Power system flexibility: an overview of emergence to evolution
Power systems are evolving to the networks with proliferated penetration of renewable
energy resources to leverage their environmental and economic advantages. However, due …
energy resources to leverage their environmental and economic advantages. However, due …
A review on the unit commitment problem: Approaches, techniques, and resolution methods
Optimizing the schedule of thermal generators is probably the most important task when the
operation of power systems is managed. This issue is known as the unit commitment …
operation of power systems is managed. This issue is known as the unit commitment …
Short term wholesale electricity market designs: A review of identified challenges and promising solutions
The electricity market is being increasingly challenged by new trends, such as the high
penetration of intermittent renewables and the transformation of the consumers' energy …
penetration of intermittent renewables and the transformation of the consumers' energy …
Enabling smart ports through the integration of microgrids: A two-stage stochastic programming approach
This paper explores microgrids' application at ports and presents a systematic framework for
evaluating the benefits of microgrid integration in creating sustainable value through …
evaluating the benefits of microgrid integration in creating sustainable value through …
Data-driven decision making in power systems with probabilistic guarantees: Theory and applications of chance-constrained optimization
Uncertainties from deepening penetration of renewable energy resources have posed
critical challenges to the secure and reliable operations of future electric grids. Among …
critical challenges to the secure and reliable operations of future electric grids. Among …
A chance-constrained optimization framework for wind farms to manage fleet-level availability in condition based maintenance and operations
Operations and maintenance (O&M) is a key contributor to wind farm expenditures. To
increase competitiveness, wind farm operators are increasingly looking into leveraging real …
increase competitiveness, wind farm operators are increasingly looking into leveraging real …
Chance-constrained optimization for multienergy hub systems in a smart city
The energy hub is a powerful conceptualization of how to acquire, convert, and distribute
energy resources in the smart city. However, uncertainties such as intermittent renewable …
energy resources in the smart city. However, uncertainties such as intermittent renewable …
Optimal scheduling for microgrids with hydrogen fueling stations considering uncertainty using data-driven approach
Hydrogen fueling stations can convert electricity to hydrogen with onsite hydrogen
production technologies. When using renewables and cheap grid energy, hydrogen fueling …
production technologies. When using renewables and cheap grid energy, hydrogen fueling …
Chance-constrained two-stage unit commitment under uncertain load and wind power output using bilinear benders decomposition
In this paper, we study unit commitment (UC) problems considering the uncertainty of load
and wind power generation. UC problem is formulated as a chance-constrained two-stage …
and wind power generation. UC problem is formulated as a chance-constrained two-stage …
Chance-constrained economic dispatch considering curtailment strategy of renewable energy
Chance-constrained economic dispatch (CCED) is widely used to cope with uncertainties
brought by renewable energy sources. In CCED, security of power system is guaranteed by …
brought by renewable energy sources. In CCED, security of power system is guaranteed by …