Department of Electronic and Electrical Engineering

 

Contact details

Room 2 East 2.22
Tel: +44 (0) 1225 386183
Email: r.li2@bath.ac.uk

PhD supervision

Interested in supervising students.

Dr Ran Li

BEng, MEng, PhD

PhD studentship available. Interested candidates should contact Dr Li directly.

Profile 

Dr Li  graduated from both University of Bath and North China Electric Power University in 2011 with BEng in electrical power engineering.

He received his PhD in 2014 from Bath, with thesis entitled “Load profiling on time-frequency domain: from big data to smart data”.

Between 2014 and 2015, Ran worked as research associate (RA) in an EPSRC UK-China smart grid project. He took up a lectureship in September 2015.

Research

Dr Li has developed a set of big data analytic techniques based on statistics and spectral analysis in order to address challenges brought by smart grid and smart meters. He has extensive experience in working with UK power industry and regulator in low carbon distribution network development and smart metering reform.

Publications

Articles

Ma, K., Li, R. and Li, F., 2016. Forthcoming. Utility-Scale Estimation of Additional Reinforcement Cost from 3-Phase Imbalance Considering Thermal Constraints. IEEE Transactions on Power Systems

Li, R., Li, F. and Smith, N. D., 2016. Load Characterization and Low-order Approximation for Smart Metering Data in the Spectral Domain. IEEE Transactions on Industrial Informatics

Wang, Z., Zhang, Y., Li, B., Li, R. and Zhang, Z., 2016. Distributed storage capacity reservations in microgrid for LV network operation. Energy Procedia, 103, pp. 153-158.

Zhang, Z., Li, R., Zhao, C. and Li, F., 2016. Cross-characterization of PV and sunshine profiles based on hierarchical classification. Energy Procedia, 103, pp. 15-21.

Tang, Z., Liu, Y., Liu, J., Li, R., Wen, L. and Zhang, G., 2016. Multi-stage sizing approach for development of utility-scale BESS considering dynamic growth of distributed photovoltaic connection. Journal of Modern Power Systems and Clean Energy, 4 (4), pp. 554-565.

Xiang, Y., Liu, J., Li, R., Li, F., Gu, C. and Tang, S., 2016. Economic planning of electric vehicle charging stations considering traffic constraints and load profile templates. Applied Energy, 178, pp. 647-659.

Tong, X., Li, R., Li, F. and Kang, C., 2016. Cross-domain feature selection and coding for household energy behavior. Energy, 107, pp. 9-16.

Li, R., Li, F. and Smith, N. D., 2016. Multi-resolution load profile clustering for smart metering data. IEEE Transactions on Power Systems

Li, R., Wang, Z., Gu, C., Li, F. and Wu, H., 2016. A novel time-of-use tariff design based on Gaussian Mixture Model. Applied Energy, 162.

Ma, K., Li, R., Hernando Gil, I. and Li, F., 2016. Quantification of Additional Reinforcement Cost from Severe 3-Phase Imbalance. IEEE Transactions on Power Systems

Li, R., Gu, C., Li, F., Shaddick, G. and Dale, M., 2015. Development of Low Voltage__ Network Template Part I- Load Profile Clustering and Substation Classification:substation clustering and classification. IEEE Transactions on Power Systems, 30 (6), 6981990.

Li, R., Gu, C., Li, F., Shaddick, G. and Dale, M., 2015. Development of low voltage network templates - Part II peak load estimation by clusterwise regression:peak load estimation by clusterwise regression. IEEE Transactions on Power Systems, 30 (6), 6981996.

Ma, K., Li, R. and Li, F., 2015. Quantification of additional asset reinforcement cost from three phase imbalance. IEEE Transactions on Power Systems, PP (99), pp. 1-7.

Wang, K., Zhang, M., Wang, Z., Li, R., Li, F. and Wu, H., 2014. Time of use tariff design for domestic customers from flat rate by model-based clustering. Energy Procedia, 61, pp. 652-655.

Conference or Workshop Items

Ma, Q., Xu, M., Li, R. and Li, F., 2016. Quantitative benefit assessment of electricity settlement using smart meters. In: 13th International Conference on the European Energy Market, EEM 2016, 2016-06-06 - 2016-06-09. IEEE Computer Society.

Zhao, C., Shi, H., Li, R. and Li, F., 2015. Demand side response performance assessment:An impact analysis of load profile accuracy on DSR performances. In: IEEE Power and Energy Society General Meeting, PESGM 2015, 2015-07-26 - 2015-07-30. IEEE Computer Society Press, pp. 1-5.

Shi, D., Li, R., Shi, R. and Li, F., 2014. Analysis of the relationship between load profile and weather condition. In: PES General Meeting/ Conference & Exposition, 2014 IEEE, 2014-07-27 - 2014-07-31. IEEE, pp. 1-5.

Li, R., Wang, Z., Le Blond, S. and Li, F., 2014. Development of time-of-use price by clustering techniques. In: PES General Meeting/ Conference & Exposition, 2014 IEEE, 2014-07-27 - 2014-07-31. IEEE.

Le Blond, S., Li, F. and Li, R., 2014. Cost and emission savings from the deployment of variable electricity tariffs and advanced domestic energy hub storage management.

Li, R., Gu, C., Zhang, Y. and Li, F., 2012. Implementation of load profile test for electricity distribution networks. In: 2012 IEEE Power and Energy Society General Meeting, 2012-07-21 - 2012-07-25.

Thesis

Li, R., 2015. Load Profiling on Time and Spectral Domain:From Big Data to Smart Data. Thesis (Doctor of Philosophy (PhD)). University of Bath.

This list was generated on Tue Apr 25 09:55:59 2017 IST.