Biography

Dr. Jun Cao received the B.S. degree from the School of Electrical Engineering, North China Electric Power University, China, in 2006; M.S. degree from School of Electrical Engineering, Zhejiang University, China, in 2009 and awarded the PhD degree from Queen's University of Belfast, UK in 2013.

He worked as an Assistant professor and Associate Professor in North China Electric Power University, China from 2013 to 2016. He also worked as a research associate at University of Oxford. Currently, he is working at the Keele University as a Tenure track research fellowship.

Research and scholarship

Dr. Jun Cao’s research interests are power system stability analysis and operation control, including wind power generation and energy storage systems; dynamic control and optimisation of multi-energy systems which include heat, gas and power networks.

Currently His working on the SEND (Smart Energy Network Demonstrator) Project which is focus on transforming the Keele campus into a living lab for low carbon energy solutions.

  1. Jun Cao, W Du and H F Wang, ‘Optimal Sizing and Control Strategies for Hybrid Energy Storage System as Limited by Grid Frequency Deviations’, IEEE Transaction on Power Systems, Accepted 2018.
  2. Jun Cao, W Du and H F Wang, ‘Weather based Optimal Power Flow with Wind Farms Integration’, IEEE Transaction on Power Systems,  Vol. 31, No. 4, 2016, pp. 3073-3081.
  3. Jun Cao, W Du and H F Wang, ‘An Improved Corrective Security Constrained OPF with Distributed Energy Storage’, IEEE Transaction on Power Systems, Vol. 31, No. 2, 2016, pp. 1537-1545.
  4. Jun Cao, W Du and H F Wang, ‘An Improved Corrective Security Constrained OPF for Meshed AC/DC Grids with Multi-Terminal VSC-HVDC’, Vol. 31, No. 1, 2016, pp. 485-495.
  5. Jun Cao, W Du and H F Wang, ‘Minimization of transmission loss in meshed AC/DC grids with VSC-MTDC networks’, IEEE Transaction on Power Systems, Vol.28, No. 3, 2013, pp. 3047-3055
  6. Jun Cao, W Du and H F Wang, ‘A novel emergency damping control to suppress power system inter-area oscillations’, IEEE Transaction on Power Systems, Vol.28, No. 3, 2013, pp. 3165-3173.

 

Selected Publications

  • Yang D, Tang Q, Zhou B, Bu S, Cao J. 2020. District energy system modeling and optimal operation considering CHP units dynamic response to wind power ramp events. SUSTAINABLE CITIES AND SOCIETY, Article ARTN 102449, vol. 63. link> doi> full text>
  • Cao J, Harrold D, Fan Z, Morstyn T, Healey D, Li K. 2020. Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model. IEEE TRANSACTIONS ON SMART GRID, 4513-4521, vol. 11(5). link> doi> full text>
  • Zhou B, Liu B, Yang D, Cao J, Littler T. 2020. Multi-objective optimal operation of coastal hydro-electrical energy system with seawater reverse osmosis desalination based on constrained NSGA-III. ENERGY CONVERSION AND MANAGEMENT, Article ARTN 112533, vol. 207. link> doi>
  • Carter J, Fan Z, Cao J. 2020. Cell equalisation circuits: A review. JOURNAL OF POWER SOURCES, Article ARTN 227489, vol. 448. link> doi> full text>
  • Gao F, Kang R, Cao J, Yang T. 2019. Primary and secondary control in DC microgrids: a review. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 227-242, vol. 7(2). link> doi> full text>

Full Publications Listshow

Journal Articles

  • Yang D, Tang Q, Zhou B, Bu S, Cao J. 2020. District energy system modeling and optimal operation considering CHP units dynamic response to wind power ramp events. SUSTAINABLE CITIES AND SOCIETY, Article ARTN 102449, vol. 63. link> doi> full text>
  • Cao J, Harrold D, Fan Z, Morstyn T, Healey D, Li K. 2020. Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model. IEEE TRANSACTIONS ON SMART GRID, 4513-4521, vol. 11(5). link> doi> full text>
  • Zhou B, Liu B, Yang D, Cao J, Littler T. 2020. Multi-objective optimal operation of coastal hydro-electrical energy system with seawater reverse osmosis desalination based on constrained NSGA-III. ENERGY CONVERSION AND MANAGEMENT, Article ARTN 112533, vol. 207. link> doi>
  • Carter J, Fan Z, Cao J. 2020. Cell equalisation circuits: A review. JOURNAL OF POWER SOURCES, Article ARTN 227489, vol. 448. link> doi> full text>
  • Gao F, Kang R, Cao J, Yang T. 2019. Primary and secondary control in DC microgrids: a review. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 227-242, vol. 7(2). link> doi> full text>
  • Tan L, Li C, Xia J, Cao J. 2019. Application of Self-Organizing Feature Map Neural Network Based on K-means Clustering in Network Intrusion Detection. Computers, Materials and Continua, 275-288, vol. 61(1). link> doi> link> full text>
  • Cao J, Crozier C, McCulloch M, Fan Z. 2019. Optimal Design and Operation of a Low Carbon Community Based Multi-Energy Systems Considering EV Integration. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 1217-1226, vol. 10(3). link> doi> full text>
  • Cao J, Du W, Wang H, McCulloch M. 2018. Optimal Sizing and Control Strategies for Hybrid Storage System as Limited by Grid Frequency Deviations. IEEE TRANSACTIONS ON POWER SYSTEMS, 5486-5495, vol. 33(5). doi>
  • Cao J, Du W, Wang HF. 2015. Weather-Based Optimal Power Flow With Wind Farms Integration. IEEE Transactions on Power Systems, 3073-3081, vol. 31(4). doi> link> full text>
  • Cao J, Du W, Wang HF. 2015. An Improved Corrective Security Constrained OPF With Distributed Energy Storage. IEEE Transactions on Power Systems, 1537-1545, vol. 31(2). doi> link>
  • Cao J, Du W, Wang HF. 2015. An Improved Corrective Security Constrained OPF for Meshed AC/DC Grids With Multi-Terminal VSC-HVDC. IEEE Transactions on Power Systems, 485-495, vol. 31(1). doi> link>

Chapters

  • Cao J and Fan Z. 2018. Deep Learning-Based Online Small Signal Stability Assessment of Power Systems with Renewable Generation. link> doi>

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