Q-REINFORCEMENT LEARNING BASED MULTI-AGENT BELLMANFORD ROUTING ALGORITHM FOR SMART MICROGRID COMMUNICATION NETWORK

• Main Author: SINGH, NIHARIKA
• Format: Thesis
• Language: English
• Published: 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://utpedia.utp.edu.my/id/eprint/24718/1/NIHARIKA%20SINGH%2017005183.pdf; http://utpedia.utp.edu.my/id/eprint/24718/

Microgrids help to achieve power balance and energy allocation optimality for the defined load networks. The communication network in microgrids is a very complex and time-variant system that needs to reserve network resources to count on several possible situations of failure resulting in limited r...