Power systems optimization under uncertainty: A review of methods and applications
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 …
experiencing increasing levels of uncertainty due to factors such as renewable energy …
Impact of COVID-19 on IoT adoption in healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT
COVID-19 has disrupted normal life and has enforced a substantial change in the policies,
priorities and activities of individuals, organisations and governments. These changes are …
priorities and activities of individuals, organisations and governments. These changes are …
Stochastic model predictive control: An overview and perspectives for future research
A Mesbah - IEEE Control Systems Magazine, 2016 - ieeexplore.ieee.org
Model predictive control (MPC) has demonstrated exceptional success for the high-
performance control of complex systems. The conceptual simplicity of MPC as well as its …
performance control of complex systems. The conceptual simplicity of MPC as well as its …
Model predictive control: Recent developments and future promise
DQ Mayne - Automatica, 2014 - Elsevier
Model predictive control: Recent developments and future promise - ScienceDirect Skip to main
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[图书][B] Lectures on stochastic programming: modeling and theory
This is a substantial revision of the previous edition with added new material. The
presentation of Chapter 6 is updated. In particular the Interchangeability Principle for risk …
presentation of Chapter 6 is updated. In particular the Interchangeability Principle for risk …
Critical review of recent advances and further developments needed in AC optimal power flow
F Capitanescu - Electric Power Systems Research, 2016 - Elsevier
This paper is a sequel to and builds upon the survey paper on optimal power flow (OPF)[4]. It
provides an up-to-date critical review of the recent major advancements in the OPF state-of …
provides an up-to-date critical review of the recent major advancements in the OPF state-of …
Chance-constrained AC optimal power flow: Reformulations and efficient algorithms
L Roald, G Andersson - IEEE Transactions on Power Systems, 2017 - ieeexplore.ieee.org
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 …
operation. To ensure secure system operation, new tools that account for this uncertainty are …
On distributionally robust chance constrained programs with Wasserstein distance
W Xie - Mathematical Programming, 2021 - Springer
This paper studies a distributionally robust chance constrained program (DRCCP) with
Wasserstein ambiguity set, where the uncertain constraints should be satisfied with a …
Wasserstein ambiguity set, where the uncertain constraints should be satisfied with a …
Distributionally robust joint chance constraints with second-order moment information
We develop tractable semidefinite programming based approximations for distributionally
robust individual and joint chance constraints, assuming that only the first-and second-order …
robust individual and joint chance constraints, assuming that only the first-and second-order …
Theory and applications of robust optimization
In this paper we survey the primary research, both theoretical and applied, in the area of
robust optimization (RO). Our focus is on the computational attractiveness of RO …
robust optimization (RO). Our focus is on the computational attractiveness of RO …