Power resource regulation and control method, device and equipment based on multi-terminal cooperative communication

Abstract

The invention relates to a power resource regulation and control method, device and equipment based on multi-terminal cooperative communication, the method is applied to a power resource regulation and control system, and the power resource regulation and control system comprises a plurality of terminals integrated with edge computing units; the method comprises the following steps: establishing data transmission among terminals through a multi-hop routing mechanism, so that the transmitted data is skipped and transmitted among the terminals to a target terminal or a master station; under the condition that data transmission among the terminals is successfully established, collecting electric energy quality information and power load state information through a multifunctional sensor of the terminal, and performing load information detection according to the electric energy quality information and the power load state information through an edge calculation unit of the terminal to obtain a load information detection result; and a power resource regulation and control function is realized through a master station software function component of the terminal according to the power quality information and the power load state information. By adopting the method, the efficiency of power resource regulation and control can be improved.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to a method, device, computer equipment, computer-readable storage medium and computer program product for regulating electric power resources based on multi-terminal collaborative communication. Background Art

[0002] With the profound changes in the global energy structure and the widespread application of renewable energy, the power system is facing unprecedented challenges and opportunities. The traditional centralized power generation model is gradually transitioning to a distributed energy system, and the complexity of power demand side management has also increased. Especially for user groups with large power loads and high requirements for power supply stability, that is, dedicated transformer users, dedicated transformer users usually use dedicated transformers to ensure the reliability and quality of power supply. Dedicated transformer users usually include important places such as large industrial enterprises, commercial buildings, and hospitals. Due to the diverse load types and scales of these dedicated transformer users, and the fact that they often integrate a variety of distributed energy equipment such as photovoltaics, energy storage, and charging piles, load management and power supply and demand balance have become one of the core issues that must be solved in modern power systems. The power resource control method in the prior art usually relies on centralized data processing and control logic, but when facing large-scale, widely distributed dedicated transformer users, communication delays and communication failures are prone to occur, making it impossible to efficiently control power resources. Therefore, how to improve the efficiency of power resource control in a complex and changeable power demand environment has become a technical problem that needs to be solved urgently. Summary of the invention

[0003] Based on this, it is necessary to provide a power resource control method, device, computer equipment, computer-readable storage medium and computer program product based on multi-terminal collaborative communication that can improve the efficiency of power resource control in response to the above technical problems.

[0004] In a first aspect, the present application provides a method for regulating power resources based on multi-terminal collaborative communication, which is applied to a power resource regulation system, wherein the power resource regulation system includes a plurality of terminals integrated with edge computing units, and the terminals also integrate multifunctional sensors and master station software functional components; data is transmitted between each of the terminals through a communication network architecture constructed based on an Internet of Things protocol stack; the method includes:

[0005] Establishing data transmission between the terminals through a multi-hop routing mechanism, so that the transmitted data jumps between the multiple terminals to the target terminal or the master station; the target terminal is any terminal in the power resource control system;

[0006] In the case where data transmission between the terminals is successfully established, power quality information and power load status information are collected through the multifunctional sensors of the terminals, and load information detection is performed according to the power quality information and the power load status information through the edge computing unit of the terminals to obtain a load information detection result; the load information detection result includes at least one of a load identification result or a load abnormality detection result;

[0007] The power resource regulation function is implemented according to the power quality information and the power load status information through the main station software functional component of the terminal. The power resource regulation function includes at least one of a load forecasting function, a power quality monitoring function, an adjustable potential analysis function or a flexible regulation function.

[0008] In one of the embodiments, the master station software functional component of the terminal implements the power resource regulation function according to the power quality information and the power load status information, including:

[0009] Acquiring real-time power load data according to the power load status information through the main station software functional component of the terminal, and predicting the adjustable electric energy capacity in the future period according to the historical power load data and the real-time power load data;

[0010] Performing power quality monitoring according to the power quality information through the main station software functional component of the terminal;

[0011] The main station software functional component of the terminal performs load forecasting and flexible regulation according to the power load status information; the flexible regulation includes aggregate peak regulation for dedicated transformer loads, and the dedicated transformer load is the power load of users powered by a dedicated transformer.

[0012] In one embodiment, the communication network architecture adopts an encrypted communication protocol; the method further comprises:

[0013] In the case of successfully establishing data transmission between the terminals, the terminal as the sending end sends multiple data packets to other terminals or the main station as the receiving end; the data packets are configured with unique sequence numbers;

[0014] When the sending end receives a confirmation signal sent by the receiving end, the sending end records the sequence number of the successfully transmitted data packet;

[0015] In the event of data transmission interruption, recording, by the transmitting end, the sequence number of the last data packet that has been successfully transmitted;

[0016] When data transmission is resumed, the sending end continues to send the data packets that were not successfully transmitted to the receiving end starting from the sequence number of the last data packet that was successfully transmitted.

[0017] In one embodiment, the collecting of power quality information and power load status information by the multifunctional sensor of the terminal includes:

[0018] The key electrical parameters are collected by the multifunctional sensor of the terminal as the power quality information and the power load status information; the key electrical parameters include at least one of voltage, current, power factor and harmonics.

[0019] In one embodiment, the method further comprises:

[0020] Receiving an upgrade instruction and an upgrade program package of the master station through the terminal, and upgrading the master station software function of the master station software function component according to the upgrade instruction and the upgrade program package;

[0021] The terminal monitors the running status of the main station software functional component in real time, and generates abnormal diagnosis results of the main station software functional component when the running status is abnormal.

[0022] In one of the embodiments, the power resource control system also includes an intelligent circuit breaker and a manual circuit breaker; the intelligent circuit breaker is a circuit breaker that automatically opens and closes according to the power load status, and the manual circuit breaker is a circuit breaker that is manually opened and closed; the terminal includes a high-end terminal, a medium-end terminal and a low-end terminal; wherein the high-end terminal has an edge-to-edge communication function and works in coordination with the intelligent circuit breaker; the edge-to-edge communication function is a communication function that realizes direct information exchange and collaborative control between adjacent terminals through a self-organizing network protocol stack, and does not pass through the main station for transit; the medium-end terminal works in coordination with the intelligent circuit breaker; the low-end terminal works in coordination with the manual circuit breaker.

[0023] In the second aspect, the present application also provides a power resource control device based on multi-terminal collaborative communication, which is applied to a power resource control system, wherein the power resource control system includes a plurality of terminals integrated with edge computing units, and the terminals also integrate multi-function sensors and master station software functional components; data is transmitted between each of the terminals through a communication network architecture built based on an Internet of Things protocol stack; the device includes:

[0024] A transmission module, used to establish data transmission between the terminals through a multi-hop routing mechanism, so that the transmitted data jumps between the multiple terminals to a target terminal or a master station; the target terminal is any terminal in the power resource control system;

[0025] an edge computing module, configured to collect power quality information and power load status information through the multifunctional sensors of the terminals when data transmission between the terminals is successfully established, and perform load information detection according to the power quality information and the power load status information through the edge computing units of the terminals to obtain load information detection results; the load information detection results include at least one of load identification results and load abnormality detection results;

[0026] A software function module is used to implement a power resource regulation function according to the power quality information and the power load status information through the main station software function component of the terminal, and the power resource regulation function includes at least one of a load forecasting function, a power quality monitoring function, an adjustable potential analysis function or a flexible regulation function.

[0027] In a third aspect, the present application further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0028] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0029] In a fifth aspect, the present application also provides a computer program product, including a computer program, which implements the steps of the above method when executed by a processor.

[0030] The above-mentioned power resource control method, device, computer equipment, computer-readable storage medium and computer program product based on multi-terminal collaborative communication establish data transmission between each terminal through a multi-hop routing mechanism, so that the transmitted data jumps between multiple terminals and is transmitted to the target terminal or the main station; when the data transmission between each terminal is successfully established, the power quality information and the power load status information are collected by the multi-functional sensor of the terminal, and the load information is detected according to the power quality information and the power load status information by the edge computing unit of the terminal to obtain the load information detection result, and the load information detection result includes at least one of the load identification result and the load abnormality detection result; the power resource control function is realized according to the power quality information and the power load status information by the main station software functional component of the terminal, and the power resource control function includes at least one of the load forecasting function, the power quality monitoring function, the adjustable potential analysis function or the flexible control function. By building a communication network architecture based on the Internet of Things protocol stack and utilizing a multi-hop routing mechanism, the reliability and efficiency of data transmission in a complex network environment are ensured, the communication delay and communication failure problems of traditional technologies are solved, and the efficiency of power resource regulation is improved through efficient collaborative communication and data processing of multiple terminals. The real-time monitoring of power quality and power load status by multi-functional sensors and load information detection by edge computing units improve the immediacy of load data processing, realize refined management and rapid response of user loads, and improve the efficiency of power resource regulation. Power resource regulation is carried out by integrating the main station software functional components in the terminal, realizing accurate monitoring and flexible regulation of power loads, thereby improving the efficiency of power resource regulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0032] FIG1 is an application environment diagram of a method for controlling power resources based on multi-terminal cooperative communication in one embodiment;

[0033] FIG2 is a schematic diagram of a flow chart of a method for controlling power resources based on multi-terminal cooperative communication in one embodiment;

[0034] FIG3 is a flow chart of a method for controlling power resources based on multi-terminal cooperative communication in another embodiment;

[0035] FIG4 is a structural block diagram of a power resource control device based on multi-terminal cooperative communication in one embodiment;

[0036] FIG. 5 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0038] The electric resource control method based on multi-terminal cooperative communication provided in the embodiment of the present application can be applied to the application environment shown in FIG1. ​​The electric resource control method based on multi-terminal cooperative communication is applied to an electric resource control system 100, which includes multiple terminals 102 integrated with edge computing units, and the terminals 102 are also integrated with multi-function sensors and master station software functional components; data is transmitted between each terminal 102 through a communication network architecture built based on the Internet of Things protocol stack; the electric resource control system 100 establishes data transmission between each terminal 102 through a multi-hop routing mechanism, so that the transmitted data jumps between multiple terminals 102 and is transmitted to the target terminal or master station; the electric resource control system 100 is configured to establish a data transmission mechanism between each terminal 102 ... In this case, the power quality information and the power load status information are collected by the multifunctional sensor of the terminal 102, and the load information is detected according to the power quality information and the power load status information by the edge computing unit of the terminal 102 to obtain the load information detection result; the load information detection result includes at least one of the load identification result and the load abnormality detection result; the power resource control system 100 realizes the power resource control function according to the power quality information and the power load status information through the main station software functional component of the terminal 102, and the power resource control function includes at least one of the load forecasting function, the power quality monitoring function, the adjustable potential analysis function or the flexible control function.

[0039] The terminal 102 communicates with the server 104 via a network. The data storage system can store data that the server 104 needs to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers.

[0040] The terminal 102 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, etc. The server 104 may be an independent physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server providing cloud computing services.

[0041] Among them, the power resource control system 100 may refer to an intelligent system for monitoring, controlling and optimizing power loads in a power system. The power resource control system 100 collects power quality and load status information in real time by integrating edge computing units and multi-function sensors in the terminal, and transmits data through a network architecture constructed by the Internet of Things communication protocol stack. The power resource control system 100 also has load forecasting, power quality monitoring, adjustable potential analysis and flexible control functions, and can aggregate and peak-load single-point or multi-point dedicated transformer loads.

[0042] The power resource control system 100 includes a plurality of terminals 102, and data is transmitted between each terminal 102 through a communication network architecture constructed based on an Internet of Things protocol stack. Among them, the Internet of Things protocol stack is a set of protocols for communication and data transmission between Internet of Things devices. Internet of Things devices may include sensors, terminals, etc., and can communicate efficiently through a communication network architecture constructed based on the Internet of Things protocol stack. Optionally, the Internet of Things protocol stack may include but is not limited to low-power wide area network protocols such as Message Queuing Telemetry Transport (MQTT), Constrained Application Protocol (CoAP), and Lightweight Machine to Machine (LwM2M). These protocols can be designed for resource-constrained devices and low-bandwidth, high-latency or unreliable networks to ensure that terminals can communicate stably even in remote or poor signal environments.

[0043] The communication network architecture built based on the IoT protocol stack is a communication system built through the IoT protocol stack, which ensures that IoT devices such as terminals can still transmit data efficiently and reliably in low-bandwidth, high-latency or unstable network environments.

[0044] In a specific implementation, the terminal 102 integrates an edge computing unit, a circuit breaker, a communication component module, a data acquisition and processing module, and a master station software functional component.

[0045] The edge computing unit may refer to a unit that processes and computes data close to a data source, which reduces the delay in data transmission and can be used for load identification and abnormality monitoring. The data source may refer to a multifunctional sensor in the terminal 102. The edge computing unit and the multifunctional sensor are integrated in the same terminal 102. When the multifunctional sensor collects data, the edge computing unit can collect and process data in real time due to its proximity to the multifunctional sensor.

[0046] Among them, the circuit breaker can integrate intelligent monitoring and control functions, and can automatically or manually open and close according to the user's load conditions, thereby cutting off the circuit to protect power equipment from overload or short circuit damage.

[0047] Among them, the communication component module is used to support the communication network architecture built based on the Internet of Things protocol stack and the communication network architecture supporting the multi-hop routing mechanism, to ensure the secure transmission of data between the terminals 102 and between the terminals 102 and the main station.

[0048] Among them, the data acquisition and processing module is used to integrate multi-functional sensors, which collect power-related data information, such as voltage, current, power factor, etc., so as to perform real-time power quality monitoring and load data analysis.

[0049] Among them, the master station software functional components are used to connect with the central control software of the master station to perform power resource control operations such as load forecasting, power quality monitoring, adjustable potential analysis, and flexible control.

[0050] The master station may include a server 104 as a central control node, and the master station may be used to receive data sent by each terminal and perform analysis, processing and control tasks. The master station software functional components integrated in the terminal 102 may have the central management and control functions of the master station.

[0051] In a specific implementation, the power resource control objects of the power resource control system may include but are not limited to production equipment, photovoltaic equipment, energy storage equipment, lighting equipment, and air conditioning equipment, etc. The power resource control system may detect load information of the above power resource control objects, and may implement power resource control functions for the above power resource control objects. Optionally, the power resource control system may also include a circuit breaker, and the terminal may control the power resource control object through the circuit breaker. For example, when the terminal detects that the power consumption of the power resource control object is abnormal based on the load data, the circuit may be cut off through the circuit breaker to stop the power resource control object from running.

[0052] In an exemplary embodiment, as shown in FIG2 , a method for controlling power resources based on multi-terminal cooperative communication is provided. The method is applied to the power resource control system in FIG1 as an example for explanation. The power resource control system includes a plurality of terminals integrated with edge computing units, and the terminals are also integrated with multi-function sensors and master station software functional components. Data is transmitted between the terminals through a communication network architecture built based on an Internet of Things protocol stack. The method includes:

[0053] Step S202: establishing data transmission between various terminals through a multi-hop routing mechanism, so that the transmitted data jumps between multiple terminals to be transmitted to a target terminal or a main station.

[0054] The target terminal is any terminal in the power resource control system.

[0055] Among them, the multi-hop routing mechanism can refer to data transmission through multiple intermediate nodes (terminals). Each terminal in the power resource control system can serve as a relay node for data transmission to ensure that the data can jump to the target terminal or main station. Even if some nodes fail, communication can still continue.

[0056] The target terminal is a terminal serving as a data receiving end, which may be other terminals in the electric power resource regulation system or other terminals outside the electric power resource regulation system.

[0057] The master station may include a server as a central control node, which can be used for global coordination, data aggregation, in-depth analysis, etc. Although the terminals in the power resource control system can control power resources themselves, they can still upload key load data to the master station, which can avoid potential risks in the power system by controlling related equipment.

[0058] For example, in an industrial park that includes multiple factories and commercial buildings, all dedicated transformer users have installed terminals in the power resource control system of this solution. If a factory's intelligent terminal detects that the direct communication link with the main station is unstable, it can successfully bypass the fault area through other terminals in the park as relays and continue to send key load data to the main station, ensuring communication continuity. It can be seen that the multi-hop routing mechanism uses the relay capability of each terminal to enable data packets to jump through multiple intermediate nodes until they reach the destination terminal or main station. In this way, even if a node fails, it will not cause the entire network communication to be interrupted, enhancing the robustness of the system.

[0059] In one of the embodiments, the electric power resource control system can also introduce adaptive routing algorithms and dynamic spectrum management technologies based on the communication network architecture built based on the Internet of Things protocol stack, so that the communication network architecture not only supports multi-hop routing, but also can automatically adjust the optimal path according to factors such as network congestion, channel quality, and terminal energy consumption.

[0060] In one of the embodiments, the power resource control system can also adopt software defined network (SDN) and network function virtualization (NFV) technologies to enhance the flexible configuration capability of network resources, so that the network can dynamically allocate bandwidth according to actual communication needs, ensuring that under any network environment or load conditions, the communication between the terminal and the master station and between terminals remains efficient and stable; further, spectrum sensing and cognitive radio technologies are integrated to enable the terminal to intelligently switch between licensed and unlicensed frequency bands, effectively utilize idle spectrum resources, and enhance the network's anti-interference capability and transmission efficiency.

[0061] Step S204, when data transmission between the terminals is successfully established, power quality information and power load status information are collected through the terminal's multi-functional sensor, and load information detection is performed based on the power quality information and power load status information through the terminal's edge computing unit to obtain the load information detection result.

[0062] The load information detection result includes at least one of a load identification result and a load anomaly detection result.

[0063] Among them, the multifunctional sensors may include current sensors, voltage sensors and environmental sensors, which can be used to monitor power quality information (such as voltage fluctuations, harmonic content) and power load status information (such as load current and power factor, etc.) in real time. The power quality information and power load status information can be processed by the edge computing unit.

[0064] The multifunctional sensor and edge computing unit are integrated in the same terminal, so that the terminal can perform edge computing close to the data source. The edge computing unit performs load information detection based on power quality information and power load status information to obtain load information detection results.

[0065] The load information detection may include at least one of load identification or load anomaly detection. Load identification includes identifying different types of power loads and identifying the operating status of each load as a load identification result; load anomaly detection includes monitoring deviations from the normal operating range, such as voltage fluctuations, load overloads or other abnormal phenomena, as a load anomaly detection result.

[0066] Therefore, the terminal can quickly identify load change trends and abnormal situations through edge computing. For example, it can distinguish industrial loads and residential loads through load identification algorithms. Once an abnormality (such as voltage sag, overload) is found, it will immediately trigger an early warning or automatic control, which improves the response speed and decision-making efficiency. For example, a multi-function sensor in a commercial building detects a sudden voltage fluctuation. The edge computing unit immediately recognizes that this is caused by the startup of a large device nearby, quickly reports the abnormal situation to the main station, and adjusts the working status of the air-conditioning system in the building through the built-in algorithm to avoid possible voltage collapse.

[0067] In one of the embodiments, the edge computing unit of the terminal can use deep learning models such as convolutional neural networks (CNN) and recurrent neural networks (RNN) to perform advanced analysis on large amounts of data collected by multifunctional sensors to achieve deeper load feature extraction and abnormal pattern recognition; and continuously train the deep learning model based on historical data so that the deep learning model can predict potential problems such as power quality degradation and performance degradation caused by equipment aging in the future, and intervene or perform preventive maintenance in advance, greatly improving the system's prediction accuracy and response speed to faults; at the same time, the terminal combines the collaborative processing capabilities of edge computing and cloud computing to achieve efficient operation of complex algorithm models in the edge computing unit, reduce data transmission delays, and improve the intelligence level of the overall system.

[0068] Step S206, the main station software functional component of the terminal implements the power resource regulation function according to the power quality information and the power load status information.

[0069] Among them, the power resource regulation function includes at least one of a load forecasting function, a power quality monitoring function, an adjustable potential analysis function or a flexible regulation function.

[0070] Among them, load forecasting can be to predict future electricity demand based on power load status information.

[0071] Among them, power quality monitoring can be based on power quality information (such as voltage fluctuations, harmonics, etc.), real-time monitoring of the stability of power transmission. During the monitoring process, the system can make timely adjustments or early warnings for power quality problems based on data analysis.

[0072] Among them, the adjustable potential analysis can be to obtain real-time power load data based on the power load status information, and predict the adjustable power capacity in the future period based on the historical power load data and the real-time power load data. In the specific implementation, the power resource control system obtains real-time power load data based on the power load status information through the main station software functional component of the terminal, and predicts the adjustable power capacity in the future period based on the historical power load data and the real-time power load data. The power resource control system analyzes the user's power consumption habits and load characteristics based on the historical power load data and the real-time power load data, and identifies the part of the user's load that can be flexibly adjusted (adjustable potential). These adjustable loads can be reduced or postponed during peak power consumption, thereby optimizing the use of power resources.

[0073] Among them, flexible regulation can be based on the real-time load state indicated by the power load state information and the adjustable electric energy capacity in the predicted future period, and flexibly adjust the load demand or electric energy supply. Through the flexible regulation strategy, the power system can reduce the use of non-critical loads or adjust the power consumption time during the peak power consumption period, thereby optimizing the operation of the power system. The integration of the terminal and the main station software functional components means that the terminal not only serves as a data collection point, but also becomes a node for executing the strategy. In the specific implementation, the main station software functional components can perform load forecasting analysis based on historical load data and real-time load data, predict future load change trends, and provide a basis for scheduling decisions. At the same time, the main station software functional components can formulate personalized peak-shaving strategies by analyzing the adjustable potential of special transformer users. For example, during the peak power demand period, the output of distributed energy (such as photovoltaics and energy storage systems) can be adjusted through flexible regulation strategies, or the power consumption period of non-critical loads (such as air conditioners and charging piles) can be adjusted to achieve single-point or multi-point load aggregation peak-shaving, optimize the power grid load curve, and improve the overall efficiency of the power grid.

[0074] For example, during the peak period of electricity consumption in summer, the terminal predicts that there will be a peak in electricity consumption in the afternoon of the next day through the main station software functional component based on the load forecasting model, so it sends a peak-shaving instruction to other terminals in the park one night in advance. During the off-peak period, each terminal automatically dispatches electric vehicle charging piles and some energy storage systems to charge. When the electricity consumption peaks, these energy storage systems and electric vehicles that charge off-peak will reduce charging or release electricity, effectively alleviating the pressure on the power grid.

[0075] In one of the embodiments, the terminal's main station software functional component can provide a decentralized trust mechanism for load forecasting, power quality monitoring, adjustable potential analysis and flexible control functions through blockchain technology; the terminal's main station software functional component utilizes the distributed ledger characteristics of blockchain to ensure the immutability and transparency of data, and each data transaction or control instruction is recorded as an irreversible block, which improves the credibility and security of the data; in addition, through smart contract technology, pre-set control strategies are automatically executed. For example, when the preset load threshold is triggered, the smart contract automatically executes the peak-shaving instruction, reducing human intervention and improving the fairness and efficiency of control. It not only enhances the system's ability to protect data, but also provides technical support for the implementation of power market transactions and incentive mechanisms, and promotes the construction of a trust ecosystem with multi-party participation in the energy Internet.

[0076] In the above-mentioned power resource control method based on multi-terminal collaborative communication, data transmission is established between each terminal through a multi-hop routing mechanism, so that the transmitted data jumps between multiple terminals and is transmitted to the target terminal or the main station; when the data transmission between each terminal is successfully established, the power quality information and the power load status information are collected through the multi-functional sensor of the terminal, and the load information is detected according to the power quality information and the power load status information through the edge computing unit of the terminal to obtain the load information detection result, and the load information detection result includes at least one of the load identification result and the load abnormality detection result; the power resource control function is realized according to the power quality information and the power load status information through the main station software functional component of the terminal, and the power resource control function includes at least one of the load forecasting function, the power quality monitoring function, the adjustable potential analysis function or the flexible control function. By building a communication network architecture based on the Internet of Things protocol stack and utilizing a multi-hop routing mechanism, the reliability and efficiency of data transmission in a complex network environment are ensured, the communication delay and communication failure problems of traditional technologies are solved, and the efficiency of power resource regulation is improved through efficient collaborative communication and data processing of multiple terminals. The real-time monitoring of power quality and power load status by multi-functional sensors and load information detection by edge computing units improve the immediacy of load data processing, realize refined management and rapid response of user loads, and improve the efficiency of power resource regulation. Power resource regulation is carried out by integrating the main station software functional components in the terminal, realizing accurate monitoring and flexible regulation of power loads, thereby improving the efficiency of power resource regulation.

[0077] In another embodiment, the power resource regulation function is implemented according to power quality information and power load status information through the main station software functional component of the terminal, including: obtaining real-time power load data according to the power load status information through the main station software functional component of the terminal, and predicting the adjustable power capacity in the future time period according to the historical power load data and the real-time power load data; performing power quality monitoring according to the power quality information through the main station software functional component of the terminal; performing load forecasting and flexible regulation according to the power load status information through the main station software functional component of the terminal; flexible regulation includes aggregate peak regulation for special transformer loads, and the special transformer load is the power load of users powered by a dedicated transformer.

[0078] Optionally, flexible regulation may include aggregate peak-shaving for dedicated transformer loads. Aggregate peak-shaving for dedicated transformer loads can be to aggregate the power loads of multiple dedicated transformer users and centrally regulate or control them during peak power consumption. Since dedicated transformer loads refer to the power loads of users (such as factories, large buildings, etc.) powered by dedicated transformers, the power loads are large and the power supply stability requirements are high, so aggregate peak-shaving for dedicated transformer loads can reduce the load pressure of the power grid and optimize power distribution. In specific implementation, aggregate peak-shaving for dedicated transformer loads can support aggregate peak-shaving for single-point and multi-point dedicated transformer loads. Aggregate peak-shaving for single-point dedicated transformer loads can refer to a single user (such as a factory or a building) powered by a dedicated transformer. Through the intelligent regulation system, the load demand of the user is reduced or transferred during peak power consumption, and its power consumption is optimized to help alleviate the pressure on the power grid; aggregate peak-shaving for multi-point dedicated transformer loads can refer to the joint regulation of multiple users powered by dedicated transformers. By coordinating load demands among different users, the load distribution is rationalized, and a part of the power load is jointly reduced or transferred during peak power consumption, thereby optimizing the load distribution of the overall power grid.

[0079] In another embodiment, the power resource control system also includes an intelligent circuit breaker and a manual circuit breaker; the intelligent circuit breaker is a circuit breaker that automatically opens and closes according to the power load status, and the manual circuit breaker is a circuit breaker that is manually opened and closed; the terminal includes a high-end terminal, a medium-end terminal and a low-end terminal; among them, the high-end terminal has an edge-to-edge communication function and works in coordination with the intelligent circuit breaker; the edge-to-edge communication function is a communication function that realizes direct information exchange and collaborative control between adjacent terminals through a self-organizing network protocol stack, and does not pass through the main station transit; the medium-end terminal works in coordination with the intelligent circuit breaker; the low-end terminal works in coordination with the manual circuit breaker.

[0080] It can be seen that in addition to the edge computing unit, the high-end terminal can also work with the intelligent circuit breaker and integrate the edge-to-edge communication function, which enables the high-end terminal to not only perform complex computing tasks, such as load forecasting and power quality monitoring, but also directly exchange information and coordinate control with adjacent terminals without the direct participation of the master station, significantly improving the autonomy and response speed of the power resource control system for local power regulation. The medium-end terminal and the low-end terminal work with the intelligent circuit breaker and the manual circuit breaker respectively, and provide different levels of load monitoring and control capabilities according to different configurations to meet the needs of different users.

[0081] It should be noted that the hardware configurations of high-end terminals, medium-end terminals and low-end terminals are the same, but the functions implemented by software are different. For example, high-end terminals can be used for user load prediction, adjustable potential analysis, user load identification, power quality monitoring, flexible regulation, loop inspection, distributed energy management, and edge-to-edge communication between terminals; medium-end terminals can be used for user load identification, power quality monitoring, flexible regulation, and loop inspection; low-end terminals can be used for user power quality monitoring and flexible regulation. It can be seen that the difference between medium-end terminals and low-end terminals lies in the difference in functions. Low-end terminals only have user power quality monitoring and flexible regulation functions, and can only report the power quality of their own locations, and then accept instructions from superiors to flexibly regulate the load; on this basis, medium-end terminals have added user load identification and loop inspection functions. In addition to the functions implemented by the low-end terminal, they can also report the user load type and loop fault conditions at their own locations.

[0082] The terminal can control the power-on status of the power resource control object through the circuit breaker. Among them, the intelligent circuit breaker can refer to the circuit breaker that automatically opens and closes according to the load condition and does not require manual operation and maintenance; the manual circuit breaker can refer to the circuit breaker that must be operated manually. Among them, the intelligent circuit breaker is necessary to realize automatic control, but the cost is also relatively high. The low-end terminal is suitable for users with a low-cost budget. It only realizes basic flexible control functions and has little demand for automatic control, so configuring ordinary circuit breakers can reduce costs.

[0083] In the specific implementation, the layout points of high-end terminals, medium-end terminals and low-end terminals may be related to the complexity of the load in the power consumption area. For example, if a user area has high requirements for flexible regulation and the load equipment is very complex, a high-end terminal needs to be arranged; if an area is not very complex, a medium-end terminal can be used; if an area is very simple and requires low cost, a low-end terminal can be used. For example, a high-end terminal can be installed in a data center, a medium-end terminal can be installed in an office area, and a low-end terminal can be installed in a public area.

[0084] The edge-to-edge communication function is to achieve direct information exchange and collaborative control between adjacent terminals through self-organizing network technology without the need for transfer through the master station. Through self-organizing network technology, terminals can directly establish communication links without going through the master station. The characteristic of this self-organizing network (SON) is that it can automatically discover neighbor nodes and form a network according to the dynamic changes of network topology, so as to maintain effective data exchange and control command transmission between terminals in complex environments or when the communication of the master station is blocked, ensuring the reliability and flexibility of the system.

[0085] Among them, the self-organizing network protocol stack is a set of communication protocols that can automatically establish and maintain network connections by network nodes (terminals). The self-organizing network protocol stack allows each network node to autonomously discover neighboring nodes, dynamically build networks, manage routes, and maintain communication links. The self-organizing network protocol stack enables low-latency, highly reliable direct communication between terminals, enhancing system response speed and flexibility.

[0086] The technical solution of the above-mentioned embodiment can arrange terminals of different levels according to user needs and load complexity, and the power resource control system can flexibly meet the needs of different power consumption areas; the high-end terminal has edge computing and edge-to-edge communication functions, and works in conjunction with the intelligent circuit breaker, and can perform local load forecasting, power quality monitoring and flexible regulation without relying on the main station, thereby improving the autonomy and response efficiency of the power resource control system for local power regulation; by deploying low-end terminals in simple areas, the system can reduce the use of high-cost equipment such as intelligent circuit breakers, meet the needs of low-budget users, and reduce the overall implementation and maintenance costs of the power resource control system; the high-end terminal has stronger computing and communication capabilities, and can perform more complex load forecasting and energy management, while the medium-end terminal and the low-end terminal realize basic power quality monitoring and regulation through simplified functions, ensuring that the loads in different areas are properly managed; by arranging terminals of different levels in different areas, the system functions can be flexibly expanded according to actual needs, and unnecessary operation and maintenance interventions can be reduced, thereby improving the scalability of the system and the overall operation and maintenance efficiency.

[0087] In another embodiment, the communication network architecture adopts an encrypted communication protocol; it also includes: when data transmission between various terminals is successfully established, multiple data packets are sent to other terminals or main stations as receiving ends by the terminal acting as the sending end; the data packets are configured with a unique serial number; when the sending end receives a confirmation signal sent by the receiving end, the serial number of the successfully transmitted data packet is recorded by the sending end; when data transmission is interrupted, the serial number of the last successfully transmitted data packet is recorded by the sending end; when data transmission is resumed, the sending end continues to send unsuccessfully transmitted data packets to the receiving end starting from the serial number of the last successfully transmitted data packet.

[0088] Data transmission between terminals is carried out in the form of multiple data packets. The unique sequence number configured for each data packet can be used to identify the order and uniqueness of each data packet during the transmission process. When the receiving end receives the data packet sent by the sending end, it can send a confirmation signal corresponding to the data packet to the sending end to notify the sending end that the data packet has been successfully transmitted; the sending end can record the sequence number of the successfully transmitted data packet. In the case of data transmission interruption caused by network congestion, network link failure, communication equipment failure, etc., the sending end records the sequence number of the last successfully transmitted data packet; when data transmission is restored, the sending end starts from the sequence number of the last successfully transmitted data packet and continues to send the unsuccessfully transmitted data packets to the receiving end, realizing the disconnection and resuming function.

[0089] The technical solution of the above-mentioned embodiment adopts an encrypted communication protocol based on the communication network architecture built on the Internet of Things protocol stack to ensure the security of data transmission during the data transmission process, and supports the function of resuming transmission after disconnection to improve the reliability and integrity of communication. The adopted encrypted communication protocol ensures the security of data transmission in the Internet of Things environment and effectively prevents the risk of data being stolen or tampered with. At the same time, supporting the function of resuming transmission after disconnection means that even if the communication link is temporarily interrupted, data transmission can automatically continue when the link is restored, reducing data loss, improving the reliability and integrity of communication, and ensuring the accuracy of data and the stability of system operation. Through encryption algorithms and authentication mechanisms, privacy protection is ensured during data transmission, and network self-healing functions are provided to improve fault-tolerant recovery capabilities.

[0090] In another embodiment, power quality information and power load status information are collected through the multifunctional sensor of the terminal, including: collecting key electrical parameters as power quality information and power load status information through the multifunctional sensor of the terminal; the key electrical parameters include at least one of voltage, current, power factor and harmonics.

[0091] The terminal's multifunctional sensors collect key electrical parameters such as voltage, current, power factor and harmonics in real time as power quality information and power load status information. Power quality information may include voltage fluctuations, harmonic content and other information, and power load status information may include load current and power factor and other information, which can achieve non-invasive load identification and power quality assessment. The terminal's edge computing unit can process and analyze power quality information and power load status information in real time, accurately identify different load types, assess power quality, and provide real-time monitoring information for the system, which helps to quickly respond to grid changes and optimize load management.

[0092] Optionally, the main station software functional components include open capacity analysis, which evaluates the adjustable power capacity based on historical power load data and real-time power load data to provide decision support for power dispatching. Among them, historical power load data may include the power consumption records of the power system or users in the past period of time, which can be used to analyze the user's power consumption habits and load change trends; real-time power load data can refer to the power load status at the current moment, which can be obtained based on the load identification results obtained by edge computing; adjustable power capacity can refer to the part of the power load that can be flexibly adjusted in the power grid, usually including loads that do not affect the core business, and can increase or decrease power consumption according to the power supply situation.

[0093] For example, the main station software functional components can predict the adjustable peak capacity in future time periods based on users' electricity usage habits and the real-time status of distributed energy, provide power dispatchers with flexible resource allocation strategies, effectively respond to peak loads, and improve the overall operating efficiency and reliability of the power grid.

[0094] In another embodiment, it also includes: receiving upgrade instructions and upgrade packages of the main station through the terminal, and upgrading the main station software functions of the main station software function components according to the upgrade instructions and upgrade packages; monitoring the operating status of the main station software function components in real time through the terminal, and generating abnormal diagnosis results of the main station software function components when the operating status is abnormal.

[0095] The upgrade instruction may refer to an instruction sent by the master station to the terminal, which is used to trigger the terminal to download and execute the update program of the master station software functional component to upgrade the function or performance. The upgrade program package may refer to a data package containing files and data required for software update, which is received and installed by the terminal and is used to upgrade the function or performance of the master station software functional component.

[0096] The terminal can monitor the key performance indicators such as CPU usage, memory usage, task execution time, etc. in real time, and monitor the running status of the main station software functional components in real time based on these key performance indicators. During the monitoring process, if the running status is detected to be abnormal (such as a significant decrease in running speed, failure to complete tasks on time, abnormal restart, etc.), the terminal can generate corresponding abnormal diagnosis results, which include abnormal types (such as system crashes, excessive resource usage, communication failures, etc.) and possible causes (such as program conflicts, hardware failures, etc.). Based on the diagnosis results, the terminal can automatically try to perform preliminary recovery operations, such as restarting the module or restoring to the last stable version. At the same time, the diagnosis results will be sent to the main station for further analysis and processing. During the upgrade and diagnosis process, the terminal will record all operation logs, including upgrade time, version number, diagnosis details, etc. These logs can be viewed remotely by system administrators for maintenance and troubleshooting; when abnormal recovery fails, the terminal can send a high-level alarm to the main station, indicating that manual intervention is required to ensure the continuous and stable operation of system functions.

[0097] In the technical solution of the above-mentioned embodiment, the terminal can respond to the power grid demand based on the dynamic adjustment strategy, and ensure the continuous improvement and stable operation of the terminal and the main station software functions through remote upgrade and fault diagnosis functions. This system maintenance and optimization function emphasizes the dynamic adjustment strategy and remote management capabilities of the system. The power resource control system can automatically or manually adjust the control strategy according to the actual operating status and needs of the power grid, such as enhancing the functions of the terminal through remote software upgrades, or monitoring the operating status of the terminal and the main station software in real time through the fault diagnosis module, timely discovering and solving faults, ensuring that the system always maintains the best operating state, and improving the maintainability and stability of the system.

[0098] In summary, by building the IoT communication architecture and utilizing the multi-hop routing mechanism, we can ensure reliable and efficient data transmission in complex environments and improve the stability and flexibility of system communications. By integrating multi-functional sensors and edge computing, we can monitor the power quality and load status in real time, and edge computing can achieve rapid load identification and anomaly detection, thereby improving data processing speed and management accuracy. By strengthening security and fault-tolerant mechanisms, using encrypted communications and self-healing networks, we can protect data security, ensure communication integrity, and enhance the security of system operation. By optimizing the main station software functions, integrating load forecasting and capacity analysis, we can provide accurate scheduling decision support, optimize power resource allocation, and improve energy efficiency. Through remote maintenance and upgrades, we can support remote system upgrades and fault diagnosis, reduce maintenance costs, and improve system adaptability and long-term operation advancement.

[0099] In another embodiment, as shown in FIG3 , a method for controlling electric power resources based on cooperative communication of multiple terminals is provided, and the method is applied to the electric power resource control system in FIG1 as an example for explanation. The electric power resource control system includes multiple terminals integrated with edge computing units, and the terminals are also integrated with multi-function sensors and master station software functional components; data is transmitted between the terminals through a communication network architecture built based on an Internet of Things protocol stack; the communication network architecture adopts an encrypted communication protocol; the method includes the following steps:

[0100] Step S302: establishing data transmission between various terminals through a multi-hop routing mechanism, so that the transmitted data jumps between multiple terminals to be transmitted to a target terminal or a main station.

[0101] The target terminal is any terminal in the power resource control system.

[0102] In one of the embodiments, the power resource control system also includes an intelligent circuit breaker and a manual circuit breaker; the intelligent circuit breaker is a circuit breaker that automatically opens and closes according to the power load status, and the manual circuit breaker is a circuit breaker that is manually opened and closed; the terminal includes a high-end terminal, a medium-end terminal and a low-end terminal; among them, the high-end terminal has an edge-to-edge communication function and works in coordination with the intelligent circuit breaker; the edge-to-edge communication function is a communication function that realizes direct information exchange and collaborative control between adjacent terminals through a self-organizing network protocol stack, and does not pass through the main station for transit; the medium-end terminal works in coordination with the intelligent circuit breaker; the low-end terminal works in coordination with the manual circuit breaker.

[0103] In one of the embodiments, it also includes: when data transmission between various terminals is successfully established, multiple data packets are sent to other terminals or a main station as receiving ends by the terminal acting as a sending end; the data packets are configured with a unique sequence number; when the sending end receives a confirmation signal sent by the receiving end, the sequence number of the successfully transmitted data packet is recorded by the sending end; when data transmission is interrupted, the sequence number of the last successfully transmitted data packet is recorded by the sending end; when data transmission is resumed, the sending end continues to send unsuccessfully transmitted data packets to the receiving end starting from the sequence number of the last successfully transmitted data packet.

[0104] Step S304, collect key electrical parameters as power quality information and power load status information through the multifunctional sensor of the terminal, and perform load information detection based on the power quality information and power load status information through the edge computing unit of the terminal to obtain the load information detection result.

[0105] The load information detection result includes at least one of a load identification result and a load anomaly detection result.

[0106] The key electrical parameters include at least one of voltage, current, power factor and harmonics.

[0107] Step S306, the main station software functional component of the terminal implements the power resource regulation function according to the power quality information and the power load status information.

[0108] The power resource regulation function includes at least one of a load forecasting function, a power quality monitoring function, an adjustable potential analysis function or a flexible regulation function.

[0109] In one of the embodiments, the power resource regulation function is implemented according to power quality information and power load status information through the main station software functional component of the terminal, including: obtaining real-time power load data according to the power load status information through the main station software functional component of the terminal, and predicting the adjustable power capacity in the future time period according to the historical power load data and the real-time power load data; performing power quality monitoring according to the power quality information through the main station software functional component of the terminal; performing load forecasting and flexible regulation according to the power load status information through the main station software functional component of the terminal; flexible regulation includes aggregate peak regulation for dedicated transformer loads, and dedicated transformer loads are the power loads of users powered by dedicated transformers.

[0110] Step S308, receiving the upgrade instruction and upgrade program package of the master station through the terminal, and upgrading the master station software function of the master station software function component according to the upgrade instruction and the upgrade program package.

[0111] Step S310, monitoring the running status of the main station software functional component in real time through the terminal, and generating abnormal diagnosis results of the main station software functional component when the running status is abnormal.

[0112] It should be noted that the specific limitations of the above steps can refer to the specific limitations of a method for controlling power resources in multi-terminal collaborative communication described above.

[0113] For example, in actual applications, in the central air-conditioning system of smart buildings, an IoT communication network based on the MQTT protocol is built to achieve reliable connection of all smart control terminals from the basement computer room to the top floor office. Through the multi-hop routing mechanism, data can still be transmitted smoothly even in the event of failure of some network nodes, ensuring the continuity of two-way communication between the master station and the terminal and between terminals, and the communication reliability is increased to 99%, and the data transmission delay is reduced to within 100 milliseconds.

[0114] For example, in actual applications, multifunctional sensors are integrated on each air-conditioning controller (terminal) to monitor key parameters such as voltage, current, temperature, humidity, etc. in real time. Using the edge computing unit of the terminal, the system quickly completes load identification and abnormality detection locally. For example, if abnormal high temperature or current overload is identified, the response time is shortened from 5 minutes of traditional central processing to 1 second, and the accuracy of abnormality identification is increased to 98%.

[0115] For example, in actual applications, the main station software functional components are integrated in the terminal, and load forecasting, power quality monitoring and flexible control strategies are integrated through the main station software functional components. By analyzing historical data, the air-conditioning load for the next 24 hours is predicted with an accuracy rate of 95%, and the air-conditioning output is automatically adjusted accordingly to achieve load balance and save energy consumption by about 10%.

[0116] For example, in actual applications, in buildings, high-end terminals are installed in key areas (such as data centers), equipped with intelligent circuit breakers and edge-to-edge communication functions to achieve rapid response; medium-end terminals are responsible for office areas, and low-end terminals are used in public areas, each with its own responsibilities. Through this hierarchical management, the overall response time is reduced by 20% compared with a single configuration, and the fault isolation capability is improved by 30%.

[0117] For example, in actual applications, high-end terminals on different floors communicate directly through self-organizing network technology to coordinate the distribution of cold and heat sources, reduce the delay of transit through the main station, improve communication efficiency by 30%, and shorten the overall response time of the air-conditioning system to within 3 minutes.

[0118] For example, in actual applications, encrypted communication protocols are used to ensure data security and prevent illegal access, and security is improved to industry standards. The self-healing network ensures that even if a single point of failure occurs, the system can automatically recover within 1 minute, and network stability is improved to 99%.

[0119] For example, in actual applications, multifunctional sensors monitor and analyze power quality in real time, and non-invasively identify different types of air-conditioning loads, such as high-power cooling and low-power consumption modes, with an accuracy rate increased to 95%, providing data support for refined management.

[0120] For example, in actual applications, the main station software functional components evaluate the adjustable power capacity based on real-time load and historical data, optimize the air conditioning scheduling strategy, improve the scheduling efficiency by 5%, and reduce the backup capacity demand by 10%.

[0121] For example, in actual applications, through remote upgrades and fault diagnosis, the system software version is kept up to date, the frequency of on-site maintenance is reduced to once a year, the fault resolution time is shortened from 4 hours to within 1 hour, the maintenance cost is reduced by 20%, and the system's continuous stable operation time is increased to 99%.

[0122] For example, in actual application, the power resource control system of this application is deployed in a large commercial complex, and its central air-conditioning terminals are distributed in various areas, including high-end, medium-end and low-end terminals, which are installed in key, important and general areas respectively to ensure comprehensive coverage. The system realizes efficient and stable multi-hop routing data transmission through the communication network architecture built by the Internet of Things protocol stack (such as MQTT, CoAP), ensuring that data is not lost even in complex building layouts, and the communication delay is less than 50 milliseconds. Integrated multi-functional sensors (such as current, voltage, temperature, and humidity sensors) monitor the power consumption and environmental parameters of the air-conditioning system in real time, and the edge computing unit processes data locally in real time. The abnormal detection response time is shortened from the minute level of the traditional system to the second level, and the accuracy is increased to more than 95%, which improves the real-time and accuracy of data collection and processing. The main station software functional component integrates the load prediction algorithm, which predicts the air-conditioning load demand in the next 24 hours based on historical load data and real-time monitoring information, with an accuracy of 90%, supports dynamic adjustment of the air-conditioning system operation strategy, and achieves an energy efficiency ratio improvement of 15% to 10%, enhancing load prediction and energy efficiency optimization. The system supports single-point and multi-point dedicated load aggregation peak-shaving, and automatically adjusts the load of the air-conditioning system according to the power grid demand, such as reducing the supply of cold air in non-core areas during peak power periods, or using low-peak electricity storage at night to achieve refined power demand-side management, reducing the average daily peak-to-valley difference by 15%, and improving flexible peak-shaving and demand response capabilities. Using encrypted communication and self-healing networks, the data transmission encryption level reaches the AES-256 bit standard, effectively preventing data leakage. The self-healing function shortens the system recovery time to within 3 minutes when encountering local failures, and the system availability is increased to 99%, strengthening system security and fault tolerance; through remote upgrades and fault diagnosis functions, the system software version update cycle is shortened from once every six months to once a month, and the troubleshooting time is reduced from 4 hours to half an hour, the maintenance cost is reduced by 20%, and the equipment life is extended by 20%, which improves the convenience of remote maintenance and system upgrades. The edge-to-edge communication function uses a self-organizing network protocol stack to achieve direct communication between adjacent terminals, reducing the response time from 10 seconds in traditional solutions to less than 2 seconds, improving the system response speed; load identification and anomaly detection based on edge computing can timely detect and adjust unreasonable loads, and improve overall energy efficiency by 7%, improving energy efficiency. The network self-healing function reduces the average fault repair time from the original 1 hour to 15 minutes, reducing the fault recovery time; remote maintenance and fault diagnosis reduce the annual operation and maintenance costs by 30%, while improving operation and maintenance efficiency; in summary, the use of the power resource control system of this application and its application in the central air-conditioning system not only achieves efficient and real-time data collection and processing, but also optimizes energy efficiency through intelligent control, enhances system flexibility and security, and significantly reduces maintenance costs, improving overall operational efficiency and user experience.

[0123] It can be seen that compared with the existing technology, the power resource control method based on multi-terminal collaborative communication constructs a communication network architecture based on the Internet of Things protocol stack and utilizes a multi-hop routing mechanism to ensure the reliability and efficiency of data transmission in a complex network environment, solves the communication bottleneck problem of the traditional system, and combines the application of the self-organizing network protocol stack in high-end terminals to achieve low-latency and high-reliability edge-to-edge communication functions, greatly enhancing the response speed and flexibility of the system, and improving the real-time interaction capability of the system under large amounts of data; integrating multi-functional sensors and edge computing units to monitor power quality and load status in real time, and realizing load identification and anomaly detection through edge computing, which not only improves the immediacy of data processing, but also provides the possibility for non-invasive load management, and realizes refined management and rapid response to the load of dedicated transformer users; through Strengthen communication security and fault-tolerant mechanisms, adopt encryption algorithms and authentication mechanisms to ensure the security of data transmission, and at the same time have the functions of line resumption and network self-healing, which significantly improves the stability of system operation and the integrity of data transmission, effectively resists network security threats, and ensures the reliable operation of the power system; through the optimization of the main station software functional components, integrates open capacity analysis, load forecasting and other functions, based on historical data and real-time load characteristics, provides more accurate decision support for power dispatching, improves the optimal allocation of power resources, helps to achieve supply and demand balance, and improves the level of social energy efficiency; through system maintenance and optimization functions, through remote upgrades and fault diagnosis, it ensures the long-term sustainability and advancement of the system, reduces operation and maintenance costs, extends the service life of equipment, and enhances the system's ability to adapt to changes in grid demand.

[0124] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0125] Based on the same inventive concept, the embodiment of the present application also provides a power resource control device based on multi-terminal cooperative communication for implementing the power resource control method based on multi-terminal cooperative communication involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the power resource control device based on multi-terminal cooperative communication provided below can refer to the limitations of the power resource control method based on multi-terminal cooperative communication above, and will not be repeated here.

[0126] In an exemplary embodiment, as shown in FIG4 , a power resource control device based on multi-terminal cooperative communication is provided, which is applied to a power resource control system, wherein the power resource control system includes a plurality of terminals integrated with edge computing units, and the terminals are also integrated with multi-function sensors and master station software functional components; data is transmitted between the terminals through a communication network architecture built based on an Internet of Things protocol stack; the device includes:

[0127] The transmission module 410 is used to establish data transmission between each of the terminals through a multi-hop routing mechanism so that the transmitted data jumps between multiple terminals to a target terminal or a master station; the target terminal is any terminal in the power resource control system.

[0128] The edge computing module 420 is used to collect power quality information and power load status information through the multi-functional sensors of the terminals when data transmission between the terminals is successfully established, and to perform load information detection based on the power quality information and the power load status information through the edge computing unit of the terminal to obtain a load information detection result; the load information detection result includes at least one of a load identification result and a load abnormality detection result.

[0129] The software function module 430 is used to implement the power resource regulation function according to the power quality information and the power load status information through the main station software function component of the terminal; the power resource regulation function includes at least one of the load forecasting function, the power quality monitoring function, the adjustable potential analysis function or the flexible regulation function.

[0130] In one of the embodiments, the software function module 430 is specifically used to obtain real-time power load data based on power load status information through the main station software function component of the terminal, and predict the adjustable power capacity in the future time period based on the historical power load data and the real-time power load data; perform power quality monitoring based on power quality information through the main station software function component of the terminal; perform load prediction and flexible regulation based on power load status information through the main station software function component of the terminal; flexible regulation includes aggregate peak regulation for special transformer loads, and the special transformer load is the power load of users powered by a dedicated transformer.

[0131] In one of the embodiments, the communication network architecture adopts an encrypted communication protocol; the transmission module 410 is specifically used to send the multiple data packets to other terminals or the main station as receiving ends through the terminal as the sending end when data transmission between each of the terminals is successfully established; the data packet is configured with a unique serial number; when the sending end receives a confirmation signal sent by the receiving end, the serial number of the successfully transmitted data packet is recorded by the sending end; when data transmission is interrupted, the serial number of the last successfully transmitted data packet is recorded by the sending end; when data transmission is resumed, the sending end continues to send unsuccessfully transmitted data packets to the receiving end starting from the serial number of the last successfully transmitted data packet.

[0132] In one of the embodiments, the edge computing module 420 is specifically used to collect key electrical parameters through the multifunctional sensor of the terminal as the power quality information and the power load status information; the key electrical parameters include at least one of voltage, current, power factor, and harmonics.

[0133] In one of the embodiments, the device also includes an upgrade diagnostic module, which is specifically used to receive upgrade instructions and upgrade program packages of the main station through the terminal, and upgrade the main station software functions of the main station software functional components according to the upgrade instructions and the upgrade program packages; monitor the operating status of the main station software functional components in real time through the terminal, and generate abnormal diagnosis results of the main station software functional components when an abnormality occurs in the operating status.

[0134] In one embodiment, the terminal includes a high-profile terminal, a medium-profile terminal and a low-profile terminal; wherein the high-profile terminal includes an intelligent circuit breaker and has an edge-to-edge communication function; the intelligent circuit breaker is a circuit breaker that automatically opens and closes according to the power load status; the edge-to-edge communication function is a communication function that realizes direct information exchange and collaborative control between adjacent terminals through a self-organizing network protocol stack without being transferred through the main station; the medium-profile terminal includes the intelligent circuit breaker; and the low-profile terminal includes a manual circuit breaker.

[0135] Each module in the above-mentioned power resource control device based on multi-terminal cooperative communication can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0136] In an exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be shown in FIG5. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected via a system bus, and the communication interface, the display unit, and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner may be implemented through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a method for regulating power resources based on multi-terminal collaborative communication is implemented. The display unit of the computer device is used to form a visually visible picture, which may be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0137] Those skilled in the art will understand that the structure shown in FIG. 5 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0138] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0139] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0140] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0141] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0142] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0143] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0144] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for controlling power resources based on multi-terminal cooperative communication, characterized in that: Applied to an electric power resource control system, the electric power resource control system includes a plurality of terminals integrated with edge computing units, the terminals also integrate multifunctional sensors and master station software functional components; The terminals transmit data via a communication network architecture built based on an Internet of Things protocol stack; the method comprises: Establishing data transmission between the terminals through a multi-hop routing mechanism, so that the transmitted data jumps between the multiple terminals to the target terminal or the master station; the target terminal is any terminal in the power resource control system; In the case where data transmission between the terminals is successfully established, power quality information and power load status information are collected through the multifunctional sensors of the terminals, and load information detection is performed according to the power quality information and the power load status information through the edge computing unit of the terminals to obtain a load information detection result; the load information detection result includes at least one of a load identification result or a load abnormality detection result; The power resource regulation function is implemented according to the power quality information and the power load status information through the main station software functional component of the terminal. The power resource regulation function includes at least one of a load forecasting function, a power quality monitoring function, an adjustable potential analysis function or a flexible regulation function.

2. The method according to claim 1, characterized in that The master station software functional component of the terminal implements the power resource regulation function according to the power quality information and the power load status information, including: Acquiring real-time power load data according to the power load status information through the main station software functional component of the terminal, and predicting the adjustable electric energy capacity in the future period according to the historical power load data and the real-time power load data; Performing power quality monitoring according to the power quality information through the main station software functional component of the terminal; The main station software functional component of the terminal performs load forecasting and flexible regulation according to the power load status information; the flexible regulation includes aggregate peak regulation for dedicated transformer loads, and the dedicated transformer load is the power load of users powered by a dedicated transformer.

3. The method according to claim 1, characterized in that The communication network architecture adopts an encrypted communication protocol; the method further comprises: In the case of successfully establishing data transmission between the terminals, the terminal as the sending end sends multiple data packets to other terminals or the main station as the receiving end; the data packets are configured with unique sequence numbers; When the sending end receives a confirmation signal sent by the receiving end, the sending end records the sequence number of the successfully transmitted data packet; In the event of data transmission interruption, recording, by the transmitting end, the sequence number of the last data packet that has been successfully transmitted; When data transmission is resumed, the sending end continues to send the data packets that were not successfully transmitted to the receiving end starting from the sequence number of the last data packet that was successfully transmitted.

4. The method according to claim 1, characterized in that: The collecting of power quality information and power load status information by the multifunctional sensor of the terminal includes: The key electrical parameters are collected by the multifunctional sensor of the terminal as the power quality information and the power load status information; the key electrical parameters include at least one of voltage, current, power factor and harmonics.

5. The method according to claim 1, characterized in that The method further comprises: Receiving an upgrade instruction and an upgrade program package of the master station through the terminal, and upgrading the master station software function of the master station software function component according to the upgrade instruction and the upgrade program package; The terminal monitors the running status of the main station software functional component in real time, and generates abnormal diagnosis results of the main station software functional component when the running status is abnormal.

6. The method according to claim 1, characterized in that The power resource control system also includes an intelligent circuit breaker and a manual circuit breaker; the intelligent circuit breaker is a circuit breaker that automatically opens and closes according to the power load status, and the manual circuit breaker is a circuit breaker that is manually opened and closed; the terminals include high-end terminals, medium-end terminals and low-end terminals; wherein the high-end terminals have an edge-to-edge communication function and work in coordination with the intelligent circuit breaker; the edge-to-edge communication function is a communication function that realizes direct information exchange and collaborative control between adjacent terminals through a self-organizing network protocol stack, and does not pass through the master station for transit; the medium-end terminal works in coordination with the intelligent circuit breaker; the low-end terminal works in coordination with the manual circuit breaker.

7. A power resource control device based on multi-terminal cooperative communication, characterized in that: Applied to an electric power resource control system, the electric power resource control system includes a plurality of terminals integrated with edge computing units, the terminals also integrate multifunctional sensors and master station software functional components; Data is transmitted between the terminals through a communication network architecture built based on the Internet of Things protocol stack; the device includes: A transmission module, used to establish data transmission between each of the terminals through a multi-hop routing mechanism, so that the transmitted data jumps between the multiple terminals to a target terminal or a master station; the target terminal is any terminal in the power resource control system; an edge computing module, used to collect power quality information and power load status information through the multifunctional sensors of the terminals when data transmission between the terminals is successfully established, and perform load information detection according to the power quality information and the power load status information through the edge computing unit of the terminal to obtain a load information detection result; the load information detection result includes at least one of a load identification result or a load abnormality detection result; A software function module is used to implement a power resource regulation function according to the power quality information and the power load status information through the main station software function component of the terminal, and the power resource regulation function includes at least one of a load forecasting function, a power quality monitoring function, an adjustable potential analysis function or a flexible regulation function.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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