In urban drainage systems (UDS), a proven method for reducing the combined sewer overflow (CSO) pollution is real-time control (RTC) based on model predictive (MPC). MPC methodologies RTC of UDSs in literature rely computation optimal strategies deterministic rain forecast. However, reality, uncertainties exist rainfall forecasts which affect severely accuracy computing strategies. Under this c...

Inflexible combined heat and power (CHP) plants uncertain wind production result in excess distribution networks, which leads to inverse flow challenging grid operations. Power-to-X facilities such as electrolysers electric boilers can offer extra flexibility the integrated energy system. In this regard, we aim jointly determine optimal facility sizing system operations study. To account for un...

It is challenging to generate optimal trajectories for nonlinear dynamic systems under external disturbances. In this brief, we present a novel approach planning safe of the chance-constrained trajectory optimization problems with nonconvex constraints. First, chance constraints are handled by deterministic ones which show its availability. We derive an iterative convex method solve control pro...

We study sample average approximations (SAA) of chance constrained programs. SAA methods typically approximate the actual distribution in constraint using an empirical constructed from random samples assumed to be independent and identically distributed according distribution. In this paper, we consider a nonstationary variant problem, where are independently drawn sequential fashion unknown po...

Increasing integration of renewable generation poses significant challenges to ensure robustness guarantees in real-time energy system decision-making. This work aims develop a robust optimal transmission switching (OTS) framework that can effectively relieve grid congestion and mitigate curtailment. We formulate two-stage distributionally chance-constrained (DRCC) problem assures limited const...

In this article, a fast chance-constrained trajectory generation strategy incorporating convex optimization and approximation of chance constraints is designed so as to solve the unmanned vehicle path planning problem. A path-length-optimal model constructed with consideration pitch angle constraint, curvature radius probabilistic control actuation collision avoidance constraint. Subsequently, ...

In the paper we consider the chance-constrained version of an affinely perturbed linear matrix inequality (LMI) constraint, assuming the primitive perturbations to be independent with light-tail distributions (e.g., bounded or Gaussian). Constraints of this type, playing a central role in chance-constrained linear/conic quadratic/semidefinite programming, are typically computationally intractab...