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IRP4 — ICESO Publications

IRP4 —  ICESO Publications

Biswas, Partha, Awad Noor, Suganthan Ponnuthurai, Ali Mostafa, and Amaratunga Gehan. 2017. “Minimizing THD of Multilevel Inverters with Optimal Values of DC Voltages and Switching Angles Using LSHADE-EpSin Algorithm.” In . https://doi.org/10.1109/CEC.2017.7969298.

Biswas, Partha, Suganthan Ponnuthurai, and Amaratunga Gehan. 2017. “Decomposition Based Multi-Objective Evolutionary Algorithm for Windfarm Layout Optimization.” Renewable Energy, Elsevier 115 (August): 326–37. https://doi.org/10.1016/j.renene.2017.08.041.

Biswas, Partha, Mallipeddi Rammohan, Suganthan Ponnuthurai, and Amaratunga Gehan. 2017. “A Multiobjective Approach for Optimal Placement and Sizing of Distributed Generators and Capacitors in Distribution Network.” Applied Soft Computing, Elsevier 60: 268–80. https://doi.org/10.1016/j.asoc.2017.07.004.

Biswas, Partha, Ponnuthurai N. Suganthan, and Gehan A. J. Amaratunga. 2017. “Optimal Placement of Wind Turbines in a Windfarm Using L-SHADE Algorithm.” In . https://doi.org/10.1109/CEC.2017.7969299.

Biswas, Partha, Ponnuthurai N. Suganthan, and Gehan A. J. Amaratunga. 2017. “Optimal Power Flow Solutions Incorporating Stochastic Wind and Solar Power.” Energy Conversion and Management, Elsevier 148 (July): 1194–1207. https://doi.org/10.1016/j.enconman.2017.06.071.

Biswas, Partha, Ponnuthurai N. Suganthan, and Gehan A. J. Amaratunga. 2017. “Minimizing Harmonic Distortion in Power System with Optimal Design of Hybrid Active Power Filter Using Differential Evolution.” Applied Soft Computing, Elsevier 61 (August): 486–96. https://doi.org/10.1016/j.asoc.2017.08.031.

Biswas, Partha, Ponnuthurai N. Suganthan, Rammohan Mallipeddi, and Gehan A. J. Amaratunga. 2017. “Optimal Power Flow Solutions Using Differential Evolution Algorithm Integrated with Effective Constraint Handling Techniques.” Engineering Applications of Artificial Intelligence 68 (November): 81–100. https://doi.org/10.1016/j.engappai.2017.10.019.

Chen, Tengpeng, Eddy Y.S. Foo, K. V. Ling, and Xuebing Chen. 2017. “Distributed State Estimation Using a Modified Partitioned Moving Horizon Strategy for Power Systems.” Sensors 17 ((10):2310). https://doi.org/DOI: 10.3390/s17102310.

Chen, Tengpeng, Ashok Krishnan, and Tri Tran. 2015. “Application of Partition-Based Moving Horizon Estimation to Power System State Estimation.” In Proceedings of the 7th IEEE PES Asia-Pacific Power and Energy Engineering Conference (PES APPEEC’15), 1–5. Brisbane, Australia: IEEE. https://doi.org/10.1109/APPEEC.2015.7380907.

Chen, Tengpeng, Tri Tran, Dexiang Zhou, W-K. Ho, and K. V. Ling. 2014. “Iterated Moving Horizon Estimation for Power Systems.” In 2014 International Conference on Control, Automation and Information Sciences (ICCAIS), 81–86. IEEE. https://doi.org/10.1109/ICCAIS.2014.7020573.

Chen, Tengpeng, Dexiang Zhou, Tri Tran, Catharine Kastner, K. V. Ling, K-J. Tseng, and Jan M. Maciejowski. 2015. “Distributed Moving Horizon Estimation for Power Systems.” In , 1–5. IEEE. https://doi.org/10.1109/PESGM.2015.7286281.

Chen, Xuebing, Tengpeng Chen, King Jet Tseng, Yuhao Sun, and Gehan Amaratunga. 2016a. “Customized Optimal ΜPMU Placement Method for Distribution Networks.” In , 135–40. IEEE. https://doi.org/10.1109/APPEEC.2016.7779485.

Chen, Xuebing, Tengpeng Chen, King Jet Tseng, Yuhao Sun, and Gehan A. J. Amaratunga. 2016b. “Hybrid Approach Based on Global Search Algorithm for Optimal Placement of ΜPMU in Distribution Networks.” In , 559–63. IEEE. https://doi.org/10.1109/ISGT-Asia.2016.7796445.

Chen, Xuebing, King Jet Tseng, and Gehan A. J. Amaratunga. 2015. “State Estimation for Distribution Systems Using Micro-Synchrophasors.” In Proceedings of the 7th IEEE PES Asia-Pacific Power and Energy Engineering Conference (PES APPEEC’15), 1–5. Brisbane, Australia: IEEE. https://doi.org/10.1109/APPEEC.2015.7381051.

Dang, Thuy V., and K. V. Ling. 2014. “Moving Horizon Estimation on a Chip.” In 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 431–37. Singapore: IEEE. https://doi.org/10.1109/ICARCV.2014.7064344.

Dang, Thuy V., K. V. Ling, and Jan M. Maciejowski. 2015. “Embedded ADMM-Based QP Solver for MPC with Polytopic Constraints.” In , 3446–51. IEEE. https://doi.org/10.1109/ECC.2015.7331067.

Dang, Thuy V., K. V. Ling, and Jan M. Maciejowski. 2015. “Embedded ADMM-Based Quadratic Programming Solver for Model Predictive Control with Polytopic Constraints.” In Proceedings of the European Control Conference (ECC’15), 3446–51. Linz, Austria: IEEE. https://doi.org/10.1109/ECC.2015.7331067.

Dang, Thuy V., K. V. Ling, and Daniel E. Quevedo. 2015. “Event-Triggered Anytime Control with Two Controllers.” In 2015 54th IEEE Conference on Decision and Control (CDC), 4157–62. Osaka, Japan: IEEE. https://doi.org/10.1109/CDC.2015.7402867.

Dang, Thuy V., K-V. Ling, and Jan M. Maciejowski. 2017. “Banded Null Basis and ADMM for Embedded MPC.” In The 20th World Congress of the International Federation of Automatic Control, 13712–17. Toulouse, France: International Federation of Automatic Control. https://doi.org/doi.org/10.1016/j.ifacol.2017.08.2172.

Dang, Thuy V., Tri Tran, and K. V. Ling. 2015. “Numerical Algorithms for Quadratic Programming in Model Predictive Control - An Overview.” In Proceedings of International Conference on Modelling of Complex Systems and Environment, 1–6. Danang, Vietnam. https://doi.org/10.13140/RG.2.1.1885.4885.

Foo, Eddy Y.S. 2016. “How Real Is Real? Comparative Studies on NTU Microgrid Testbed.” User Conference presented at the RT16 OPAL-RT User Conference, Munich, Germany, June 7. http://www.opal-rt.com/sites/default/files/file/Events/RT16/RT16%20GUIDE%20WEB.pdf.

Foo, Eddy Y.S., Hoay Beng Gooi, and S. X. Chen. 2015. “Multi-Agent System for Distributed Management of Microgrids.” IEEE Transactions on Power Systems 30 (1): 24–34. https://doi.org/10.1109/TPWRS.2014.2322622.

Ho, Weng Khuen, Tengpeng Chen, K.V. Ling, and Lu Sun. 2017. “Variance Analysis of Robust State Estimation in Power Systems Using Influence Function.” ELSEVIER, International Journal of Electrical Power & Energy Systems, 92: 53–62. https://doi.org/10.1016/j.ijepes.2017.04.009.

Jayabarathi, T., T. Raghunathan, B. R. Adarsh, and Ponnuthurai N. Suganthan. 2016. “Economic Dispatch Using Hybrid Grey Wolf Optimizer.” Energy 111 (September): 630–41. https://doi.org/10.1016/j.energy.2016.05.105.

Kamala, Srinivasa Rao. 2017. “Stability Enhancement Issues of Power Grid.” In Communication, Control and Security Challenges for the Smart Grid, First, 1:405–50. IET Power and Energy 95. London, United Kingdom: The Institution of Engineering and Technology (IET). http://digital-library.theiet.org/content/books/10.1049/pbpo095e_ch14.

Krishnan, Ashok, V. Patil Bhagyesh, P. S. V. Nataraj, Jan M. Maciejowski, and K. V. Ling. 2017. “Model Predictive Control of a CSTR: A Comparative Study among Linear and Nonlinear Model Approaches.” In 2017 Indian Control Conference (ICC). Guwahati, India: IEEE. https://doi.org/10.1109/INDIANCC.2017.7846472.

Krishnan, Ashok, Y. S. Eddy Foo, and Bhagyesh V. Patil. 2017. “Hybrid Model Predictive Control Framework for the Thermal Unit Commitment Problem Including Start-up and Shutdown Power Trajectories.” In . Vol. 50. Toulouse, France: International Federation of Automatic Control (IFAC). https://doi.org/doi.org/10.1016/j.ifacol.2017.08.1181.

Krishnan, Ashok, H. B. Gooi, K. V. Ling, and V. Patil Bhagyesh. 2016. “Predictive Control Based Framework for Optimal Scheduling of Combined Cycle Gas Turbines.” In . Boston MA, USA: IEEE. https://doi.org/10.1109/ACC.2016.7526622.

Krishnanand, K. R., Joymala Moirangthem, Saurabh Bhandari, and S. K. Panda. 2015. “Harmonic Load Modeling for Smart Microgrids.” In , 68–72. IEEE. https://doi.org/10.1109/ICBEST.2015.7435867.

Krishnanand, K. R., Joymala Moirangthem, and S. K. Panda. 2015. “Selective Harmonic Optimization for Flexible Single-Phase Operation of Cascaded H-Bridge Multilevel Inverters.” In Proceedings of the 1st Power, Communication and Information Technology Conference (PCITC’15), 918–23. Bhubaneswar, India: IEEE. https://doi.org/10.1109/PCITC.2015.7438127.

Lynn, Nandar, Rammohan Mallipeddi, and Ponnuthurai Nagaratnam Suganthan. 2015. “Differential Evolution with Two Subpopulations.” In Swarm, Evolutionary, and Memetic Computing, edited by Bijaya Ketan Panigrahi, Ponnuthurai N. Suganthan, and Swagatam Das, 8947:1–13. Cham: Springer International Publishing. http://link.springer.com/10.1007/978-3-319-20294-5_1.

Moirangthem, Joymala, K. R. Krishnanand, S. K. Panda, and Gehan A. J. Amaratunga. 2016. “GIS Integrated Automation of a near Real-Time Power-Flow Service for Electrical Grids.” In , 48–53. IEEE. https://doi.org/10.1109/ICSET.2016.7811755.

Patil, Bhagyesh V. 2015. “The Bernstein Branch-and-Prune Constrained Global Optimization Algorithm for MINLPs.” In Proceedings of the 6th International Conference on Mathematical Aspects of Computer and Information Sciences (MACIS’15). Berlin, Germany.

Patil, Bhagyesh V. 2016. “The Bernstein Branch-and-Prune Algorithm for Constrained Global Optimization of Multivariate Polynomial MINLPs.” In Mathematical Aspects of Computer and Information Sciences, edited by Ilias S. Kotsireas, Siegfried M. Rump, and Chee K. Yap, 9582:560–75. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-32859-1_48.

Patil, Bhagyesh V., Jan M. Maciejowski, and K. V. Ling. 2016. “Nonlinear Model Predictive Control Based on Bernstein Global Optimization with Application to a Nonlinear CSTR.” In , 471–76. IEEE. https://doi.org/10.1109/ECC.2016.7810329.

Patil, Bhagyesh V., L. P. M. I. Sampath, Ashok Krishnan, K. V. Ling, and Hoay Beng Gooi. 2016. “Examining the Bernstein Global Optimization Approach to Optimal Power Flow Problem.” In , 090022. https://doi.org/10.1063/1.4965386.

Qiu, Xueheng, Ye Ren, Ponnuthurai N. Suganthan, and Gehan A. J. Amaratunga. 2017. “Empirical Mode Decomposition Based Ensemble Deep Learning for Load Demand Time Series Forecasting.” Applied Soft Computing 54: 246–55. https://doi.org/DOI10.1016/j.asoc.2017.01.015.

Qiu, Xueheng, Ponnuthurai N. Suganthan, and Gehan A. J. Amaratunga. 2017. “Short-Term Electricity Price Forecasting with Empirical Mode Decomposition Based Ensemble Kernel Machines.” In Procedia Computer Science, 108:1308–17. https://doi.org/10.1016/j.procs.2017.05.055.

Qiu, Xueheng, Le Zhang, Ye Ren, Ponnuthurai N. Suganthan, and Gehan A. J. Amaratunga. 2014. “Ensemble Deep Learning for Regression and Time Series Forecasting.” In 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning (CIEL), 1–6. Orlando, FL: IEEE. https://doi.org/10.1109/CIEL.2014.7015739.

Qiu, Xueheng, Le Zhang, Ponnuthurai N. Suganthan, and Gehan A. J. Amaratunga. 2017. “Oblique Random Forest Ensemble via Least Square Estimation for Time Series Forecasting.” Information Sciences 420 (December): 249–62. https://doi.org/10.1016/j.ins.2017.08.060.

Qu, B. Y., J. J. Liang, Y. S. Zhu, and Ponnuthurai N. Suganthan. 2017. “Solving Dynamic Economic Emission Dispatch Problem Considering Wind Power by Multi-Objective Differential Evolution with Ensemble of Selection Method.” Natural Computing, January, 1–9. https://doi.org/10.1007/s11047-016-9598-6.

Qu, B. Y., J. J. Liang, Y. S. Zhu, Z. Y. Wang, and Ponnuthurai N. Suganthan. 2016. “Economic Emission Dispatch Problems with Stochastic Wind Power Using Summation Based Multi-Objective Evolutionary Algorithm.” Information Sciences 351 (July): 48–66. http://dx.doi.org/10.1016/j.ins.2016.01.081.

Ren, Ye, Xueheng Qiu, and Ponnuthurai N. Suganthan. 2014. “Empirical Mode Decomposition Based Adaboost-Backpropagation Neural Network Method for Wind Speed Forecasting.” In 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning (CIEL), 1–6. Orlando, FL: IEEE. https://doi.org/10.1109/CIEL.2014.7015741.

Ren, Ye, Xueheng Qiu, Ponnuthurai N. Suganthan, and Gehan Amaratunga. 2015. “Detecting Wind Power Ramp with Random Vector Functional Link (RVFL) Network.” In Proceedings of 2015 IEEE Symposium Series on Computational Intelligence, 687–94. Cape Town, South Africa: IEEE. https://doi.org/10.1109/SSCI.2015.105.

Ren, Ye, Ponnuthurai N. Suganthan, N. Srikanth, and Gehan A. J. Amaratunga. 2015. “Random Vector Functional Link Network for Short-Term Electricity Load Demand Forecasting.” Information Sciences 367–368: 1078–93. https://doi.org/10.1016/j.ins.2015.11.039.

Ren, Ye, Le Zhang, and Ponnuthurai N. Suganthan. 2016. “Ensemble Classification and Regression-Recent Developments, Applications and Future Directions.” IEEE Computational Intelligence Magazine 11 (1): 41–53. https://doi.org/10.1109/MCI.2015.2471235.

Rigo-Mariani, Rémy, K. V. Ling, and Jan M. Maciejowski. 2018. “A Generic Method to Model CO2 Emission Performances of Combined-Cycle Power Plants for Environmental Unit Commitment.” EnergyTechnology, CREATE Research Campus, 6 (1): 72–83. https://doi.org/10.1002/ente.201700552.

Sun, Yuhao, Xuebing Chen, Shiliang Yang, Rusli, King Tseng, and Gehan Amaratunga. 2017. “Micro PMU Based Monitoring System for Active Distribution Networks.” In . Hawaii, USA. https://doi.org/10.1109/PEDS.2017.8289180.

Tran, Tri. 2015. “Self-Reliant Control Systems.” In Proceedings of the 5th International Conference on Control, Automation and Information Science (IEEE). Seoul, South Korea: IEEE.

Tran, Tri. 2014. “State Feedback Control of Explicitly-Bounded Nonlinearly-Coupled Interconnected Systems.” In 2014 International Conference on Control, Automation and Information Sciences (ICCAIS), 30–35. IEEE. https://doi.org/10.1109/ICCAIS.2014.7020563.

Tran, Tri. 2015. “A New Architecture for Reliable Computerized-Control System via IoT Enabled Connectivity.” In Proceedings of the International Conference on Modelling of Complex Systems and Environment, 6–9. Danang, Vietnam. https://doi.org/10.13140/RG.2.1.2934.0649.

Tran, Tri. 2015. “Periodic Economic Model Predictive Control with Bounded-State Stability.” In Proceedings of the 5th Australian Control Conference (AUCC’15), 253–58. Gold Coast, Australia: IEEE. http://ieeexplore.ieee.org/document/7361943/.

Tran, Tri. 2016. “A Private Machine-Cloud Architecture and Self-Reliant Controllers for Operational Technology Systems.” In Proceedings of 2016 International Conference on Control, Automation and Information Sciences, 214–19. Ansan, Seoul, Korea: IEEE. https://doi.org/10.1109/ICCAIS.2016.7822458.

Tran, Tri. 2017. “Application of GDC to the Automatic Generation Control Problem.” In Proceedings of the 6th International Conference on Control, Automation and Information Science (IEEE). Thailand: IEEE. http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1802677.

Tran, Tri. 2017. “Linear Matrix Inequalities for Dissipative Constraints in Stabilization with Relaxed Non-Monotonic Lyapunov Function.” In Proceedings of the 6th International Conference on Control, Automation and Information Science (IEEE). Thailand: IEEE. http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1802677.

Tran, Tri. 2017. “Stability from the Stabilization with General Dissipativity Constraint.” In Proceedings of the 6th International Conference on Control, Automation and Information Science (IEEE). Thailand: IEEE. http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1802677.

Tran, Tri, and Tengpeng Chen. 2015. “Dissipativity Constraint for Distributed Power System State Estimation.” In Proceedings of the 4th International Conference on Control, Automation, and Information Science (ICCAIS’15), 360–65. Changshu, China: IEEE. https://doi.org/10.1109/ICCAIS.2015.7338693.

Tran, Tri, and Q. P. Ha. 2017. “Perturbed Cooperative-State Feedback Strategy for Model Predictive Networked Control of Interconnected Systems.” ISA Transactions 72 (September): 110–21. https://doi.org/doi.org/10.1016/j.isatra.2017.09.017.

Tran, Tri, and Q. P. Ha. 2018. A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems. 1st ed. Springer Nature Singapore. http://www.springer.com/in/book/9789811084072.

Tran, Tri, and Q. P. Ha. 2014. “Dependable Control Systems with Self-Recovery Constraint.” In 2014 International Conference OnControl, Automation and Information Sciences (ICCAIS), 87–92. IEEE. https://doi.org/10.1109/ICCAIS.2014.7020574.

Tran, Tri, and Q. P. Ha. 2015. “Modeling of Washing Circuits in Mining - A Networked System Approach.” In Proceedings of International Conference on Modelling of Complex Systems and Environment, 123–31. Danang, Vietnam. https://doi.org/10.13140/RG.2.1.1744.1767.

Tran, Tri, and Q. P. Ha. 2015. “Dependable Control Systems with Internet of Things.” ISA Transactions, August. https://doi.org/10.1016/j.isatra.2015.08.008.

Tran, Tri, K. V. Ling, and Jan M. Maciejowski. 2014. “Economic Model Predictive Control - A Review.” In Proceedings of the 31st ISARC, Sydney, Australia, 35–42. The 31st International Symposium on Automation and Robotics in Construction and Mining (ISARC 2014). http://www.iaarc.org/publications/2014_proceedings_of_the_31st_isarc_sydney_australia/economic_model_predictive_control_a_review.html.

Tran, Tri, K. V. Ling, and Jan M. Maciejowski. 2014. “Closed-Loop Development for Dissipativity Constraint.” In 2014 International Conference OnControl, Automation and Information Sciences (ICCAIS), 24–29. IEEE. https://doi.org/10.1109/ICCAIS.2014.7020562.

Tran, Tri, K. V. Ling, and Jan M. Maciejowski. 2014. “Model Predictive Control via Quadratic Dissipativity Constraint.” In 2014 IEEE 53rd Annual Conference on Decision and Control (CDC), 6689–94. IEEE. https://doi.org/10.1109/CDC.2014.7040439.

Tran, Tri, K. V. Ling, Jan M. Maciejowski, and Eddy Y.S. Foo. 2014. “Application of Quadratically-Constrained Model Predictive Control in Power Systems.” In 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 193–98. IEEE. https://doi.org/10.1109/ICARCV.2014.7064303.

Tran, Tri, and Jan M. Maciejowski. 2016. “Control with General Dissipativity Constraint and Non-Monotonic Lyapunov Functions.” In Proceedings of 2016 International Conference on Control, Automation and Information Sciences, 177–82. Ansan, Seoul, Korea: IEEE. https://doi.org/10.1109/ICCAIS.2016.7822456.

Tran, Tri, Jan M. Maciejowski, and K. V. Ling. 2014. “Model Predictive Control of Nonlinear Input-Affine Systems with Feasibility and Stability Constraints.” In 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 992–97. IEEE. https://doi.org/10.1109/ICARCV.2014.7064441.

Tran, Tri, Jan M. Maciejowski, and K. V. Ling. 2016. “A General Dissipativity Constraint for Feedback System Synthesis and Design.” Systems and Control Letters.

Tran, Tri, and M-H Nguyen. 2015. “A Miniature Distributed Power Hardware-In-The-Loop (DPHIL) Power System Simulator with Reduced Voltage and Reduced Power Components.” In Proceedings of International Conference on Modelling of Complex Systems and Environment, 43–47. Danang, Vietnam. https://doi.org/10.13140/RG.2.1.1230.1280.

Tran, Tri, D. Zhou, K. V. Ling, and Jan M. Maciejowski. 2015. “Multiplexed Model Predictive Control of Interconnected Systems.” In Proceedings of IEEE Conference on Decision and Control (CDC’14), 15–17. Los Angeles, CA: IEEE. https://doi.org/10.1109/CDC.2014.7040439.

Yu, Chao, Qing-Guo Wang, Dan Zhang, Lei Wang, and Jiangshuai Huang. 2015. “System Identification in Presence of Outliers.” IEEE Transactions on Cybernetics, 1–1. https://doi.org/10.1109/TCYB.2015.2430356.

Zhang, Tian, Shuai-Xun Chen, Hoay Beng Gooi, and Jan M. Maciejowski. 2017. “A Hierarchical EMS for Aggregated BESSs in Energy and Performance-Based Regulation Markets.” IEEE Transactions on Power Systems 32 (3): 1751–60. https://doi.org/10.1109/TPWRS.2016.2598186.