Electric power systems and the companies and customers that interact with them are
experiencing increasing levels of uncertainty due to factors such as renewable energy …

Integration of different energy infrastructures (heat, electricity and gas vectors) offers great
potential for better managing energy sources, reducing consumption and waste as well as …

Higher levels of renewable electricity generation increase uncertainty in power system
operation. To ensure secure system operation, new tools that account for this uncertainty are …

We propose a data-based method to solve a multi-stage stochastic optimal power flow (OPF)
problem based on limited information about forecast error distributions. The framework …

Uncertainties from deepening penetration of renewable energy resources have posed
critical challenges to the secure and reliable operations of future electric grids. Among …

To address the uncertain output of distributed generators for reactive power optimization in
active distribution networks, the stochastic programming model is widely used. The model is …

With substantially increasing penetration levels of wind power, electric power system
flexibility is needed to address the variability and uncertainty of wind power output. Thus, it …

Electric energy generation from renewable energy sources is generally non-dispatchable
due to its intrinsic volatility. Therefore, its integration into electricity markets and in power …

A smart grid is a typical cyber-physical system (CPS). Cyber networks and physical networks
of smart grids have similar topologies and interdependent characteristics, which may induce …

High penetration of renewable energy sources and the increasing share of stochastic loads
require the explicit representation of uncertainty in tools such as the optimal power flow …