As one of the fastest growing renewable energy sources, the integration of solar power
poses great challenges to power systems due to its variable and uncertain nature. As an …

In the active distribution networks (ADNs), the emerging trend of high penetration of
sustainable energy sources such as wind turbines, photovoltaics, and the forthcoming …

The increasing presence of renewable distributed generation (DG) units such as
photovoltaic and wind power generation is a major challenge for the suitable operation of …

This paper proposes a novel hybrid optimization technique based on a machine learning
(ML) approach and transient search optimization (TSO) to solve the optimal power flow …

Different from most studies only incorporating economic aspect into operation scheduling,
this paper develops a novel network-constrained framework that can address both economic …

The rapid increase of distributed energy resources (DERs) installation at residential and
commercial levels can pose significant technical issues on the voltage levels and capacity of …

Linear optimal power flow (OPF) formulations are powerful tools applied to a large number
of problems in power systems, eg, economic dispatch, expansion planning, state estimation …

In the modern power system, the uncertainties such as renewable generation and electric
vehicles are usually modelled as either interval or probabilistic variables for the power flow …

Increased penetration of low‐carbon technologies, such as residential photovoltaic systems,
electric vehicles, and batteries, can potentially cause voltage quality issues in distribution …

In this paper, an improved approximate dynamic programming (IADP)-based limited-iterative
decentralized algorithm is proposed for solving the optimal power flow (OPF) problem of …