Scheduling and Pricing of Coupled Energy and Primary, Secondary, and Tertiary Reserves
By Francisco D. Galiana, François Bouffard, J. M. Arroyo, José F. Restrepo. Proceedings of the IEEE, 2005
340 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/f0b2b13a92716ccf191be61653b8419a7ea30398
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Antonio J. Conejo
- Hoay Beng Gooi
- Mingqiang Wang
- Shmuel S. Oren
- Anthony Papavasiliou
- Juan M. Morales
- François Bouffard
- Francisco D. Galiana
Citations in the corpus
- Economic Valuation of Reserves in Power Systems With High Penetration of Wind Power (2009, methodology): “Furthermore, in power systems with a high penetration of wind power the interrelation betweenenergyandreservesmaybecomeverysignificantand, then, theuseofa simultaneousenergyandreservemarket-clearingprocedure [6] allows avoiding the need for ad hoc operator intervention, uneconomical out-of-merit ope”
- Market Designs for the Primary Frequency Response Ancillary Service—Part I: Motivation and Design (2014, methodology): “In the literature [20]–[25], [32], and [33], there is an assumption that the requirements could explicitly meet frequency-based criteria.”
- A Review of Power System Flexibility With High Penetration of Renewables (2019, background): “Therefore, the time-intervals defining each type of reserve in [22], [28], [59] are overlapping.”
- Spinning Reserve Estimation in Microgrids (2009, methodology): “Similar to the SR used in [7], the SR used throughout the thesis refers to that which can be deployed within the tertiary regulation interval [5, 6, 9].”
- Uncertainty Management in the Unit Commitment Problem (2009, background): “After these initial implementations, others have extended these efforts to incorporate the uncertainty in the wind generation [14], market outcomes [15], fuel cost [16], network aspects [17]–[19], and longer-term production costing [20].”
- Wind power day-ahead uncertainty management through stochastic unit commitment policies (2009, methodology): “Subsequently, the modeling has been extended to incorporate the uncertainty in the market parameters and outcomes [10], fuel cost [11], and network aspects [12], [13].”
- Optimizing the Spinning Reserve Requirements Using a Cost/Benefit Analysis (2007, background): “Furthermore, ignoring the coupling that exists between the energy and the reserve scheduling can lead to suboptimal or infeasible results [15].”
- Stochastic security for operations planning with significant wind power generation (2008, background): “As a result, WPG needs sufficient and appropriate backup from hydrothermal generating units to perform the primary, secondary, and tertiary regulation actions necessary to maintain a secure grid operation [7].”
- A Survey of Frequency and Voltage Control Ancillary Services—Part I: Technical Features (2007, background): “However, because ancillary services are not simple commodities, various forms of trading have been set up for frequency control [2], [3], [8]–[ 11 ] and voltage control [12]–[15].”
- Multiarea Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network (2013, background): “…separately and capture the spatial correlations of renewable power 578 production, as well as numerous other features of the renewable power production process (temporal autocorrelation, nonlinearity in the conversion of wind speed to wind power, non-Gaussian distribution of wind speed data).”