The proliferation of solar power plants has begun to have an impact on utility grid operation,
stability, and security. As a result, several governments have developed additional …

Distribution systems are integrating a growing number of distributed energy resources and
converter-interfaced generators to form active distribution networks (ADNs). Numerous …

With the increase of energy demand and the continuous development of renewable energy
technology, active distribution networks have become increasingly important. However, the …

Fully exploiting the reactive power support capability of the distributed photovoltaic power
supply is helpful to solve the problems of voltage fluctuation, voltage overlimit and new …

Maintaining energy balance and economical operation is significant for energy hub (EH)
which serves as the central component. Implementing real‐time regulation for heating and …

The large-scale penetration of photovoltaic (PV) units and controllable loads, such as
electric vehicles (EVs) render the distribution networks prone to frequent, uncertain, and …

The adoption of Electric Vehicles (EVs) and solar Photovoltaic (PV) generation by
households is rapidly and significantly increasing. Utilities are facing the challenge of …

A residual deep reinforcement learning (RDRL) based on an approximate-model-driven
optimization approach is proposed for inverter-based volt-var control (IB-VVC) in active …

Deep reinforcement learning (DRL) has proven promising for addressing the problems
brought by the uncertainties of renewable energy sources in the volt/var control (VVC) …

Distributed generation (DG) systems are becoming more popular due to several benefits
such as clean energy, decentralization, and cost effectiveness. Because the majority of …