1. K-State home
  2. »Wu Research Group
  3. »Publications

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/


Book Chapters

[B1] M. Shahidehpour and H. Wu, “Hourly demand response as an alternative to flexible ramping of thermal units in stochastic operation of electric power systems with non-dispatchable energy sources”, Handbook of Clean Energy Systems, June 2015.

Refereed Journal Publications

[J37] B. Liu and H. Wu, “Optimal D-FACTS placement in moving target defense against false data injection attacks”, IEEE Transactions on Smart Grid, In Press.

[J36] K. Jhala, B. Natarajan, A. Pahwa and H. Wu, "Stability of Transactive Energy Market-Based Power Distribution System Under Data Integrity Attack," in IEEE Transactions on Industrial Informatics, vol. 15, no. 10, pp. 5541-5550, Oct. 2019.

[J35] M. Faqiry, L. EdmondsH. Wu, and A. Pahwa, “Distribution LMP-based transactive day-ahead market with variable renewable generation”, Applied EnergyIn Press. 

[J34] A. M. Palani, H.Wu, M. M. Morcos, "A Frank-Wolfe Progressive Hedging Algorithm for Improved Lower Bounds in Stochastic SCUC", IEEE Access (Early Access), July 2019. (Link)

[J33] H. Zhang, T. Xu, H. Wu, B. Liu, and M. Faqiry, "Risk-based stochastic day-ahead operation for data centre virtual power plants", IET Renewable Power Generation, Vol. 13, 2019. (Link)

[J32] M. Faqiry, L. Wang, and H. Wu, “HEMS-enabled transactive flexibility in real-time operation of three-phase unbalanced distribution systems”, Journal of Modern Power Systems and Clean Energy, In Press. (Link) 

[J31] T. Liu, J. Tian, J, Wang, H. Wu, L. Sun, Y. Zhou, C. Shen, X. Guan. "Integrated security threats and defense of cyber-physical systems," Acta Automatica Sinica, vol. 45, no. 1, pp: 5-24, 2019 (Link)

[J30] S. Das, M. N. Faqiry, A. K.  Zarabie, and H. Wu, “Game theoretic equilibrium analysis of energy auction in microgrid,” International Journal of Electrical and Electronic Engineering & Telecommunications, vol. 8, no. 1, pp: 39-44, January 2019 (Link)

[J29] Y. Gu, H. Jiang, J. J. Zhang, Y. Zhang, H. Wu, and E. Muljadi, "Multi-Timescale Three-Phase Unbalanced Distribution System Operation With Variable Renewable Generations," IEEE Transactions on Smart Grid (Early Access), July 2018. (Link)

[J28] H. Wu and M. Shahidehpour, “Applications of ZigBee wireless sensor networks for area coverage in microgrids,” IEEE Transactions on Smart Grid, vol. 9, no. 3, pp. 1590-1598, May 2018. (Link)

[J27] M. N. Faqiry, L. Edmonds, H. Zhang, A. Khodaei and H. Wu, "Transactive-market-based operation of distributed electrical energy storage with grid constraints," Energies, vol. 10, no. 9, Sept. 2017. (Link)

[J26] I. Alsaidan, A. Alanazi, W. Gao, H. Wu and A. Khodaei, “State-of-the-art in microgrid-integrated distributed energy storage sizing,” Energies, vol. 10, no. 9, Sept. 2017. (Link)

[J25] H. Wu, I. Krad, A. Florita, E. Ibanez, J. Zhang, and B.M. Hodge, and E. Ela, “Stochastic multi-timescale power system operations with variable wind generation,” IEEE Transactions on Power Systems, vol. 32, no. 5, pp. 3325- 3337, Sept. 2017. (Link)

[J24] I. Krad, D. W. Gao, E. Ela, E. Ibanez, and H. Wu, “Analyzing the use of operating reserve demand curves in power system operations,” IET Renewable Power Generation, vol. 11, no. 7, pp. 959-965, June, 2017. (Link)

[J23] B. Palmintier, E. Hale, T. Hansen, W. Jones, D. Biagioni, H. Sorensen, H. Wu, and B.M. Hodge “IGMS: An integrated ISO-to-appliance scale grid modeling system,” IEEE Transactions on Smart Grid, vol. 8, no. 3, pp. 1525-1534, May 2017. (Link)

[J22] I. Krad, D. W. Gao and H. Wu, “An assessment of flexibility reserves in stochastic modeling at multiple timescales,” CSEE Journal of Power and Energy Systems, vol. 3, no. 1, pp. 84-92, March 2017. (Link)

[J21] S. Chen, T. Liu, F. Gao, J. Ji, Z. Xu, B. Qian, H. Wu, and X. Guan, “Butler, not servants: A human-centric smart home energy management system,” IEEE Communications Magazine (IF 10.44), vol. 55, no. 2. pp. 27-33, Feb. 2017. (Link)

[J20] M. Cui, J. Zhang, H. Wu, and B.M. Hodge, “Wind-friendly flexible ramping product design in multi-timescale power system operations,” IEEE Transactions on Sustainable Energy, vol. 8, no. 3, pp. 1064-1075, Jan. 2017. (Link)

[J19] Q. Wang, H. Wu, A. Florita, C.B. Martinez, and B.M. Hodge, “The value of improved wind power forecasting: grid flexibility quantification, ramp capability analysis, and impacts of electricity market operation timescales,” Applied Energy, vol. 184, pp. 696-713, Dec. 2016. (Link)

[J18] A. Pratt, D. Krishnamurthy, M. Ruth, H. Wu, M. Lunacek, and P. Vaynshenk, “Transactive home energy management systems and distribution grid impact,” IEEE Electrification Magazine, vol. 4, no. 4, pp. 8-14, Dec. 2016. (Link)

[J17] C. Dai, L. Wu and H. Wu, “A multi-band uncertainty set based robust SCUC with spatial and temporal budget constraints,” IEEE Transactions on Power Systems, vol. 31, no. 6, pp. 4988-5000, Nov. 2016. (Link)

[J16] M.E Khodayar, S. Manshadi, H. Wu, and J. Lin, “Multiple period ramping processes in day-ahead electricity markets,” IEEE Transactions on Sustainable Energy, vol. 7, no. 4, pp. 1634-1645, Oct. 2016. (Link)

[J15] Q. Wang, C.B. Martinez, H. Wu, A. Florita, and B.M. Hodge, “Quantifying the economic and grid reliability impacts of improved wind power forecasting,” IEEE Transactions on Sustainable Energy. vol. 7, no. 4, pp. 1525-1537, Oct. 2016. (Link)

[J14] A. Kargarian, Y. Fu, and H. Wu, “Chance-constrained system of system based decentralized operation of power systems,IEEE Transactions on Power Systems, vol. 31, no. 5, pp. 3404-3413, Sept. 2016. (Link)

[J13] H. Wu, M. Shahidehpour, A. Alabdulwahab, and A. Abusorrah. “A game theoretic approach to risk-based optimal bidding strategies for electric vehicle aggregators in electricity markets with variable wind energy resources,” IEEE Transactions on Sustainable Energy, vol. 7, no. 1, pp. 374-385, Jan. 2016. (Link)

[J12] M.E. Khodayar and H. Wu. “Demand Forecasting in the Smart Grid Paradigm: Features and Challenges,” The Electricity Journal, 2015. (Link)

[J11] H. Wu, M. Shahidehpour, A. Alabdulwahab, and A. Abusorrah. “Thermal generation flexibility with ramping costs and hourly demand response in stochastic security-constrained scheduling of variable energy sources,” IEEE Transactions on Power Systems, vol. 30, no. 6, pp. 2955-2964, Nov. 2015. (Link)

[J10] H. Wu, M. Shahidehpour, A. Alabdulwahab, and A. Abusorrah. “Demand response exchange in the stochastic day-ahead scheduling with variable renewable generation,” IEEE Transactions on Sustainable Energy. vol. 6, no. 2, pp. 516-525, Feb. 2015. (Link)

[J9] H. Wu, M. Shahidehpour, Z. Li, and W. Tian. “Chance-constrained day-ahead scheduling in stochastic power system operations,” IEEE Transactions on Power Systems. vol. 29, no. 4, pp. 1583-1591, July 2014. (Link)

[J8] H. Wu and M. Shahidehpour. “Stochastic SCUC with variable wind penetration using constrained ordinal optimization,” IEEE Transactions on Sustainable Energy. vol. 5, no. 2, pp. 379-388, April 2014. (Link)

[J7] H. Wu, M. Shahidehpour, and M. E. Khodayar, “Hourly demand response in day-ahead scheduling for reducing generating unit ramping cost,” IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 2446-2454, Aug. 2013. (Link)

[J6] H. Wu, M. Shahidehpour and A. Al-Abdulwahab, “Hourly demand response in day-ahead scheduling for managing the variability of renewable energy,” IET Generation Transmission and Distribution, vol. 7, no. 3, pp 226-234, March 2013. (Link)

[J5] H. Wu, X. Guan, Q. Zhai, et al, “A systematic method for constructing feasible solution to SCUC problem with analytical feasibility conditions,” IEEE Transactions on Power Systems, vol. 27, no. 1, pp.526-534, Feb. 2012. (Link)

[J4] H. Wu, Q. Zhai, X. Guan, et al. “Security-constrained unit commitment based on a realizable energy delivery formulation,” Mathematical Problems in Engineering, 2012. (Link)

[J3] Q. Zhai, X. Guan, J. Cheng, and H. Wu, “Fast identification of inactive security constraints in SCUC problems,” IEEE Transactions on Power Systems, vol. 25, no. 4, pp. 1946-1954, Nov. 2010. (IEEE Transactions Prize Paper Award Finalist) (Link)

[J2] H. Wu, X. Guan, Q. Zhai, et al. “Short-term hydrothermal scheduling using mixed-integer linear programming,” Proceedings of the Chinese Society of Electrical Engineering. vol. 29, no. 28, pp. 82-88. Oct. 2009.

[J1] J. Jia, Q. Zhai, X. Guan, and H. Wu. “Mixed integer programming based method for short-term scheduling of hydroelectric plants,” Journal of Xi'an Jiaotong University. Vol. 42, no. 8, pp. 82-88, 2008.

Refereed Conference Publications and Technical Reports

[C28] B. Liu, L. Edmonds, H. Zhang, and H. Wu, “An interior-point solver for optimal power flow problems considering distributed FACTS devices”, 2020 IEEE Kansas Power & Energy Conference, In Press.

[C27] L. Edmonds, B. Liu, H. Zhang, C. Scoglio, D. Gruenbacher, and H. Wu, “Blockchain-enabled transactive home energy management systems in distribution networks”, 2020 IEEE Kansas Power & Energy Conference, In Press.

[C26] L. Edmonds, M. Nazif Faqiry, H. Wu and A. Palani, “Three-phase distribution location marginal price to manage unbalanced variable renewable energy”, 2020 IEEE Power & Energy Society General Meeting, In Press.

[C25] H. Kanakri, A. Pahwa, M. N.  Faqiry, H. Wu, and B. Natarajan, “Residential aggregator risk-constrained profit maximization under demand response”, 2020 IEEE PES Innovative Smart Grid Technologies Conference (ISGT), In Press.

[C24] B. LiuH. Wu, Y. Zhang, R. Yang, A. Bernstain, "Robust matrix completion state estimation in distribution systems," 2019 IEEE PES General Meeting, (Accepted for Publication) (Link)

[C23] M. Easley, L. Haney, J. Paul, K. Fowler, and H. Wu, “Deep neural networks for short-term load forecasting in ERCOT system”, IEEE Texas Power and Energy Conference (TPEC) 2018 (It was a Senior Design Project, and received 2018 IEEE TPEC BEST PAPER AWARD). (Link)

[C22] B. Sparn, D. Krishnamurthy, A. Pratt, M. Ruth, and H. Wu, “Hardware-in-the-loop (HIL) simulations for smart grid impact studies”, 2018 IEEE PES General Meeting. Portland, OR, USA, August, 2018 (Link)

[C21] B. Liu, H. Wu, A. Pahwa, F. Ding, E. Ibrahim, T. Liu, “Hidden moving target defense against false data injection in distribution network reconfiguration”, 2018 IEEE PES General Meeting. Portland, OR, USA, August, 2018. (Link)

[C20] M. Faqiry, L. Wang, H. Wu, D. Krishnamurthy and B. Palmintier, “ADP-based home energy management system under uncertainty: A case study using DYNAMO”, 2018 IEEE PES General Meeting. Portland, OR, USA, August, 2018. (Link)

[C19] M. N. Faqiry, A. K. Zarabie, F. Nassery, H. Wu, S. Das “A Day Ahead Market Energy Auction for Distribution System Operation” https://arxiv.org/abs/1701.03205, IEEE International Conference on Electro Information Technology (EIT 2017). (Link)

[C18] S. Veda, H, Wu, M, Martin, and M. Baggu, “Developing use cases for evaluation of ADMS applications to accelerate technology adoption”, 2017 IEEE GreenTech. (Link) 

[C17] A. Pratt, M. Ruth, S. Mittal, D. Krishnamurthy, B. Sparn, H. Wu, J. Marks, M. Lunacek and W. Jones, “Hardware-in-the-Loop simulation of a distribution system with air conditioners under model predictive control” 2017 IEEE PES General Meeting, Accepted. (Link)

[C16] J. Ji, T. Liu, C. Shen, H. Wu, W. Liu, M. Su, Z. jia, and S. Chen, “A human-centered smart home system with wearable-sensor behavior analysis”, IEEE Conference on Automation Science and Engineering, Fort Worth, Texas, US, August, 2016. (Link)

[C15] B. Palmintier, D. Krishnamurthy and H. Wu, "Design flexibility for uncertain distributed generation from photovoltaics," Innovative Smart Grid Tech, 2016. (Link)

[C14] B. Palmintier, E. Hale, T. Hansen, W. Jones, D. Biagioni, K. Baker, H. Wu, J. Giraldez, H. Sorensen, M. Lunacek, N. Merket, J. Jorgenson, and B. M. Hodge, “Final Technical Report: Integrated Distribution-Transmission Analysis for Very High Penetration Solar PV”, NREL/TP-5D00-65550. (Link)

[C13] Q. Wang, H. Wu, B.M. Hodge, W. Li and C. Luo, “Analyzing the impacts of increased wind power on generation revenue sufficiency”, 2016 IEEE PES General Meeting.(Best Conference paper on Planning, Operations and Electricity Markets) (Link)

[C12] M. Cui, J. Zhang, H. Wu, et. al, “Wind power ramping product for increasing power system flexibility”, 2016 IEEE/PES Transmission and Distribution Conference and Exposition. (Link)

[C11] Y. Zhang, R. Yang, H. Wu, H. Jiang, B. Mather, B. Lundstrom, “Coupling energy management systems at distribution and home level by utilizing look-ahead distribution state estimation”, IEEE PES General Meeting, Denver Colorado, USA, July 2015.

[C10] H. Wu, E. Ela, I. Krad, et al, “An assessment of the impact of stochastic day-ahead SCUC on economic and reliability metrics at multiple timescales”, 2015 IEEE PES General Meeting. (Best Conference Paper on Power System Modeling and Simulation) (Link)

[C9] H. Wu, A. Pratt, and S. Chakraborty, “Stochastic Optimal Operation of Residential Appliances with Variable Energy Sources”, 2015 IEEE PES General Meeting, Denver, CO, USA. (Link)

[C8] M. Ruth, A. Pratt, W. Jones, H. Wu, and M. Lunacek, “Effects of Home Energy Management Systems on Distribution Utilities and Feeders Under Various Market Structures”, 23rd International Conference and Exhibition on Electricity Distribution, (In Press) (Link)

[C7] M. Shahidehpour and H. Wu. “Stochastic operation security with demand response and renewable energy sources,” 2012 Power & Energy Society General Meeting, San Diego, California, USA, July 2012. (Link)

[C6] H. Ye, Q. Zhai, Y. Ge, and H. Wu. “A revised subgradient method for solving the dual problem of hydrothermal scheduling,” 2011 Asia-Pacific Power and Energy Engineering Conference, Wuhan, China, March 2011. (Link)

[C5] Q. Feng and H. Wu. “Information technology-based smart energy system,” 2011 International Conference on Energy, Environment and Sustainable Development, Shanghai, China, Oct. 2011. (Link)

[C4] Q. Zhai, H.Wu, and X. Guan. “Analytical conditions for determining feasible commitment states of SCUC problems,” 2010 Power & Energy Society General Meeting, Minneapolis, Minnesota, USA, July 2010. (Link)

[C3] Q. Zhai and H. Wu. “Several notes on Lagrangian Relaxation for Unit Commitment,” 29th Chinese Control Conference, Beijing, China, July 2010. (Link)

[C2] H. Wu, X. Guan, Q. Zhai, et al. “Security-constrained generation scheduling with feasible energy delivery,” 2009 Power & Energy Society General Meeting, Calgary, Canada, July 2009. (Link)

[C1] J. Jia, Q. Zhai, X. Guan, and H Wu. Optimal short term scheduling of cascaded hydroelectric chain plants with pumped-storage units. 27th Chinese Control Conference, Kunming, China, July 2008. (Link)

Software Record/Copyright

[S4] H. Wu, B. Palmintier, and D. Krishnamurthy. dynamo. Computer Software. USDOE Office of Energy Efficiency and Renewable Energy (EERE). 25 Jun. 2018. Web. doi:10.11578/dc.20180626.1. (Link)

[S3] H. Wu, A. Pratt, and S. Chakraborty. Home Energy Management System, Software Record, Department of Energy (DOE).

[S2] H. Wu, H. Ye, B. Tong, J. Yang, et al. Web-Based Platform for Power System Analysis and Optimization, Software Copyright 2009SR049529, Oct. 2009.

[S1] M. Ruth, A. Pratt, W. Jones, M. Lunacek, S. Mittal, and H. Wu. Integrated Energy System Model, Software Record, National Renewable Energy Laboratory.