Safe Multi-Agent Collaborative Learning for Networked Grid Operation Under Power Network Coupling Constraints
This paper formulate networked grid operation as a constrained decentralized partially observable Markov decision process and proposes a safe multi-agent collaborative learning framework that aims to reduce operating cost, load shedding, renewable curtailment, and carbon-relevant corrective burden.