Park integrated energy system capable of flexibly adjusting load to participate in interaction response of power grid

Abstract

The invention provides a park integrated energy system capable of flexibly adjusting load to participate in power grid interactive response, and relates to the technical field of energy systems, the park integrated energy system comprises a central regulation and control layer, a park equipment layer and a communication response layer, the central regulation and control layer comprises an analysis module, an acquisition system and a calculation output module, the park equipment layer comprises an energy supply system and energy consumption equipment, and the communication response layer is used for being in communication connection with the central regulation and control layer and the park equipment layer; according to the method, the supply load and cost of the park comprehensive energy supply system including cold, heat, electricity, renewable energy sources, demand response and other links are researched and analyzed, the average number of the variable quantities of the power-on load of energy consumption equipment in different production stage demands and different time periods every day is calculated, and the energy consumption of the park comprehensive energy supply system is calculated on the basis of economical efficiency and environmental protection. And different power supplies are adjusted, so that the electrical load and the load demand of the distributed energy characteristics respond to each other, the interactive response potential of flexible adjustment of the load is improved, and the energy consumption cost and the carbon emission of the park are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of energy systems, and particularly to a comprehensive energy system for a park that flexibly adjusts the load to participate in the interactive response of the power grid. Background Art

[0002] Industrial parks are comprehensive energy systems that gather various production capacities and energy-consuming entities. They have large load demands and complex energy consumption structures, and generally have problems such as low energy utilization efficiency and unreasonable energy structures. With the expansion of the production scale in industrial parks, the power supply pressure during the peak load period in the park further increases. Effective peak shaving measures can enhance the power supply reliability within the park. In addition, when the peak load period of the large power grid arrives, if industrial parks can cooperate to participate in the peak shaving of the external power grid, it will be beneficial to the safe and reliable operation of the power grid. Optimizing the interaction of the comprehensive energy system in industrial parks can, on the one hand, tap the demand response potential of each participating entity in the park and enhance the positive interaction between users and the power grid, and on the other hand, provide better comprehensive energy supply services for users;

[0003] Especially in parks with diversified power supply energy, it is very important to study the load demand response based on the park's electricity load and distributed energy characteristics. At the same time, due to the uncertainty of the execution ability of controllable devices in the park, it is easy to affect the flexible adjustment of the power supply load. During the process of energy load adjustment, it is necessary to consider the difference in energy supply changes brought about by equipment uncertainty. In the existing technology, there is a lack of effective flexible control of the energized load in the park and a lack of effective compensation for the uncertainty of the execution ability of controllable devices, making it difficult to balance economy and stability. Therefore, the present invention proposes a comprehensive energy system for a park that flexibly adjusts the load to participate in the interactive response of the power grid to solve the problems existing in the prior art. Summary of the Invention

[0004] In view of the above problems, the present invention proposes a comprehensive energy system for a park that flexibly adjusts the load to participate in the interactive response of the power grid. This comprehensive energy system for a park that flexibly adjusts the load to participate in the interactive response of the power grid enables the load demands of the electricity load and distributed energy characteristics to respond to each other, enhances the potential of the flexible adjustment of the load for interactive response, improves the absorption rate of distributed energy in the park, and reduces the energy consumption cost and carbon emissions of the park.

[0005] To achieve the object of the present invention, the present invention is realized through the following technical solutions: A comprehensive energy system for a park that flexibly adjusts the load to participate in the interactive response of the power grid includes a central control layer, a park equipment layer, and a communication response layer. The central control layer includes an analysis module, a collection system, and a calculation and output module. The park equipment layer includes an energy supply system and energy consumption equipment. The communication response layer is used to communicatively connect the central control layer and the park equipment layer for data transmission;

[0006] The energy supply system includes a cold, heat, electricity, and renewable energy system. The acquisition module is used to acquire the power supply parameters of the energy supply system and the real-time load parameters of the energy-consuming equipment. The analysis module is used to analyze the change amount of the electricity load of the energy-consuming equipment at different time periods of each day, and analyze the power supply load and cost of different energy sources in the energy supply system. The calculation and output module is used to calculate the average change amount of the energized load of the energy-consuming equipment at different time periods of each day under the requirements of different production stages. Based on this average change amount, a parameter with a floating range of 3-5% is assigned up and down as the load flexibility variable. The calculation and output module is also used to adjust different power supply sources based on economy and environmental protection according to the average change amount of each time period of the energy-consuming equipment plus the load flexibility variable, and the cost of different energy output power grids in the energy supply system.

[0007] A further improvement is that: the analysis module includes a statistics module and a retrieval module. The statistics module is used to count the change amount of the electricity load of the energy-consuming equipment at different time periods of each day, and list the average value line chart of the change amount of the electricity load at different time periods of each day in different production stage requirements with different production stage requirements as the unit.

[0008] A further improvement is that: the retrieval module has a built-in search engine, which is used to retrieve the power supply cost and carbon emission of different energy sources. Thus, the power supply efficiency and comprehensive cost are analyzed through the power supply parameters of the energy supply system collected by the acquisition module.

[0009] A further improvement is that: the energy supply system includes primary energy and secondary energy. The primary energy is mainly gas fuel and supplemented by renewable energy. The secondary energy is mainly thermoelectric cooling (value) co-generation distributed at the energy-consuming equipment end and supplemented by other central energy supply systems, realizing energy cascade utilization, and providing support and supplement through the central energy supply system.

[0010] A further improvement is that: the acquisition module has a built-in data packet, and the acquisition module is connected to the central control layer and the park equipment layer through the communication response layer for data transmission. The data packet is used to store the transmitted data and mark the time. The data packet is stored in the terminal server of the control center, providing a record retrieval and query function.

[0011] A further improvement is that: the calculation and output module includes a change amount evaluation module and a total control module. The change amount evaluation module calculates the average change amount of the energized load of the energy-consuming equipment at different time periods of each day under the requirements of different production stages, uses the robust optimization control method to determine the uncertainty set, and based on this uncertainty set, assigns a parameter with a floating range of 3-5% up and down to the average change amount as the load flexibility variable;

[0012] a1 + a1·3% = b1

[0013] a2 + a2·5% = b1

[0014] Among them, a represents the average change amount of the energized load of the energy consumption equipment in a specified time period, and b represents the comprehensive basis variable obtained by adding the load flexibility variable to the average change amount of the energized load of the energy consumption equipment in a specified time period.

[0015] A further improvement lies in that: the master control module is connected to the analysis module. Based on the comprehensive basis variable of each time period of the energy consumption equipment, as well as the power supply efficiency and comprehensive cost of different energies in the power supply energy, and taking economy and environmental protection as the basis, it selects the optimal primary and secondary energy supply sequence and proportion that adapt to the current comprehensive basis variable conditions, outputs the control scheme to the energy supply system, and executes the scheme according to the current time period.

[0016] A further improvement lies in that: the communication response layer includes a distributed data communication system and a data center core bus. The distributed data communication system is the hub center for establishing a network connection with the site, and analyzes, processes, and classifies the data uploaded by the equipment.

[0017] A further improvement lies in that: the data center core bus is the core of the entire platform and is used for all data to pass through. The data center core bus is internally equipped with switching and queuing functions, and shunts different data into different queues according to the service, and supplies the data for the corresponding processing program to retrieve and apply from the list.

[0018] A further improvement lies in that: the protocol of the communication response layer supports: modbus, DL698 / DL645, and the response time of the communication response layer to the scheduling instruction is less than 1 minute, and the single response duration is greater than 1 hour.

[0019] The beneficial effects of the present invention are as follows:

[0020] 1. The present invention studies and analyzes the supply load and cost of the comprehensive energy supply system in the park, including cold, heat, electricity, renewable energy, and demand response, etc. It calculates the average change amount of the energized load of the energy consumption equipment at different time periods of each day under the demand of different production stages, and adjusts different power supply sources based on economy and environmental protection, so that the power consumption load and the load demand of the distributed energy characteristics respond to each other, enhancing the potential for flexible adjustment of load interaction response, improving the distributed energy consumption rate in the park, and reducing the energy consumption cost and carbon emissions in the park.

[0021] 2. The present invention calculates the average change of the power load of energy-consuming equipment in different time periods every day under the requirements of different production stages, and uses the robust optimization control method to determine the uncertainty set. According to this uncertainty set, the average of the change is assigned a parameter with a floating range of 3-5% as a load flexible variable. As a surplus value for energy supply, it takes into account the impact of uncertainty on the flexible load's participation in the interactive response of the power grid, forms a flexible load optimization control strategy, realizes the coordinated optimization control of the flexible load and the park's comprehensive energy system, and improves the economy and stability of the park's comprehensive energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a composition diagram of the present invention. DETAILED DESCRIPTION

[0023] In order to deepen the understanding of the present invention, the present invention will be further described in detail below in conjunction with examples. The examples are only used to explain the present invention and do not constitute a limitation on the protection scope of the present invention.

[0024] Embodiment 1

[0025] according to Figure 1 As shown, this embodiment proposes a park comprehensive energy system that flexibly adjusts loads to participate in the interactive response of the power grid, including a central control layer, a park equipment layer and a communication response layer. The central control layer includes an analysis module, a collection system and a calculation output module. The park equipment layer includes an energy supply system and energy consumption equipment. The communication response layer is used to communicate and connect the central control layer and the park equipment layer for data transmission.

[0026] The energy supply system includes a cold, heat, electricity, and renewable energy system. The acquisition module is used to acquire the power supply parameters of the energy supply system and the real-time load parameters of the energy-consuming equipment. The analysis module is used to analyze the change amount of the electricity load of the energy-consuming equipment at different time periods of each day, and analyze the power supply load and cost of different energy sources in the energy supply system. The calculation and output module is used to calculate the average change amount of the energized load of the energy-consuming equipment at different time periods of each day under the demand of different production stages. Based on this average change amount, parameters with a floating range of 3-5% are given up and down as load flexible variables. And the calculation and output module is used to adjust different power supply sources based on economy and environmental protection according to the average change amount of each time period of the energy-consuming equipment plus the load flexible variable, and the cost of different energy output power grids in the energy supply system. The present invention studies and analyzes the supply load and cost of the comprehensive energy supply system of the park including cold, heat, electricity, renewable energy, and demand response and other links, calculates the average change amount of the energized load of the energy-consuming equipment at different time periods of each day under the demand of different production stages, and adjusts different power supply sources based on economy and environmental protection, so that the power consumption load and the load demand with distributed energy characteristics respond to each other, enhancing the potential of flexible adjustment of load interaction response, improving the absorption rate of distributed energy in the park, and reducing the energy consumption cost and carbon emissions of the park.

[0027] The analysis module includes a statistics module and a retrieval module. The statistics module is used to count the change amount of the electricity load of the energy-consuming equipment at different time periods of each day, and list the average value broken line chart of the change amount of the electricity load at different time periods of each day in different production stage demands, taking the demand of different production stages as the unit, which is convenient for management personnel to conduct statistics and consultation.

[0028] The retrieval module is built with a search engine and is used to retrieve the power supply cost and carbon emission of different energy sources. Thus, the power supply efficiency and comprehensive cost are analyzed through the power supply parameters of the energy supply system collected by the acquisition module. The search framework is deployed using the ElasticSearch+Logstash+Kibana framework, and the ElasticSearch search server is used to complete the distributed multi-user full-text search engine for data management, realizing the log analysis and data visualization platform, which is customized for business needs and assists in the development of business processes.

[0029] The energy supply system includes primary energy and secondary energy. The primary energy is mainly gas fuel supplemented by renewable energy. The secondary energy is mainly distributed cogeneration of heat, electricity and cooling (value) at the end of energy-consuming equipment, supplemented by other central energy supply systems, realizing cascaded utilization of energy, and providing support and supplement through the central energy supply system. It can operate independently or be grid-connected, and is a system that determines the mode and capacity with the maximization of resource and environmental benefits. It systematically integrates and optimizes the various energy demands of users and the resource allocation status, and is a new energy system with demand-responsive design and modular configuration, which is a decentralized energy supply method relative to centralized energy supply.

[0030] The acquisition module has built-in data packets, and the acquisition module is connected to the central control layer and the park equipment layer through the communication response layer for data transmission. The data packets are used to store the transmitted data and mark the time. The data packets are stored in the terminal server of the control center, providing a record retrieval and query function, which is convenient for management personnel to conduct statistical review.

[0031] The calculation and output module includes a change amount evaluation module and a total control module. The change amount evaluation module calculates the average change amount of the energization load of the energy-consuming equipment at different time periods of each day under the demand of different production stages. Using the robust optimization control method, an uncertainty set is determined. According to this uncertainty set, a parameter with a floating range of 3-5% is assigned to the average change amount as a load flexibility variable;

[0032] a1 + a1·3% = b1

[0033] a2 + a2·5% = b1

[0034] Among them, a represents the average change amount of the energization load of the energy-consuming equipment in the specified time period, and b represents the comprehensive basis variable obtained by adding the load flexibility variable to the average change amount of the energization load of the energy-consuming equipment in the specified time period. Robust optimization is also a type of ex-ante analysis method. It is listed separately because robust optimization is a set of methods developed from robust control theory in view of the deficiencies of traditional optimization methods.

[0035] miinnf(x.ξ)

[0036]

[0037] Let \(x\) be the decision vector, \(f(x)\) be the objective function, \(h(x)\) be the constraint function, \(\xi\) be the uncertain parameter, and \(U\) represent the set of uncertain parameters. In this model, if \(U\) is a bounded closed set, the above model becomes an optimization problem that deals with all uncertain parameters within the uncertain set, namely robust optimization. Compared with traditional uncertain optimization methods, robust optimization has the following advantages: Robust optimization fully considers uncertainty during the modeling process and describes variables in the form of a set. Compared with stochastic programming and fuzzy programming, robust optimization does not require the distribution model of uncertain parameters and the fuzzy membership function of uncertain parameters. The constraint conditions of robust optimization are strictly established, that is, as long as the uncertain parameter \(\xi\) belongs to the uncertain set \(u\), the solutions obtained can satisfy the constraint conditions. That is, the optimization model has strong robustness, and the optimal solution is less sensitive to parameter changes. Although robust optimization has advantages that stochastic programming and fuzzy programming do not have, the robust optimization model itself is a semi-infinite optimization problem and is difficult to solve directly. The calculation results of robust optimization are limited by different uncertain sets \(U\).

[0038] The total control module is connected to the analysis module. Based on the comprehensive basis variables of energy-consuming equipment in each time period, as well as the power supply efficiency and comprehensive cost of different energy sources in the power supply energy, and taking economy and environmental protection as the basis, it selects the optimal primary and secondary energy supply sequence and ratio that adapts to the current comprehensive basis variable conditions, outputs the control plan to the energy supply system, and executes the plan according to the current time period. This enables the mutual response between the electricity load and the load demand characteristics of distributed energy, enhances the potential for flexible adjustment of load interaction response, improves the absorption rate of distributed energy in the park, and reduces the energy consumption cost and carbon emissions in the park.

[0039] Embodiment 2

[0040] According to Figure 1 As shown, this embodiment proposes a comprehensive energy system for a park that flexibly adjusts the load to participate in the interactive response of the power grid, including a central control layer, a park equipment layer, and a communication response layer. The central control layer includes an analysis module, a collection system, and a calculation and output module. The park equipment layer includes an energy supply system and energy-consuming equipment. The communication response layer is used to communicatively connect the central control layer and the park equipment layer for data transmission;

[0041] The energy supply system includes a cold, heat, electricity, and renewable energy system. The acquisition module is used to acquire the power supply parameters of the energy supply system and the real-time load parameters of the energy-consuming equipment. The analysis module is used to analyze the variation of the power consumption load of the energy-consuming equipment at different time periods of each day, and analyze the power supply load and cost of different energy sources in the energy supply system. The calculation and output module is used to calculate the average variation of the energized load of the energy-consuming equipment at different time periods of each day under the demand of different production stages. Based on this average variation, a parameter with a floating range of 3-5% is assigned up and down as a load flexibility variable. The calculation and output module is also used to adjust different power supply sources based on the average variation of each time period of the energy-consuming equipment plus the load flexibility variable, and the cost of different energy output power grids in the energy supply system, taking economy and environmental protection as the basis. The present invention studies and analyzes the supply load and cost of the integrated energy supply system of the park, including cold, heat, electricity, renewable energy, and demand response. It calculates the average variation of the energized load of the energy-consuming equipment at different time periods of each day under the demand of different production stages, and adjusts different power supply sources based on economy and environmental protection, enabling the power consumption load and the load demand of the distributed energy characteristics to respond to each other, enhancing the potential for flexible adjustment of load interaction response, improving the consumption rate of distributed energy in the park, and reducing the energy consumption cost and carbon emissions of the park.

[0042] The analysis module includes a statistics module and a retrieval module. The statistics module is used to count the variation of the power consumption load of the energy-consuming equipment at different time periods of each day, and list the average value line chart of the power consumption load variation at different time periods of each day in different production stage demands, taking the demand of different production stages as the unit, which is convenient for management personnel to conduct statistics and review.

[0043] The retrieval module is built with a search engine and is used to retrieve the power supply cost and carbon emissions of different energy sources. Thus, the power supply efficiency and comprehensive cost are analyzed through the power supply parameters of the energy supply system collected by the acquisition module. The search framework is deployed using the ElasticSearch + Logstash + Kibana framework, and the ElasticSearch search server is used to complete the distributed multi-user full-text search engine for data management, realizing the log analysis and data visualization platform, which is customized for business needs and assists in the development of business processes.

[0044] The communication response layer includes a distributed data communication system and a core bus of the data center. The distributed data communication system is a hub center for establishing a network connection with the field, and it parses, processes, and classifies the data uploaded by devices. The core bus of the data center is the core of the entire platform, through which all data passes. The core bus of the data center has switching and queuing functions inside, and different data is shunted into different queues according to services, and the data is supplied to the corresponding processing programs to be retrieved and applied from the list. The protocols supported by the communication response layer are: modbus, DL698 / DL645, and the response time of the communication response layer to scheduling instructions is less than 1 minute, and the duration of a single response is greater than 1 hour. The main technical parameters of the system are: the up and down adjustment capabilities of the controllable load should be not less than 5% of the total load respectively, the response time to scheduling instructions is not greater than 1 minute, and the duration of a single response is not less than 1 hour. The system processing capacity TPS: 20, the number of concurrent users: 200; it adopts a distributed architecture with separation between the front end and the back end; the database: open source databases such as mysql and redis; the protocols supported are: modbus, DL698 / DL645.

[0045] The research and analysis of the comprehensive energy system in the park with flexible adjustable load participating in the grid interaction response includes the supply load and cost of the comprehensive energy supply system in the park, which includes links such as cold, heat, electricity, renewable energy, and demand response. Calculate the average change amount of the energized load of energy-consuming equipment at different production stages and different time periods of each day. Based on economy and environmental protection, adjust different power supply sources so that the power consumption load and the load demand with distributed energy characteristics respond to each other, enhance the potential of flexible adjustable load interaction response, improve the consumption rate of distributed energy in the park, and reduce the energy consumption cost and carbon emissions in the park. And the present invention calculates the average change amount of the energized load of energy-consuming equipment at different production stages and different time periods of each day, uses the robust optimization control method to determine the uncertainty set, and based on this uncertainty set, assigns floating parameters of 3-5% to the average change amount as flexible load variables, as the surplus value of energy supply, taking into account the impact of uncertainty on the flexible adjustable load participating in the grid interaction response, forming a flexible load optimization control strategy, realizing the collaborative optimization control of the flexible adjustable load and the comprehensive energy system in the park, and enhancing the economy and stability of the comprehensive energy system in the park.

[0046] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A comprehensive energy system for a park that flexibly adjusts the load to participate in the interactive response of the power grid, including a central control layer, a park equipment layer, and a communication response layer. It is characterized in that: The central control layer includes an analysis module, a collection system, and a calculation and output module. The park equipment layer includes an energy supply system and energy consumption equipment. The communication response layer is used to communicatively connect the central control layer and the park equipment layer for data transmission. The energy supply system includes cold, heat, electricity, and renewable energy systems. The collection module is used to collect the power supply parameters of the energy supply system and the real-time load parameters of the energy consumption equipment. The analysis module is used to analyze the change amount of the electricity load of the energy consumption equipment at different time periods of each day, and analyze the power supply load and cost of different energy sources in the energy supply system. The calculation and output module is used to calculate the average change amount of the energized load of the energy consumption equipment at different time periods of each day under the demand of different production stages. Based on this average change amount, a parameter with a floating range of 3-5% is given up and down as a flexible load variable. And the calculation and output module is used to adjust different power supply sources based on economy and environmental protection according to the average change amount of each time period of the energy consumption equipment plus the flexible load variable, and the cost of different energy sources output to the power grid in the energy supply system.

2. The comprehensive energy system for a park that flexibly adjusts the load to participate in the interactive response of the power grid according to claim 1. It is characterized in that: The analysis module includes a statistics module and a retrieval module. The statistics module is used to count the change amount of the electricity load of the energy consumption equipment at different time periods of each day, and list the average value line chart of the change amount of the electricity load at different time periods of each day in different production stage demands with different production stage demands as the unit.

3. The comprehensive energy system for a park that flexibly adjusts the load to participate in the interactive response of the power grid according to claim 2. It is characterized in that: The retrieval module is built with a search engine and is used to retrieve the power supply cost and carbon emission of different energy sources. Thus, the power supply efficiency and comprehensive cost are analyzed through the power supply parameters of the energy supply system collected by the collection module.

4. The comprehensive energy system for a park that flexibly adjusts the load to participate in the interactive response of the power grid according to claim 3. It is characterized in that: The energy supply system includes primary energy and secondary energy. The primary energy is mainly gas fuel and supplemented by renewable energy. The secondary energy is mainly distributed thermoelectric cooling (value) co-generation at the energy consumption equipment end and supplemented by other central energy supply systems to achieve energy cascade utilization, and support and supplement are provided through the central energy supply system.

5. The comprehensive energy system for a park that flexibly adjusts the load to participate in the interactive response of the power grid according to claim 4. It is characterized in that: The collection module is built with a data packet, and the collection module is connected to the central control layer and the park equipment layer through the communication response layer for data transmission. The data packet is used to store the transmitted data and mark the time. The data packet is stored in the terminal server of the control center to provide a record retrieval and query function.

6. The comprehensive energy system for a park that flexibly adjusts the load to participate in the interactive response of the power grid according to claim 5. It is characterized in that: The calculation output module includes a change amount evaluation module and a total control module. The change amount evaluation module calculates the average change amount of the energized load of the energy consumption equipment at different time periods of each day under the requirements of different production stages. Using the robust optimization control method, an uncertainty set is determined. According to this uncertainty set, parameters with a floating range of 3-5% are assigned to the average change amount as load flexibility variables. a1 + a1·3% = b1 a2 + a2·5% = b1 Wherein, a represents the average change amount of the energized load of the energy consumption equipment in a specified time period, and b represents the comprehensive basis variable obtained by adding the load flexibility variable to the average change amount of the energized load of the energy consumption equipment in the specified time period.

7. The integrated park energy system for flexibly adjusting the load to participate in the grid interaction response according to claim 6, characterized in that: The total control module accesses the analysis module. Based on the comprehensive basis variable of each time period of the energy consumption equipment, as well as the power supply efficiency and comprehensive cost of different energies in the power supply energy, and taking economy and environmental protection as the basis, it selects the optimal primary and secondary energy supply sequence and ratio that adapt to the current comprehensive basis variable conditions, outputs the control scheme to the energy supply system, and executes the scheme according to the current time period.

8. The integrated park energy system for flexibly adjusting the load to participate in the grid interaction response according to claim 1, characterized in that: The communication response layer includes a distributed data communication system and a data center core bus. The distributed data communication system is a hub center for establishing a network connection with the field, and analyzes, processes, and classifies the data uploaded by the equipment.

9. The integrated park energy system for flexibly adjusting the load to participate in the grid interaction response according to claim 8, characterized in that: The data center core bus is the core of the entire platform and is used for all data to pass through. The data center core bus is internally provided with switching and queuing functions, and shunts different data to different queues according to the service, and supplies the data to the corresponding processing programs to retrieve and apply from the list.

10. The integrated park energy system for flexibly adjusting the load to participate in the grid interaction response according to claim 9, characterized in that: The protocol supported by the communication response layer is: modbus, DL698 / DL645, and the response time of the communication response layer to the dispatching instruction is less than 1 minute, and the single response duration is greater than 1 hour.

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