A half-wavelength controllable tuning method under the background of dual carbon and novel power systems

Abstract

This invention relates to the field of power system technology and discloses a half-wavelength controllable tuning method under the background of dual-carbon and new power systems. The method includes: system assessment and demand analysis, collecting grid information and integrating the demands of dual-carbon and new power systems to determine tuning objectives and key parameters; half-wavelength tuning strategy design, using particle swarm optimization to determine tuning parameters, formulating strategies, and performing simulation optimization; selection and configuration of half-wavelength controllable equipment, evaluating performance indicators to select equipment and rationally configuring, installing, and debugging; system integration and communication network construction, integrating equipment and building a reliable communication network to ensure information transmission; and tuning implementation and monitoring, developing a control system to issue commands, collecting and analyzing data to evaluate performance, and optimizing based on the results. This invention enhances grid stability and adaptability, promotes intelligent development, optimizes resource allocation and structure, ensures safe and sustainable development, and can effectively address the challenges of dual-carbon and new power systems.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a half-wavelength controllable tuning method applicable to dual-carbon and novel power systems. Background Technology

[0002] In the context of dual-carbon and new power systems, the power grid faces numerous new challenges and requirements. With the advancement of dual-carbon goals, the proportion of renewable energy integrated into the grid is continuously increasing. The intermittency and volatility of new energy sources place enormous pressure on the stable operation of the grid. Traditional power system tuning methods are ill-suited to this high proportion of renewable energy integration and cannot effectively cope with frequent changes in renewable energy generation capacity. This can easily lead to grid frequency fluctuations, voltage instability, and other problems, affecting the safe and stable operation of the power grid.

[0003] Meanwhile, existing technologies suffer from low tuning accuracy and inefficiency during power grid tuning. The selection of tuning parameters often lacks precise optimization methods, making it difficult to achieve optimal tuning results. Furthermore, equipment selection and configuration are not scientifically sound, failing to fully meet tuning requirements and neglecting to consider the collaborative effects between equipment and their impact on overall power grid performance. In addition, insufficient reliability and real-time performance of communication networks prevent the accurate and rapid transmission of tuning commands and status information, limiting the timeliness and effectiveness of power grid regulation.

[0004] Furthermore, traditional tuning methods have a low level of intelligence, are complex to operate, and struggle to automatically adjust tuning strategies based on real-time grid conditions. Inadequate grid resource allocation and unreasonable reactive power distribution lead to significant transmission losses, and transmission capacity and resource allocation efficiency need improvement.

[0005] To this end, we propose a half-wavelength controllable tuning method under the background of dual carbon and novel power systems. Summary of the Invention

[0006] In view of the shortcomings of the prior art, the purpose of this invention is to provide a half-wavelength controllable tuning method under the background of dual-carbon and new power systems, so as to overcome the shortcomings of the prior art, realize accurate and efficient half-wavelength tuning, and improve the stability and transmission efficiency of the power grid under the background of dual-carbon and new power systems.

[0007] To achieve the above objectives, the present invention adopts the following technical solution:

[0008] A half-wavelength controllable tuning method under the background of dual carbon and novel power systems includes the following steps:

[0009] S1. System Assessment and Requirements Analysis: Using data collection tools and performance evaluation software, analyze the current status of the power grid's topology, equipment performance, and load characteristics; combining the dual-carbon objectives and the requirements of the new power system, clarify the specific tuning objectives through multi-standard decision analysis; based on the current status analysis and objective setting, determine the key tuning parameters to provide a basis for strategy design.

[0010] S2. Half-wavelength tuning strategy design: Based on the evaluation results of S1, particle swarm optimization (PSO) is applied to find the optimal tuning frequency, phase, and amplitude parameters. Based on the optimized parameters, a tuning strategy including the timing, duration, and method of tuning is formulated. Simulink simulation software is used to simulate the effect of the tuning strategy to ensure its feasibility and effectiveness. Through simulation result feedback, the tuning strategy is continuously iterated and optimized until the expected tuning effect is achieved.

[0011] S3. Selection and configuration of half-wavelength controllable equipment: Evaluate the performance indicators of different equipment, select equipment whose performance meets the requirements of the tuning strategy, configure the equipment according to the tuning strategy and equipment performance, determine the installation location, and carry out on-site installation and commissioning.

[0012] S4 system integration and communication network construction integrates the half-wavelength controllable devices selected in S3 with the existing power grid system to build a reliable communication network to ensure the real-time transmission of tuning commands and status information;

[0013] S5. Tuning Implementation and Monitoring: Develop a tuning command control system to automatically send tuning commands to various devices, collect real-time power grid operation data, and evaluate the performance of the tuned power grid using performance evaluation tools to ensure stability and transmission efficiency.

[0014] Further, S1 includes:

[0015] S11. Data collection and processing: Using data collection tools such as smart meters and sensor networks, collect electrical quantity data such as voltage, current, and power of each node in the power grid, as well as equipment operating status information. The collection time span should cover at least one complete power load cycle. Obtain the topology information of the power grid from the power grid management system (GIS), including line length, line impedance, transformer ratio, node connection relationship, etc., and organize this information into a digital format that can be analyzed.

[0016] S12. Use power system analysis software to process the collected data; calculate various performance indicators of the power grid, including power loss, voltage qualification rate, harmonic content, etc.

[0017] By analyzing load characteristics and performing cluster analysis on historical load data, the load is decomposed into different components to determine the peak and trough periods of the load and the load variation patterns.

[0018] S13. Integrating dual-carbon and new power system demands, analyze the impact of dual-carbon targets on the power grid, combine local energy development plans and carbon emission targets to determine specific targets for increasing the proportion of renewable energy access and analyze the requirements of carbon emission reduction measures on power grid operation; considering the high proportion of new energy access in the new power system, analyze the impact of the intermittency and volatility of new energy on power grid stability, and determine the frequency regulation capability that the tuned power grid should have.

[0019] S14. Determination of key parameters: Based on the current situation analysis and target setting, determine the key parameters related to half-wavelength tuning; key parameters include line parameters and equipment parameters that may affect the tuning effect based on the power grid topology and equipment performance.

[0020] Based on the power grid topology and equipment performance, the inductance and capacitance of the lines, as well as the short-circuit impedance of the transformers, are accurately calculated. These parameters will serve as an important basis for half-wavelength tuning.

[0021] Further, S2 includes:

[0022] S21. Optimize algorithm parameter initialization. For the Particle Swarm Optimization (PSO) algorithm, set the population size and the initial value of the inertia weight. The initial value of the inertia weight is set to 0.9, and the initial value of the inertia weight is updated according to a linear decreasing strategy. The update formula is:

[0023]

[0024] Where, ω max ω represents the inertia weight value at the initial stage of the iteration. min ω represents the inertia weight value in the later stage of the iteration, k represents the current iteration number, and K represents the total number of iterations.

[0025] Determine the initial range of position and velocity for each particle. Each dimension of the position vector corresponds to the tuning frequency, phase, and amplitude, respectively. The initial frequency range is set to [49.5, 50.5] Hz (taking a 50 Hz grid as an example) based on the allowable fluctuation range of the power grid frequency and tuning requirements. The initial phase range is [-15°, 15°], and the initial amplitude range is [-0.95, 1.05] times the rated value. The initial velocity vector range is set empirically to [-0.05, 0.05] times the corresponding position range.

[0026] S22. Definition and Calculation of Fitness Function: The fitness function is defined to evaluate the quality of the tuning parameter combination represented by each particle, taking into account objectives such as power loss, voltage stability, and frequency stability. The formula is as follows:

[0027]

[0028] In the formula, ω1, ω2, and ω3 are weighting coefficients; In the combination of tuning parameters Power loss at the following levels; V represents the voltage amplitude at node j after tuning. ref Reference voltage amplitude; f is the frequency of node j after tuning; ref is the reference frequency; m is the total number of nodes monitoring voltage and frequency;

[0029] For each particle in the population The tuning parameters are substituted into a power system simulation model (such as a power system model in Simulink) for simulation calculations to obtain the corresponding power grid performance indicators, thereby calculating the fitness value.

[0030] S23. Particle Update and Iterative Optimization: Update the velocity and position of each particle according to the update formula of the PSO algorithm.

[0031]

[0032]

[0033] in, Let i be the velocity vector of particle i in the (k+1)th iteration. Let i be the velocity vector of particle i in the k-th iteration. Let be the individual optimal position vector of particle i. The global optimal position vector is defined, and r1 and r2 are random numbers between [0,1]. This represents the position of particle i in the solution space during the k-th iteration; This represents the position of particle i in the solution space at the (k+1)th iteration;

[0034] Check whether the position of the particle exceeds the preset tuning parameter range. If it does, perform boundary processing, which includes restricting the particle position to the boundary or using a bounce strategy.

[0035] Repeat the above process until the preset number of iterations is reached or the convergence condition is met, such as when the global optimal fitness value no longer improves.

[0036] S24. Tuning strategy formulation, including:

[0037] The tuning parameters corresponding to the globally optimal particle are selected as the final tuning parameters.

[0038] The timing of tuning should be determined based on the grid's operating patterns and load characteristics; tuning should be performed one hour before the daily load peak to prepare for high load demand; or tuning should be performed 30 minutes before a significant fluctuation in the forecast of renewable energy power generation to enhance the grid's adaptability to changes in renewable energy.

[0039] The duration of tuning is determined based on the dynamic response characteristics of the power grid and the duration of the tuning effect. The trend of power grid performance under different tuning parameters is analyzed by simulation. If it is found that the power grid performance under a certain set of parameters remains in a good state for a period of time after tuning, then that period of time is set as the duration.

[0040] Choose a tuning method, which can be either centralized or distributed, and formulate corresponding control logic. Centralized tuning requires ensuring the reliability and real-time performance of communication, while distributed tuning requires designing a reasonable local control strategy to avoid conflicts between devices.

[0041] Further, S3 includes:

[0042] S31. Equipment performance evaluation indicators are determined. Based on the requirements of the tuning strategy, the key indicators for evaluating the performance of half-wavelength controllable equipment are determined. For half-wavelength transformers, key indicators include turns ratio adjustment range, short-circuit impedance, and adjustment speed. For half-wavelength capacitors, key indicators include capacitance adjustment range, withstand voltage, and loss tangent. For half-wavelength inductors, key indicators include inductance adjustment range, saturation current, and quality factor.

[0043] S32. Equipment selection and technical parameter comparison: Collect technical information on half-wavelength controllable equipment from different manufacturers on the market, including product manuals, performance test reports, etc., to ensure the completeness and accuracy of the information; conduct detailed comparative analysis of different equipment for each key performance indicator;

[0044] Based on the comparison results, a list of equipment models whose performance meets the requirements of the tuning strategy is selected. The equipment is required to meet or exceed the set requirements in all key indicators and have the best overall performance.

[0045] S33. Equipment performance evaluation indicators are determined. Based on the topology and tuning requirements of the power grid, the installation location of the half-wavelength controllable equipment is determined. The mutual influence and synergistic effect between the equipment are considered, and the equipment is configured reasonably.

[0046] S34. On-site installation and commissioning: Install the half-wavelength controllable equipment on-site in accordance with the equipment installation manual and relevant standards and specifications; strictly control the installation accuracy during the installation process.

[0047] After the equipment is installed, commissioning is carried out. First, individual equipment is commissioned to check whether the functions of the equipment are normal. Then, the system is integrated and commissioned to simulate actual tuning operations, observe the coordination between equipment and the impact on power grid performance, and adjust and optimize any problems found in a timely manner to ensure that the entire system can operate stably and meet the tuning requirements.

[0048] Further, S4 includes:

[0049] S41. Hardware Interface Design and Connection: Detailed analysis of the hardware interface requirements between the half-wavelength controllable device and other devices in the existing power grid system; determination of interface type, communication protocol, and electrical connection method;

[0050] According to the interface design requirements, hardware connections are made; during the connection process, the accuracy and stability of signal transmission are ensured, and problems such as electromagnetic interference are avoided.

[0051] S42. Communication network architecture construction: Select a suitable communication network architecture; For large urban power grids, adopt a hierarchical distributed communication network architecture, with the control center as the core node and each substation as a sub-node, connected by a fiber optic backbone network to form a star topology to ensure the reliability and real-time performance of communication; The backbone network communication rate shall not be less than 100Mbps, the branch network communication rate shall not be less than 10Mbps, and the network latency shall not exceed 10 milliseconds.

[0052] Configure network devices, such as switches, routers, and communication gateways; set parameters such as device IP addresses, subnet masks, and routing rules to ensure correct communication between network devices and accurate and rapid data transmission between the half-wavelength controllable device and other devices in the power grid system; perform performance tests on network devices, including throughput tests and packet loss rate tests (less than 0.1%), to ensure that the devices meet communication requirements.

[0053] S43. Communication Protocol Configuration and Testing: Configure the communication protocol for both parties according to the selected protocol; define communication elements such as Data Object Model (DO), Dataset, and Report Control Block (RCB) to ensure that both parties can understand and parse the data sent by the other party; perform a consistency check on the protocol configuration to ensure the accuracy and completeness of the configuration parameters;

[0054] S44. Implementation of network security protection measures: Considering the security of the power grid system, implement network security protection measures for communication networks; set up firewalls to block unauthorized external access, allowing only authorized IP addresses or devices to communicate with half-wavelength controllable devices, ensuring that firewall rules are set accurately and that the protection success rate reaches 100%;

[0055] Encryption technology is used to encrypt the transmitted data to prevent it from being stolen or tampered with during transmission.

[0056] Regularly scan and update network security vulnerabilities to promptly identify and fix potential security risks and ensure the stable operation of communication networks;

[0057] Further, S5 includes:

[0058] S51. Development of a tuning command control system: Develop a tuning command control system based on a power grid monitoring platform or specialized control system software; the system should have a user-friendly interface, allowing operators to intuitively input tuning parameters or select preset tuning strategies through the interface, and the accuracy of the input parameters should be verified to be 100%.

[0059] Within the system, the functions of generating, encoding, and sending tuning commands are implemented. According to the selected communication protocol, the tuning commands are encapsulated into messages that conform to the protocol format and sent to the corresponding half-wavelength controllable device through the communication network. The command encoding accuracy reaches 100%, and the command transmission success rate reaches 100%.

[0060] Establish a priority mechanism and error handling mechanism for command transmission. In the event of an emergency in the power grid, emergency control commands will be sent first. When command transmission fails, the system can automatically resend the command or issue an alarm message to ensure that the tuning commands can reach the equipment accurately.

[0061] S52. Real-time data acquisition and transmission: Install data acquisition devices in the power grid to collect and tune-related operating data, including electrical quantity data such as voltage, current, power, and frequency, as well as status information of half-wavelength controllable equipment; the sampling frequency of the data acquisition device is set according to the dynamic characteristics of the power grid, such as a sampling frequency of not less than 1000Hz for frequency regulation-related data, and a sampling frequency of not less than 100Hz for voltage, current, and other data.

[0062] The collected data is transmitted to the monitoring center in real time through the communication network; to ensure the real-time performance and accuracy of data transmission, a data verification and retransmission mechanism is adopted to prevent data loss or errors;

[0063] S53. Power Grid Performance Assessment and Analysis: In the monitoring center, performance assessment tools are used to process and analyze the received power grid operation data; various performance indicators are calculated, including power loss, voltage qualification rate, frequency deviation, etc. The formulas are the same as the performance assessment formulas in S1, and the accuracy of the calculation results is within ±1%.

[0064] The performance indicators after tuning are compared with the data before tuning to evaluate the tuning effect; the power loss reduction rate is calculated to determine whether the tuning has achieved the expected energy-saving effect; the voltage qualification rate and frequency deviation are observed to comprehensively and accurately evaluate the tuning effect. The formula for the power loss reduction rate is expressed as:

[0065]

[0066] In the formula, ΔP loss This indicates a reduction in power loss; P loss,b This shows the total power loss in the power grid due to factors such as line resistance and transformer losses before the implementation of half-wavelength tuning measures; P loss,a The actual power loss that occurs in the power grid after the half-wavelength tuning operation is completed;

[0067] S54. Feedback control and optimization adjustment: Based on the performance evaluation results, if it is found that the power grid performance has not met the expected target, such as the power loss is still high or the voltage stability is insufficient, the tuning parameters are adjusted by the tuning command control system, and the tuning command is sent to the half-wavelength controllable device again for optimization adjustment.

[0068] A feedback control loop is established so that the tuning process can be automatically adjusted according to the actual operation of the power grid. For example, when the power grid load changes and causes a voltage drop, the monitoring system automatically detects the voltage deviation and adjusts the parameters of the half-wavelength controllable device according to the preset control strategy to improve the voltage level and achieve dynamic optimization tuning.

[0069] In summary, due to the adoption of the above technical solution, the beneficial technical effects of the invention are as follows:

[0070] Enhancing the stability and adaptability of the power grid, the grid frequency stability is good even with a high proportion of new energy access, ensuring the safe and stable operation of the power grid and effectively avoiding power grid accidents caused by frequency or voltage issues.

[0071] It can quickly adapt to load changes and the intermittency of new energy power generation. When the load is at its peak or the power of new energy changes suddenly, the power grid can quickly adjust to the optimal operating state, demonstrating strong adaptability and flexibility, and improving the power grid's ability to cope with different operating conditions.

[0072] Promoting the intelligent development of the power grid has enabled the full automation and intelligence of the tuning process. Operators can easily complete complex tuning operations through a user-friendly interface. The system automatically generates and sends tuning commands based on preset strategies and real-time monitoring data, which greatly improves the efficiency and accuracy of power grid regulation.

[0073] The real-time data acquisition and transmission system ensures that the monitoring center can obtain grid operation status information in a timely manner, the performance evaluation tool accurately analyzes grid performance, and the feedback control loop automatically optimizes the tuning parameters based on the evaluation results, forming an intelligent closed-loop control system that keeps the grid in a highly efficient and stable operating state and promotes the development of the grid towards intelligence and automation.

[0074] Optimizing power grid resource allocation and structure, and the rational selection and configuration of half-wavelength controllable equipment, has optimized the reactive power distribution and power flow of the power grid, reduced reactive power transmission losses, and improved the grid's transmission capacity and resource allocation efficiency. It has also improved the voltage distribution of long-distance transmission lines, enhanced the power flow optimization level between regional power grids, and made grid operation more economical and rational.

[0075] The reliable construction of communication networks has enabled information interconnection and interoperability among various parts of the power grid, promoted the coordinated utilization and optimized scheduling of power grid resources, improved the coordination and integrity of the entire power grid system, and laid the foundation for the further development and upgrading of the power grid in the future.

[0076] Strict cybersecurity measures have effectively prevented illegal external intrusion and data leakage, ensuring the security of power grid operation data and tuning commands, guaranteeing the stable operation of the power grid system, and avoiding power grid failures and social impacts caused by cybersecurity issues, thus safeguarding the power grid's safety and sustainable development.

[0077] The implementation of the entire technical solution helps the power grid achieve sustainable development under the dual-carbon background, improves the grid's ability to accept renewable energy, promotes the transformation of the energy structure, reduces dependence on traditional fossil energy, meets the requirements of social development for clean, efficient and sustainable energy use, and provides technical support for the sustainable development of the power industry. Attached Figure Description

[0078] Figure 1 A logic block diagram of a half-wavelength controllable tuning method in the context of dual-carbon and novel power systems;

[0079] Figure 2 This is a logical flowchart of a power grid assessment and demand analysis method.

[0080] Figure 3 A logic block diagram for designing a half-wavelength tuning strategy;

[0081] Figure 4A logic block diagram for the selection and configuration method of half-wavelength controllable devices;

[0082] Figure 5 A logical block diagram of the system integration and communication network construction method;

[0083] Figure 6 A logic diagram for the implementation and monitoring methods of tuning. Detailed Implementation

[0084] To make the objectives, technical solutions, and advantages of the invention clearer, the invention will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0085] like Figure 1 As shown, a half-wavelength controllable tuning method under the background of dual carbon and novel power systems includes the following steps:

[0086] A half-wavelength controllable tuning method under the background of dual carbon and novel power systems includes the following steps:

[0087] S1. Power Grid Assessment and Demand Analysis: Using data collection tools and performance evaluation software, analyze the current status of the power grid, including topology, equipment performance, and load characteristics; combine the dual-carbon objectives and the needs of the new power system, and clarify the specific tuning objectives through multi-standard decision analysis; based on the current status analysis and objective setting, determine the key tuning parameters to provide a basis for strategy design.

[0088] S2. Half-wavelength tuning strategy design: Based on the evaluation results of S1, particle swarm optimization (PSO) is applied to find the optimal tuning frequency, phase, and amplitude parameters. Based on the optimized parameters, a tuning strategy including the timing, duration, and method of tuning is formulated. Simulink simulation software is used to simulate the effect of the tuning strategy to ensure its feasibility and effectiveness. Through simulation result feedback, the tuning strategy is continuously iterated and optimized until the expected tuning effect is achieved.

[0089] S3. Selection and configuration of half-wavelength controllable equipment: Evaluate the performance indicators of different equipment, select equipment whose performance meets the requirements of the tuning strategy, configure the equipment according to the tuning strategy and equipment performance, determine the installation location, and carry out on-site installation and commissioning.

[0090] S4 system integration and communication network construction integrates the half-wavelength controllable devices selected in S3 with the existing power grid system to build a reliable communication network to ensure the real-time transmission of tuning commands and status information;

[0091] S5. Tuning Implementation and Monitoring: Develop a tuning command control system to automatically send tuning commands to various devices, collect real-time power grid operation data, and evaluate the performance of the tuned power grid using performance evaluation tools to ensure stability and transmission efficiency.

[0092] like Figure 2 As shown, S1 includes:

[0093] S11. Data Collection and Processing: Utilize data collection tools such as smart meters and sensor networks to collect electrical quantity data such as voltage, current, and power at various nodes in the power grid, as well as equipment operating status information (such as transformer oil temperature, circuit breaker opening and closing status, etc.). The collection time span should cover at least one complete power load cycle (such as 24 hours). Obtain the topology information of the power grid from the power grid management system (GIS), including line length, line impedance, transformer ratio, node connection relationship, etc., and organize this information into a digital format that can be analyzed.

[0094] S12. Use power system analysis software (such as PSASP, Power System Toolbox in MATLAB / Simulink, etc.) to process the collected data; calculate various performance indicators of the power grid, including power loss, voltage qualification rate, harmonic content, etc.

[0095] By analyzing load characteristics and performing cluster analysis on historical load data, the load is decomposed into different components (such as industrial load, commercial load, residential load, etc.) to determine the peak and trough periods of the load and the load variation patterns.

[0096] S13. Integrating dual carbon and new power system demands, analyze the impact of dual carbon targets on the power grid, and determine specific targets for increasing the proportion of renewable energy access based on local energy development plans and carbon emission targets. For example, based on regional renewable energy resource assessments and energy transition plans, set a target to increase the proportion of distributed photovoltaic power generation access from the current 10% to 30% within the next 5 years, and correspondingly determine the targets that need to be achieved through tuning, such as reducing the curtailment rate of distributed photovoltaic power generation from the current 5% to below 2%.

[0097] The analysis examines the requirements of carbon emission reduction measures on power grid operation, such as improving the energy efficiency of the power grid and setting a target of reducing the overall line loss rate of the grid by 10% after tuning, which can be achieved by optimizing the grid structure and improving equipment operating efficiency.

[0098] In view of the high proportion of new energy access in the new power system, this paper analyzes the impact of the intermittency and volatility of new energy on the stability of the power grid and determines the frequency regulation capability that the grid should have after tuning. For example, it requires that the frequency deviation of the grid be controlled within ±0.2Hz when the power generation of new energy fluctuates by ±30% to ensure the stability of the system frequency, while ensuring that the voltage fluctuation does not exceed ±5%.

[0099] Considering the harmonic problems brought about by the widespread application of power electronic equipment, a target of reducing the harmonic content of the power grid by 30% after tuning is set in order to improve power quality and meet the demand of the new power system for high-quality power supply.

[0100] S14. Determination of key parameters: Based on the current situation analysis and target setting, determine the key parameters related to half-wavelength tuning; key parameters include line parameters (such as line inductance and capacitance) and equipment parameters (such as transformer short-circuit impedance) that may affect the tuning effect based on the power grid topology and equipment performance.

[0101] Based on the power grid topology and equipment performance, the inductance (the calculation model takes into account factors such as the geometry and permeability of the line, and the calculation error does not exceed ±5%) and capacitance (the line-to-ground capacitance, phase-to-phase capacitance, etc., the calculation error does not exceed ±5%) of the line, as well as the short-circuit impedance of the transformer (obtained through short-circuit tests or precise calculation models, with an error of no more than ±3%), are accurately calculated. These parameters will serve as an important basis for half-wavelength tuning.

[0102] like Figure 3 As shown, S2 includes:

[0103] S21. Optimize algorithm parameter initialization. For the Particle Swarm Optimization (PSO) algorithm, set the population size (the population size should be adjusted appropriately according to the power grid size and complexity; for larger power grids, the population size can be increased appropriately), and set the initial value of the inertia weight. The initial value of the inertia weight is set to 0.9, and the initial value of the inertia weight is updated according to a linear decreasing strategy. The update formula is:

[0104]

[0105] Where, ω max ω represents the inertia weight value at the initial stage of the iteration. min ω represents the inertia weight value in the later stage of the iteration, k represents the current iteration number, and K represents the total number of iterations.

[0106] Determine the initial range of position and velocity for each particle. Each dimension of the position vector corresponds to the tuning frequency, phase, and amplitude, respectively. The initial frequency range is set to [49.5, 50.5] Hz (taking a 50 Hz grid as an example) based on the allowable fluctuation range of the power grid frequency and tuning requirements. The initial phase range is [-15°, 15°], and the initial amplitude range is [-0.95, 1.05] times the rated value. The initial velocity vector range is set empirically to [-0.05, 0.05] times the corresponding position range.

[0107] S22. Definition and Calculation of Fitness Function: The fitness function is defined to evaluate the quality of the tuning parameter combination represented by each particle, taking into account objectives such as power loss, voltage stability, and frequency stability. The formula is as follows:

[0108]

[0109] In the formula, ω1, ω2, and ω3 are weighting coefficients; In the combination of tuning parameters Power loss at the following levels; V represents the voltage amplitude at node j after tuning. ref Reference voltage amplitude; f is the frequency of node j after tuning; ref is the reference frequency; m is the total number of nodes monitoring voltage and frequency;

[0110] For each particle in the population The tuning parameters are substituted into a power system simulation model (such as a power system model in Simulink) for simulation calculations to obtain the corresponding power grid performance indicators, thereby calculating the fitness value.

[0111] S23. Particle Update and Iterative Optimization: Update the velocity and position of each particle according to the update formula of the PSO algorithm.

[0112]

[0113] in, Let i be the velocity vector of particle i in the (k+1)th iteration. Let i be the velocity vector of particle i in the k-th iteration. Let be the individual optimal position vector of particle i. The global optimal position vector is defined, and r1 and r2 are random numbers between [0,1]. This represents the position of particle i in the solution space during the k-th iteration; This represents the position of particle i in the solution space at the (k+1)th iteration;

[0114] Check whether the position of the particle exceeds the preset tuning parameter range. If it does, perform boundary processing, which includes restricting the particle position to the boundary or using a bounce strategy.

[0115] Repeat the above process until the preset number of iterations is reached or the convergence condition is met, such as when the global optimal fitness value no longer improves.

[0116] S24. Tuning strategy formulation, including:

[0117] The tuning parameters (optimal tuning frequency, phase, and amplitude) corresponding to the globally optimal particle are selected as the final tuning parameters.

[0118] The timing of tuning should be determined based on the grid's operating patterns and load characteristics; tuning should be performed one hour before the daily load peak to prepare for high load demand; or tuning should be performed 30 minutes before a significant fluctuation in the forecast of renewable energy power generation to enhance the grid's adaptability to changes in renewable energy.

[0119] The duration of tuning is determined based on the dynamic response characteristics of the power grid and the duration of the tuning effect. The trend of power grid performance under different tuning parameters is analyzed by simulation. If it is found that the power grid performance under a certain set of parameters remains in a good state for a period of time after tuning, then that period of time is set as the duration.

[0120] Choose a tuning method, such as centralized tuning (where the power grid control center sends tuning commands to each device) or distributed tuning (where each device tunes autonomously based on local measurement information and preset rules), and formulate corresponding control logic. Centralized tuning requires ensuring the reliability and real-time performance of communication, while distributed tuning requires designing reasonable local control strategies to avoid conflicts between devices.

[0121] like Figure 4 As shown, S3 includes:

[0122] S31. Equipment performance evaluation indicators are determined. Based on the requirements of the tuning strategy, key indicators for evaluating the performance of half-wavelength controllable equipment are determined. For half-wavelength transformers, key indicators include the turns ratio adjustment range (which must cover the grid voltage regulation requirements), short-circuit impedance (matching the grid short-circuit capacity), and adjustment speed (meeting the requirements for rapid tuning). For half-wavelength capacitors, key indicators include the capacitance adjustment range (set according to reactive power compensation requirements), withstand voltage, and loss tangent (the smaller the better, such as less than 0.001). For half-wavelength inductors, key indicators include the inductance adjustment range (determined according to the tuning frequency range), saturation current (greater than 1.2 times the maximum possible current of the grid), and quality factor.

[0123] S32. Equipment selection and technical parameter comparison

[0124] We collected technical data on half-wavelength controllable devices from different manufacturers on the market, including product manuals and performance test reports, to ensure the completeness and accuracy of the data. For each key performance indicator, we conducted a detailed comparative analysis of different devices. For example, regarding the transformer ratio adjustment range, we accurately compared whether each half-wavelength transformer fully met the voltage regulation requirements in the tuning strategy. Regarding the adjustment speed, we evaluated whether each device could complete parameter adjustment within the specified time after receiving the tuning command through actual testing or test data provided by the manufacturer, with the test error controlled within ±1 second.

[0125] Based on the comparison results, a list of equipment models whose performance meets the requirements of the tuning strategy is selected. The equipment is required to meet or exceed the set requirements in all key indicators and have the best overall performance.

[0126] S33. Equipment performance evaluation indicators are determined. Based on the topology and tuning requirements of the power grid, the installation location of half-wavelength controllable equipment is determined. For example, in order to improve the voltage distribution of long-distance transmission lines, half-wavelength capacitors are installed at nodes with lower voltage in the middle or at the end of the transmission line; in order to adjust the reactive power balance of the substation bus, half-wavelength inductors are installed on the bus side; in order to achieve power flow optimization between regional power grids, half-wavelength transformers are installed at the grid interconnection nodes.

[0127] Considering the mutual influence and synergistic effect between equipment, the equipment should be configured reasonably. For example, when half-wavelength transformers and half-wavelength capacitors are installed in a substation, their relative positions and capacity matching should be determined according to their regulation characteristics and impact on the power grid to ensure that they do not interfere with each other or cancel out the regulation effect when working together. The rationality of the configuration should be verified through simulation analysis and field testing.

[0128] S33. On-site installation and commissioning: Install the half-wavelength controllable equipment on-site in accordance with the equipment installation manual and relevant standards and specifications; during the installation process, strictly control the installation accuracy, such as ensuring that the installation level error of the transformer does not exceed ±0.1, and that the tightening torque of the terminals of the capacitors and inductors meets the manufacturer's specifications (error not exceeding ±5%), to ensure that the equipment is installed firmly, the wiring is correct, and the grounding is reliable (grounding resistance less than 4 ohms), etc.

[0129] After the equipment is installed, commissioning is carried out. First, individual equipment is commissioned to check whether the functions of the equipment are normal, such as whether the adjustment range meets the technical parameters (test error does not exceed ±2%), and whether the communication interface communicates normally (communication success rate reaches 100%). Then, system integration is carried out to simulate actual tuning operations, observe the collaborative work between equipment and the impact on power grid performance, and adjust and optimize any problems found in a timely manner to ensure that the entire system can operate stably and meet the tuning requirements.

[0130] like Figure 5 As shown, S4 includes:

[0131] S41. Hardware Interface Design and Connection: Analyze in detail the hardware interface requirements between the half-wavelength controllable device and other devices in the existing power grid system (such as substation automation systems, protection devices, metering equipment, etc.); determine the interface type (such as Ethernet interface, RS-485 interface, fiber optic interface, etc.), communication protocol (such as IEC 61850, Modbus, etc.), and electrical connection method (such as voltage level matching, with an error not exceeding ±5%; signal level matching, conforming to interface standard specifications).

[0132] According to the interface design requirements, hardware connections should be made. During the connection process, the accuracy and stability of signal transmission should be ensured, and problems such as electromagnetic interference should be avoided. For example, for communication lines using Ethernet interfaces, shielded twisted-pair cables should be used (the grounding resistance of the shield layer should be less than 1 ohm), and the cabling route should be planned reasonably, away from strong electromagnetic interference sources (such as large motors, transformers, etc.). The cabling length should not exceed 100 meters (if it exceeds this, signal repeater equipment should be added). At the same time, impedance matching should be performed on the communication lines (impedance matching error should not exceed ±10%) to ensure signal transmission quality.

[0133] S42. Communication network architecture construction: Select a suitable communication network architecture, such as star topology, ring topology, or bus topology, based on the scale, geographical distribution, and reliability requirements of the power grid. For large urban power grids, a hierarchical distributed communication network architecture is adopted, with the control center as the core node and each substation as a sub-node, connected through a fiber optic backbone network to form a star topology structure, ensuring communication reliability and real-time performance. The backbone network communication rate is no less than 100Mbps, the branch network communication rate is no less than 10Mbps, and the network latency is no more than 10 milliseconds.

[0134] Configure network devices, such as switches, routers, and communication gateways; set parameters such as IP addresses (following a unified IP addressing scheme to ensure address uniqueness), subnet masks, and routing rules to ensure correct communication between network devices and accurate and rapid data transmission between the half-wavelength controllable device and other devices in the power grid system. Perform performance tests on the network devices, including throughput testing (achieving over 95% of the device's nominal throughput) and packet loss rate testing (less than 0.1%), to ensure the devices meet communication requirements.

[0135] S43. Communication Protocol Configuration and Testing: Based on the selected communication protocol (e.g., IEC 61850), configure the communication between the two parties (half-wavelength controllable devices and monitoring equipment in the power grid system); define communication elements such as Data Object Model (DO), DataSet, and Report Control Block (RCB) to ensure that both parties can understand and parse the data sent by the other. Perform a consistency check on the protocol configuration to ensure the accuracy and completeness of the configuration parameters;

[0136] Communication protocol testing is conducted by sending test messages to check the accuracy, integrity, and real-time performance of data transmission. For example, a tuning command is sent from the monitoring device to the half-wavelength controllable device to check whether the device correctly receives and executes the command (command execution success rate reaches 100%). At the same time, status information is sent from the device to the monitoring device to verify whether the monitoring device can accurately parse and display the device status (status information parsing accuracy rate reaches 100%). The test data transmission time does not exceed 100 milliseconds.

[0137] S44. Implementation of network security protection measures: Considering the security of the power grid system, implement network security protection measures for communication networks; set up firewalls to block unauthorized external access, allowing only authorized IP addresses or devices to communicate with half-wavelength controllable devices, ensuring that firewall rules are set accurately and that the protection success rate reaches 100%.

[0138] Encryption technology is used to encrypt the transmitted data to prevent it from being stolen or tampered with during transmission. For example, SSL / TLS protocol is used to encrypt IEC 61850 communication data. The encryption algorithm strength meets industry security standards, and the encryption key is updated regularly (with an update cycle of no more than 3 months) to ensure the security of tuning commands and power grid operation data.

[0139] Regularly conduct network security vulnerability scans and updates to promptly identify and remediate potential security risks, ensuring the stable operation of the communication network. Vulnerability scans should be conducted at least once a month, and vulnerabilities should be remediated promptly within 48 hours of discovery.

[0140] like Figure 6 As shown, S5 includes:

[0141] S51. Development of a tuning command control system: A tuning command control system based on a power grid monitoring platform or dedicated control system software should be developed. This system should have a user-friendly interface, allowing operators to intuitively input tuning parameters (such as frequency, phase, amplitude, etc.) or select preset tuning strategies. The accuracy of the input parameters should be verified to be 100%.

[0142] Internally, the system generates, encodes, and sends tuning commands. Based on the selected communication protocol (such as IEC61850), the tuning commands are encapsulated into messages conforming to the protocol format and sent to the corresponding half-wavelength controllable device through the communication network. The command encoding accuracy reaches 100%, and the command transmission success rate reaches 100%.

[0143] Establish a priority mechanism and error handling mechanism for command transmission; for example, in the event of an emergency in the power grid (such as a short circuit fault), emergency control commands are sent first (the emergency command response time does not exceed 1 second); when the command transmission fails, the system can automatically resend the command (the number of resends does not exceed 3 times, and the interval between each resend does not exceed 5 seconds) or issue an alarm message (the alarm message accuracy rate reaches 100%) to ensure that the tuning commands can reach the equipment accurately.

[0144] S52. Real-time data acquisition and transmission: Install data acquisition devices (such as data acquisition units, merging units, etc.) in the power grid to collect and tune-related operational data, including electrical quantity data such as voltage, current, power, and frequency (measurement accuracy reaches ±0.5%), as well as status information of half-wavelength controllable equipment (such as equipment temperature, adjustment position, etc., measurement accuracy reaches ±1%); the sampling frequency of the data acquisition device is set according to the dynamic characteristics of the power grid, such as for frequency regulation-related data, the sampling frequency is not less than 1000Hz; for voltage, current, and other data, the sampling frequency is not less than 100Hz;

[0145] The collected data is transmitted to the monitoring center in real time via a communication network. To ensure the real-time performance and accuracy of data transmission, a data verification and retransmission mechanism is employed to prevent data loss or errors. For example, data is collected once per second and transmitted to the monitoring center within 10 milliseconds, achieving a data transmission success rate of over 99.9% and a data verification accuracy rate of 100%. If data errors or loss are detected, retransmission is immediately initiated (retransmission time not exceeding 1 second).

[0146] S53. Power Grid Performance Assessment and Analysis: In the monitoring center, performance assessment tools are used to process and analyze the received power grid operation data; various performance indicators, such as power loss, voltage qualification rate, frequency deviation, etc., are calculated. The formulas are the same as the performance assessment formulas in S1, and the accuracy of the calculation results is within ±1%.

[0147] The performance indicators after tuning are compared with the data before tuning to evaluate the tuning effect; the power loss reduction rate is calculated to determine whether the tuning has achieved the expected energy-saving effect (the energy-saving effect evaluation error does not exceed ±5%); the voltage qualification rate is observed to see if it has improved (the improvement evaluation error does not exceed ±1%), and whether the frequency deviation is within the allowable range, etc., to conduct a comprehensive and accurate evaluation of the tuning effect. The formula for the power loss reduction rate is expressed as:

[0148]

[0149] In the formula, ΔP loss This indicates a reduction in power loss; P loss,b This shows the total power loss in the power grid due to factors such as line resistance and transformer losses before the implementation of half-wavelength tuning measures; P loss,a The actual power loss that occurs in the power grid after the half-wavelength tuning operation is completed;

[0150] S54. Feedback control and optimization adjustment: Based on the performance evaluation results, if it is found that the power grid performance has not met the expected target, such as the power loss is still high or the voltage stability is insufficient, the tuning parameters are adjusted by the tuning command control system, and the tuning command is sent to the half-wavelength controllable device again for optimization adjustment.

[0151] A feedback control loop is established so that the tuning process can be automatically adjusted according to the actual operation of the power grid. For example, when the power grid load changes and causes a voltage drop, the monitoring system automatically detects the voltage deviation and adjusts the parameters of the half-wavelength controllable device according to the preset control strategy to improve the voltage level and achieve dynamic optimization tuning.

[0152] The above description is a preferred embodiment of the invention and is not intended to limit the scope of the invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the invention should be included within the scope of protection of the invention.

Claims

1. A half-wavelength controllable tuning method under the background of dual carbon and novel power systems, characterized in that, Includes the following steps: S1. System Assessment and Requirements Analysis: Using data collection tools and performance evaluation software, analyze the current status of the power grid's topology, equipment performance, and load characteristics; combining the dual-carbon objectives and the requirements of the new power system, clarify the specific tuning objectives through multi-standard decision analysis; based on the current status analysis and objective setting, determine the key tuning parameters to provide a basis for strategy design. S2. Half-wavelength tuning strategy design: Based on the evaluation results of S1, particle swarm optimization (PSO) is applied to find the optimal tuning frequency, phase and amplitude parameters. Based on the optimized parameters, a tuning strategy including the timing, duration and method of tuning is formulated. Simulink simulation software is used to simulate the effect of the tuning strategy, ensuring the feasibility and effectiveness of the strategy. Through simulation results feedback, the tuning strategy is continuously iterated and optimized until the expected tuning effect is achieved. S3. Selection and configuration of half-wavelength controllable equipment: Evaluate the performance indicators of different equipment, select equipment whose performance meets the requirements of the tuning strategy, configure the equipment according to the tuning strategy and equipment performance, determine the installation location, and carry out on-site installation and commissioning. S4 system integration and communication network construction integrates the half-wavelength controllable devices selected in S3 with the existing power grid system to build a reliable communication network to ensure the real-time transmission of tuning commands and status information; S5. Tuning Implementation and Monitoring: Develop a tuning command control system to automatically send tuning commands to various devices, collect real-time power grid operation data, and evaluate the performance of the tuned power grid using performance evaluation tools to ensure stability and transmission efficiency. S2 includes: S21. Optimize algorithm parameter initialization. For the Particle Swarm Optimization (PSO) algorithm, set the population size and the initial value of the inertia weight. The initial value of the inertia weight is set to 0.9, and the initial value of the inertia weight is updated according to a linear decreasing strategy. The update formula is: ； in, The inertia weight value at the initial stage of the iteration. This represents the inertia weight value in the later stages of the iteration. The updated inertia weight values, This represents the current iteration number. This represents the total number of iterations. Determine the initial range of position and velocity for each particle, and the tuning frequency, phase, and amplitude corresponding to each dimension of the position vector; the initial frequency range is set according to the allowable fluctuation range of the power grid frequency and tuning requirements. Hz, initial phase range is The initial range of amplitude is The initial range of the velocity vector is set empirically to correspond to the position range. times; S22. Definition and Calculation of Fitness Function: The fitness function is defined to evaluate the quality of the tuning parameter combination represented by each particle, taking into account power loss, voltage stability, and frequency stability objectives. The formula is as follows: ； In the formula, , , These are the weighting coefficients; In the combination of tuning parameters Power loss at the following levels; For nodes The voltage amplitude after tuning; Reference voltage amplitude; For nodes At the tuned frequency; For reference frequency; The total number of nodes for monitoring voltage and frequency; For each particle in the population The tuning parameters are substituted into a power system simulation model (such as a power system model in Simulink) for simulation calculations to obtain the corresponding power grid performance indicators, thereby calculating the fitness value. ; S23. Particle Update and Iterative Optimization: Update the velocity and position of each particle according to the update formula of the PSO algorithm. ； ； in, For particles In the The velocity vector of the next iteration For particles In the The velocity vector of the next iteration For particles The individual optimal position vector, This is the globally optimal position vector. and for Random numbers between; Represents particles In the The position in the solution space at the next iteration; Represents particles In the The position in the solution space at the next iteration; Check if the particle's position exceeds the preset tuning parameter range. If it does, perform boundary processing, which includes restricting the particle's position to the boundary or using a bounce strategy. Repeat the above process until the preset number of iterations is reached or the convergence condition is met, such as when the global optimal fitness value no longer improves. S24. Tuning strategy formulation.

2. The half-wavelength controllable tuning method under the background of dual carbon and novel power systems according to claim 1, characterized in that, The S1 mentioned above includes: S11. Data collection and processing: Using smart meters and sensor network data collection tools, collect voltage, current, and power electrical quantity data of each node in the power grid, as well as equipment operating status information. The collection time span should cover at least one complete power load cycle. Obtain the topology information of the power grid from the power grid management system (GIS), including line length, line impedance, transformer ratio, and node connection relationship, and organize this information into a digital format that can be analyzed. S12. Use power system analysis software to process the collected data; calculate various performance indicators of the power grid, including power loss, voltage qualification rate, and harmonic content; By analyzing load characteristics and performing cluster analysis on historical load data, the load is decomposed into different components to determine the peak and trough periods of the load and the load variation patterns. S13. Integrating dual-carbon and new power system demands, analyze the impact of dual-carbon targets on the power grid, combine local energy development plans and carbon emission targets to determine specific targets for increasing the proportion of renewable energy access and analyze the requirements of carbon emission reduction measures on power grid operation; considering the high proportion of new energy access in the new power system, analyze the impact of the intermittency and volatility of new energy on power grid stability, and determine the frequency regulation capability that the tuned power grid should have. S14. Determination of key parameters: Based on the current situation analysis and target setting, determine the key parameters related to half-wavelength tuning; key parameters include line parameters and equipment parameters that may affect the tuning effect based on the power grid topology and equipment performance. Based on the power grid topology and equipment performance, the inductance and capacitance of the lines, as well as the short-circuit impedance parameters of the transformers, are calculated. These parameters will serve as an important basis for half-wavelength tuning.

3. The half-wavelength controllable tuning method under the background of dual carbon and novel power systems according to claim 1, characterized in that, Tuning strategies include: The tuning parameters corresponding to the globally optimal particle are selected as the final tuning parameters. The timing of tuning should be determined based on the grid's operating patterns and load characteristics; tuning should be performed one hour before the daily load peak to prepare for high load demand; or tuning should be performed 30 minutes before a significant fluctuation in the forecast of renewable energy power generation to enhance the grid's adaptability to changes in renewable energy. The duration of tuning is determined based on the dynamic response characteristics of the power grid and the duration of the tuning effect. The trend of power grid performance under different tuning parameters is analyzed by simulation. If it is found that the power grid performance under a certain set of parameters remains in a good state for a period of time after tuning, then that period of time is set as the duration. Choose a tuning method, which can be either centralized or distributed, and formulate corresponding control logic. Centralized tuning requires ensuring the reliability and real-time performance of communication, while distributed tuning requires designing a reasonable local control strategy to avoid conflicts between devices.

4. The half-wavelength controllable tuning method under the background of dual carbon and novel power systems according to claim 1, characterized in that, S3 includes: S31. Equipment performance evaluation indicators are determined. Based on the requirements of the tuning strategy, the key indicators for evaluating the performance of half-wavelength controllable equipment are determined. For half-wavelength transformers, the key indicators include turns ratio adjustment range, short-circuit impedance, and adjustment speed. For half-wavelength capacitors, the key indicators include capacitance adjustment range, withstand voltage, and loss tangent. For half-wavelength inductors, the key indicators include inductance adjustment range, saturation current, and quality factor. S32. Equipment selection and technical parameter comparison: Collect technical information on half-wavelength controllable equipment from different manufacturers on the market, including product manuals and performance test reports, to ensure the completeness and accuracy of the information; conduct detailed comparative analysis of different equipment for each key performance indicator; Based on the comparison results, a list of equipment models whose performance meets the requirements of the tuning strategy is selected. The equipment is required to meet or exceed the set requirements in all key indicators and have the best overall performance. S33. Equipment performance evaluation indicators are determined. Based on the topology and tuning requirements of the power grid, the installation location of the half-wavelength controllable equipment is determined. The mutual influence and synergistic effect between the equipment are considered, and the equipment is configured reasonably. S33. On-site installation and commissioning: Install the half-wavelength controllable equipment on-site in accordance with the equipment installation manual and relevant standards and specifications; strictly control the installation accuracy during the installation process; After the equipment is installed, commissioning is carried out. First, individual equipment is commissioned to check whether the functions of the equipment are normal. Then, the system is integrated and commissioned to simulate actual tuning operations, observe the coordination between equipment and the impact on power grid performance, and adjust and optimize any problems found in a timely manner to ensure that the entire system can operate stably and meet the tuning requirements.

5. The half-wavelength controllable tuning method under the background of dual carbon and novel power systems according to claim 1, characterized in that, S4 includes: S41. Hardware Interface Design and Connection: Detailed analysis of the hardware interface requirements between the half-wavelength controllable device and other devices in the existing power grid system; determination of interface type, communication protocol, and electrical connection method; According to the interface design requirements, hardware connections should be made; during the connection process, the accuracy and stability of signal transmission should be ensured, and electromagnetic interference problems should be avoided. S42. Communication network architecture construction: Select a suitable communication network architecture; For large urban power grids, adopt a hierarchical distributed communication network architecture, with the control center as the core node and each substation as a sub-node, connected by a fiber optic backbone network to form a star topology to ensure the reliability and real-time performance of communication; The backbone network communication rate shall not be less than 100Mbps, the branch network communication rate shall not be less than 10Mbps, and the network latency shall not exceed 10 milliseconds. Configure network devices, such as switches, routers, and communication gateways; set the IP addresses, subnet masks, and routing rules of the devices to ensure that network devices can communicate correctly and that data can be transmitted accurately and quickly between the half-wavelength controllable device and other devices in the power grid system; perform performance tests on the network devices, including throughput tests and packet loss rate tests, to ensure that the devices meet communication requirements. S43. Communication Protocol Configuration and Testing: Configure the communication protocol for both parties according to the selected protocol; define communication elements such as Data Object Model (DO), DataSet, and Report Control Block (RCB) to ensure that both parties can understand and parse the data sent by the other party; perform a consistency check on the protocol configuration to ensure the accuracy and completeness of the configuration parameters; S44. Network security protection measures are implemented, taking into account the security of the power grid system, and communication network security protection measures are implemented; firewalls are set up to block unauthorized external access, allowing only authorized IP addresses or devices to communicate with half-wavelength controllable devices, and the firewall rules are set accurately and correctly, achieving a 100% protection success rate; Encryption technology is used to encrypt the transmitted data to prevent it from being stolen or tampered with during transmission. Regularly scan and update network security vulnerabilities to promptly identify and fix potential security risks and ensure the stable operation of communication networks.

6. The half-wavelength controllable tuning method under the background of dual carbon and novel power systems according to claim 1, characterized in that, S5 includes: S51. Development of a tuning command control system: Develop a tuning command control system based on a power grid monitoring platform or dedicated control system software; the system should have a user-friendly interface, allowing operators to intuitively input tuning parameters or select preset tuning strategies, with the accuracy of input parameters verified to be 100%; Internally, the system implements the functions of generating, encoding, and sending tuning commands; according to the selected communication protocol, the tuning commands are encapsulated into messages conforming to the protocol format and sent to the corresponding half-wavelength controllable device through the communication network. The command encoding accuracy reaches 100%, and the command transmission success rate reaches 100%. Establish a priority mechanism and error handling mechanism for command transmission. In the event of an emergency in the power grid, emergency control commands will be sent first. When command transmission fails, the system can automatically resend the command or issue an alarm message to ensure that the tuning commands can reach the equipment accurately. S52. Real-time data acquisition and transmission: Install data acquisition devices in the power grid to collect and tune-related operating data, including voltage, current, power, frequency electrical quantity data, and status information of half-wavelength controllable equipment; the sampling frequency of the data acquisition device is set according to the dynamic characteristics of the power grid, such as a sampling frequency of not less than 1000Hz for frequency regulation-related data, and a sampling frequency of not less than 100Hz for voltage and current data. The collected data is transmitted to the monitoring center in real time through the communication network; to ensure the real-time performance and accuracy of data transmission, a data verification and retransmission mechanism is adopted to prevent data loss or errors; S53. Power Grid Performance Assessment and Analysis: In the monitoring center, performance assessment tools are used to process and analyze the received power grid operation data; various performance indicators are calculated, including power loss, voltage qualification rate, and frequency deviation. The formulas are the same as the performance assessment formulas in S1, and the accuracy of the calculation results is within ±1%. The performance indicators after tuning are compared with the data before tuning to evaluate the tuning effect; the power loss reduction rate is calculated to determine whether the tuning has achieved the expected energy-saving effect; the voltage qualification rate is observed to see if it has improved and whether the frequency deviation is within the allowable range, to comprehensively and accurately evaluate the tuning effect. The formula for the power loss reduction rate is expressed as: ； In the formula, This indicates a reduction in power loss; This shows the total power loss in the power grid due to line resistance and transformer losses before the implementation of half-wavelength tuning measures. The actual power loss that occurs in the power grid after the half-wavelength tuning operation is completed; S54. Feedback control and optimization adjustment: Based on the performance evaluation results, if it is found that the power grid performance has not met the expected target, such as the power loss is still high or the voltage stability is insufficient, the tuning parameters are adjusted by the tuning command control system, and the tuning command is sent to the half-wavelength controllable device again for optimization adjustment. A feedback control loop is established so that the tuning process can be automatically adjusted according to the actual operation of the power grid. For example, when the power grid load changes and causes a voltage drop, the monitoring system automatically detects the voltage deviation and adjusts the parameters of the half-wavelength controllable device according to the preset control strategy to improve the voltage level and achieve dynamic optimization tuning.

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