Development of an Online Power Distribution Information Management System

Abstract

This research focuses on designing and implementing an Online Power Distribution Information Management System (PIMS) to address the growing complexity and demands of modern power grids. Traditional manual approaches to power distribution often lead to inefficient operations, delayed fault detection, and poor data management. By integrating real-time monitoring, data analytics, and secure online platforms, the proposed system significantly enhances reliability, reduces downtime, and improves overall operational efficiency. Employing the Structured Systems Analysis and Design Methodology (SSADM), the study systematically gathered requirements, modeled system functionalities, and developed a robust architecture comprising a user-friendly interface, scalable database management, and strong security protocols. Key components include an analytics engine for load forecasting and fault prediction, as well as seamless integration with existing systems such as SCADA. Evaluation metrics demonstrate the system’s effectiveness in swiftly identifying network anomalies—achieving a 97% fault detection accuracy—and reducing outage durations by 30% compared to older solutions. Advanced analytics achieved predictive accuracies above 95%, thereby optimizing resource allocation and informing proactive maintenance. Real-time data capture and storage enable operators to promptly respond to changing conditions, while stringent security measures and encryption protocols bolster cyber-resilience. The Online Power Distribution Information Management System paves the way for a more sustainable, efficient, and secure power distribution framework, positioning utilities to better handle emerging challenges such as renewable energy integration and growing consumer demands.