This paper focuses on distribution systems featuring renewable energy sources (RESs) and
energy storage systems, and presents an AC optimal power flow (OPF) approach to optimize …

This study proposes a deep reinforcement learning (DRL) based approach to analyze the
optimal power flow (OPF) of distribution networks (DNs) embedded with renewable energy …

Increasing the use of variable renewable electricity (VRE) such as solar and wind power will
impose major challenges to existing energy systems. The increased variability needs to be …

Power systems operation has been traditionally addressed by deterministic and centralized
approaches because of their low-variation behavior. However, current tendencies have …

This work presents an optimization framework to aggregate the power and energy
flexibilities in an interconnected power distribution systems. The aggregation framework is …

Solar and wind power have recently become a potential option in power systems and act
significantly to meet load penetration demands. The present growth of such renewable …

We propose a data-driven method to solve a stochastic optimal power flow (OPF) problem
based on limited information about forecast error distributions. The objective is to determine …

This paper presents the use of proposed Intelligent Multi-Agent System (MAS) for Power
Grid Communication. The MAS technology enhances the data communication system in the …

Given the increased penetration of smart grid technologies, distribution system operators are
obliged to consider in their planning stage both the increased uncertainty introduced by non …

This paper presents a new method to determine the susceptances of a reduced transmission
network representation by using nonlinear optimization. We use Power Transfer Distribution …