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Wu Research Group

Contact Information

Hongyu Wu, Ph.D.,

Assistant Professor

Michelle Munson-Serban Simu Keystone Research Faculty Scholar

ECE Department
Kansas State University
3093 Engineering Hall,
1707D Platt St. Manhattan, KS 66506
Office: 785-532-4588

Fax: 785-532-1188

Email: HongyuWu@ksu.edu

Webpage: http://www.ece.k-state.edu/people/faculty/wu/

Conference/Workshop Presentations

H. Wu, “Matrix completion state estimation in low-observability distribution systems”, IEEE PES General Meeting, 2019. 

H. Wu, “Stochastic optimization in smart electrical grid”, Knowledge Discovery in Databases (KDD) Seminar, Kansas State University, Sept. 2018

H. Wu, "Application of wireless sensor network on area coverage in microgrid", 2017 IEEE PES PowerTech, June 2017.

M. N. Faqiry, “A double auction energy trading mechanism among competing agents in a microgrid,” IEEE PES General Meeting, 2016. 

H. Wu, “Home energy management system (HEMS) in smart electrical grid”, Advisory Council Meeting, ECE Department, Kansas State University, Oct. 2016.

H. Wu, “Energy management systems in next-generation power grid”, Black and Veatch Inc., Kansas City, Sept. 2016.

H. Wu, “A game theoretic approach to risk-based optimal bidding strategies for electric vehicle aggregators in electricity markets with variable wind energy resources”, IEEE Power and Energy Society General Meeting, Boston, July 2016.

H. Wu, “Modeling and optimization in smart electricity grid”, Departmental Seminar, Kansas State University, Manhattan, KS, Jan. 2016.

H. Wu, “Stochastic multi-timescale power system operations with increased variable generation and operational flexibilities”, invited talk, Ascend Analytics, Boulder, CO, Oct. 2015.

H. Wu, “Stochastic optimal scheduling of residential appliances with renewable energy sources”, paper forum on Renewable Energy and Energy Storage, IEEE Power and Energy Society General Meeting, Denver, CO, July 2015.

H. Wu, “An assessment of the impact of stochastic Day-ahead SCUC on economic and reliability metrics at multiple timescales”, Best Paper on Power System Modeling and Simulation, IEEE Power and Energy Society General Meeting, Denver, CO, July 2015.

H. Wu, “Reliability, costs, and pricing impacts of various scheduling strategies that can reduce the impact of uncertainty, panel session on Stochastic Scheduling vs. Smart Reserve Requirement, IEEE Power and Energy Society General Meeting, Denver, CO, July 2015.

H. Wu, “Stochastic optimal scheduling of residential appliances with renewable energy sources”, paper forum on Renewable Energy and Energy Storage, IEEE Power and Energy Society General Meeting, Denver, CO, July 2015.

H. Wu, “Computational challenges in stochastic optimization for power systems operation”, Computational Challenges in Energy System Integration (C2ESI) Workshop, Golden, Colorado, July 2015.

H. Wu, “Stochastic modeling at multiple timescale,” Panel Session on Federal Energy Regulatory Commission (FERC)’s Technical Conference: Increasing Real-Time and Day-Ahead Market Efficiency through Improved Software, Washington D.C., June 2014.

M. N. Faqiry, "Game theoretic model of energy trading strategies at equilibrium in microgrids", IEEE North American Power Symposium, Pullman, WA, 2014.

M. N. Faqiry, "An efficient iterative double auction for energy trading in microgrids", IEEE Symposium on Computational Intelligence Applications in Smart Grid, Orlando, FL, 2014.

M. N. Faqiry, “Game theoretic model of energy trading strategies at equilibrium in microgrids,” IEEE PES General Meeting, 2014 (poster).