Power systems optimization under uncertainty: A review of methods and applications

LA Roald, D Pozo, A Papavasiliou, DK Molzahn… - Electric Power Systems …, 2023 - Elsevier
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 …

Data-driven decision making in power systems with probabilistic guarantees: Theory and applications of chance-constrained optimization

X Geng, L Xie - Annual reviews in control, 2019 - Elsevier
Uncertainties from deepening penetration of renewable energy resources have posed
critical challenges to the secure and reliable operations of future electric grids. Among …

A survey of relaxations and approximations of the power flow equations

DK Molzahn, IA Hiskens - Foundations and Trends® in …, 2019 - nowpublishers.com
The power flow equations relate the power injections and voltages in an electric power
system and are therefore key to many power system optimization and control problems …

Co-optimizing virtual power plant services under uncertainty: A robust scheduling and receding horizon dispatch approach

J Naughton, H Wang, M Cantoni… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Market and network integration of distributed energy resources can be facilitated by their
coordination within a virtual power plant (VPP). However, VPP operation subject to network …

Data-based distributionally robust stochastic optimal power flow—Part I: Methodologies

Y Guo, K Baker, E Dall'Anese, Z Hu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

Estimating the robust PQ capability of a technical virtual power plant under uncertainties

Z Tan, H Zhong, Q Xia, C Kang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The technical virtual power plant (TVPP) is a promising paradigm to facilitate the integration
of distributed energy resources (DERs) while incorporating operational constraints of both …

Introducing uncertainty components in locational marginal prices for pricing wind power and load uncertainties

X Fang, BM Hodge, E Du, C Kang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

Aggregate modeling of thermostatically controlled loads for microgrid energy management systems

S Córdova, CA Cañizares, Á Lorca… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Second-to-second renewable power fluctuations can severely hinder the frequency
regulation performance of modern isolated microgrids, as these typically have a low inertia …

Probabilistic optimization techniques in smart power system

M Riaz, S Ahmad, I Hussain, M Naeem, L Mihet-Popa - Energies, 2022 - mdpi.com
Uncertainties are the most significant challenges in the smart power system, necessitating
the use of precise techniques to deal with them properly. Such problems could be effectively …

MPC-based local voltage control strategy of DGs in active distribution networks

P Li, J Ji, H Ji, J Jian, F Ding, J Wu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The increasing penetration of distributed generators (DGs) exacerbates the voltage
violations in active distribution networks (ADNs). The commonly used centralized voltage …