The islanded micro‐grid large signal stability analysis based on neuro‐fuzzy model

[1]  Yibo Wang,et al.  Stability analysis of micro-grid frequency control system with two additive time-varying delay , 2020, J. Frankl. Inst..

[2]  Hadi Ahmadi,et al.  The Lyapunov-based stability analysis of reduced order micro-grid via uncertain LMI condition , 2020 .

[3]  Ramin Parvari,et al.  Micro-grid stabilizer design using sliding mode controller , 2020 .

[4]  Marco Liserre,et al.  Microgrid Stability Definitions, Analysis, and Examples , 2020, IEEE Transactions on Power Systems.

[5]  Hossien Riahi-Madvar,et al.  Novel forecasting models for immediate-short-term to long-term influent flow prediction by combining ANFIS and grey wolf optimization , 2019, Journal of Hydrology.

[6]  Dagmar Niebur,et al.  A Design and Optimization Tool for Inverter-Based Microgrids Using Large-Signal Nonlinear Analysis , 2019, IEEE Transactions on Smart Grid.

[7]  Srete Nikolovski,et al.  A Novel ANFIS-Based Islanding Detection for Inverter-Interfaced Microgrids , 2019, IEEE Transactions on Smart Grid.

[8]  Yasunori Mitani,et al.  Self-Adaptive Virtual Inertia Control-Based Fuzzy Logic to Improve Frequency Stability of Microgrid With High Renewable Penetration , 2019, IEEE Access.

[9]  Tao Liu,et al.  Impact of DG Connection Topology on the Stability of Inverter-Based Microgrids , 2019, IEEE Transactions on Power Systems.

[10]  Josep M. Guerrero,et al.  Parameter Stability Region Analysis of Islanded Microgrid Based on Bifurcation Theory , 2019, IEEE Transactions on Smart Grid.

[11]  Jingqi Yuan,et al.  New relaxed stabilization conditions for discrete‐time Takagi–Sugeno fuzzy control systems , 2019, Asian Journal of Control.

[12]  Jovica V. Milanovic,et al.  Existing approaches and trends in uncertainty modelling and probabilistic stability analysis of power systems with renewable generation , 2019, Renewable and Sustainable Energy Reviews.

[13]  Josep M. Guerrero,et al.  Small-Signal Stability Analysis and Optimal Parameters Design of Microgrid Clusters , 2019, IEEE Access.

[14]  Suryanarayana Doolla,et al.  Improvement of Stability Margin of Droop-Based Islanded Microgrids by Cascading of Lead Compensators , 2019, IEEE Transactions on Industry Applications.

[15]  Chao Chen,et al.  A Conservatism-Free Large Signal Stability Analysis Method for DC Microgrid Based on Mixed Potential Theory , 2019, IEEE Transactions on Power Electronics.

[16]  Miguel Bernal,et al.  Efficient LMI Conditions for Enhanced Stabilization of Discrete-Time Takagi–Sugeno Models via Delayed Nonquadratic Lyapunov Functions , 2019, IEEE Transactions on Fuzzy Systems.

[17]  Mohsen Hamzeh,et al.  A Simplified Equivalent Model for the Analysis of Low-Frequency Stability of Multi-Bus DC Microgrids , 2018, IEEE Transactions on Smart Grid.

[18]  A. Rezaee Jordehi,et al.  How to deal with uncertainties in electric power systems? A review , 2018, Renewable and Sustainable Energy Reviews.

[19]  Nadia Essoussi,et al.  Overview of Scalable Partitional Methods for Big Data Clustering , 2018, Clustering Methods for Big Data Analytics.

[20]  Zhehan Yi,et al.  Small-Signal Stability Analysis and Performance Evaluation of Microgrids Under Distributed Control , 2018, IEEE Transactions on Smart Grid.

[21]  Annette Muetze,et al.  Small-Signal Stability Analysis of an Inverter-Based Microgrid With Internal Model-Based Controllers , 2018, IEEE Transactions on Smart Grid.

[22]  Rama K. Yedavalli,et al.  Robust Stability Region of a Microgrid Under Parametric Uncertainty Using Bialternate Sum Matrix Approach , 2018, IEEE Transactions on Power Systems.

[23]  Hak-Keung Lam,et al.  A New Approach to Stability and Stabilization Analysis for Continuous-Time Takagi–Sugeno Fuzzy Systems With Time Delay , 2018, IEEE Transactions on Fuzzy Systems.

[24]  Nelson Martins,et al.  Damped Nyquist Plot for a pole placement design of power system stabilizers , 2018 .

[25]  Jie Chen,et al.  Stability Analysis and Parameters Optimization of Islanded Microgrid With Both Ideal and Dynamic Constant Power Loads , 2018, IEEE Transactions on Industrial Electronics.

[26]  Hatem H. Zeineldin,et al.  Domain of Stability Characterization for Hybrid Microgrids Considering Different Power Sharing Conditions , 2018, IEEE Transactions on Energy Conversion.

[27]  Sergio Salazar,et al.  Takagi–Sugeno Dynamic Neuro-Fuzzy Controller of Uncertain Nonlinear Systems , 2017, IEEE Transactions on Fuzzy Systems.

[28]  Susana M. Vieira,et al.  Takagi–Sugeno Fuzzy Modeling Using Mixed Fuzzy Clustering , 2017, IEEE Transactions on Fuzzy Systems.

[29]  Mohammad A. S. Masoum,et al.  Stochastic scenario-based generation scheduling in industrial microgrids , 2017 .

[30]  Dagmar Niebur,et al.  Large Signal Lyapunov-Based Stability Studies in Microgrids: A Review , 2017, IEEE Transactions on Smart Grid.

[31]  Ron Perez,et al.  Development of Lyapunov redesign controller for microgrids with constant power loads , 2017 .

[32]  Ligang Wu,et al.  Takagi–Sugeno fuzzy-model-based control of three-phase AC/DC voltage source converters using adaptive sliding mode technique , 2017 .

[33]  Tao Liu,et al.  A Distributed Framework for Stability Evaluation and Enhancement of Inverter-Based Microgrids , 2017, IEEE Transactions on Smart Grid.

[34]  Prakash K. Ray,et al.  Modelling & Simulation of a PV Based Micro Grid for Enhanced Stability☆ , 2017 .

[35]  Yang Hu,et al.  Dynamic Stability Analysis of Synchronverter-Dominated Microgrid Based on Bifurcation Theory , 2017, IEEE Transactions on Industrial Electronics.

[36]  Kanthalakshmi Srinivasan,et al.  Takagi-Sugeno fuzzy approach for power optimization in standalone photovoltaic systems , 2016 .

[37]  Yanzheng Zhu,et al.  Robust Decentralized Static Output-Feedback Control Design for Large-Scale Nonlinear Systems Using Takagi-Sugeno Fuzzy Models , 2016, IEEE Access.

[38]  Biyun Chen,et al.  A nonlinear two‐cluster Gaussian mixture scenario model for wind power , 2016 .

[39]  Yan Li,et al.  Microgrid stability: Classification and a review , 2016 .

[40]  Hossein Seifi,et al.  Probabilistic tuning of Power System Stabilizers considering the wind farm generation uncertainty , 2014 .

[41]  Dongsheng Guo,et al.  Zhang Neural Network for Online Solution of Time-Varying Linear Matrix Inequality Aided With an Equality Conversion , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[42]  Hassan Bevrani,et al.  An Intelligent Droop Control for Simultaneous Voltage and Frequency Regulation in Islanded Microgrids , 2013, IEEE Transactions on Smart Grid.

[43]  Ricardo C. L. F. Oliveira,et al.  Parameter-Dependent LMIs in Robust Analysis: Characterization of Homogeneous Polynomially Parameter-Dependent Solutions Via LMI Relaxations , 2007, IEEE Transactions on Automatic Control.

[44]  T.C. Green,et al.  Modeling, Analysis and Testing of Autonomous Operation of an Inverter-Based Microgrid , 2007, IEEE Transactions on Power Electronics.

[45]  Pedro Luis Dias Peres,et al.  An LMI condition for the robust stability of uncertain continuous-time linear systems , 2002, IEEE Trans. Autom. Control..

[46]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[47]  Saeed Afsharnia,et al.  A robust nonlinear stabilizer as a controller for improving transient stability in micro-grids. , 2017, ISA transactions.

[48]  Bin Wang,et al.  Probability assessment for power system voltage stability margin with renewable energy source using slice sampling , 2017 .

[49]  Nadia Nedjah,et al.  Fuzzy Systems Engineering , 2005 .