Probabilistic optimal power flow analysis incorporating correlated wind sources

[1]  Qing Xiao,et al.  Comparing three methods for solving probabilistic optimal power flow , 2015 .

[2]  J. Aguado,et al.  Cumulant-based probabilistic optimal power flow (P-OPF) with Gaussian and gamma distributions , 2005, IEEE Transactions on Power Systems.

[3]  Zheng Yan,et al.  Probabilistic optimal power flow considering dependences of wind speed among wind farms by pair-copula method , 2017 .

[4]  Keerati Chayakulkheeree Probabilistic Optimal Power Flow with Weibull Probability Distribution Function of System Loading Using Percentiles Estimation , 2013 .

[5]  Mahmud Fotuhi-Firuzabad,et al.  Probabilistic Optimal Power Flow in Correlated Hybrid Wind–Photovoltaic Power Systems , 2014, IEEE Transactions on Smart Grid.

[6]  Yonghua Song,et al.  Probabilistic Load Flow Based on Generalized Polynomial Chaos , 2017, IEEE Transactions on Power Systems.

[7]  C. Cañizares,et al.  Probabilistic Optimal Power Flow in Electricity Markets Based on a Two-Point Estimate Method , 2006, IEEE Transactions on Power Systems.

[8]  Qing Xiao,et al.  Solving Probabilistic Optimal Power Flow Problem Using Quasi Monte Carlo Method and Ninth-Order Polynomial Normal Transformation , 2014, IEEE Transactions on Power Systems.

[9]  M. Tripathy,et al.  Security constrained optimal power flow solution of wind-thermal generation system using modified bacteria foraging algorithm , 2015 .

[10]  Yixin Ni,et al.  A Solution of Optimal Power Flow Incorporating Wind Generation and Power Grid Uncertainties , 2018, IEEE Access.

[12]  C. Chung,et al.  A Novel Probabilistic Optimal Power Flow Model With Uncertain Wind Power Generation Described by Customized Gaussian Mixture Model , 2016, IEEE Transactions on Sustainable Energy.

[13]  Ajit Kumar Barisal,et al.  A modified bacteria foraging based optimal power flow framework for Hydro-Thermal-Wind generation system in the presence of STATCOM , 2017 .

[14]  Ponnuthurai Nagaratnam Suganthan,et al.  Optimal power flow solutions incorporating stochastic wind and solar power , 2017 .

[15]  Farrokh Aminifar,et al.  Unscented transformation-based probabilistic optimal power flow for modeling the effect of wind power generation , 2013 .

[16]  J. Aguado,et al.  Introduction to cumulant-based probabilistic optimal power flow (P-OPF) , 2005, IEEE Transactions on Power Systems.

[17]  Wenyuan Li,et al.  Probabilistic Optimal Power Flow Considering Correlations of Wind Speeds Following Different Distributions , 2014, IEEE Transactions on Power Systems.

[18]  Christopher Saunders Point Estimate Method Addressing Correlated Wind Power for Probabilistic Optimal Power Flow , 2014, IEEE Transactions on Power Systems.

[19]  Ali Ahmadian,et al.  Optimal probabilistic energy management in a typical micro-grid based-on robust optimization and point estimate method , 2015 .

[20]  Alberto Berizzi,et al.  Advanced probabilistic power flow methodology for power systems with renewable resources , 2017 .

[21]  Yaonan Wang,et al.  Multiobjective Optimization of HEV Fuel Economy and Emissions Using the Self-Adaptive Differential Evolution Algorithm , 2011, IEEE Transactions on Vehicular Technology.

[22]  Azam Pirmoradian A new one parameter family of Archimedean copula and its extensions / Azam Pirmoradian , 2013 .

[23]  F. Ni,et al.  Basis-Adaptive Sparse Polynomial Chaos Expansion for Probabilistic Power Flow , 2017 .

[24]  Ranjit Roy,et al.  Stochastic optimal power flow incorporating offshore wind farm and electric vehicles , 2015 .

[25]  Behnam Mohammadi-Ivatloo,et al.  Probabilistic multi-objective optimal power flow considering correlated wind power and load uncertainties , 2016 .

[26]  T. Y. Ji,et al.  Quasi-Monte Carlo Based Probabilistic Optimal Power Flow Considering the Correlation of Wind Speeds Using Copula Function , 2018, IEEE Transactions on Power Systems.

[27]  Hang Yin,et al.  Probabilistic power flow computation using collocation method and including correlation modeling , 2019 .

[28]  Shaowu Zhou,et al.  Probabilistic power flow computation using quadrature rules based on discrete Fourier transformation matrix , 2019, International Journal of Electrical Power & Energy Systems.

[29]  Jinfu Chen,et al.  Probabilistic load flow calculation based on sparse polynomial chaos expansion , 2018 .

[30]  Shaowu Zhou,et al.  Comparing unscented transformation and point estimate method for probabilistic power flow computation , 2018 .

[31]  Marius Hofert,et al.  Sampling Archimedean copulas , 2008, Comput. Stat. Data Anal..

[32]  Ranjit Roy,et al.  Optimal power flow solution of power system incorporating stochastic wind power using Gbest guided artificial bee colony algorithm , 2015 .

[33]  Raik Becker,et al.  Generation of Time-Coupled Wind Power Infeed Scenarios Using Pair-Copula Construction , 2018, IEEE Transactions on Sustainable Energy.

[34]  A. Schellenberg,et al.  Enhancements to the Cumulant Method for Probabilistic Optimal Power Flow Studies , 2009, IEEE Transactions on Power Systems.

[35]  Lianghong Wu,et al.  Stochastic Fractal Based Multiobjective Fruit Fly Optimization , 2017, Int. J. Appl. Math. Comput. Sci..

[36]  Xiuchen Jiang,et al.  A Versatile Probability Model of Photovoltaic Generation Using Pair Copula Construction , 2015, IEEE Transactions on Sustainable Energy.

[37]  Nima Amjady,et al.  A new optimal power flow approach for wind energy integrated power systems , 2017 .

[38]  Anne Dutfoy,et al.  Do Rosenblatt and Nataf isoprobabilistic transformations really differ , 2009 .

[39]  Hang Yin,et al.  Practical application of collocation method in power flow study of South Australia grid , 2018 .

[40]  M. Tripathy,et al.  A new perspective on wind integrated optimal power flow considering turbine characteristics, wind correlation and generator reactive limits , 2019, Electric Power Systems Research.

[41]  Shaowu Zhou,et al.  Probabilistic power flow computation considering correlated wind speeds , 2018, Applied Energy.

[42]  Hang Yin,et al.  Using probabilistic collocation method for neighbouring wind farms modelling and power flow computation of South Australia grid , 2017 .

[43]  Jie Zhang,et al.  Statistical Representation of Wind Power Ramps Using a Generalized Gaussian Mixture Model , 2018, IEEE Transactions on Sustainable Energy.

[44]  F. Milano,et al.  An open source power system analysis toolbox , 2005, 2006 IEEE Power Engineering Society General Meeting.