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IEEE Trans. Ind. Electron., 58
R.R. Yager (2001)
Determining equivalent values for possibilistic variables, 31
Int. Trans. Electr. Energy Syst., 25
D. Bertsimas, M. Sim (2003)
Robust discrete optimisation and network flows, 98
Q. Bai (2010)
Analysis of particle swarm optimisation algorithm, 3
IEEE Power Energy Mag., 7
A. Khodakarami, H.F. Farahani, J. Aghaei (2017)
Stochastic characterisation of electricity energy markets including plug‐in electric vehicles, 69
Hamad A.A. (2016)
1057IEEE Trans. Smart Grid, 7
L.A. Zadeh (1965)
Fuzzy sets, 8
R.E. Moore, R.B. Kearfott, M.J. Cloud (2009)
Introduction to interval analysis
I.E.A. Energy (2015)
Climate change: world energy outlook special briefing for COP21
S. Mohammadi, B. Mozafari, S. Solimani (2014)
Optimal operation management of microgrids using the point estimate method and firefly algorithm while considering uncertainty, 22
P. Kayal, C.K. Chanda (2015)
Optimal mix of solar and wind distributed generations considering performance improvement of electrical distribution network, 75
L.A. Zadeh (1973)
Outline of a new approach to the analysis of complex systems and decision processes, 3
Y. Ben‐Haim (2006)
Info‐gap decision theory: decisions under severe uncertainty
C.L. Su, C.N. Lu (2005)
Two‐point estimate method for quantifying transfer capability uncertainty, 20
IEEE J. Emerging Sel. Top. Power Electron., 5
A. Soroudi (2012)
Possibilistic‐scenario model for DG impact assessment on distribution networks in an uncertain environment, 27
A.J. Conejo, J.M. Morales, L. Baringo (2010)
Real‐time demand response model, 1
H.A. Gabbar, A. Zidan (2016)
Optimal scheduling of interconnected micro energy grids with multiple fuel options, 7
A. Rabiee, A. Soroudi, A. Keane (2015)
Information gap decision theory based OPF with HVDC connected wind farms, 30
Z. Liu, F. Wen, G. Ledwich (2011)
Optimal siting and sizing of distributed generators in distribution systems considering uncertainties, 26
M. Shahidehpour, Y. Kabiri, M. Ehsan (2017)
Day‐ahead self‐scheduling of a transmission‐constrained GenCo with variable generation units using the incomplete market information, 8
H.P. Hong (1998)
An efficient point estimate method for probabilistic analysis, 59
Automatica, 61
E. Rosenblueth (1975)
Point estimates for probability moments, 72
C. Grigg, P. Wong, P. Albrecht (1999)
The IEEE reliability test system‐1996. A report prepared by the reliability test system task force of the application of probability methods subcommittee, 14
M. Clerc (2010)
Particle swarm optimisation, 93,
H.J. Zimmermann (1978)
Fuzzy programming and linear programming with several objective functions, 1
A.A. Hamad, M.A. Azzouz, E.F. El‐Saadany (2016)
Multiagent supervisory control for power management in DC microgrids, 7
M. Aien, M. Rashidinejad, M. Fotuhi‐Firuzabad (2014)
On possibilistic and probabilistic uncertainty assessment of power flow problem: a review and a new approach, 37
, 6
S. Mohammadi, S. Soleymani, B. Mozafari (2014)
Scenario‐based stochastic operation management of microgrid including wind, photovoltaic, micro‐turbine, fuel cell and energy storage devices, 54
L. Che, M. Shahidehpour (2014)
DC microgrids: economic operation and enhancement of resilience by hierarchical control, 5
V.A. Evangelopoulos, P.S. Georgilakis (2013)
Optimal distributed generation placement under uncertainties based on point estimate method embedded genetic algorithm, 8
T. Niknam, A. Kavousifard, J. Aghaei (2012)
Scenario‐based multiobjective distribution feeder reconfiguration considering wind power using adaptive modified particle swarm optimisation, 6
A. Ben‐Tal, L. El Ghaoui, A. Nemirovski (2009)
Robust optimisation
H. Mohsenian‐Rad, A. Davoudi (2014)
Towards building an optimal demand response framework for DC distribution networks, 5
C. Li, S.K. Chaudhary, J.C. Vasquez (2014)
Power flow analysis for droop controlled LV hybrid AC–DC microgrids with virtual impedance
Mohsenian‐Rad H. (2014)
2626IEEE Trans. Smart Grid, 5
C.L. Su (2005)
Probabilistic load‐flow computation using point estimate method, 20
Ma W.J. (2016)
2624IEEE Trans. Smart Grid, 7
Che L. (2014)
2517IEEE Trans. Smart Grid, 5
T. Niknam, F. Golestaneh, A. Malekpour (2012)
Probabilistic energy and operation management of a microgrid containing wind/photovoltaic/fuel cell generation and energy storage devices based on point estimate method and self‐adaptive gravitational search algorithm, 43
, 6
A. Nikoobakht, J. Aghaei (2016)
IGDT‐based robust optimal utilisation of wind power generation using coordinated flexibility resources, 11
M. Aien, A. Hajebrahimi, M. Fotuhi‐Firuzabad (2016)
A comprehensive review on uncertainty modeling techniques in power system studies, 57
R.Y. Rubinstein, D.P. Kroese (2016)
Simulation and the Monte Carlo method, 10,
(2017)
CO2 emissions from fuel combustion
F.S. Gazijahani, J. Salehi (2018)
Robust design of microgrids with reconfigurable topology under severe uncertainty, 9
Y.M. Atwa, E.F. El‐Saadany, M.M.A. Salama (2010)
Optimal renewable resources mix for distribution system energy loss minimisation, 25
Sustain. Cities Soc., 27
A. Nikoobakht, J. Aghaei, M. Mardaneh (2016)
Managing the risk of uncertain wind power generation in flexible power systems using information gap decision theory, 114
IEEE Trans. Power Deliv., 26
W.J. Ma, J. Wang, X. Lu (2016)
Optimal operation mode selection for a dc microgrid, 7
D. Das (2006)
A fuzzy multiobjective approach for network reconfiguration of distribution systems, 21
L. Abdallah, T. El‐Shennawy (2013)
Reducing carbon dioxide emissions from electricity sector using smart electric grid applications, 2013
M.E. Harr (1989)
Probabilistic estimates for multivariate analyses, 13
C. Li, S.K. Chaudhary, M. Savaghebi (2017)
Power flow analysis for low‐voltage AC and DC microgrids considering droop control and virtual impedance, 8
IET Generation, Transmission & Distribution – Wiley
Published: Jul 1, 2018
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