Agents for Optimizing Power Distribution Systems – Is this the Future?

Agents for Optimizing Power Distribution Systems – Is this the Future? 

Blog, Journal article

The Optimal Power Flow (OPF), as an optimization problem, is indispensable for the economic and secure operation of power distribution networks. The OPF is crucial for achieving a multitude of operational objectives including:   Solution techniques for the OPF problem have traditionally gravitated around classical deterministic and stochastic mathematical programming methods. These methods allow practitioners to…

Lines of many coloured light

A Hybrid Imitation-Reinforcement Learning Framework for Optimal Operation of Soft Open Points in Unbalanced Distribution Networks

Journal article

This paper proposes a hybrid deep actor-critic framework for the optimal operation of a phase-changing soft open point (PCSOP) in an unbalanced distribution network. The framework combines algorithmic features of off-policy reinforcement learning and imitation learning. The proposed method comprises a policy-guiding module based on the PCSOP physics and an adaptive dynamic experience replay buffer.…