Ping Ju

Zhejiang University

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i-10 index

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Co-Authors

Yuqing Jin

Hohai University

Feng Wu

Hohai University

Zhiyi Li

Zhejiang University

Huanhai Xin

Zhejiang University

Hongzhong Ma

Shaanxi University of Chinese Medicine

Yiping Yu

Hohai University

Xueping Pan

Hohai University

Xiaoping Zhang

University of Birmingham

Chuan Qin

University of Shanghai for Science and Technology

Linbin Huang

Zhejiang University

Cooperative Institutions

Hohai University

152

Zhejiang University

Chinese Academy of Sciences

Tsinghua University

State Grid Corporation of China (China)

Shanghai Jiao Tong University

North China Electric Power University

Shandong University

Huazhong University of Science and Technology

China Electric Power Research Institute

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Music Training is Associated with Better Audio-Visual Integration in Chinese Language

Xiaohong Yang Ping Ju Zihang Zhou Yuhan Xie Jiaying Hui

In the present study, we aimed to investigate whether long-term musical training could improve audio-visual speech integration in Chinese, using event-related brain potential (ERP) measurements. Specifically, we recruited musicians and non-musicians to participate in our experiment where visual Chinese characters were presented simultaneously with congruent or incongruent speech sounds. In order to maintain participants' focus on both auditory and visual modalities, they were instructed to perform a probe detection task. Our study revealed that for the musicians, audiovisual incongruent stimuli elicited an N1 effect and an N400 effect compared to audiovisual congruent stimuli. Conversely, only the N400 effect was observed for the non-musicians. Furthermore, correlation analyses indicated that more years of music training was associated with a larger N1 effect for the musicians. These results suggest that musicians were capable of detecting character-speech sound incongruence at an earlier time window compared to non-musicians. Overall, our findings provide compelling evidence that music training is associated with better integration of visual characters and auditory speech sounds in language processing.

Audio visual

10.2139/ssrn.4710412

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Rolling Prediction Method of Input Wind Power of Wind Turbine Generators in Wind Farm

Xinyi Shen Yuqing Jin Ping Liu Mengtian Xu Tongxin Chen

The power system's inertia and capability of frequency regulation decrease as the proportion of renewable energy generation in the system rises. The current system includes a significant amount of wind power generation, and the contribution of wind power to frequency control has a significant impact on the frequency stability of the power grid. The ability of wind turbine generators to regulate frequency is significantly impacted by variations in wind speed. To accurately evaluate the frequency response capability of wind power generation, it is necessary to predict the change in wind speed or wind power after the wind turbine generator starts the frequency response. Because the wind speed measured by the wind turbine generator is not accurate, this paper uses accurate power measurement data to represent the change in wind power. In this paper, a rolling prediction method for the power of downwind turbines in a wind farm is proposed using spatial correlation. The future power curves of the downwind turbines are obtained by weighting and summing the power curves of several upwind turbines while taking into account time lags. The validity of the method is verified using measured data from an actual wind farm. The prediction results of the power of wind turbine generators can provide a basis for rolling evaluation of the wind farm's frequency response capability at different moments.

Power optimizer

10.1109/repe55559.2022.9948844

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Integration of regional and external power network models

Journal of Hohai University (2013)

Ping Ju

A method for integration of regional and external power network models is proposed in this paper.The CIM and PAS files of the regional power network were collected from EMS,and the network topology analysis was carried out to obtain the regional power network model.Then,a power flow matching method was used to match the power flow between the regional and external power networks.A sensitivity matrix was used to adjust the active power of boundary lines,and a clustering scheme based on electrical distance was used to adjust the voltage.A practical application to a power network verified the feasibility of the proposed method.

Regional power

Power network

Network model

Network Analysis

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Probabilistic load flow computation of a power system containing wind farms using the method of combined cumulants and Gram–Charlier expansion

IET Renewable Power Generation (2011)

Yang Yuan Jian‐hua Zhou Ping Ju Julian Feuchtwang

Load flow is highly uncertain with the large-scale integration of wind power. It is unrealistic to adopt traditional deterministic load flow calculation for system planning and operation. A method is proposed in this study combining cumulants and Gram–Charlier expansion to calculate probabilistic load flow (PLF) of power system containing large-scale wind power. It has significantly reduced the computational time compared to Monte Carlo methods while maintaining a high degree of accuracy. The method was found quite suitable for the PLF calculation of power system with large-scale wind power injected.

Cumulant

10.1049/iet-rpg.2010.0218

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Citations (94)

A bang‐bang control based water‐loop heat pump load aggregation method for power levelling dispatch

IET Smart Grid (2021)

Chaoran Si Zhen Wang Ping Ju Hao Wu

In this article, a bang-bang control based water-loop heat pump (WLHP) load aggregation method is proposed to facilitate its attending demand response service for the purpose of power levelling dispatch. A WLHP aggregation model is first established to determine its power limit, in which a priority list based on the state of temperature (SOT) index for each heat pump unit (HPU) is developed to measure the HPU's power regulation capability. Users' comfort is also well guaranteed by introducing a forced switching rule in the model. The proposed model is then applied for a power levelling dispatch problem with WLHP load and a bi-section based bang-bang control algorithm is developed to determine HPUs' ON/OFF states. A microgrid test system including wind and solar generation, WLHP load and a battery storage is used to validate the effectiveness of the proposed method. To further test its robustness, an influence analysis of initial operating conditions such as input power profiles and initial ON/OFF states as well as multiple operating-condition simulations are both conducted.

Levelling

Bang–bang control

10.1049/stg2.12031

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Parameters Determination of Synthesis Load Model Considering Distribution Network Connection

Proceedings of the CSEE (2008)

Ping Ju

The newly developed synthesis load model (SLM) represents both load and corresponding distribution network. A methodology is proposed for determining the parameters of SLM, which is both component and measurement based. The focus lays in the identification as the equivalent distribution impedance has been got through aggregation of the distribution network. It is proposed that only the key parameters are identified and others are taken as typical values. The measured load parameters in a practical power grid are given to validate the methodology. The results indicate that the reactance sum of distribution network and induction motor varies little, the reactance of induction motor vary a little, the motor percentage and the inertia time constant varies significantly.

Reactance

Constant (computer programming)

Distribution grid

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Citations (5)

A wavelet-based method for de-noising data of electric load modeling

Journal of Hohai University (2011)

Ping Ju

To improve the identification accuracy of electric load modeling,the disturbance data need to be de-noised.A strategy of filtering the noise of the stable stage while not filtering the noise of the transient stage was proposed.The data for model identification was obtained by synthesizing the de-noised data of the stable stage and the data of the transient stage.The position of the starting point was provided.A wavelet-based method was proposed for filtering the noise in the stable stage.The practical applications show that the load model parameters estimated with the de-noised data are stabler and the variances are smaller.

Position (finance)

Identification

Transient (computer programming)

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Citations (1)

Design and modeling of hybrid magnetic levitation rotor weight support systems for hydraulic turbine generator units

Journal of Hohai University (2010)

Ping Ju

In order to understand weight support modes and problems of hydraulic turbine generator units,the magnetic levitation weight support of the rotor systems of hydraulic turbine generator units was studied. A hybrid rotor weight support system for hydraulic turbine generator units that combines a permanent magnetic levitation device and an electromagnetic levitation device was designed. During the structural design of the hybrid rotor weight support system,the basic gravity weight was supported by the permanent magnetic device,and the adjustable gravity weight was supported by the electromagnetic levitation device. Considering the stability of hydraulic turbine generator units under high-speed operation,the system bore most of the axial loads (rotor weight) instead of totally levitating the rotor. The permanent magnetic materials and electromagnetic device were studied and selected. For the permanent magnetic levitation device,the relationships between the air gap magnetic field intensity and parameters such as the air gap thickness and magnet size were analyzed,and the impact factors in the magnitude of the permanent magnetic levitation force were analyzed. For the electromagnetic levitation device,the relationship between the electromagnetic levitation force and the structure of the electromagnetic levitation device was analyzed. On this basis,the mathematical models for the electromagnetic levitation and the permanent magnetic levitation support devices were established according to fundamental electromagnetic theories and the structure of weight support systems.

Magnetic Levitation

Electrodynamic suspension

Air gap (plumbing)

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Citations (1)

Singular value decomposition‐based load indexes for load profiles clustering

IET Generation Transmission & Distribution (2020)

Zichen Wang Hao Wu Zhengbang Jiang Ping Ju Jian Yang

Choosing suitable load indexes of load profiles is of vital importance for load profiles clustering, which has wide applications in load forecasting, power grid planning and electricity price designing. To obtain a set of load indexes with rigorous mathematical theory and clear physical meaning, this study proposed a singular value decomposition (SVD) based method to extract indexes. First, empirical rank‐l approximation derived from SVD is proposed to extract load indexes. The relationship between singular values and relative approximation error guarantees the indexes retain major characteristics of load profiles, while the invariance of right singular vectors over seasons and sample sizes endows the indexes with good generalisation ability. Then the right singular vectors are discretised to determine definition of indexes and reveal physical meanings of the indexes. Finally, the new set of indexes extracted by the proposed method are applied in indirectly clustering in the case study, which verify the validity of the indexes, the performance of the clustering method and the advantages of the new indexes over the existing load shape indexes.

Value (mathematics)

10.1049/iet-gtd.2019.1960

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Citations (8)

A sequentially preventive model enhancing power system resilience against extreme-weather-triggered failures

Renewable and Sustainable Energy Reviews (2021)

Hanchen Liu Chong Wang Ping Ju Hongyu Li

Extreme Weather

Resilience

Cascading failure

10.1016/j.rser.2021.111945

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Citations (25)