Computer Sciences and Information Technology
Title : | Edge Computing Enabled Active Distribution Network Monitoring Considering Cyber-Threats |
Area of research : | Computer Sciences and Information Technology |
Principal Investigator : | Dr. Sreenath JG, Indian Institute Of Technology (IIT) Guwahati, Assam |
Timeline Start Year : | 2022 |
Timeline End Year : | 2024 |
Contact info : | sreenathjg@iitg.ac.in |
Equipments : | Workstation |
Details
Executive Summary : | The increasing penetration of renewable sources has transformed distribution networks into active distribution networks (ADNs), necessitating the use of large-bandwidth and low-latency communication networks. The 5G network has the potential to fulfill these requirements, and this proposal focuses on how edge computing technology can be leveraged for efficient monitoring and control of ADNs. Massive machine-type communications (MMTC) play a crucial role in upcoming 5G networks, allowing for the large-scale deployment of advanced metering infrastructure (AMI) and other monitoring devices within ADNs. This results in large volumes of data that need to be processed using distributed computing algorithms. With the increasing deployment of measurement devices in ADNs, distribution system state estimator (DSSE) implementation is becoming possible. Novel network architecture, like mobile edge computing (MEC), can be utilized for distributed data aggregation and processing at the distribution level. The low latency inherent to 5G networks will aid distribution systems in making localized decisions. Innovative decentralized DSSE algorithms are needed to overcome challenges such as incorporating large numbers of measurements with high refresh rates and addressing interoperability issues. The proposed DSSE algorithm will utilize processed AMI data from the meter data management system, RTU data, DS PMUs, and other non-conventional measurements. The proposed DSSE algorithm will address challenges such as incomplete observability, highly unbalanced phases, high R/X ratio of lines, unbalanced loads, and untransposed lines with asymmetrical parameters. |
Total Budget (INR): | 7,80,520 |
Organizations involved