Jun Xiao
Tianjin University
65 Papers
102 Citations
Jun Xiao is an academic researcher from Tianjin University. The author has contributed to research in topics: Computer science & Boundary (topology). The author has an hindex of 12, co-authored 59 publications. Previous affiliations of Jun Xiao include Chinese Ministry of Education.
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Papers
Sizing of Energy Storage and Diesel Generators in an Isolated Microgrid Using Discrete Fourier Transform (DFT)
TL;DR: In this paper, the authors proposed a coordinated sizing of energy storage (ES) and diesel generators in an isolated microgrid based on discrete Fourier transform (DFT), which can complementarily compensate the generation-demand imbalance at different time scales.
177
Determination of the optimal installation site and capacity of battery energy storage system in distribution network integrated with distributed generation
TL;DR: In this paper, a bi-level optimisation model is proposed to determine the optimal installation site and the optimal capacity of battery energy storage system (BESS) in distribution network, aiming at minimizing the total net present value (NPV) of the distribution network within the project life cycle.
146
Distribution system security region: definition, model and security assessment
TL;DR: The proposed DSSR-based security assessment method provides a new approach for future smart distribution system operation and the results from a real distribution system have demonstrated the effectiveness of the proposed concepts and methods.
96
Observation of Security Region Boundary for Smart Distribution Grid
TL;DR: The existence of DSSR is indicated and the method to observe it is given, which shows that the D SSR is a dense set and its boundary is approximately linear.
83
Rapid evaluation method for power supply capability of urban distribution system based on N − 1 contingency analysis of main-transformers
TL;DR: A straightforward method to evaluate the power supply capability (PSC) of distribution system, which needs only one calculation with constraints according to the N − 1 guideline, is proposed, providing effective references for urban distribution network planning and the following project investment decisions.
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