A survey of adjustable robust optimization
Static robust optimization (RO) is a methodology to solve mathematical optimization
problems with uncertain data. The objective of static RO is to find solutions that are immune …
problems with uncertain data. The objective of static RO is to find solutions that are immune …
Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective
Multi-uncertainties impose enormous challenges to the optimal scheduling of power
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …
Adaptive robust optimization with dynamic uncertainty sets for multi-period economic dispatch under significant wind
The exceptional benefits of wind power as an environmentally responsible renewable
energy resource have led to an increasing penetration of wind energy in today's power …
energy resource have led to an increasing penetration of wind energy in today's power …
Robust operation of soft open points in active distribution networks with high penetration of photovoltaic integration
Distributed generators including photovoltaic (PV) panels have been integrated dramatically
in active distribution networks (ADNs). Due to the strong volatility and uncertainty, the high …
in active distribution networks (ADNs). Due to the strong volatility and uncertainty, the high …
Reliable renewable generation and transmission expansion planning: co-optimizing system's resources for meeting renewable targets
The current renewable-driven generation expansion wave, pushed by high renewable
targets, is not accompanied by the same movement in the transmission expansion planning …
targets, is not accompanied by the same movement in the transmission expansion planning …
Data-driven stochastic unit commitment for integrating wind generation
Considering recent development of deregulated energy markets and the intermittent nature
of renewable energy generation, it is important for power system operators to ensure cost …
of renewable energy generation, it is important for power system operators to ensure cost …
Data-driven adaptive robust unit commitment under wind power uncertainty: A Bayesian nonparametric approach
C Ning, F You - IEEE Transactions on Power Systems, 2019 - ieeexplore.ieee.org
This paper proposes a novel data-driven adaptive robust optimization (ARO) framework for
the unit commitment (UC) problem integrating wind power into smart grids. By leveraging a …
the unit commitment (UC) problem integrating wind power into smart grids. By leveraging a …
Effect of natural gas flow dynamics in robust generation scheduling under wind uncertainty
A new challenge has arisen in power generation scheduling recently, as the rapid increase
in the number of gas-fired units has made power systems more vulnerable to failures in …
in the number of gas-fired units has made power systems more vulnerable to failures in …
Robust energy and reserve scheduling considering bulk energy storage units and wind uncertainty
In the restructured power industry, bulk energy storage may play a crucial role to provide the
flexibility required by system operators to cater for the unprecedented levels of uncertainty …
flexibility required by system operators to cater for the unprecedented levels of uncertainty …
Robust distribution network reconfiguration
We propose a two-stage robust optimization model for the distribution network
reconfiguration problem with load uncertainty. The first-stage decision is to configure the …
reconfiguration problem with load uncertainty. The first-stage decision is to configure the …