Pinaagi nga Disenyo sa Pintas nga Sistema sa Pag-monitor sa Kuryente Alang sa Distribuidong Generasyon

Kontra sa backdrop sa global nga transition sa energy, ang distributed generation gitawag na usa ka importante nga komponente sa power supply. Tungod sa patuloy nga pag-advance sa renewable energy technologies, ang widespread nga pag-adopt sa mga distributed energy sources sama sa solar ug wind power miabot og bag-ong momentum alang sa pag-realize sa low-carbon economy. Kini nga modelo molambo ang energy utilization efficiency, gibawasan ang transmission losses, ug gibuto ang flexibility ug reliability sa power systems.

Sumala sa power system theory, ang grid reliability ug stability nahimutang sa effective management sa uban-uban nga generation sources. Ang complexity sa moderno nga power systems naghimo og mas precise nga control ug dispatch sa mga distributed generation environments—espesyalmente sa daghan nga load fluctuations ug resource uncertainty. Aron mapasabot kini nga mga challenges, adunay mga intelligent power monitoring systems nga mipalit, gi-usab ang advanced information ug communication technologies aron mahimo ang real-time monitoring ug dynamic adjustment sa power resources. Kini nga paper mag-explore sa design sa intelligent power monitoring systems ug optimized control sa distributed generation, nag-aim sa contribution sa energy transition ug achievement sa sustainable development goals.

1. Power Monitoring
Ang power monitoring usa ka critical nga approach sa real-time supervision, data acquisition, ug analysis sa power system operations, nag-aim sa pag-ensure sa safety, reliability, ug efficiency sa power systems. Ang power monitoring system primarily composed sa data acquisition units, data transmission networks, monitoring ug management platforms, ug alarm ug response mechanisms. Ang data acquisition units mag-collect og operational data gikan sa uban-uban nga power equipment—sama sa generators, transformers, ug distribution devices—kasama ang key parameters sama sa voltage, current, frequency, ug power factor.

Ang gikolekta nga data pagkatapos ay i-transmit pinaagi sa stable ug secure nga communication networks (e.g., fiber optics, wireless transmission) sa monitoring center. Ang efficient nga data transmission network nag-ensure sa timeliness ug integrity sa information, naghatag og reliable nga foundation sa subsequent analysis. Ang monitoring ug management platform mag-conduct og real-time monitoring ug analysis sa gikolekta nga data, gi-usab ang teknolohiya sama sa big data analytics ug cloud computing aron maghatag og visualized interfaces ug decision support, nakatubig sa operators sa pag-make sa effective decisions.

2.System Design

2.1 System Architecture

Ang architecture sa intelligent power monitoring system makita sa Table 1.

Sa architecture sa intelligent power monitoring system, ang functions sa bawg layer complement sa ilang respective nga key technologies, forming an efficient nga operational framework. Ang perception layer mag-acquire og real-time data pinaagi sa sensors ug smart meters, serving as the foundation ug prerequisite sa system functionality. Ang accuracy ug timeliness sa data directly affect sa quality sa subsequent analysis.

Ang network layer acts as a data transmission hub, utilizing advanced technologies such as fiber optics ug wireless communication aron sigurado ang data ma-transmit quickly ug reliably sa monitoring center. Kini usahay siguro ang data integrity ug security, preventing loss o tampering during transmission. Ang application layer responsible sa in-depth data analysis ug visualization, leveraging advanced data processing algorithms ug big data technologies aron transform massive datasets into valuable insights, supporting managers sa making precise decisions.

2.2 Hardware Selection

Ang system hardware components ug ilang main performance parameters makita sa Table 2.

2.3 Data Communication Strategy

2.3.1 Data Collection and Transmission

Ang data collection ug transmission mao ang core components sa intelligent power monitoring system, directly influencing sa system's real-time performance ug effectiveness. Sa proseso, ang uban-uban nga sensors ug monitoring devices sa perception layer mag-collect og key operational data gikan sa power system—sama sa voltage, current, power, ug frequency—ug operational status information gikan sa distributed generation sources.

Aron sigurado ang data accuracy, ang acquisition devices kinahanglan adunay high precision ug high reliability [10]. Pagkatapos sa collection, ang data i-transmit sa network layer, primarily using modern communication technologies sama sa fiber optic communication, wireless communication, ug Internet of Things (IoT) technologies. Ang fiber optic communication, with its high bandwidth ug low latency, suitable sa large-scale data transmission scenarios. Ang wireless communication offers flexibility ug convenience, effectively covering uban-uban nga monitoring points pinaagi sa wireless signals.

2.3.2 Security Measures

Sa intelligent power monitoring systems, ang security measures sama sa data encryption, network security protection, ug access control form a multi-layered security framework. Kini nga framework effectively mitigates external attacks ug internal risks, laying a secure foundation for the implementation sa intelligent power management. Implementing strong encryption algorithms during data transmission prevents data from being intercepted or tampered with. The use of symmetric encryption algorithms such as the Advanced Encryption Standard (AES) ensures that only users with the correct decryption key can access the data, thereby protecting the integrity ug confidentiality sa sensitive information ug ensuring that data remains unaltered during transmission. Regarding network security protection, the interconnection sa multiple devices ug systems significantly increases the risk sa cyberattacks. Therefore, deploying security devices such as firewalls, Intrusion Detection Systems (IDS), ug Intrusion Prevention Systems (IPS) enables real-time monitoring sa network traffic, identification, ug blocking sa suspicious activities, preventing malicious attacks from affecting the system ug enhancing overall security. User access control ug authentication mechanisms, such as Role-Based Access Control (RBAC), ensure that only authorized users can access specific system functions ug data. This reduces the risk sa internal data leaks, improves system security, ug effectively prevents unauthorized access.

3. Research Methodology

3.1 Research Design

Kini nga study adopts a combined approach sa experimental ug simulation methods, integrating real-world electricity market data sa simulated power demand aron construct multiple experimental scenarios.

Kini nga scenarios enable comprehensive testing ug evaluation sa system. Sa experimental design, ang system performance evaluation primarily focuses sa metrics sama sa scheduling efficiency, resource utilization, ug response time. By configuring different loads, resource allocations, ug generation modes, ang system’s performance under various operating conditions is simulated.Security evaluation, on the other hand, focuses sa system's resilience against unexpected events such as cyberattacks, system failures, ug data breaches.

Aron comprehensively assess the performance sa intelligent power monitoring system, designed ang scientific evaluation framework ug indicator system, encompassing performance metrics—including response time, scheduling success rate, resource utilization, ug system stability—and security metrics—such as intrusion detection rate, vulnerability patching time, ug data encryption strength.

3.2 Performance Evaluation

Ang performance evaluation sa intelligent power monitoring system sa optimized control sa distributed generation makita sa Table 3.

Ang security evaluation metrics sa Table 4 provide comprehensive protective measures sa intelligent power monitoring system. Kini nga metrics cover aspects sama sa data encryption, intrusion detection, access control, vulnerability remediation, ug malware protection, ensuring the system can effectively respond to potential threats including cyberattacks, data breaches, ug malicious software.

For example, ang data encryption level requires the use sa AES-256 or higher encryption standards aron ensure the security sa data transmission ug storage; ang intrusion detection rate target is above 95%, ensuring the system can promptly identify ug respond sa abnormal access or attack behaviors. Access control effectiveness must achieve 100% compliance, ensuring user permission management strictly adheres sa security policies. Ang target sa security vulnerability remediation time is within 24 hours, enabling rapid resolution sa identified vulnerabilities.

4. Experimental Results

4.1 Performance Test Results

Ang performance test results makita sa Table 5.

Sa kini nga performance test, tanang system metrics performed well, meeting or exceeding the preset target values. Ang system’s response time was 1.8 s, satisfying the <2.0 s requirement, indicating high scheduling efficiency. Ang data processing speed reached 2,200 records per second, surpassing the 2,000 records/s requirement, demonstrating strong real-time data processing capability. System availability was 99.98%, higher than the 99.95% target, reflecting excellent stability ug reliability. Energy loss rate was 2.5%, below the 3.0% target, optimizing power transmission efficiency. Optimization scheduling success rate reached 92%, effectively supporting the system's dispatch objectives. Fault recovery time ug resource utilization were 4 minutes ug 87%, respectively—both outperforming the established standards—demonstrating the system’s fast recovery capability under faults ug efficient resource utilization. Ang results indicate that the intelligent power monitoring system exhibits strong overall performance sa optimized control sa distributed generation.

4.2 Security Test Results

Ang security test results makita sa Table 6.

Sa security testing, ang system demonstrated a high level sa protection, with all security metrics meeting or exceeding the expected targets. Ang data encryption level employs the AES-256 algorithm, complying with the highest standards ug ensuring the security sa data transmission ug storage. Ang intrusion detection rate reached 97%, surpassing the 95% requirement, indicating the system’s ability sa effectively identify ug respond sa potential cyberattacks.

Ang access control policy also performed excellently, with 100% compliance sa all user permissions ug access behaviors. Ang system achieved vulnerability remediation within 18 hours after detection, significantly faster than the 24-hour target, enhancing its responsiveness sa emerging security threats. Additionally, testing sa system’s data backup ug recovery strategy showed that both backup ug recovery processes were completed successfully at a 100% success rate, further improving data security ug business continuity. Ang intelligent power monitoring system performs exceptionally well sa terms sa security, demonstrating robust ug effective protection capabilities.