Nowadays, the emission of CO 2 has become a serious issue around the globe, upon which
the Earth's temperature has dramatically risen. In this concern, a multi-energy CHP-based …

The growing renewable integration significantly enhances the seasonal electricity
imbalance of the electric energy system. However, traditional power system planning …

In this paper, we develop a distributionally robust chance-constrained formulation of the
Optimal Power Flow problem (OPF) whereby the system operator can leverage contextual …

Wind curtailment (WC) and load shedding (LS) are indispensable measures to mitigate the
operational risk in high-renewable power systems. Moreover, WC and LS schemes should …

Uncertainties of the volatile renewable generations require more flexible reserve capacity
and incur additional operational cost named as “cost of uncertainties”. The cost of …

We present a robust approximation of joint chance constrained DC optimal power flow in
combination with a model-based prediction of uncertain power supply via R-vine copulas. It …

Power flow linearization has long been a fundamental tool in both academia and industry.
While physics-driven power flow linearization (P-PFL) methods are relatively accessible …

Parameters involved in the formulation of optimization problems are often partially unknown
or random. A popular way to mitigate the effect of uncertainty is using joint chance …

Optimal Power flow (OPF) problem is a nonlinear nonconvex optimization problem. It faces
three challenges when solving the algorithm based on traditional optimization methods …

This paper focuses on the global chance-constrained optimal power flow problem of a multi-
regional interconnected grid. In this global problem, however, multiple regional independent …