Search Results - "Chen, Tengpeng"

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  1. 1

    A Gated Multiscale Multitask Learning Model Using Time-Frequency Representation for Health Assessment and Remaining Useful Life Prediction by Wu, Tong, Chen, Tengpeng

    Published in Sensors (Basel, Switzerland) (01-02-2023)
    “…Health assessment and remaining useful life prediction are usually seen as separate tasks in industrial systems. Some multitask models use common features to…”
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    Journal Article
  2. 2

    Dose institutional quality influences the relationship between urbanization and CO2 emissions? by Khan, Hayat, Chen, Tengpeng, Bibi, Robeena, Khan, Itbar

    Published in PloS one (11-10-2023)
    “…As a result of rapid economic expansion, increased energy use, and urbanization, global warming and climate change have become serious challenges in recent…”
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    Journal Article
  3. 3

    A new robust dynamic state estimation approach for power systems with non-Gaussian noise by Chen, Tengpeng, Liu, Fangyan, Luo, Hongxuan, Foo, Eddy Y.S., Sun, Lu, Sun, Yuhao, Gooi, Hoay Beng

    “…The Gaussian noise distribution is typically used in dynamic state estimation (DSE) but it is not always true in practice because of abnormal system inputs,…”
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    Journal Article
  4. 4

    Interval State Estimation in Active Distribution Systems Considering Multiple Uncertainties by Chen, Tengpeng, Ren, He, Amaratunga, Gehan A. J.

    Published in Sensors (Basel, Switzerland) (06-07-2021)
    “…Distribution system state estimation (DSSE) plays a significant role for the system operation management and control. Due to the multiple uncertainties caused…”
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    Journal Article
  5. 5

    Distributed State Estimation Using a Modified Partitioned Moving Horizon Strategy for Power Systems by Chen, Tengpeng, Foo, Yi Shyh Eddy, Ling, K V, Chen, Xuebing

    Published in Sensors (Basel, Switzerland) (11-10-2017)
    “…In this paper, a distributed state estimation method based on moving horizon estimation (MHE) is proposed for the large-scale power system state estimation…”
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    Journal Article
  6. 6

    Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming by Chen, Xuebing, Sun, Lu, Chen, Tengpeng, Sun, Yuhao, Rusli, Tseng, King Jet, Keck, Voon Ling, Weng Khuen Ho, Amaratunga, Gehan A J

    Published in Energies (Basel) (24-04-2019)
    “…Integer linear programming (ILP) has been widely applied to solve the optimal phasor measurement unit (PMU) placement (OPP) problem for its computational…”
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    Journal Article
  7. 7

    Optimal Placement of Phasor Measurement Unit in Smart Grids Considering Multiple Constraints by Tengpeng Chen, He Ren, Yuhao Sun, Markus Kraft, Gehan A. J. Amaratunga

    “…The distribution of measurement noise is usually assumed to be Gaussian in the optimal phasor measurement unit (PMU) placement (OPP) problem. However, this is…”
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    Journal Article
  8. 8

    Robust state estimation for power systems via moving horizon strategy by Chen, Tengpeng

    Published in Sustainable Energy, Grids and Networks (01-06-2017)
    “…In this paper, I propose a re-weighted moving horizon estimation (RMHE) to improve the robustness for power systems. The RMHE reduces its sensitivity to the…”
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    Journal Article
  9. 9

    Distributed Moving Horizon Estimation for power systems by Tengpeng Chen, Dexiang Zhou, Tri Tran, Kastner, Catharine, Ling, K.-V, Tseng, K.-J, Maciejowski, Jan M.

    “…We adapt and apply a known algorithm for Distributed Moving Horizon Estimation (DMHE) to power systems. In this distributed approach, the power system is…”
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    Conference Proceeding
  10. 10

    Improved MOEA/D approach to many-objective day-ahead scheduling with consideration of adjustable outputs of renewable units and load reduction in active distribution networks by Zhang, Jingrui, Zhu, Xiaoqing, Chen, Tengpeng, Yu, Yanlin, Xue, Wendong

    Published in Energy (Oxford) (01-11-2020)
    “…Within the increasing concerns on environment, economy and security and requirements on power quality, the conventional economic dispatching scheme will face…”
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    Journal Article
  11. 11

    NSGA-III integrating eliminating strategy and dynamic constraint relaxation mechanism to solve many-objective optimal power flow problem by Zhang, Jingrui, Cai, Junfeng, Zhang, Hongcai, Chen, Tengpeng

    Published in Applied soft computing (01-10-2023)
    “…Increasing optimizing criteria in modern power systems promotes the birth of many-objective optimal power flow (Ma-OPF) problems in which more than three…”
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    Journal Article
  12. 12

    Adaptive model predictive control for PUC grid-connected inverter system with inaccurate parameters by Li, Po, Tong, Xiaoshan, He, Ying, Chen, Tengpeng

    Published in Control engineering practice (01-10-2023)
    “…Inaccurate system parameters pose significant challenges to the performance of model-based control methods. To address the errors caused by such inaccuracies,…”
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    Journal Article
  13. 13

    Observer based model predictive current control of distorted grid connected single phase rectifier without AC voltage sensor by Li, Po, Tong, Xiaoshan, Jin, Wentao, Chen, Tengpeng

    Published in Control engineering practice (01-09-2023)
    “…In this research, a grid voltage sensorless control scheme under the distorted grid voltage condition for a single-phase rectifier was proposed. For…”
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    Journal Article
  14. 14

    Customized optimal μPMU Placement method for distribution networks by Xuebing Chen, Tengpeng Chen, Tseng, King Jet, Yuhao Sun, Amaratunga, Gehan

    “…Phasor Measurement Unit (PMU) has been applied on power system to improve the performance of power system state estimator for decades. It is anticipated that…”
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    Conference Proceeding
  15. 15

    Hybrid approach based on global search algorithm for optimal placement of μPMU in distribution networks by Xuebing Chen, Tengpeng Chen, Tseng, King Jet, Yuhao Sun, Amaratunga, Gehan

    “…Phasor Measurement Units have been applied on power system to improve the performance of power system state estimator for decades. As it is not practical to…”
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    Conference Proceeding
  16. 16

    A robust state estimation method for power systems using generalized correntropy loss function by Chen, Tengpeng, Luo, Hongxuan, Gooi, Hoay Beng, Foo, Eddy Y.S., Sun, Lu, Zeng, Nianyin

    Published in Expert systems with applications (01-10-2024)
    “…The accurate estimation of power system states is crucial for effective monitoring and control. However, the performance of conventional state estimators,…”
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    Journal Article
  17. 17

    Multi-energy microgrid robust energy management with a novel decision-making strategy by Chen, Tengpeng, Cao, Yuhao, Qing, Xinlin, Zhang, Jingrui, Sun, Yuhao, Amaratunga, Gehan A.J.

    Published in Energy (Oxford) (15-01-2022)
    “…Uncertainties in renewable energy sources and load demand have become a consequential issue which has led to a significant effect on the microgrid operation…”
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    Journal Article
  18. 18

    Recursive maximum likelihood estimation with t-distribution noise model by Sun, Lu, Ho, Weng Khuen, Ling, Keck Voon, Chen, Tengpeng, Maciejowski, Jan

    Published in Automatica (Oxford) (01-10-2021)
    “…In this paper, a recursive t-distribution noise model based maximum likelihood estimation algorithm for discrete-time dynamic state estimation is proposed. The…”
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    Journal Article
  19. 19

    A Distributed Robust Power System State Estimation Approach Using t-Distribution Noise Model by Chen, Tengpeng, Cao, Yuhao, Sun, Lu, Qing, Xinlin, Zhang, Jingrui

    Published in IEEE systems journal (01-03-2021)
    “…In practical power system applications, the distribution of the measurement noise is sometimes unknown and deviates from the assumed Gaussian noise model due…”
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    Journal Article
  20. 20

    A distributed robust state estimation algorithm for power systems considering maximum exponential absolute value by Chen, Tengpeng, Wu, Tong, Qing, Xinlin, Amaratunga, Gehan A.J.

    “…•The proposed distributed MEAV based algorithm can restrain the impacts of bad data and obtain less AMSE than other estimators such as WLS, MS, WLS with LNR,…”
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    Journal Article