Market-clearing with stochastic security-part II: case studies

By François Bouffard, Francisco D. Galiana, Antonio J. Conejo. IEEE Transactions on Power Systems, 2005

185 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/199b97e91e4ba5b9428e8f5295a32fd15d2f784d

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

Citations in the corpus

Stochastic Multiobjective Market Clearing of Joint Energy and Reserves Auctions Ensuring Power System Security (2009, methodology): “In addition to the above comparison between deterministic and stochastic frameworks, it is noted that in the deterministic framework, the interruption cost is not considered [7], [8].”
Economic Valuation of Reserves in Power Systems With High Penetration of Wind Power (2009, methodology): “The data defining the base case for this system have been extracted from [9].”
A Review of Power System Flexibility With High Penetration of Renewables (2019, background): “Therefore, charging separate prices for up and down reserve at the same node has little meaning [52], [77].”
Spinning Reserve Estimation in Microgrids (2009, background): “Reference [22] mitigates the computational burden by considering only a few significant events.”
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].”
Market-clearing with stochastic security-part I: formulation (2005, methodology): “Since both the pre- and post-contingency load flow equations are explicitly considered, the dimensionality of the optimization problem treated here can be significant for realistic systems, as illustrated in the companion paper [13] in a case study based on the IEEE Reliability Test System.”
Optimizing the Spinning Reserve Requirements Using a Cost/Benefit Analysis (2007, methodology): “References [17] and [18] discuss the difficulties associated with the selection of appropriate ELNS ceilings and propose to penalize the ELNS inside the objective function to avoid choice of arbitrary ELNS and/or LOLP ceilings.”
Economic-environmental energy and reserve scheduling of smart distribution systems: A multiobjective mathematical programming approach (2014, background): “The spinning reserve of DGs is priced at a rate equal to the 25% of their highest marginal cost of the energy production [58].”
Umbrella contingencies in security-constrained optimal power flow (2005, background): “In this case, generator 3 keeps on producing at its maximum of 50 MW while generator 1 picks up the residual demand.”