Novel power system construction method based on intelligent measurement

Abstract

The invention discloses a novel power system construction method based on intelligent measurement, and relates to the technical field of intelligent power grids. Comprising the steps of reducing the volatility of a power grid, multi-energy balance management, power prediction and regulation, harmonic and transient control, load adjustment and optimization and application of an energy storage system. The source network load storage maintains dynamic balance, and a panoramic perception demand is generated; distributed power supply control is optimized, and the fast feedback capability is improved; an intelligent measurement system architecture and system are researched, intelligent measurement master station equipment is constructed, and intelligent measurement infrastructures are set. According to the method, new requirements of the novel electric power system for the measurement technology are met in the novel electric power system, operations of reducing power grid volatility, measuring seamless point distribution and distributed power supply optimization control are carried out, and the stability and the safety monitoring level during new energy access are improved, and the data processing efficiency is improved. And the information security protection level in an intelligent cost control complex service scene is ensured.

Description

Technical Field

[0001] This invention relates to the field of smart grid technology, and in particular to a novel power system construction method based on smart measurement. Background Technology

[0002] Currently, the global energy crisis and environmental pollution are becoming increasingly severe, forcing countries to accelerate their transformation to address the challenges of climate change and energy security. Against this backdrop, many countries are turning to clean, low-carbon, and renewable energy sources, such as wind, solar, and biomass energy, as key components of their future energy systems. With rapid urbanization and industrialization, the demand for electricity is constantly increasing, necessitating the construction of more reliable, efficient, and clean power systems to meet this demand. In this context, building a new type of power system primarily based on clean, low-carbon, and renewable energy sources such as wind, solar, and biomass has become a consensus in the energy sectors of various countries.

[0003] New power systems are constantly evolving, and new energy sources are becoming a crucial support for my country's safe, clean, and efficient transformation of its power energy sector. In this development process, with the rapid decline in technology costs, large-scale penetration of new energy will become a significant characteristic of the power system. Therefore, it is urgent to improve information security protection, security monitoring, and data processing efficiency in complex business scenarios involving new energy access, time-of-use pricing, and intelligent fee control to meet on-site business requirements. To address these issues, this invention proposes a novel power system construction method based on intelligent measurement. This method solves the problems of insufficient information security protection, low security monitoring levels, and low data processing efficiency in existing complex business scenarios involving new energy access, time-of-use pricing, and intelligent fee control. Summary of the Invention

[0004] In view of the problems of insufficient information security protection, low security monitoring level and low data processing efficiency in the complex business scenarios of new energy access, time-of-use pricing and intelligent fee control, this invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is to set up intelligent measurement master station equipment and smart meters under the intelligent measurement system architecture to ensure the level of information security protection in complex business scenarios of intelligent fee control.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] In a first aspect, embodiments of the present invention provide a novel power system construction method based on intelligent measurement, which includes reducing grid volatility, including multi-energy balance management, power prediction and regulation, harmonic and transient control, load adjustment and optimization, and the application of energy storage systems; maintaining dynamic balance between power sources, grid, load, and storage to generate panoramic sensing demand; optimizing distributed power source control and improving rapid feedback capability; researching the architecture and system of intelligent measurement systems, constructing intelligent measurement master station equipment, and setting up intelligent measurement infrastructure.

[0008] As a preferred embodiment of the novel power system construction method based on intelligent measurement of the present invention, reducing grid volatility further includes: scheduling and coordinating new energy and traditional energy sources; adjusting the supply and demand balance of the power system by combining demand-side response and energy storage system resources; installing harmonic filters and actively intervening in grid harmonic configuration; storing excess energy during peak periods of new energy injection and releasing energy during peak periods of electricity demand.

[0009] As a preferred embodiment of the novel power system construction method based on intelligent measurement of the present invention, the following steps are included to enhance the rapid feedback capability: the prediction of the output of new energy sources includes the following steps: real-time acquisition of the output power and environmental data of new energy generators; extraction of factors such as tilt angle, azimuth angle, irradiance and temperature of photovoltaic panels, and wind speed and wind direction of wind turbines; training of the ARIMA prediction model using historical data; outputting the prediction results and evaluating the prediction results.

[0010] As a preferred embodiment of the novel power system construction method based on intelligent measurement of the present invention, the specific formula of the ARIMA prediction model is as follows:

[0011]

[0012] in, Let φ represent the predicted output of new energy sources at time t, where c is a constant and φ is a variable. i and θ j Let γ represent the autoregressive and moving average coefficients of the model, respectively. k Y represents the difference coefficients of the model. t-i ΔY represents the observed value at time ti. t-k ε represents the first difference of time tk. t-j Let ε represent the residual at time tj, and ε represent the prediction error at time t.

[0013] As a preferred embodiment of the novel power system construction method based on intelligent measurement of the present invention, the root mean square error is used as the evaluation index to assess the prediction results, and the specific formula for the root mean square error is as follows:

[0014]

[0015] Where RMSE represents the root mean square error, Y i Represents the observed value. This represents the corresponding predicted value, where n represents the sample size, and γ represents the predicted value. k The difference coefficients of the model, ΔY i-k This represents the first-order difference value of time ik.

[0016] As a preferred embodiment of the novel power system construction method based on intelligent measurement of this invention, the intelligent measurement system architecture and system include information security protection, which includes the following steps: analyzing security risks, including key equipment and systems in complex business scenarios such as new energy access, time-of-use pricing, and intelligent fee control, and identifying potential security threats and vulnerabilities; setting passwords for the intelligent measurement master station equipment and key smart meter equipment, and updating the passwords regularly; encrypting communication data using encryption algorithms, and implementing two-way authentication; automatically detecting and responding to abnormal behavior; designing data synchronization and sharing interfaces using verified secure communication protocols, and adopting encryption mechanisms and secure authentication methods; implementing access control, restricting user permissions, and preventing unauthorized access and operation.

[0017] As a preferred embodiment of the novel power system construction method based on intelligent measurement of this invention, the following is provided: The integration of new energy sources requires an evaluation of grid stability, and the specific formula for the grid stability evaluation function is as follows:

[0018]

[0019] Where S represents the power grid stability evaluation function, S1 represents the energy stability in the power grid, S2 represents the security of the power grid, S3 represents the efficiency of the power grid, S4 represents the seamlessness of power grid operation, W1 represents the weighting factor of energy-related indicators in the evaluation, W2 represents the weighting factor of security-related indicators in the evaluation, W3 represents the weighting factor of efficiency-related indicators in the evaluation, and W4 represents the weighting factor of continuity-related indicators in the evaluation.

[0020] Secondly, embodiments of the present invention provide a novel power system construction system based on intelligent measurement, which includes a fluctuation reduction unit for reducing the volatility of the power grid, including multi-energy balance management, power prediction and regulation, harmonic and transient control, load adjustment and optimization, and the application of energy storage systems; a dynamic balancing unit for maintaining dynamic balance between power sources, grid, load, and storage, generating panoramic sensing demand; an optimization unit for optimizing distributed power source control and improving rapid feedback capability; and an equipment construction unit for studying the architecture and system of the intelligent measurement system, constructing intelligent measurement master station equipment, and setting up the intelligent measurement infrastructure.

[0021] Thirdly, embodiments of the present invention provide a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein when the computer program instructions are executed by the processor, they implement the steps of the novel power system construction method based on intelligent measurement as described in the first aspect of the present invention.

[0022] Fourthly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program instructions are executed by a processor, they implement the steps of the novel power system construction method based on intelligent measurement as described in the first aspect of the present invention.

[0023] The beneficial effects of this invention are as follows: By addressing the new demands of new power systems on measurement technology, it reduces grid volatility, achieves seamless measurement deployment, and optimizes distributed power source control, thereby improving the stability and security monitoring level during new energy integration, as well as data processing efficiency. Simultaneously, by setting up intelligent measurement master station equipment and smart meters within the intelligent measurement system architecture, it ensures information security protection in complex intelligent fee control scenarios and supports time-of-use pricing. Compared with existing technologies, this invention offers advantages such as stable new energy integration, secure information protection, and high data processing efficiency. Attached Figure Description

[0024] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 A flowchart illustrating the new requirements for constructing a novel power system based on intelligent measurement.

[0026] Figure 2 This is a flowchart illustrating the infrastructure construction process for a novel power system construction method based on intelligent measurement.

[0027] Figure 3 This is a reference diagram of the data processing technology roadmap for constructing a new power system based on intelligent measurement. Detailed Implementation

[0028] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0029] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0030] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0031] Example 1

[0032] Reference Figures 1-3 This is the first embodiment of the present invention, which provides a novel power system construction method based on intelligent measurement, including the following steps:

[0033] S1: Reduce grid volatility, including multi-energy balance management, power forecasting and regulation, harmonic and transient control, load adjustment and optimization, and the application of energy storage systems.

[0034] Specifically, reducing grid volatility also includes scheduling and coordinating new and traditional energy sources; adjusting the power system's supply and demand balance by combining demand-side response and energy storage system resources; installing harmonic filters and actively intervening in grid harmonic configuration; storing excess energy during peak periods of new energy injection and releasing energy during peak periods of electricity demand.

[0035] Furthermore, predicting the output of new energy sources includes the following steps: real-time acquisition of the output power and environmental data of new energy generators; extraction of factors such as the tilt angle, azimuth angle, light intensity, and temperature of photovoltaic panels, and wind speed and direction of wind turbines; training the ARIMA prediction model using historical data; outputting the prediction results and evaluating the prediction results.

[0036] Furthermore, the specific formula for the ARIMA prediction model is as follows:

[0037]

[0038] in, Let φ represent the predicted output of new energy sources at time t, where c is a constant and φ is a variable. i and θ j Let γ represent the autoregressive and moving average coefficients of the model, respectively. k Y represents the difference coefficients of the model. t-i ΔY represents the observed value at time ti. t-k ε represents the first difference of time tk.t-j Let ε represent the residual at time tj, and ε represent the prediction error at time t.

[0039] Furthermore, the root mean square error (RMSE) is used as the evaluation index to assess the prediction results. The specific formula for RMSE is as follows:

[0040]

[0041] Where RMSE represents the root mean square error, Y i Represents the observed value. This represents the corresponding predicted value, where n represents the sample size, and γ represents the predicted value. k The difference coefficients of the model, ΔY i-k This represents the first-order difference value of time ik.

[0042] Specifically, the random power injection from new energy sources tests the measurement response level. New energy sources such as photovoltaic power generation and wind power have strong random fluctuations, and the number of nonlinear electrical devices is constantly increasing, injecting a large number of harmonics into the power grid. The waveform may exhibit unstable forms such as oscillations, or be accompanied by extreme quantities such as instantaneous impacts and harmonic over-limits.

[0043] Furthermore, multi-energy balance management involves achieving supply and demand balance through the rational planning and management of the injection and consumption of different energy sources. This includes scheduling and coordinating different new and traditional energy sources to reduce sudden power and voltage fluctuations.

[0044] Furthermore, power forecasting and regulation include using advanced power forecasting technologies to accurately predict the output of new energy sources such as photovoltaic power generation and wind power, and combining demand-side response and energy storage systems to adjust the supply and demand balance of the power system and reduce fluctuations.

[0045] Furthermore, harmonic and transient control includes taking effective harmonic control measures for harmonic problems caused by nonlinear loads and new energy injection, such as installing harmonic filters and actively intervening in the grid harmonic configuration to reduce harmonic injection.

[0046] Furthermore, load adjustment and optimization, including load-side adjustment and optimization measures such as using efficient electronic devices, reducing peak load demand, and adopting energy management systems, can reduce the impact of nonlinear loads on the power grid and reduce fluctuations.

[0047] Furthermore, the application of energy storage systems includes using them to store excess energy during peak periods of new energy injection and release energy during peak periods of electricity demand, thereby achieving supply and demand balance and reducing grid fluctuations.

[0048] S2: The source, grid, load and storage maintain a dynamic balance, generating a panoramic perception demand.

[0049] Specifically, in new power systems, the rapid interaction between elements such as power sources, grids, loads, and storage leads to more frequent changes in the power grid. To achieve comprehensive grid awareness, seamless measurement deployment is needed through redundant or virtual measurements to ensure full coverage of all observation points and guarantee stable service and connectivity for users anytime, anywhere.

[0050] Furthermore, the need for panoramic perception includes achieving seamless measurement deployment, which involves the following operations: Sensor deployment planning: By rationally planning the placement of sensors, the goal of covering the entire power grid area can be achieved. Sensors can be installed in key locations such as substations, distribution cabinets, transformers, and cable lines to acquire critical power parameters and status information. Dense sensor network: Adding more sensors in key areas improves the accuracy and coverage of data acquisition, enabling monitoring of smaller or dispersed power equipment and avoiding blind spots. Disaster recovery backup system: Setting up backup sensors or measuring devices at key measurement locations prevents data acquisition interruption due to single-point failures. The backup system can automatically take over the data acquisition function to ensure data continuity. Data transmission and communication: Establishing a reliable data transmission and communication system ensures that the data collected by the sensors can be transmitted to the centralized data management system in a timely and accurate manner. Technologies such as fiber optic networks and Internet of Things (IoT) communication can be used to ensure data reliability and security. High-reliability network architecture: Adopting a multi-layered, multi-path network architecture ensures continuous service in the event of failures or interruptions. For example, using redundant paths and multiple data transmission channels.

[0051] S3: Optimizes distributed power control and enhances rapid feedback capability.

[0052] Specifically, the steps to achieve optimized control of distributed power sources are as follows: Increase the scale of distributed clusters: Physically divide clusters based on dimensions such as power supply unit, equipment scale, user type, and business impact factors, planning large, medium, and small clusters. Flexible configuration allows for the allocation of high-importance business processes such as time-of-use pricing and parameter-based cost control into different clusters, ensuring data processing and business workflows for priority clusters and improving link efficiency. Conduct research on intelligent metering master stations based on distributed architecture, enabling flexible allocation and elastic expansion of basic resources according to business, storage, and computing needs, providing a solid foundation for time-of-use pricing and dedicated transformer cost control. Real-time data acquisition and communication: Establish a high-speed, reliable data acquisition system and communication network to obtain the real-time operating status and power parameters of distributed power sources. This can be achieved through smart meters, sensors, and communication systems. Real-time data acquisition and communication provide crucial feedback information for optimized control. Distributed intelligent control algorithms: Develop and apply distributed intelligent control algorithms to optimize the scheduling and control of distributed power sources. This includes optimal power allocation algorithms, cooperative control algorithms, and load balancing algorithms. Distributed intelligent control algorithms can make optimization decisions based on real-time data, achieving coordinated control of multiple distributed power sources. Network communication and protocols: Establishing suitable communication networks and protocols enables information exchange and collaborative control among distributed power sources. This can be achieved by using distributed communication protocols, such as Internet of Things (IoT) protocols, and communication standards, such as DLMS / COSEM.

[0053] Furthermore, optimized control of distributed power sources urgently requires improved feedback capabilities. As new energy sources, especially distributed power sources, gradually become the main force in power generation, achieving optimal control of high-penetration access to new energy sources under the premise of orderly electricity consumption and grid stability necessitates continuously improving rapid feedback capabilities.

[0054] Furthermore, enhancing rapid feedback capabilities includes the following steps: optimizing the hardware resource pool and software programs of the intelligent metering master station to ensure efficient data processing capabilities; using high-performance databases and data storage systems to meet the rapid read and write requirements of large-scale data; implementing parallel and distributed computing to improve data processing efficiency through multi-node collaborative work; introducing an advanced meter management system to achieve centralized monitoring and management of meters; implementing rigorous instruction execution result analysis to ensure the accurate execution of time-of-use pricing strategies; using standardized data transmission protocols to improve the reliability and compatibility of data synchronization; establishing a highly reliable network architecture, including redundant paths and backup channels, to prevent data interruption caused by single points of failure; and implementing a disaster recovery backup system to ensure rapid switching and maintain data continuity in emergency situations.

[0055] S4: Research the architecture and system of intelligent measurement system, construct intelligent measurement master station equipment and set up intelligent measurement infrastructure.

[0056] Preferably, in response to the new demands for intelligent measurement technology in the construction of a new power system, we should build intelligent measurement infrastructure adapted to the new power system, strengthen the basic theory of precision measurement, build sensor networks, and accelerate the construction of a new generation of electricity information collection system and electrical quantity transmission traceability system, so as to drive the operation of the new power system with an accurate, stable, high-speed interconnected, and widely perceptive intelligent measurement infrastructure.

[0057] Further research will be conducted on the architecture and system structure of intelligent measurement systems.

[0058] Specifically, this involves conducting information security risk analysis on scenarios such as the widespread and secure access of new energy sources, parameter settings for time-of-use pricing, and intelligent prepayment control for dedicated transformers, and identifying the security protection requirements for key equipment under different business scenarios. Based on the security risk analysis results, and employing domestic cryptographic, encryption authentication, and security monitoring technologies, a multi-level, multi-node, and end-to-end cryptographic security protection and security monitoring technical solution is proposed. A new power system intrinsic security immune system architecture compatible with the access of multiple energy sources such as photovoltaics, wind power, energy storage, and charging piles is designed, and an intelligent measurement cryptographic security protection system is constructed.

[0059] Furthermore, the intelligent metering system architecture and system include information security protection, which includes the following steps: analyzing security risks, including key equipment and systems in complex business scenarios such as new energy access, time-of-use pricing, and intelligent fee control, and identifying potential security threats and vulnerabilities; setting strong passwords for key equipment such as intelligent metering master station equipment and smart meters, and updating the passwords regularly; encrypting communication data using secure encryption algorithms, and implementing two-way authentication; implementing intrusion detection systems and security information and event management systems to promptly detect and respond to potential security threats; building an intrinsic security immune system and introducing intelligent algorithms and behavioral analysis techniques for automatic detection and response to abnormal behavior; using verified secure communication protocols to prevent data from being stolen or tampered with during transmission; designing secure data synchronization and sharing interfaces, adopting encryption mechanisms and secure authentication methods; strengthening the authentication mechanism, implementing strict access control, restricting user permissions, and preventing unauthorized access and operation.

[0060] Furthermore, the integration of new energy sources requires an evaluation of grid stability. The specific formula for the grid stability evaluation function is as follows:

[0061]

[0062] Where S represents the power grid stability evaluation function, S1 represents the energy stability in the power grid, S2 represents the security of the power grid, S3 represents the efficiency of the power grid, S4 represents the seamlessness of power grid operation, W1 represents the weighting factor of energy-related indicators in the evaluation, W2 represents the weighting factor of security-related indicators in the evaluation, W3 represents the weighting factor of efficiency-related indicators in the evaluation, and W4 represents the weighting factor of continuity-related indicators in the evaluation.

[0063] Furthermore, this paper constructs intelligent metering master station equipment using metering master station devices. Following this, it addresses a series of issues related to data acquisition and parameter settings after implementing security strategies. A meter management strategy is proposed, and research is conducted on secure and efficient data processing technologies to meet the needs of various new energy devices and diverse business operations. A novel power system endogenous security immune system architecture compatible with multiple energy sources such as photovoltaics, wind power, energy storage, and charging piles is designed, and an intelligent metering cryptographic security protection system is constructed.

[0064] Specifically, the construction of intelligent metering master station equipment includes the following steps: Researching the business processes for secure and efficient data processing and flexible parameter settings of the metering master station to support business scenarios such as new energy equipment access, time-of-use pricing strategy adjustment, and dedicated transformer fee control transformation; optimizing the hardware resource pool and software programs to improve data processing and parameter setting efficiency through the intelligent metering master station; developing secure and efficient communication protocol schemes for scenarios such as new energy equipment access, time-of-use pricing strategy adjustment, and dedicated transformer fee control transformation based on compliant and secure protocols; researching key technologies for automatic data synchronization and sharing interfaces across multiple business scenarios in the intelligent metering system, including new energy equipment access, time-of-use pricing strategy adjustment, and dedicated transformer fee control transformation; summarizing the research results, and constructing the intelligent metering master station equipment.

[0065] Furthermore, the smart metering infrastructure includes smart meters. Setting up smart meters involves the following steps: time synchronization of prepaid meters, including meter time retrieval, authentication, and meter time settings; remote setting of time-of-use tariffs for meters, implementing authentication and parameter update processes, and operating the meters via transparent transmission; after successful setup, the smart metering master station system periodically retrieves time-of-use tariff data from the electricity meter daily via terminal relay commands, including tariff effective time, time period configuration, and switching events; and analyzes the command execution results, displaying and statistically analyzing the overall execution status of commands related to new energy access, dedicated transformer prepaid control, and time-of-use tariff control.

[0066] Furthermore, this embodiment also provides a novel power system construction system based on intelligent measurement, including a fluctuation reduction unit for reducing grid volatility, including multi-energy balance management, power prediction and regulation, harmonic and transient control, load adjustment and optimization, and the application of energy storage systems; a dynamic balancing unit for maintaining dynamic balance between power sources, grid, load, and storage, generating panoramic sensing demand; an optimization unit for optimizing distributed power source control and improving rapid feedback capabilities; and an equipment construction unit for studying the architecture and system of the intelligent measurement system, constructing intelligent measurement master station equipment, and setting up the intelligent measurement infrastructure.

[0067] This embodiment also provides a computer device applicable to the construction method of a novel power system based on intelligent measurement, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the construction method of a novel power system based on intelligent measurement as proposed in the above embodiment.

[0068] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0069] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, it implements the novel power system construction method based on intelligent measurement as proposed in the above embodiments.

[0070] In summary, this embodiment addresses the new demands of novel power systems on measurement technology by reducing grid volatility, achieving seamless measurement deployment, and optimizing distributed power source control. This improves stability and security monitoring during renewable energy integration, as well as data processing efficiency. Furthermore, by deploying intelligent measurement master station equipment and smart meters within the intelligent measurement system architecture, it ensures information security protection in complex smart fee control scenarios and supports time-of-use pricing. Compared to existing technologies, this embodiment offers advantages such as stable renewable energy integration, enhanced information security, and high data processing efficiency.

[0071] Example 2

[0072] Reference Figures 1-3 This is the second embodiment of the present invention, which provides a novel power system construction method based on intelligent measurement. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0073] Specifically, the implementation steps are as follows: Ensure all necessary equipment and sensors for the experiment are in place and the sensor network is established. Ensure the intelligent measurement master station equipment is configured and connected to key locations in the power system. Monitor and manage the injection and consumption of different energy sources through the intelligent measurement system to achieve supply and demand balance. Schedule and coordinate different energy sources, including new and traditional energy sources, to reduce sudden power and voltage fluctuations. Collect various data during the experiment, including key parameters such as power and voltage fluctuations in the power system. Analyze and process this data in real time using the intelligent measurement system to assess the stability and efficiency of the power system.

[0074] Table 1 shows a comparison of data before and after the application of the intelligent measurement system.

[0075]

[0076] Specifically, the table above clearly shows the changes and advantages. We focus on the reduction in grid volatility. The table shows that before the application of the smart metering system, grid volatility was high, while after its implementation, it significantly decreased. This is mainly due to the application of multi-energy balance management, power forecasting and regulation, harmonic and transient control, load adjustment and optimization, and energy storage systems. Through the rational planning and management of the injection and consumption of different energy sources, and the utilization of advanced power forecasting technology and harmonic control measures, grid supply and demand balance is achieved, and power system supply and demand fluctuations and voltage fluctuations are effectively reduced.

[0077] Furthermore, the application of smart metering systems has also achieved significant results in maintaining a dynamic balance between power generation, grid, load, and storage. Data shows that before the application, the power grid experienced frequent changes. After the application, through the smart metering system's panoramic perception of demand and real-time data collection, rapid linkage was achieved among power generation, grid, load, and storage elements. The power grid change process was better controlled, and users were able to obtain stable services and connectivity.

[0078] Furthermore, the application of intelligent measurement systems has brought significant benefits to the optimization of distributed power source control. By optimizing the control of distributed power sources and improving rapid feedback capabilities, the power system's ability to coordinate and control distributed power sources has been significantly enhanced, enabling better integration of new energy sources and grid stability assessment.

[0079] Furthermore, significant progress has been made in the research of smart metering system architecture and system design, as well as in the application of smart metering systems. Through the construction of smart metering infrastructure and the installation of smart meters, the security and stability of the power system have been significantly improved, and the evaluation of grid stability has been better realized.

[0080] In summary, the application of the intelligent measurement system of this invention has led to significant improvements in many aspects of the power system, providing important support for the safe and stable operation of the power system.

[0081] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A novel power system construction method based on intelligent measurement, characterized in that: include, Reduce grid volatility, including multi-energy balance management, power forecasting and regulation, harmonic and transient control, load adjustment and optimization, and the application of energy storage systems; Maintaining a dynamic balance between power generation, grid, load, and storage generates a demand for panoramic perception. Optimize distributed power supply control and improve rapid feedback capability; This study investigates the architecture and system structure of intelligent measurement systems, constructs intelligent measurement master station equipment, and sets up intelligent measurement infrastructure.

2. The novel power system construction method based on intelligent measurement as described in claim 1, characterized in that: The reduction of power grid volatility also includes: To schedule and coordinate new energy sources and traditional energy sources; By combining demand-side response and energy storage system resources, the supply and demand balance of the power system can be adjusted; Install harmonic filters and actively intervene in the power grid harmonic configuration; Store excess energy during peak periods of new energy injection and release energy during peak periods of electricity demand.

3. The novel power system construction method based on intelligent measurement as described in claim 2, characterized in that: The predicted output of new energy sources includes the following steps: Real-time acquisition of output power and environmental data from new energy generators; Extract factors such as tilt angle, azimuth angle, light intensity, and temperature of photovoltaic panels, and wind speed and wind direction of wind turbines; The ARIMA prediction model is used, and historical data is used to train the model. Output the prediction results and evaluate them.

4. The novel power system construction method based on intelligent measurement as described in claim 3, characterized in that: The specific formula for the ARIMA prediction model is as follows: in, Let φ represent the predicted output of new energy sources at time t, where c is a constant and φ is a variable. i and θ j Let γ represent the autoregressive and moving average coefficients of the model, respectively. k Y represents the difference coefficients of the model. t-i ΔY represents the observed value at time ti. t-k ε represents the first difference of time tk. t-j Let ε represent the residual at time tj, and ε represent the prediction error at time t.

5. The novel power system construction method based on intelligent measurement as described in claim 3, characterized in that: The root mean square error (RMSE) is used as the evaluation index to assess the prediction results. The specific formula for RMSE is as follows: Where RMSE represents the root mean square error, Y i Represents the observed value. This represents the corresponding predicted value, where n represents the sample size, and γ represents the predicted value. k The difference coefficients of the model, ΔY i-k This represents the first-order difference value of time ik.

6. The novel power system construction method based on intelligent measurement as described in claim 1, characterized in that: The intelligent measurement system architecture and system include information security protection, which includes the following steps: Analyze security risks, including key equipment and systems in complex business scenarios such as new energy access, time-of-use pricing, and intelligent fee control, and identify potential security threats and vulnerabilities; Set passwords for the smart metering master station equipment and key smart meter equipment, and update the passwords regularly; Encryption algorithms are used to encrypt communication data, while two-way authentication is implemented. Automatically detect and respond to abnormal behavior; Design a data synchronization and sharing interface using a proven secure communication protocol, and employ encryption mechanisms and secure authentication methods. Implement access control to restrict user permissions and prevent unauthorized access and operations.

7. The novel power system construction method based on intelligent measurement as described in claim 6, characterized in that: The integration of new energy sources requires an evaluation of grid stability. The specific formula for the grid stability evaluation function is as follows: Where S represents the power grid stability evaluation function, S1 represents the energy stability in the power grid, S2 represents the security of the power grid, S3 represents the efficiency of the power grid, S4 represents the seamlessness of power grid operation, W1 represents the weighting factor of energy-related indicators in the evaluation, W2 represents the weighting factor of security-related indicators in the evaluation, W3 represents the weighting factor of efficiency-related indicators in the evaluation, and W4 represents the weighting factor of continuity-related indicators in the evaluation.

8. A novel power system construction system based on intelligent measurement, based on the novel power system construction method based on intelligent measurement according to any one of claims 1 to 7, characterized in that: It also includes, Fluctuation reduction units are used to reduce the volatility of the power grid, including multi-energy balance management, power forecasting and regulation, harmonic and transient control, load adjustment and optimization, and the application of energy storage systems. The dynamic balancing unit is used to maintain a dynamic balance between the source, grid, load, and storage, generating panoramic perception requirements. An optimization unit is used to optimize distributed power supply control and improve rapid feedback capability; The equipment construction unit is used to study the architecture and system of intelligent measurement systems, build intelligent measurement master station equipment, and set up intelligent measurement infrastructure.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the novel power system construction method based on intelligent measurement as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the novel power system construction method based on intelligent measurement as described in any one of claims 1 to 7.

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