Qijuan Chen

Qijuan Chen


Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2020 in Chaos, Solitons & Fractals
Verified
Journal Article
Closed access
DYDonglin Yan
Donglin Yan
WWWeiyu Wang
Weiyu Wang
QCQijuan Chen
Qijuan Chen

1 February 2019 in Mechanical Systems and Signal Processing
Verified
Journal Article
Closed access
WWWeiyu Wang
Weiyu Wang
QCQijuan Chen
Qijuan Chen
DYDonglin Yan
Donglin Yan
DGDazhou Geng
Dazhou Geng

1 April 2020 in Energy Conversion and Management
Verified
Journal Article
Closed access
YZYang Zheng
Yang Zheng
QCQijuan Chen
Qijuan Chen
DYDonglin Yan
Donglin Yan
WLWanying Liu
Wanying Liu


10 December 2018 in Energies
Verified
Journal Article
Open access
PDF file
XWXianxun Wang
Xianxun Wang
LCLihua Chen
Lihua Chen
QCQijuan Chen
Qijuan Chen
YMYadong Mei
Yadong Mei
Hao WangHao Wang
Hao Wang
Small hydropower (SHP) and pumped hydropower storage (PHS) are ideal members of power systems with regard to integrating intermittent power production from wind and PV facilities in modern power systems using the high penetration of renewable energy. Due to the limited capacity of SHP and the geographic restrictions of PHS, these power sources have not been adequately utilized in multi-energy integration. On the one hand, rapidly increasing wind/PV power is mostly situated in remote areas (i.e., mountain and rural areas) and is delivered to core areas (i.e., manufacturing bases and cities) for environmental protection and economic profit. On the other hand, SHP is commonly dispersed in remote areas and PHS is usually located in core areas. This paper proposes a strategy to take advantage of the distribution and regulation features of these renewable energy sources by presenting two models, which includes a remote power system model to explore the potential of SHP to smooth the short-term fluctuations in wind and PV power by minimizing output fluctuations as well as a core power system model to employ PHS to shift the surplus power to the peak period by maximizing the income from selling regenerated power and minimizing output fluctuations. In the proposed first model, the cooperative regulation not only dispatches SHP with a reciprocal output shape to the wind/PV output to smooth the fluctuations but also operates the reservoir with the scheduled total power production by adjusting its output in parallel. The results of a case study based on a municipal power system in Southwestern China show that, with the proposed method, SHP can successfully smooth the short-term fluctuations in wind and PV power without influencing the daily total power production. Additionally, SHP can replace the thermal power production with renewable power production, smooth the thermal output, and further reduce the operation costs of thermal power. By storing the surplus power in the upper reservoir and regenerating the power during the peak period, PHS can obtain not only the economic benefit of selling the power at high prices but also the environmental benefit of replacing non-renewable power with renewable power. This study provides a feasible approach to explore the potential of SHP and PHS in multi-energy integration applications.

14 May 2018 in Energies
Verified
Journal Article
Open access
PDF file
DYDonglin Yan
Donglin Yan
WWWeiyu Wang
Weiyu Wang
QCQijuan Chen
Qijuan Chen
Load shedding processes are widespread in hydropower stations, which has great influence on the safe and stable operation of the hydro–turbine governing system. In order to study the dynamic characteristics of the hydro–turbine governing system during the load shedding process, a novel nonlinear mathematical model of the hydro–turbine governing system is established considering the hydro–turbine system, the generator system and the governor system. In particular, a novel nonlinear mathematical model of the six hydro–turbine transfer coefficients is presented based on the definitions and hydro–turbine internal characteristics. After that, from the viewpoint of nonlinear dynamics and the practical engineering, the dynamic characteristics of the hydro–turbine governing system are investigated utilizing bifurcation diagrams, time series, Poincare maps, power spectrums and phase planes. Some meaningful results are found. The advantages of the novel nonlinear mathematical model are illustrated and commented in detail in comparison with the previous model. Finally, these models and analysis results will provide some theoretical references for the operation of hydropower stations in the load shedding transient.