Energy comprehensive management and control method and system

Abstract

The invention relates to the technical field of energy management and control, in particular to an energy comprehensive management and control method and system. According to the scheme, data and control interfaces of electric power, thermal power and cold air are integrated on a comprehensive energy system; the utilization of electric power, thermal power and cold air energy is optimized by taking the lowest operation cost as a target; designing an objective function of the multi-agent game function, and performing multi-objective conjoint analysis on the basis of the objective function to form a game and benefit coordination mechanism; setting a constraint function, and searching an optimal scheme for decisions satisfying the constraint function by using a game and benefit coordination mechanism; energy transfer channels between different devices are opened according to the optimal scheme; and updating and optimizing a coordination mechanism among the energy sources. According to the scheme, various energy data are monitored and analyzed in real time, market changes can be quickly responded, energy distribution is optimized, and waste is reduced. And integration and application of renewable energy sources are promoted.

Description

Technical Field

[0001] The present invention relates to the field of energy management and control technology, and more specifically, to an energy comprehensive management and control method and system. Background Art

[0002] Research in the field of energy management is dedicated to developing and optimizing a comprehensive management and control method and system, aiming to monitor and manage the production, distribution and use of energy in an efficient and intelligent way. This management and control method can not only improve energy efficiency and reduce waste, but also promote the integration and application of renewable energy and reduce environmental pollution. It is of great significance to achieve sustainable development, ensure energy security and respond to climate change.

[0003] Prior to the technology of the present invention, the existing energy comprehensive management and control methods mainly adopted centralized or distributed management modes to achieve effective use of energy by monitoring and controlling the production, transmission and consumption of energy. These methods usually rely on traditional energy management systems, such as smart grids and energy management systems (EMS), as well as some optimization algorithms to improve energy utilization efficiency and reduce operating costs. The difficulties and key points of the technology mainly include the following aspects: Cooperative management of multi-energy flow systems: Different forms of energy systems (such as electricity, heat, cold, gas, etc.) have different physical properties and operating laws. How to achieve effective collaborative management and optimal scheduling of these heterogeneous energy flow systems is a major challenge. Real-time and reliability requirements: The online calculation of large-scale integrated energy systems at the city level needs to meet the requirements of high real-time and high reliability, which puts higher requirements on the computing power and algorithm efficiency of the energy management system. Intelligent decision support: Traditional passive digital monitoring cannot provide sufficient analytical decision-making assistance, and it is necessary to develop active intelligent control technology to achieve intelligent analysis and decision-making of electricity, heat, cold and gas in real-time operation. Multi-agent game and interest coordination: As the scale of entities involved in decision-making in the energy Internet increases dramatically, there is a mutual game characteristic among the decision-making entities. How to coordinate the decision-making entities in the energy Internet to balance and optimize the interests of all parties concerned is an urgent problem to be solved. Summary of the invention

[0004] In view of the above problems, the present invention proposes an energy comprehensive management and control method and system, which can quickly respond to market changes, optimize energy distribution, reduce waste, and promote the integration and application of renewable energy by real-time monitoring and analysis of various energy data.

[0005] According to a first aspect of an embodiment of the present invention, a comprehensive energy management and control method is provided.

[0006] In one or more embodiments, preferably, the energy comprehensive management and control method includes: Data and control interfaces for integrated power, heat and cooling systems; Optimize the use of electricity, heat and cooling energy with the goal of minimizing operating costs; Design the objective function of the multi-agent game function, conduct multi-objective joint analysis based on the objective function, and form a game and interest coordination mechanism; Set constraint functions and use game theory and interest coordination mechanisms to find the optimal solution for decisions that meet the constraint functions; Open the energy transfer channel between different devices according to the optimal solution; Update and optimize the coordination mechanism between various energy sources In one or more embodiments, preferably, the data and control interface for integrating electricity, heat and cooling in the comprehensive energy system specifically includes: Collecting real-time operation data from each system and using the same time sequence, wherein the real-time operation data includes power generation, heating, cooling and load energy consumption; Set up a unified data interface to transmit the real-time operation data to the integrated energy system In one or more embodiments, preferably, the optimizing the utilization of electricity, heat and cooling energy with the goal of minimizing operating costs specifically includes: Analyze the energy consumption data of each system and determine the energy consumption ratio of electricity, heat and cooling energy; assessing energy demand during different time periods, including peak and off-peak periods; When it is determined that the peak period is reached, the energy consumption ratios of electricity, heat and cooling energy are ranked, and the energy with the lowest energy consumption ratio is given the highest priority; Calculate linkage shortfall using the first calculation formula; When the linkage deficit is greater than zero, the secondary matching energy number is calculated using the second calculation formula; Determine the secondary energy type according to the secondary matching energy number, and convert the linkage deficit into the secondary energy; When it is determined that it is in the non-peak period, the energy consumption ratios of electricity, heat and cooling energy are sorted, and the energy with the lowest energy consumption ratio is used as the only energy source; The first calculation formula is: L=F-YS Among them, L is the linkage shortage, F is the total energy demand during the peak period, and YS is the energy with the highest priority; The second calculation formula is: I = argmin ((1-XLi) + HNi) Where I is the secondary matching energy number, argmin extracts the function of number i that minimizes (1-XLi)+HNi, XLi is the secondary energy conversion efficiency of number i, and HNi is the energy consumption ratio of number i In one or more embodiments, preferably, the objective function of the multi-agent game function is designed, and a multi-objective joint analysis is performed based on the objective function to form a game and interest coordination mechanism, which specifically includes: Set up a multi-agent game function; Taking the minimum value of the multi-agent game objective function output of the multi-agent game function as a constraint, the additional output of electric energy, thermal energy and cooling energy is adjusted in each area; The multi-agent game function is: , Among them, MB is the objective function value of the multi-agent game, DS is the loss of electric energy, RS is the loss of thermal energy, LS is the loss of cooling energy, DC is the additional output of electric energy, RC is the additional output of thermal energy, and LC is the additional output of cooling energy. In one or more embodiments, preferably, setting a constraint function and finding an optimal solution for a decision satisfying the constraint function using a game and interest coordination mechanism specifically includes: Set the constraint function according to the long-term allowable output range of each device; The current optimal solution is screened according to the setting of the constraint function, the solution that does not meet the constraint function is excluded, and the optimal solution that meets the constraint function is replaced with the current optimal solution until all regions are optimal solutions. In one or more embodiments, preferably, the opening of the energy transfer channel between different devices according to the optimal solution specifically includes: Determine the output of each power generation equipment based on the optimal solution for all areas; For those that need energy conversion and transmission, the corresponding energy conversion channel is opened; After completing the energy conversion, it is transferred to the corresponding area for energy consumption In one or more embodiments, preferably, the updating and optimizing the coordination mechanism among the energy sources specifically includes: Real-time judgment of whether the output of various energy sources in the current integrated energy system is the same as expected; When the difference between the output of some energy sources and the preset given value exceeds the preset range, the output of the corresponding energy is adjusted to a fixed and unadjustable state, and the optimal solution is re-evaluated to complete the solution execution.

[0007] According to a second aspect of an embodiment of the present invention, a comprehensive energy management and control system is provided.

[0008] In one or more embodiments, preferably, the energy integrated management and control system includes: Interface setting module, used to integrate the data and control interfaces of electricity, heat and cooling in the comprehensive energy system; Single energy time-based optimization module, used to optimize the use of electricity, heat and cooling energy with the goal of minimizing operating costs; The regional subject game module is used to design the objective function of the multi-subject game function, conduct multi-objective joint analysis based on the objective function, and form a game and interest coordination mechanism; The optimal solution setting module is used to set the constraint function and use the game and interest coordination mechanism to find the optimal solution for the decision that meets the constraint function; Energy transfer module, used to open energy transfer channels between different devices according to the optimal solution; Update optimization module, used to update and optimize the coordination mechanism among various energy sources.

[0009] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0010] According to a fourth aspect of an embodiment of the present invention, there is provided an electronic device, comprising a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement any one of the methods described in the first aspect of the embodiment of the present invention.

[0011] The technical solution provided by the embodiments of the present invention may have the following beneficial effects: In the solution of the present invention, big data analysis and artificial intelligence technology are used to conduct intelligent analysis and decision-making on electricity, heat, cooling and gas in real-time operation. This intelligent analysis and decision-making capability can provide active intelligent control functions, optimize energy utilization efficiency, reduce operating costs, and improve the reliability and safety of the energy system.

[0012] In the solution of the present invention, the data and control interfaces of various energy systems can be integrated, and the coordinated management and optimized scheduling of multiple energy flow systems can be realized through efficient algorithm support. This integration and optimization capability can significantly improve energy utilization efficiency, reduce operating costs, and promote the integration and application of renewable energy.

[0013] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0014] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 It is a flow chart of a comprehensive energy management and control method according to an embodiment of the present invention.

[0017] Figure 2 It is a flow chart of the data and control interface for integrating electricity, heat and cooling in an integrated energy system in an integrated energy management and control method according to an embodiment of the present invention.

[0018] Figure 3 It is a flow chart of optimizing the utilization of electricity, heat and cooling energy with the goal of minimizing operating costs in an energy comprehensive management and control method in one embodiment of the present invention.

[0019] Figure 4 It is an objective function for designing a multi-agent game function in an energy comprehensive management and control method in one embodiment of the present invention. A multi-objective joint analysis is performed based on the objective function to form a flow chart of a game and interest coordination mechanism.

[0020] Figure 5 It is a flowchart of setting a constraint function in an energy comprehensive management and control method in one embodiment of the present invention, and finding the optimal solution for the decision satisfying the constraint function by using game and interest coordination mechanism.

[0021] Figure 6 It is a flow chart of opening energy transfer channels between different devices according to the optimal solution in an energy comprehensive management and control method in one embodiment of the present invention.

[0022] Figure 7 It is a flow chart of updating and optimizing the coordination mechanism among various energy sources in a comprehensive energy management and control method according to an embodiment of the present invention.

[0023] Figure 8It is a structural diagram of an energy comprehensive management and control system according to an embodiment of the present invention.

[0024] Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. DETAILED DESCRIPTION

[0025] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0027] Research in the field of energy management is dedicated to developing and optimizing a comprehensive management and control method and system, aiming to monitor and manage the production, distribution and use of energy in an efficient and intelligent way. This management and control method can not only improve energy efficiency and reduce waste, but also promote the integration and application of renewable energy and reduce environmental pollution. It is of great significance to achieve sustainable development, ensure energy security and respond to climate change.

[0028] Prior to the technology of the present invention, the existing energy comprehensive management and control methods mainly adopted centralized or distributed management modes to achieve effective use of energy by monitoring and controlling the production, transmission and consumption of energy. These methods usually rely on traditional energy management systems, such as smart grids and energy management systems (EMS), as well as some optimization algorithms to improve energy utilization efficiency and reduce operating costs. The difficulties and key points of the technology mainly include the following aspects: Cooperative management of multi-energy flow systems: Different forms of energy systems (such as electricity, heat, cold, gas, etc.) have different physical properties and operating laws. How to achieve effective collaborative management and optimal scheduling of these heterogeneous energy flow systems is a major challenge. Real-time and reliability requirements: The online calculation of large-scale integrated energy systems at the city level needs to meet the requirements of high real-time and high reliability, which puts higher requirements on the computing power and algorithm efficiency of the energy management system. Intelligent decision support: Traditional passive digital monitoring cannot provide sufficient analytical decision-making assistance, and it is necessary to develop active intelligent control technology to achieve intelligent analysis and decision-making of electricity, heat, cold and gas in real-time operation. Multi-agent game and interest coordination: As the scale of entities involved in decision-making in the energy Internet increases dramatically, there is a mutual game characteristic among the decision-making entities. How to coordinate the decision-making entities in the energy Internet to balance and optimize the interests of all parties concerned is an urgent problem to be solved.

[0029] In the embodiment of the present invention, a comprehensive energy management and control method and system are provided. The solution can quickly respond to market changes, optimize energy distribution, reduce waste, and promote the integration and application of renewable energy by real-time monitoring and analysis of various energy data.

[0030] According to a first aspect of an embodiment of the present invention, a comprehensive energy management and control method is provided.

[0031] Figure 1 It is a flow chart of a comprehensive energy management and control method according to an embodiment of the present invention.

[0032] In one or more embodiments, preferably, the energy comprehensive management and control method includes: S101, data and control interface for integrated power, heat and cooling in the integrated energy system; S102. Optimize the use of electricity, heat and cooling energy with the goal of minimizing operating costs; S103, designing an objective function of a multi-agent game function, and performing a multi-objective joint analysis based on the objective function to form a game and interest coordination mechanism; S104, setting a constraint function, and using game theory and interest coordination mechanisms to find the optimal solution for decisions that meet the constraint function; S105, opening energy transfer channels between different devices according to the optimal solution; S106. Update and optimize the coordination mechanism among various energy sources.

[0033] In the embodiment of the present invention, the fairness and rationality of the multi-agent game and the interest coordination mechanism are combined. The mechanism balances and optimizes the interests of various decision-making entities in the energy Internet by formulating reasonable policies and rules. This fairness and rationality can promote the active participation of all parties and jointly promote the sustainable development of the energy system.

[0034] Figure 2 It is a flow chart of the data and control interface for integrating electricity, heat and cooling in an integrated energy system in an integrated energy management and control method according to an embodiment of the present invention.

[0035] like Figure 2 As shown, in one or more embodiments, preferably, the data and control interface for integrating electricity, heat and cooling in the comprehensive energy system specifically includes: S201, collecting real-time operation data from each system and using the same time sequence, wherein the real-time operation data includes power generation, heating capacity, cooling capacity and load energy consumption; S202, setting a unified data interface to transmit the real-time operation data to the integrated energy system.

[0036] In the embodiment of the present invention, data integration and standardization: First, the data of the power, thermal and cooling systems need to be integrated. This includes collecting real-time operating data from each system, such as power generation, heating / cooling, energy consumption, etc. At the same time, in order to ensure that data between different systems can be interoperable, it is necessary to formulate unified data standards and formats. These standards should cover all aspects of data collection, transmission, storage and processing to ensure data consistency and reliability. Through data integration and standardization, a comprehensive, accurate and real-time energy data platform can be built to provide strong support for subsequent energy management and optimization. Control interface design and implementation: On the basis of data integration, a unified control interface needs to be designed and implemented. These interfaces should be able to receive control instructions from the energy management system and convert them into operations that can be executed by each system. For example, for the power system, the interface can control the start and stop of the generator, load distribution, etc.; for the thermal system, the interface can adjust the heating temperature, flow, etc.; for the cooling system, the interface can control the operation mode, wind speed, etc. of the refrigeration equipment. Through the design and implementation of the control interface, centralized control and management of each system can be achieved, and energy utilization efficiency and management level can be improved. System integration and testing: After completing the data integration and control interface design, the various systems need to be integrated and fully tested. During the integration process, it is necessary to ensure that the data and control instructions between the various systems can be correctly transmitted and executed. During the testing process, it is necessary to simulate various operating scenarios to verify the reliability and stability of the system. At the same time, it is also necessary to evaluate the performance of the system to ensure that it can meet the actual operating requirements. Through system integration and testing, potential problems and defects can be discovered and resolved to ensure the smooth operation and long-term stability of the system.

[0037] Figure 3 It is a flow chart of optimizing the utilization of electricity, heat and cooling energy with the goal of minimizing operating costs in an energy comprehensive management and control method in one embodiment of the present invention.

[0038] like Figure 3 As shown, in one or more embodiments, preferably, the optimization of the utilization of electricity, heat and cooling energy with the goal of minimizing operating costs specifically includes: S301, analyzing the energy consumption data of each system to determine the energy consumption ratio of electricity, heat and cooling energy; S302, evaluating energy demand in different time periods, where the time periods include peak time periods and non-peak time periods; S303, when it is determined that the peak period is reached, the energy consumption ratios of electricity, heat and cooling energy are sorted, and the energy with the lowest energy consumption ratio is given the highest priority; S304, calculating the linkage shortage using the first calculation formula; S305, when the linkage shortage is greater than zero, using the second calculation formula to calculate the secondary matching energy number; S306, determining the secondary energy type according to the secondary matching energy number, and converting the linkage deficit into secondary energy; S307, when it is determined that it is in the non-peak period, sorting the energy consumption ratios of electricity, heat and cooling energy, and using the energy with the lowest energy consumption ratio as the only energy to be used; The first calculation formula is: L=F-YS Among them, L is the linkage shortage, F is the total energy demand during the peak period, and YS is the energy with the highest priority; The second calculation formula is: I = argmin ((1-XLi) + HNi) Among them, I is the secondary matching energy number, argmin extracts the function of number i that minimizes (1-XLi)+HNi, XLi is the secondary energy conversion efficiency of number i, and HNi is the energy consumption proportion of number i.

[0039] In an embodiment of the present invention, first, the energy consumption data of each system is analyzed to determine the energy consumption ratio of electricity, heat and cooling energy. For example, through historical data analysis, it is found that in a certain time period, the energy consumption of the power system accounts for the highest proportion, reaching 60%, while the energy consumption of the heat system and the cooling system accounts for 30% and 10% respectively. Secondly, the energy demand of different time periods is evaluated, and the time period includes peak and non-peak periods. For example, according to historical data and weather forecasts, tomorrow morning 8 to 12 o'clock is the peak period of electricity consumption, afternoon 2 to 5 o'clock is the peak period of heat consumption, and evening 7 to 10 o'clock is the peak period of cold consumption. Then, when it is judged that it is in the peak period, the energy consumption ratio of electricity, heat and cooling energy is sorted, and the energy consumption ratio with the lowest energy consumption ratio is set as the highest priority. For example, during the peak period of electricity consumption, the energy consumption ratio of the power system is the highest, so it is set to the highest priority; during the peak period of heat consumption, the energy consumption ratio of the heat system is the highest, so it is set to the highest priority; during the peak period of cold consumption, the energy consumption ratio of the cooling system is the highest, so it is set to the highest priority. Then, the linkage shortage is calculated using the first calculation formula. For example, during the peak period of electricity consumption, the total energy demand is 1000 MWh, while the supply of the power system is 800 MWh, then the linkage deficit L=1000-800=200 MWh. Then, the secondary matching energy number is calculated using the second calculation formula according to the linkage. For example, suppose there are three secondary energy sources numbered 1, 2, and 3 to choose from, and their conversion efficiencies are 90%, 85%, and 80%, respectively, and their energy consumption accounts for 50%, 40%, and 30%, respectively. Then the secondary matching energy number I=argmin((1-XLi)+HNi)=argmin((1-0.9)+0.5, (1-0.85)+0.4, (1-0.8)+0.3)=argmin(0.6, 0.55, 0.5)=1. Therefore, the secondary energy numbered 1 is selected as the supplementary source of the linkage deficit. Finally, the secondary energy type is determined according to the secondary matching energy number, and the linkage deficit is converted into secondary energy. For example, if the secondary energy source numbered 1 (such as solar power generation) is selected, the linkage deficit of 200 MWh will be converted into solar power generation.

[0040] Figure 4 It is an objective function for designing a multi-agent game function in an energy comprehensive management and control method in one embodiment of the present invention. A multi-objective joint analysis is performed based on the objective function to form a flow chart of a game and interest coordination mechanism.

[0041] like Figure 4 As shown, in one or more embodiments, preferably, the objective function of the multi-agent game function is designed, and a multi-objective joint analysis is performed based on the objective function to form a game and interest coordination mechanism, which specifically includes: S401, setting a multi-agent game function; S402, adjusting the additional output of electric energy, thermal energy and cooling energy in each area with the output of the multi-agent game function and the multi-agent game objective function value being the minimum as a constraint; The multi-agent game function is: , Among them, MB is the objective function value of the multi-agent game, DS is the loss of electric energy, RS is the loss of thermal energy, LS is the loss of cooling energy, DC is the additional output of electric energy, RC is the additional output of thermal energy, and LC is the additional output of cooling energy.

[0042] In an embodiment of the present invention, first, the objective function of the multi-agent game is designed. In this embodiment, the multi-agent game objective function is defined as MB=k1×(DS+RS+LS)+k2×(DC+RC+LC), where k1 and k2 are weight coefficients and satisfy the condition of k1+k2=1. Here, DS, RS and LS represent the losses of electric energy, thermal energy and cooling energy, respectively, while DC, RC and LC represent the additional output of these three energy sources, respectively. The goal of this function is to minimize the total energy loss and additional output by adjusting the values ​​of k1 and k2. Secondly, the additional output of electric energy, thermal energy and cooling energy is adjusted in each area with the minimum value of the multi-agent game objective function as a constraint. For example, if the loss of electric energy is found to be high in a certain area, the loss can be reduced by increasing the additional output of electric energy in the area; similarly, if the loss of thermal or cooling energy is high, the loss can also be reduced by increasing the corresponding additional output. This adjustment is based on real-time data to ensure that the optimal energy allocation can be achieved in different time periods. Finally, the constraint function is set according to the law, and the optimal solution is found by using the Nash equilibrium solution algorithm based on game theory. In this embodiment, heuristic algorithms such as genetic algorithm and particle swarm optimization can be used to solve this multi-objective optimization problem. These algorithms can find the solution that minimizes the value of the multi-agent game objective function under the premise of satisfying all constraints.

[0043] Figure 5 It is a flowchart of setting a constraint function in an energy comprehensive management and control method in one embodiment of the present invention, and finding the optimal solution for the decision satisfying the constraint function by using game and interest coordination mechanism.

[0044] like Figure 5 As shown, in one or more embodiments, preferably, setting a constraint function and finding an optimal solution for a decision satisfying the constraint function by using a game and interest coordination mechanism specifically includes: S501, setting a constraint function according to the long-term allowable output range of each device; S502: Screen the current optimal solution according to the setting of the constraint function, exclude the solution that does not satisfy the constraint function, and replace the optimal solution that satisfies the constraint function with the current optimal solution until all regions are optimal solutions.

[0045] In an embodiment of the present invention, first, a constraint function is set. In this embodiment, the constraint function is set based on the long-term allowable output range of each device. This means that any decision or adjustment plan must ensure that the maximum output limit of the device is not exceeded to avoid overloading or damage to the device. For example, if the rated power of a generator is 500 megawatts, the actual output power of the generator cannot exceed this value under any circumstances. Secondly, the game and interest coordination mechanism is used to find the optimal solution for the decision that meets the constraint function. In this step, the current optimal solution needs to be screened according to the setting of the constraint function first, and the solution that does not meet the constraint function is excluded. Then, the optimal solution that meets the constraint function is replaced with the current optimal solution. This process needs to be repeated in all involved areas until all areas are optimal solutions. Finally, the game and interest coordination mechanism is updated. After each iteration, the game model and interest coordination mechanism need to be updated according to the latest data and information. This may involve adjusting weight coefficients, changing strategy selection, etc. In this way, it can be ensured that the system can always adapt to changing environmental conditions and needs.

[0046] Figure 6 It is a flow chart of opening energy transfer channels between different devices according to the optimal solution in an energy comprehensive management and control method in one embodiment of the present invention.

[0047] like Figure 6 As shown, in one or more embodiments, preferably, the opening of the energy transfer channel between different devices according to the optimal solution specifically includes: S601. Determine the output of each power generation equipment according to the optimal solution of all regions; S602, for energy conversion and transmission that needs to be performed, opening the corresponding energy conversion channel; S603: After completing the energy conversion, transfer it to the corresponding area for energy consumption.

[0048] In an embodiment of the present invention, first, the output of each power generation device is determined according to the optimal solution of all regions. In this step, the system adjusts the output power of each power generation device according to the optimal solution calculated previously. For example, if the optimal solution of a certain area indicates that the power supply needs to be increased to meet the peak demand, the system will instruct the generator set in the area to increase its output power. Secondly, for those that need energy conversion and transmission, the corresponding energy conversion channel is opened. In this step, if the energy demand of a certain area cannot be directly met by the local power generation equipment, or there is a more efficient way to use energy (such as converting excess thermal energy into electrical energy), the system will start the corresponding energy conversion equipment (such as a cogeneration unit or a heat pump) to convert the energy form, and transmit the converted energy to the required area through a preset channel. Finally, after the energy conversion is completed, it is transferred to the corresponding area for energy consumption. Once the energy is successfully converted and ready for transmission, the system will transfer the energy from the source to the target area through a smart grid or other transmission media. In these areas, the energy will be used for consumption by various end users, such as homes, commercial buildings, and industrial facilities.

[0049] Figure 7 It is a flow chart of updating and optimizing the coordination mechanism among various energy sources in a comprehensive energy management and control method according to an embodiment of the present invention.

[0050] like Figure 7 As shown, in one or more embodiments, preferably, the updating and optimizing the coordination mechanism between the energy sources specifically includes: S701, judging in real time whether the output of various energy sources in the current integrated energy system is the same as expected; S702: When the difference between the output of some energy sources and the preset given value exceeds the preset range, the output of the corresponding energy sources is adjusted to a fixed and unadjustable state, and the optimal solution is re-evaluated to complete the solution execution.

[0051] In an embodiment of the present invention, first, it is determined in real time whether the output of various energy sources in the current integrated energy system is the same as expected. In this step, the system continuously monitors the actual output data of various energy sources such as electricity, heat and cooling, and compares it with the preset target value. For example, if the real-time output power of the power system is lower than the expected value, the system will immediately identify this deviation. Secondly, when the difference between the output of some energy sources and the preset given value exceeds the preset range, the output of the corresponding energy is adjusted to a fixed and unadjustable state, and the optimal solution is re-evaluated to complete the execution of the solution. In this step, if it is found that the actual output of a certain type of energy is significantly different from the expected value, the system will lock the output of this type of energy at a safe and stable level to prevent further deviations. Then, the system will recalculate the optimal solution based on the new constraints and update the output instructions of each device. For example, if the output power of the power system is lower than expected, the system may decide to reduce the power supply of other non-critical loads to ensure the normal operation of important equipment and services. Finally, the coordination mechanism between the energy sources is updated and optimized. After each iteration, the system adjusts its internal model and parameters based on the latest data and information. This may involve modifying weight coefficients, introducing new variables, or adjusting the range of existing variables. In this way, the system can gradually adapt to changing circumstances and demands, thereby improving the efficiency and reliability of the entire integrated energy system.

[0052] According to a second aspect of an embodiment of the present invention, a comprehensive energy management and control system is provided.

[0053] Figure 8 It is a structural diagram of an energy comprehensive management and control system according to an embodiment of the present invention.

[0054] In one or more embodiments, preferably, the energy integrated management and control system includes: Interface setting module 801, used to integrate the data and control interface of electricity, heat and cooling in the comprehensive energy system; The single energy time period optimization module 802 is used to optimize the utilization of electricity, heat and cooling energy with the goal of minimizing operating costs; The regional subject game module 803 is used to design the objective function of the multi-subject game function, and to perform multi-objective joint analysis based on the objective function to form a game and interest coordination mechanism; The optimal solution setting module 804 is used to set the constraint function and use the game and interest coordination mechanism to find the optimal solution for the decision that meets the constraint function; Energy transfer module 805, used to open energy transfer channels between different devices according to the optimal solution; The updating and optimizing module 806 is used to update and optimize the coordination mechanism among various energy sources.

[0055] In the embodiment of the present invention, a system suitable for different structures is realized through a series of modular designs. The system can achieve closed-loop, reliable and efficient execution through collection, analysis and control.

[0056] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0057] According to a fourth aspect of an embodiment of the present invention, an electronic device is provided. Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. Fig. 9 The electronic device shown is a general energy integrated management and control device, which includes a general computer hardware structure, which includes at least a processor 901 and a memory 902. The processor 901 and the memory 902 are connected via a bus 903. The memory 902 is suitable for storing instructions or programs executable by the processor 901. The processor 901 can be an independent microprocessor or a collection of one or more microprocessors. Thus, the processor 901 executes the instructions stored in the memory 902 to execute the method flow of the embodiment of the present invention as described above to realize the processing of data and the control of other devices. The bus 903 connects the above-mentioned multiple components together, and at the same time connects the above-mentioned components to the display controller 904 and the display device and the input / output (I / O) device 905. The input / output (I / O) device 905 can be a mouse, a keyboard, a modem, a network interface, a touch input device, a somatosensory input device, a printer, and other devices known in the art. Typically, the input / output device 905 is connected to the system through an input / output (I / O) controller 906.

[0058] The technical solution provided by the embodiments of the present invention may have the following beneficial effects: In the solution of the present invention, big data analysis and artificial intelligence technology are used to conduct intelligent analysis and decision-making on electricity, heat, cooling and gas in real-time operation. This intelligent analysis and decision-making capability can provide active intelligent control functions, optimize energy utilization efficiency, reduce operating costs, and improve the reliability and safety of the energy system.

[0059] In the solution of the present invention, the data and control interfaces of various energy systems can be integrated, and the coordinated management and optimized scheduling of multiple energy flow systems can be realized through efficient algorithm support. This integration and optimization capability can significantly improve energy utilization efficiency, reduce operating costs, and promote the integration and application of renewable energy.

[0060] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program codes.

[0061] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0062] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0063] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0064] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A comprehensive energy management and control method, characterized in that: The method includes: Data and control interfaces for integrated power, heat and cooling systems; Optimize the use of electricity, heat and cooling energy with the goal of minimizing operating costs; Design the objective function of the multi-agent game function, conduct multi-objective joint analysis based on the objective function, and form a game and interest coordination mechanism; Set constraint functions and use game theory and interest coordination mechanisms to find the optimal solution for decisions that meet the constraint functions; Open the energy transfer channel between different devices according to the optimal solution; Update and optimize the coordination mechanism among various energy sources.

2. The energy comprehensive management and control method according to claim 1, characterized in that: The data and control interface for integrating electricity, heat and cooling in the comprehensive energy system specifically includes: Collecting real-time operation data from each system and using the same time sequence, wherein the real-time operation data includes power generation, heating, cooling and load energy consumption; A unified data interface is provided to transmit the real-time operation data to the integrated energy system.

3. The energy comprehensive management and control method according to claim 1, characterized in that: The optimization of the utilization of electricity, heat and cooling energy with the goal of minimizing operating costs specifically includes: Analyze the energy consumption data of each system and determine the energy consumption ratio of electricity, heat and cooling energy; assessing energy demand during different time periods, including peak and off-peak periods; When it is determined that the peak period is reached, the energy consumption ratios of electricity, heat and cooling energy are ranked, and the energy with the lowest energy consumption ratio is given the highest priority; Calculate linkage shortfall using the first calculation formula; When the linkage deficit is greater than zero, the secondary matching energy number is calculated using the second calculation formula; Determine the secondary energy type according to the secondary matching energy number, and convert the linkage deficit into the secondary energy; When it is determined that it is in the non-peak period, the energy consumption ratios of electricity, heat and cooling energy are sorted, and the energy with the lowest energy consumption ratio is used as the only energy source; The first calculation formula is: L=F-YS Among them, L is the linkage shortage, F is the total energy demand during the peak period, and YS is the energy with the highest priority; The second calculation formula is: I = argmin ((1-XLi) + HNi) Among them, I is the secondary matching energy number, argmin extracts the function of number i that minimizes (1-XLi)+HNi, XLi is the secondary energy conversion efficiency of number i, and HNi is the energy consumption proportion of number i.

4. The energy comprehensive management and control method according to claim 1, characterized in that: The objective function of the multi-agent game function is designed, and a multi-objective joint analysis is performed based on the objective function to form a game and interest coordination mechanism, specifically including: Set up a multi-agent game function; The additional output of electric energy, thermal energy and cooling energy is adjusted in each region with the minimum value of the multi-agent game objective function output of the multi-agent game function as a constraint; The multi-agent game function is: ‘ Among them, MB is the objective function value of the multi-agent game, DS is the loss of electric energy, RS is the loss of thermal energy, LS is the loss of cooling energy, DC is the additional output of electric energy, RC is the additional output of thermal energy, and LC is the additional output of cooling energy.

5. The energy comprehensive management and control method according to claim 1, characterized in that: The setting of constraint functions and finding the optimal solution for the decision satisfying the constraint functions by using game theory and interest coordination mechanism specifically include: Set the constraint function according to the long-term allowable output range of each device; The current optimal solution is screened according to the setting of the constraint function, the solutions that do not satisfy the constraint function are excluded, and the optimal solution that satisfies the constraint function is replaced with the current optimal solution until all areas are optimal solutions.

6. The energy comprehensive management and control method according to claim 1, characterized in that: The step of opening the energy transfer channel between different devices according to the optimal solution specifically includes: Determine the output of each power generation equipment based on the optimal solution for all areas; For those that need energy conversion and transmission, the corresponding energy conversion channel is opened; After the energy conversion is completed, it is transferred to the corresponding area for energy consumption.

7. The energy comprehensive management and control method according to claim 1, characterized in that: The updating and optimizing of the coordination mechanism among various energy sources specifically includes: Real-time judgment of whether the output of various energy sources in the current integrated energy system is the same as expected; When the difference between the output of some energy sources and the preset given value exceeds the preset range, the output of the corresponding energy is adjusted to a fixed and unadjustable state, and the optimal solution is re-evaluated to complete the solution execution.

8. An energy comprehensive management and control system, characterized in that: The system is used to implement the method according to any one of claims 1 to 7, and the system comprises: Interface setting module, used to integrate the data and control interfaces of electricity, heat and cooling in the comprehensive energy system; Single energy time-based optimization module, used to optimize the use of electricity, heat and cooling energy with the goal of minimizing operating costs; The regional subject game module is used to design the objective function of the multi-subject game function, conduct multi-objective joint analysis based on the objective function, and form a game and interest coordination mechanism; The optimal solution setting module is used to set the constraint function and use the game and interest coordination mechanism to find the optimal solution for the decision that meets the constraint function; Energy transfer module, used to open energy transfer channels between different devices according to the optimal solution; Update optimization module, used to update and optimize the coordination mechanism among various energy sources.

9. A computer-readable storage medium storing computer program instructions, characterized in that: The computer program instructions implement the method according to any one of claims 1 to 7 when executed by a processor.

10. An electronic device comprising a memory and a processor, characterized in that: The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method according to any one of claims 1-7.

Images