Industrial Process Automation Using Programmable Switching
Mr. Suparshav Sudhir Birnale1, Mr. Yash G. Apte2, Mr. Vaibhav Shankar Chinde3,
Ms. P . Y . G o n d h a l i 4
Electrical Engineering Department, Sanjay Ghodawat Institute, Atigre, India
Abstract:
Load shedding, a common method for balancing electricity supply and demand, often causes disruptions that impact daily life and economic activities. Effective management of load shedding schedules is critical to minimizing its adverse effects. A programmable interface offers a flexible and user-centric solution to manage load shedding times efficiently. This system integrates programmable controllers and user-friendly interfaces to provide real-time schedule management. The programmable interface enables utility providers and end-users to dynamically adapt to changes in energy demand, ensuring equitable and predictable power distribution. Core features include automated notifications, priority-based scheduling, and customizable configurations to meet diverse requirements. The proposed solution employs IoT-enabled devices and software applications to enhance communication between utility providers and consumers. By leveraging data analytics, the system predicts peak demand periods, allocates resources efficiently, and adjusts schedules accordingly. Consumers can input their preferences, such as critical operation times, through an intuitive interface, allowing for more personalized energy management. Additionally, this interface supports integration with smart meters and renewable energy sources, promoting sustainability and reducing dependency on conventional energy grids. It empowers stakeholders to make informed decisions, optimize power usage, and mitigate the inconvenience caused by unplanned outages. The implementation of a programmable load shedding interface promises enhanced transparency, reliability, and consumer satisfaction. It serves as a significant step toward modernizing energy management systems, contributing to smarter and more resilient power distribution networks.
Keywords: Interface, Eenergy, load shedding, management, programmable, demand, power, schedules, critical
