Power System Research Institute
Liu Chunyang
Published: December 10, 2020 10:41    Author:    点击:[]

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Power system and its automation

Academic identity

Ph.D., Master Supervisor

Work experience

2018.09-Present      School of Electrical Engineering, Shandong University, Assistant Researcher

2019.10-2020.11 Illinois Institute of Technology, USA, visiting scholar

2012.09-2018.06 Xi'an Jiaotong University, PhD

2008.09-2012.08 Xi'an Jiaotong University, Bachelor

Personal information

Name

Liu Chunyang

Gender

Male

BornDate

1989.04

Place of Origin

Weihai, Shandong

Professional title

Assistant Researcher

Position


Telephone

15102978875

Email

liuchunyang@sdu.edu.cn


 

 

Research direction

Energy storage system and microgrid energy management;Integrated energy system operation optimization;Power system planning and operation optimization  

Academic works

First author and corresponding author’s paper:

[1] Liu H, Liu C*, Zhao H, et al. Non-intrusive Load Monitoring Method for Multi-Energy Coupling Appliances Considering Spatio-Temporal Coupling[J]. IEEE Transactions on Smart Grid, 2023.

[2] Wang M, Zhao H, Liu C*, et al. Analytical Dynamic Energy-Carbon Flow Model and Application in Cost Allocation for Integrated Energy Systems [J]. IEEE Transactions on Smart Grid, 2023.

[3] Ma H, Liu C*, Zhao H, et al. A novel analytical unified energy flow calculation method for integrated energy systems based on holomorphic embedding[J]. Applied Energy, 2023.

[4] Liu C*, Ma H, Zhang H, et al. A MILP-based battery degradation model for economic scheduling of power system[J]. IEEE Transactions on Sustainable Energy, 2022.

[5] Liu C, Zhang H, Shahidehpour M*, et al. A Two-Layer Model for Microgrid Real-Time Scheduling Using Approximate Future Cost Function[J]. IEEE Transactions on Power Systems, 2021.

[6] Liu C*, Wang X, Wu X, et al. Economic scheduling model of microgrid considering the lifetime of batteries[J]. IET Generation Transmission & Distribution, 2017.

[7] Liu C*, Wang X, Guo J, et al. A chance-constrained scheduling model of grid-connected microgrid based on probabilistic and robust optimization [J]. IET Generation Transmission & Distribution, 2018.

[8] Liu C*, Qin Y, Zhang H. Real-time scheduling strategy for microgrids considering operation interval division of DGs and batteries[J]. Global Energy Interconnection, 2020.

[9] Mi Y, Liu C*, Yang J, et al. Low-carbon generation expansion planning considering uncertainty of renewable energy at multi-time scales[J]. Global Energy Interconnection, 2021.

[10] Yang J, Liu C*, Mi Y, et al. Optimization operation model of electricity market considering renewable energy accommodation and flexibility requirement[J]. Global Energy Interconnection, 2021.

[11] Wang Mengxue,Zhao Haoran, Liu Chunyang*,etc.. Dynamic power flow tracking and carbon entropy analysis of integrated energy systems based on the superposition principle[J].Power system automation, 2023.

[12] Wang Junjie, Liu Chunyang*, Chen Changnian, etc.. Modeling and simulation analysis of dynamic characteristics of thermal energy transfer based on entropy index[J]. Chinese Journal of Electrical Engineering, 2022.

[13] Wang Mengxue, Zhao Haoran, Liu Chunyang*, etc..Carbon trajectory tracking method for electric and thermal interconnected integrated energy systems based on carbon entropy index[J]. Power system automation, 2022.

[14] Liu Hang, Liu Chunyang*, Zhao Haoran, etc.. Public building electricity based on deep learning-Non-invasive decomposition of gas load[J]. Power Grid Technology, 2022.

[15] Wang Xiuli, Liu Chunyang*. Preliminary analysis of the British low-carbon electricity market reform plan[J]. Power system automation, 2014.

[16] Liu Chunyang*, Wang Xiuli, Liu Shimin,etc.. Microgrid economic dispatch model taking battery life into account[J]. Power automation equipment, 2015.

[17Liu Chunyang*, Wang Xiuli, Wu Xiong. Multi-level dispatching strategy for wind storage system considering battery grouping optimization[J]. Power Grid Technology, 2016.

Undertake scientific research projects

   

1.State Grid Shanghai Electric Power Company,Research on distribution network structure and operation form integrating high penetration electric vehicles,2023-11 to 2024-11,Responsible person。

2.Shandong Electric Power Engineering Consulting Institute,Virtual power plant modeling based on new gas turbines and power market mechanisms、Evaluation and Optimization Computing and Consulting Projects,2023-09 to 2024-12,Responsible person。

3.Global Energy Internet Group,Research on cross-regional sender and receiver flexible resource optimization configuration methods and collaborative operation methods,2023-10 to 2024-10,Main participants。

4.State Grid Beijing Electric Power Company,New power grid planning considering cross-regional time and space transferable load requirements,2022-05 to 2022-12,Responsible person。

5.Shandong Provincial Natural Science Foundation of China,Research on microgrid optimization operation strategy considering electric vehicle interaction in the power market environment,2022-01 to 2024-12,Responsible person。

3.High Technology Research and Development Center of the Ministry of Science and Technology,National Key R&D Program “Key Scientific Issues in Transformative Technologies”,Intelligent evolution mechanism and design of distributed information energy system,2019-08 to 2024-08,Main participants。

7.State Grid Shandong Electric Power Company Economic and Technical Research Institute,Research on multi-time scale flexibility resource evaluation and coordinated allocation methods for multi-source power systems,2019-05 to 2020-12,Co-responsible person。

8.State Grid Shandong Electric Power Company Economic and Technical Research Institute,Research on multi-source collaborative planning considering source-load uncertainty balance,2019-06 to 2020-12,Co-responsible person。

9.State Grid Shandong Weifang Electric Power Company,Research on power grid flexible planning method suitable for multi-source and receiving end systems,2019-06 to 2020-12,Main participants。

Academic Type

Academic Type/Professional Master’s Degree

 

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