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您的检索式：作者名="Bendong Yu"
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| 1 | Modeling and analysis of a dual-channel solar thermal storage wall system with phase change material in hot summer and cold winter area显示文摘A dual-channel solar thermal storage wall system with eutectic phase change material is studied.The full-day cooling load in summer and heating load in winter can be both decreased by this novel system.To investigate the airflow in the dual channel,mixed area assumptions based on the experimental results are summarized.Dynamic mathematical models of the system under four work modes are established and verified by the experimental results.The average RMSD(root mean square deviation)value is 0.35%in summer and 0.95% in winter.By analyzing the heat flux,the combination of dual channel and PCM is proven to decrease and delay cooling load both in the daytime and nighttime of summer.In winter's daytime,the thermal efficiency is promoted by the dual channel.And in winter’s nighttime,the system is able to heat the room constantly by the PCM boards.Based on parameter researches,the optimum phase change temperature range and the optimum thickness of the PCM are 26-30℃,1.5 cm in summer and 16-22℃,0.6 cm in winter respectively.To reach the optimum annual thermal performance,the coverage area is 2 m^(2) for this system. | Lijie Xu Chenglong Luo Jingyong Cai Jie Ji Leyang Dai Bendong Yu Shengjuan Huang | 2022 | Building Simulation2022，15，2： | 1 |
| 2 | Dynamic State Estimation for DFIG with Unknown Inputs Based on Cubature Kalman Filter and Adaptive Interpolation显示文摘Dynamic state estimation(DSE)accurately tracks the dynamics of power systems and demonstrates the evolution of the system state in real time.This paper proposes a DSE approach for a doubly-fed induction generator(DFIG)with unknown inputs based on adaptive interpolation and cubature Kalman filter(AICKF-UI).DFIGs adopt different control strategies in normal and fault conditions;thus,the existing DSE approaches based on the conventional control model of DFIG are not applicable in all cases.Consequently,the DSE model of DFIGs is reformulated to consider the converter controller outputs as unknown inputs,which are estimated together with the DFIG dynamic states by an exponential smoothing model and augmented-state cubature Kalman filter.Furthermore,as the reporting rate of existing synchro-phasor data is not sufficiently high to capture the fast dynamics of DFIGs,a large estimation error may occur or the DSE approach may diverge.To this end,in this paper,a local-truncation-error-guided adaptive interpolation approach is developed.Extensive simulations conducted on a wind farm and the modified IEEE 39-bus test system show that the proposed AICKF-UI can(1)effectively address the divergence issues of existing cubature Kalman filters while being computationally more efficient;(2)accurately track the dynamic states and unknown inputs of the DFIG;and(3)deal with various types of system operating conditions such as time-varying wind and different system faults. | Maolin Zhu Hao Liu Junbo Zhao Bendong Tan Tianshu Bi Samson Shenglong Yu | 2023 | Journal of Modern Power Systems and Clean Energy2023，11，4： | 0 |
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