosed in the present application are only conventional technical means and should not be understood as the content disclosed in the present application being insufficient.

[0037] In the present application, the mention of "embodiment" means that the specific features, structures, or characteristics described in connection with the embodiment can be included in at least one embodiment of the present application. The appearance of this phrase at various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in the present application can be combined with other embodiments without conflict.

[0038] Unless otherwise defined, the technical terms or scientific terms involved in the present application should be the ordinary meanings understood by those of ordinary skill in the technical field to which the present application belongs. The similar words such as "a", "an", "one kind", "the" involved in the present application do not represent a quantity limitation and can represent a singular or plural number. The terms "including", "comprising", "having" and any variations thereof involved in the present application are intended to cover non-exclusive inclusion; for example, a process, method, system, product or device including a series of steps or modules (units) is not limited to the listed steps or units, but may further include unlisted steps or units, or may further include other steps or units inherent to these processes, methods, products or devices. The similar words such as "connected", "coupled" involved in the present application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "plurality" involved in the present application refers to two or more. "And / or" describes the association relationship of associated objects and indicates that three relationships can exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after. The terms "first", "second", "third", etc. involved in the present application are only used to distinguish similar objects and do not represent a specific order for the objects.

[0039] The embodiment of the present application provides a comprehensive energy control system. Figure 1 is a structural block diagram of the comprehensive energy control system according to the embodiment of the present application, as Figure 1As shown, the system includes a data input module and a main control processor;

[0040] The data input module is used to input the historical operation data of the integrated energy control system into the main control processor;

[0041] The main control processor is used to execute the preset constraint conditions for constraining the target optimization function;

[0042] The main control processor is used to execute the target optimization function constructed based on the installation cost, operation and maintenance cost, and grid power purchase cost of the integrated energy control system;

[0043] The main control processor is used to generate a regulation strategy through the target optimization function under the preset constraint conditions according to the historical operation data, wherein the regulation strategy is used to indicate the energy allocation of the integrated energy control system.

[0044] In some specific embodiments, the main control processor is used to execute the target optimization function, wherein the target optimization function is min C ATC = C IN + C OM + C ES , C IN is the installation cost of the integrated energy control system, C OM is the operation and maintenance cost of the integrated energy control system, C ES is the grid power purchase cost of the integrated energy control system.

[0045] In some preferred embodiments, the main control processor is used to execute the target optimization function, wherein the target optimization function is min C ATC = C IN + C OM + C ES , wherein the installation cost C IN of the integrated energy control system is a fixed value.

[0046] In some preferred embodiments, the main control processor is used to execute the target optimization function min C ATC = C IN + C OM + C ES , wherein the operation and maintenance cost of the integrated energy control system is the operation and maintenance cost per unit output power of device s in the integrated energy control system, is the unit output power of device s at time period t, and t is the number of time periods; T is the unit time period length.

[0047] In some preferred embodiments, the main control processor is used to execute the target optimization function min C ATC = C IN + COM +C ES , where the grid power purchase cost of the integrated energy control system C(t) is the time-of-use electricity price at time period t; P(t) is the power supply obtained from the main grid at time period t.

[0048] Through the integrated energy control system provided by the application examples, a strategy for energy allocation is generated based on the installation cost, operation and maintenance cost, and grid power purchase cost of the integrated energy control system, thereby optimizing the operation of the energy system, effectively improving energy utilization efficiency and ensuring energy security, and solving the problem of uneven energy allocation in the integrated energy system.

[0049] In some of these embodiments, Figure 2 is a schematic structural diagram of the integrated energy control system according to the embodiments of the present application, as Figure 2 shown, the system further includes a control instruction module, an automatic control module, and a manual control module;

[0050] The control instruction module is configured to send a direct control instruction to the automatic control module and / or send an indirect control notification to the manual control module according to the regulation strategy;

[0051] The automatic control module is configured to directly control the automatic control equipment according to the direct control instruction;

[0052] The manual control module is configured to indirectly control the manual control equipment via a user instruction according to the indirect control notification.

[0053] In some of these embodiments, as Figure 2 shown, the system further includes a data acquisition module, a memory, and a display module;

[0054] The data acquisition module is configured to acquire the historical operation data of the integrated energy control system;

[0055] The memory is configured to store the historical operation data acquired by the data acquisition module;

[0056] The display module is configured to visualize the historical operation data stored in the memory.

[0057] It should be noted that the above-mentioned various modules can be functional modules or program modules, and can be implemented either by software or by hardware. For the modules implemented by hardware, the above-mentioned various modules can be located in the same processor; or the above-mentioned various modules can also be located in different processors in any combination form.

[0058] In some of these embodiments, the main control processor 2 is configured to execute a preset constraint condition for constraining a target optimization function, and the preset constraint condition includes a first preset constraint condition, a second preset constraint condition, and a third preset constraint condition;

[0059] Further, Figure 3 is a schematic structural diagram of an integrated energy control system according to an embodiment of the present application. As Figure 3 shown, the arrow direction is the power flow direction. Based on the actual deployment application scenario of the integrated energy control system, it is set that the first preset constraint condition includes a total power balance constraint, an AC-DC converter efficiency constraint, a total DC bus load constraint, and a load fluctuation constraint.

[0060] The total power balance constraint is:

[0061] P(t) = P AC-load (t) + P AC-DC (t) + P i (t) - P i ′(t) + P CT (t)

[0062] In the formula, P AC-load (t) is the AC load in time period t; P AC-DC (t) is the power of the AC-DC converter in time period t; P i (t) is the power consumption of the ice storage tank in time period t, P i ′(t) = ηP i (t) is the cooling load borne by the ice storage tank in time period t, η is the cooling efficiency (due to cold loss). When the ice storage tank is making ice and storing cold, P i (t) > 0, P i ′(t) = 0. When the ice storage tank is melting ice and supplying cold, P i (t) = 0, P i ′(t) > 0.

[0063] The expression of the power consumption P CT (t) of the cooling tower in time period t is:

[0064] P CT (t) = 0.025[Q k (t) + P k (t)]

[0065] In the formula, P k (t) is the power consumption of the chiller in time period t; Q k (t) = P k (t)γ EER is the cooling capacity of the chiller, and γ EER is the chiller energy efficiency ratio, which can be obtained by fitting the chiller operation parameters.

[0066] The AC-DC converter efficiency constraint is:

[0067]

[0068] In the formula, η A / D is the conversion efficiency from AC to DC; η D / A is the conversion efficiency from DC to AC; P DC (t) is the total DC bus load in time period t.

[0069] The total DC bus load constraint is:

[0070] P DC (t) + P PV (t) = P DC-load (t) + P B (t)

[0071] In the formula, P PV (t) is the photovoltaic power generation; P DC-load (t) is the DC load; P B (t) is the power of the energy storage battery in time period t. When charging, P B (t) > 0, and when discharging, P B (t) < 0.

[0072] The load fluctuation constraint is:

[0073]

[0074] In the formula, P(t) is the active power of the load in time period t; the proportionality coefficient is given according to specific actual situations and experience, and here 0.1 and 0.15 are taken. Taking the load volatility l as the standard to judge the load fluctuation, it is defined as the ratio of the standard deviation σ of the active power of the load to the geometric mean λ of the active power of the load, that is:

[0075] Based on the actual deployment and application scenarios of the integrated energy control system, the second preset constraint conditions include the energy storage battery discharge power constraint, the state of charge constraint of the energy storage battery, and the daily energy accumulation constraint of the energy storage battery.

[0076] The energy storage battery discharge power constraint is:

[0077]

[0078] In the formula, is the maximum charging power of the energy storage battery; is the maximum discharge power of the energy storage battery.

[0079] The state of charge constraint of the energy storage battery is:

[0080]

[0081] Wherein, E max is the maximum power of the energy storage battery; E min is the minimum power of the energy storage battery; E B (t) is the battery energy storage capacity at time period t; SOC min and SOC max are the minimum and maximum state of charge respectively; R is the battery capacity.

[0082] The daily power accumulation constraint of the energy storage battery is:

[0083]

[0084] This formula indicates that the daily accumulated power of the energy storage battery is 0.

[0085] Based on the actual deployment application scenario of the integrated energy control system, the third preset constraint conditions are set to include ice storage cooling device constraints and water storage cooling device constraints.

[0086] The ice storage cooling device constraint is:

[0087]

[0088] Wherein, Q kmax is the maximum cooling capacity of the ice storage cooling unit; Q i (t) is the cooling capacity of the ice storage tank at time period t; Q imax is the maximum cooling capacity of the ice storage tank; Q I is the capacity of the ice storage tank.

[0089] The water storage cooling device constraint is:

[0090]

[0091] Wherein, W k (t) is the cooling capacity of the water storage cooling machine at time period t; W kmax is the maximum cooling capacity of the water storage cooling unit; W i (t) is the cooling capacity of the water storage tank at time period t; W imax is the maximum cooling capacity of the water storage tank; W I is the capacity of the water storage tank; Q(t) = Q i (t) + Q k (t); W(t) = W i (t) + W k (t); Q sys (t) is the cooling capacity required by the system.

[0092] It should be noted that, considering the scenarios of chilled water energy storage and ice energy storage, a comprehensive energy control system based on demand response is provided, which can formulate the power generation and power consumption plans for the comprehensive energy system of the current day in advance according to information such as load and photovoltaic power generation prediction data, time-of-use electricity price, etc., with the minimum system operation cost as the objective function, and coordinate and control various resources to achieve the purposes of efficient energy utilization, resource conservation, and low-cost electricity consumption.

[0093] An embodiment of the present application provides a comprehensive energy control method. The implementation of the method is based on the system in the above embodiment. The method includes:

[0094] S1, input the historical operation data of the comprehensive energy control system into the main control processor;

[0095] S2, generate a regulation strategy through a target optimization function under preset constraint conditions according to the historical operation data, where the regulation strategy is used to indicate the energy allocation of the comprehensive energy control system.

[0096] Through the comprehensive energy control method provided by the application embodiment, a strategy for energy allocation is generated based on the installation cost, operation and maintenance cost, and grid power purchase cost of the comprehensive energy control system, thereby optimizing the operation of the energy system, effectively improving the energy utilization efficiency and ensuring energy security, and solving the problem of uneven energy allocation in the comprehensive energy system.

[0097] It should be noted that the steps shown in the above process or the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0098] This embodiment also provides an electronic device, including a memory and a processor. A computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0099] Optionally, the above electronic device may further include a transmission device and an input / output device, where the transmission device is connected to the above processor, and the input / output device is connected to the above processor.

[0100] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation manners, and this embodiment will not be elaborated here.

[0101] In addition, in combination with the comprehensive energy control method in the above embodiment, an embodiment of the present application can be implemented by providing a storage medium. A computer program is stored on the storage medium; when the computer program is executed by a processor, any one of the comprehensive energy control methods in the above embodiments is implemented.

[0102] In one embodiment, a computer device is provided, which may be a terminal. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, it implements an integrated energy control method. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device may be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the housing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0103] In one embodiment, Figure 4 is a schematic internal structure diagram of an electronic device according to an embodiment of the present application, as Figure 4 shown, an electronic device is provided, which may be a server, and its internal structure diagram may be as Figure 4 shown. The electronic device includes a processor, a network interface, an internal memory, and a non-volatile memory connected via an internal bus. Among them, the non-volatile memory stores an operating system, a computer program, and a database. The processor is used to provide computing and control capabilities. The network interface is used to communicate with an external terminal via a network connection. The internal memory is used to provide an environment for the operation of the operating system and the computer program. When the computer program is executed by the processor, it implements an integrated energy control method. The database is used to store data.

[0104] Those skilled in the art can understand that Figure 4 the structure shown in

[0105] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. This computer program can be stored in a non-volatile computer-readable storage medium. When this computer program is executed, it can include the processes of the embodiments of the above various methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0106] Those skilled in the art should understand that the technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope described in this specification.

[0107] The above-described embodiments only represent several implementation manners of the present application. Their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. An integrated energy control system, characterized in that: The system includes a data input module and a main control processor; The data input module is used to input the historical operation data of the integrated energy control system into the main control processor; The main control processor is used to execute preset constraints for constraining the target optimization function; The main control processor is used to execute the target optimization function constructed based on the installation cost, operation and maintenance cost and power grid purchase cost of the integrated energy control system; The main control processor is used to generate a control strategy through the target optimization function according to the historical operation data and under the preset constraints, wherein the control strategy is used to instruct the energy allocation of the integrated energy control system.

2. The system according to claim 1, characterized in that The main control processor is used to execute the target optimization function, wherein the target optimization function is min C ATC =C IN +C OM +C ES , C IN is the installation cost of the integrated energy control system, C OM is the operation and maintenance cost of the integrated energy control system, C ES The cost of purchasing electricity from the grid for an integrated energy control system.

3. The system according to claim 2, characterized in that The main control processor is used to execute the target optimization function min C ATC =C IN +C OM +C ES , among which, the operation and maintenance cost of the integrated energy control system is the operation and maintenance cost per unit output power of equipment s in the integrated energy control system, is the unit output power of device s in time period t, t is the number of time periods; T is the length of the unit time period.

4. The system according to claim 2, characterized in that The main control processor is used to execute the target optimization function min C ATC =C IN +C OM +C ES , among which, the grid power purchase cost of the integrated energy control system is C(t) is the time-of-use electricity price in period t; P(t) is the power supply obtained from the main grid in period t.

5. The system according to claim 1, characterized in that The system includes a control instruction module, an automatic control module and a manual control module; The control instruction module is used to send a direct control instruction to the automatic control module and / or send an indirect control notification to the manual control module according to the control strategy; The automatic control module is used to directly control the automatic control device according to the direct control instruction; The manual control module is used to indirectly control the manual control device through user instructions according to the indirect control notification.

6. The system according to claim 1, characterized in that The main control processor is used to execute a first preset constraint condition for constraining the target optimization function, wherein the first preset constraint condition includes a total power balance constraint, an AC / DC converter efficiency constraint, a DC bus total load constraint, and a load fluctuation constraint.

7. The system according to claim 1, characterized in that The main control processor is used to execute a second preset constraint condition for constraining the target optimization function, wherein the second preset constraint condition includes a storage battery discharge power constraint, a storage battery power state constraint, and a storage battery daily power accumulation constraint.

8. The system according to claim 1, characterized in that The main control processor is used to execute a third preset constraint condition for constraining the target optimization function, wherein the third preset constraint condition includes an ice storage device constraint and a water storage device constraint.

9. The system according to claim 1, characterized in that The system includes a data acquisition module, a memory and a display module; The data acquisition module is used to collect historical operation data of the integrated energy control system; The memory is used to store the historical operation data collected by the data collection module; The display module is used to visualize the historical operation data stored in the memory.

10. A comprehensive energy control method, characterized in that: The method is implemented based on the system according to any one of claims 1 to 9, and the method comprises: Input the historical operation data of the integrated energy control system into the main control processor; According to the historical operation data, a control strategy is generated through the objective optimization function under the preset constraints, wherein the control strategy is used to indicate the energy allocation of the integrated energy control system.

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