Optimization algorithms play a significant role in the optimal solution of various problems in
Smart Grid. Distributed algorithms are of considerable research interest as these algorithms …

The distributed Volt/Var control (VVC) methods have been widely studied for active
distribution networks (ADNs), which is based on perfect model and real-time P2P …

Model-based Vol/VAR optimization method is widely used to eliminate voltage violations
and reduce network losses. However, the parameters of active distribution networks (ADNs) …

The deployment of renewable energy in power systems may raise serious voltage
instabilities. Electric vehicles (EVs), owing to their mobility and flexibility characteristics, can …

This paper proposes an asynchronous distributed leader-follower control method to achieve
conservation voltage reduction (CVR) in three-phase unbalanced distribution systems by …

While many multi-agent deep reinforcement learning (MADRL) algorithms have been
implemented for active voltage control (AVC) in power distribution systems, the safety of …

This paper proposes a data-driven and fully distributed volt/var control (VVC) method for
active distribution networks (ADNs) with multiple virtual power plants (VPPs), which is model …

The cloud-edge collaboration architecture has been widely adopted for distributed Volt-VAR
control (VVC) problems in active distribution networks (ADNs). To alleviate the computation …

In Volt/Var control (VVC) of active distribution networks (ADNs), both slow timescale discrete
devices (STDDs, eg on-load tap changers) and fast timescale continuous devices (FTCDs …

Increasing penetration of direct current (dc) based distributed energy resources and dc
loads in the conventional alternating current (ac) network necessitate the deployment of …