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Robust optimization vs. stochastic programming incorporating risk measures for unit commitment with uncertain variable renewable generation
Unit commitment seeks the most cost effective generator commitment schedule for an
electric power system to meet net load, defined as the difference between the load and the …
electric power system to meet net load, defined as the difference between the load and the …
Stochastic real-time operation control of a combined heat and power (CHP) system under uncertainty
In this paper we present an effort to design and apply a multi-objective real-time operation
controller to a combined heat and power (CHP) system, while considering explicitly the risk …
controller to a combined heat and power (CHP) system, while considering explicitly the risk …
Investigation of stochastic unit commitment to enable advanced flexibility measures for high shares of solar PV
As the share of solar photovoltaics (PV) in the power system increases, there is a growing
need for flexibility from multiple, possibly interdependent sources to adjust to PV's variability …
need for flexibility from multiple, possibly interdependent sources to adjust to PV's variability …
[HTML][HTML] Quantifying resilience in energy systems with out-of-sample testing
The need to design resilient energy systems becomes ever more apparent as we face the
challenge of decarbonising through reliance on non-dispatchable technologies and sectoral …
challenge of decarbonising through reliance on non-dispatchable technologies and sectoral …
Oats: Optimisation and analysis toolbox for power systems
W Bukhsh, C Edmunds, K Bell - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
Optimisation and Analysis Toolbox for power Systems analysis (OATS) is an open-source
simulation tool for steady-state analyses of power systems problems distributed under the …
simulation tool for steady-state analyses of power systems problems distributed under the …
Reliability evaluation for power systems containing ocean thermal energy conversion power plants
Ocean thermal energy conversion system uses from water in surface of the ocean as high
temperature source and water in the depth of the ocean as low temperature source. Three …
temperature source and water in the depth of the ocean as low temperature source. Three …
[LLIBRE][B] A Stochastic Primal-Dual Proximal Splitting Method Forrrisk-Averse Optimal Control of PDEs
S Angerhausen - 2022 - search.proquest.com
In this thesis we consider a non-convex optimization problem that is constrained by a partial
differential equation (PDE) with uncertain coefficients. The random field PDE solution is …
differential equation (PDE) with uncertain coefficients. The random field PDE solution is …
Optimal Trading Strategy of Coordinating Electricity Purchase in Monthly Electricity Market and Day-ahead Market Based on CVaR
The new round of power system reform has been carried out in China since 2015. At
present, China's mediumand long-term electricity market has been basically established, but …
present, China's mediumand long-term electricity market has been basically established, but …
Pricing energy in the presence of renewables
A Zeinalzadeh, D Ghavidel… - 2018 Annual American …, 2018 - ieeexplore.ieee.org
The intermittent nature of renewable energy generation implies that renewable producers
rely on non-renewable producers to ensure the aggregate power delivered meets the …
rely on non-renewable producers to ensure the aggregate power delivered meets the …
Stochastic market clearing model with probabilistic participation of wind and electric vehicles
In this paper, a mixed-integer linear programming (MILP) model for the stochastic clearing of
electricity markets with probabilistic participants is proposed. It is assumed that the sources …
electricity markets with probabilistic participants is proposed. It is assumed that the sources …