A review of stochastic programming methods for optimization of process systems under uncertainty
C Li, IE Grossmann - Frontiers in Chemical Engineering, 2021 - frontiersin.org
Uncertainties are widespread in the optimization of process systems, such as uncertainties
in process technologies, prices, and customer demands. In this paper, we review the basic …
in process technologies, prices, and customer demands. In this paper, we review the basic …
Recent advances and challenges in optimization models for expansion planning of power systems and reliability optimization
Optimization models for expansion planning of power systems aim to determine capacities,
investment timing, and location of power systems to satisfy the power demands while …
investment timing, and location of power systems to satisfy the power demands while …
Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems
With the increasing penetration of renewable generating units, especially in remote areas
not well connected with load demand, there are growing interests to co-optimize generation …
not well connected with load demand, there are growing interests to co-optimize generation …
Multistage dynamic planning of integrated hydrogen-electrical microgrids under multiscale uncertainties
Integrated Hydrogen-Electrical (IHE) microgrids are desirable testbeds for the practice of
carbon-neutral energy supply. This paper studies the IHE microgrids planning (IHEMP) …
carbon-neutral energy supply. This paper studies the IHE microgrids planning (IHEMP) …
[HTML][HTML] A distributed computing framework for multi-stage stochastic planning of renewable power systems with energy storage as flexibility option
A Flores-Quiroz, K Strunz - Applied Energy, 2021 - Elsevier
An integrated generation, transmission, and energy storage planning model accounting for
short-term constraints and long-term uncertainty is proposed. The model allows to accurately …
short-term constraints and long-term uncertainty is proposed. The model allows to accurately …
Multiscale simulation of integrated energy system and electricity market interactions
Accelerating the deep decarbonization of the world's electric grids requires the coordination
of complex energy systems and infrastructures across timescales from seconds to decades …
of complex energy systems and infrastructures across timescales from seconds to decades …
A multi-scale energy systems engineering approach towards integrated multi-product network optimization
Abstract 21 st century energy production, conversion, and delivery systems need to go
through a transition to be less carbon-intensive while meeting an increasing energy …
through a transition to be less carbon-intensive while meeting an increasing energy …
Multi-stage stochastic planning for a long-term low-carbon transition of island power system considering carbon price uncertainty and offshore wind power
B Wang, X Wang, F Wei, C Shao, J Zhou, J Lin - Energy, 2023 - Elsevier
The characteristics of isolated grids lead island power systems to rely on stable conventional
generation, which is not environmentally friendly and has high carbon emissions. This paper …
generation, which is not environmentally friendly and has high carbon emissions. This paper …
A multiscale energy systems engineering approach for renewable power generation and storage optimization
Successful integration of intermittent renewable resources into the energy mix is
instrumental to meet the growing global energy demand while reducing the carbon …
instrumental to meet the growing global energy demand while reducing the carbon …
Reputation-aware federated learning client selection based on stochastic integer programming
Federated Learning (FL) has attracted wide research interest due to its potential in building
machine learning models while preserving users' data privacy. However, due to the …
machine learning models while preserving users' data privacy. However, due to the …