Fetching the paper…
Reading the bibliography…
We propose a data-based method to solve a multi-stage stochastic optimal power flow (OPF) problem based on limited information about forecast error distributions.
J. Carpentier, “Contribution to the economic dispatch problem,” Bulletin de la Societe Francaise des Electriciens
1962
Earlier work this paper cites.
H. W. Dommel and W. F. Tinney, “Optimal power flow solutions,” IEEE Transactions on Power Apparatus and Systems
1968
Earlier work this paper cites.
O. Alsac and B. Stott, “Optimal load flow with steady-state security,” IEEE Transactions on Power Apparatus and Systems
1974
Earlier work this paper cites.
C. R. Givens and R. M. Shortt, “A class of wasserstein metrics for probability distributions,” The Michigan Mathematical Journal
1984
Earlier work this paper cites.
M. E. Baran and F. F. Wu, “Network reconfiguration in distribution systems for loss reduction and load balancing,” IEEE Transactions on Power Delivery
1989
Earlier work this paper cites.
New York: McGraw-hill, 1994
P. Kundur, N. J. Balu, and M. G. Lauby, Power system stability and control · 1994
Earlier work this paper cites.
R. Baldick, B. H. Kim, C. Chase, and Y. Luo, “A fast distributed implementation of optimal power flow,” IEEE Transactions on Power Systems
1999
Earlier work this paper cites.
T. Yong and R. H. Lasseter, “Stochastic optimal power flow: Formulation and solution,” in IEEE Power Engineering Society Summer Meeting
2000
Earlier work this paper cites.
R. T. Rockafellar and S. Uryasev, “Optimization of conditional value-at-risk,” Journal of risk
2000
Earlier work this paper cites.
R. D. Christie, B. F. Wollenberg, and I. Wangensteen, “Transmission management in the deregulated environment,” Proceedings of the IEEE
2000
Earlier work this paper cites.
E. Erdoğan and G. Iyengar, “Ambiguous chance constrained problems and robust optimization,” Mathematical Programming
2006
Earlier work this paper cites.
Springer, 2010
A. J. Conejo, M. Carrión, and J. M. Morales, Decision making under uncertainty in electricity markets · 2010
Earlier work this paper cites.
R. D. Zimmerman, “Matpower 4.0 b4 user’s manual,” Power Syst Eng Res Cent
2010
Earlier work this paper cites.
H. Zhang and P. Li, “Chance constrained programming for optimal power flow under uncertainty,” IEEE Transactions on Power Systems
2011
Earlier work this paper cites.
F. Capitanescu, S. Fliscounakis, P. Panciatici, and L. Wehenkel, “Cautious operation planning under uncertainties,” IEEE Transactions on Power Systems
2012
Earlier work this paper cites.
D. Wozabal, “A framework for optimization under ambiguity,” Annals of Operations Research
2012
Earlier work this paper cites.
John Wiley & Sons, 2012
A. J. Wood and B. F. Wollenberg, Power generation, operation, and control · 2012
Earlier work this paper cites.
M. Vrakopoulou, M. Katsampani, K. Margellos, J. Lygeros, and G. Andersson, “Probabilistic security-constrained AC optimal power flow,” in IEEE Grenoble PowerTech
2013
Earlier work this paper cites.
M. Vrakopoulou, K. Margellos, J. Lygeros, and G. Andersson, “A probabilistic framework for reserve scheduling and N-1 security assessment of systems with high wind power penetration,” IEEE Transactions on Power Systems
2013
Earlier work this paper cites.
J. Warrington, P. Goulart, S. Mariéthoz, and M. Morari, “Policy-based reserves for power systems,” IEEE Transactions on Power Systems
2013
Cited alongside, same era.
Y. Zhang and G. B. Giannakis, “Robust optimal power flow with wind integration using conditional value-at-risk,” in IEEE International Conference on Smart Grid Communications
2013
Cited alongside, same era.
M. Perninge and C. Hamon, “A stochastic optimal power flow problem with stability constraints, Part II: The optimization problem,” IEEE Transactions on Power Systems
2013
Cited alongside, same era.
L. Roald, F. Oldewurtel, T. Krause, and G. Andersson, “Analytical reformulation of security constrained optimal power flow with probabilistic constraints,” in IEEE Grenoble PowerTech
2013
Cited alongside, same era.
E. Dall’Anese, H. Zhu, and G. B. Giannakis, “Distributed optimal power flow for smart microgrids,” IEEE Transactions on Smart Grid
R. Louca and E. Bitar, “Stochastic AC optimal power flow with affine recourse,” in IEEE Conference on Decision and Control
2016
Later among the works it cites.
S. S. Guggilam, E. Dall’Anese, Y. C. Chen, S. V. Dhople, and G. B. Giannakis, “Scalable optimization methods for distribution networks with high PV integration,” IEEE Transactions on Smart Grid
2016
Later among the works it cites.
R. Jiang and Y. Guan, “Data-driven chance constrained stochastic program,” Mathematical Programming
2016
Later among the works it cites.
2017
Later among the works it cites.
P. Li, H. Wang, and B. Zhang, “A distributed online pricing strategy for demand response programs,” IEEE Transactions on Smart Grid
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2013
Cited alongside, same era.
K. Christakou, J.-Y. LeBoudec, M. Paolone, and D.-C. Tomozei, “Efficient computation of sensitivity coefficients of node voltages and line currents in unbalanced radial electrical distribution networks,” IEEE Transactions on Smart Grid
2013
Cited alongside, same era.
S. H. Low, “Convex relaxation of optimal power flow, Part I: Formulations and equivalence,” IEEE Transactions on Control of Network Systems
2014
Cited alongside, same era.
S. H. Low, “Convex relaxation of optimal power flow, Part II: Exactness,” IEEE Transactions on Control of Network Systems
2014
Cited alongside, same era.
D. Bienstock, M. Chertkov, and S. Harnett, “Chance-constrained optimal power flow: Risk-aware network control under uncertainty,” SIAM Review
2014
Cited alongside, same era.
W. Wiesemann, D. Kuhn, and M. Sim, “Distributionally robust convex optimization,” Operations Research
2014
Cited alongside, same era.
R. Madani, S. Sojoudi, and J. Lavaei, “Convex relaxation for optimal power flow problem: Mesh networks,” IEEE Transactions on Power Systems
2015
Cited alongside, same era.
T. Summers, J. Warrington, M. Morari, and J. Lygeros, “Stochastic optimal power flow based on conditional value at risk and distributional robustness,” International Journal of Electrical Power & Energy Systems
2015
Cited alongside, same era.
2017
Later among the works it cites.
L. Roald, S. Misra, T. Krause, and G. Andersson, “Corrective control to handle forecast uncertainty: A chance constrained optimal power flow,” IEEE Transactions on Power Systems
2017
Later among the works it cites.
M. Vrakopoulou, B. Li, and J. L. Mathieu, “Chance constrained reserve scheduling using uncertain controllable loads, Part I: Formulation and scenario-based analysis,” IEEE Transactions on Smart Grid
2017
Later among the works it cites.
B. Li, M. Vrakopoulou, and J. L. Mathieu, “Chance constrained reserve scheduling using uncertain controllable loads, Part II: Analytical reformulation,” IEEE Transactions on Smart Grid
2017
Later among the works it cites.
E. Mohagheghi, A. Gabash, and P. Li, “A framework for real-time optimal power flow under wind energy penetration,” Energies
2017
Later among the works it cites.
P. M. Esfahani and D. Kuhn, “Data-driven distributionally robust optimization using the wasserstein metric: performance guarantees and tractable reformulations,” Mathematical Programming
2017
Later among the works it cites.
A. Bernstein and E. Dall’Anese, “Linear power-flow models in multiphase distribution networks,” in IEEE PES Innovative Smart Grid Technologies Conference Europe
2017
Later among the works it cites.
B. Li, R. Jiang, and J. L. Mathieu, “Ambiguous risk constraints with moment and unimodality information,” Mathematical Programming
2017
Later among the works it cites.
D. Bertsimas, V. Gupta, and N. Kallus, “Robust sample average approximation,” Mathematical Programming
2017
Later among the works it cites.
A. Venzke, L. Halilbasic, U. Markovic, G. Hug, and S. Chatzivasileiadis, “Convex relaxations of chance constrained AC optimal power flow,” IEEE Transactions on Power Systems
2018
Closest in time.
W. Xie and S. Ahmed, “Distributionally robust chance constrained optimal power flow with renewables: A conic reformulation,” IEEE Transactions on Power Systems
2018
Closest in time.
E. Mohagheghi, A. Gabash, M. Alramlawi, and P. Li, “Real-time optimal power flow with reactive power dispatch of wind stations using a reconciliation algorithm,” Renewable Energy
2018
Closest in time.
Y. Guo, K. Baker, E. Dall’Anese, Z. Hu, and T. Summers, “Stochastic optimal power flow based on data-driven distributionally robust optimization,” in 2018 American Control Conference
2018
Closest in time.
Y. Guo, K. Baker, E. Dall’Aness, Z. Hu, and T. Summers, “Data-based distributionally robust stochastic optimal power flow, Part II: Case studies,” IEEE Transactions on Power Systems
2018
Closest in time.
B. Li, J. L. Mathieu, and R. Jiang, “Distributionally robust chance-constrained optimal power flow assuming log-concave distributions,” in Power systems computation conference (PSCC)
2018
Closest in time.