Ping Ju

Ping Ju

Hohai University

H-index: 37

Asia-China

About Ping Ju

Ping Ju, With an exceptional h-index of 37 and a recent h-index of 29 (since 2020), a distinguished researcher at Hohai University, specializes in the field of Modeling and Control of Power System.

His recent articles reflect a diverse array of research interests and contributions to the field:

Uncertainty-Inflicted Event-Driven Resilient Recovery for Distribution Systems: A Semi-Markov Decision Process Approach

Gain and Phase: Decentralized Stability Conditions for Power Electronics-Dominated Power Systems

Two-Stage Optimal Dispatch of Electricity-Natural Gas Networks Considering Natural Gas Pipeline Leakage and Linepack

Sensors-Aided Distribution System Resilience Enhancement By Using Meteorological Data

Rolling Re-synchronization of Low-voltage Load Measurements by Integrating Physical Laws and Data Analytics

Nonparametric Stochastic Analysis of Dynamic Frequency in Power Systems: A Generalized Ito Process Model

Small-signal Stability Assessment of Heterogeneous Multi-converter Power Systems

A Periodic Allocation Mechanism for Allocating Demand Response Reserves Deployed by Multiple Ancillary Services

Ping Ju Information

University

Position

Professor at Electrical Engineering

Citations(all)

5673

Citations(since 2020)

2898

Cited By

4107

hIndex(all)

37

hIndex(since 2020)

29

i10Index(all)

131

i10Index(since 2020)

73

Email

University Profile Page

Google Scholar

Ping Ju Skills & Research Interests

Modeling and Control of Power System

Top articles of Ping Ju

Uncertainty-Inflicted Event-Driven Resilient Recovery for Distribution Systems: A Semi-Markov Decision Process Approach

IEEE Transactions on Power Systems

2024/4/10

Gain and Phase: Decentralized Stability Conditions for Power Electronics-Dominated Power Systems

IEEE Transactions on Power Systems

2024/3/21

Two-Stage Optimal Dispatch of Electricity-Natural Gas Networks Considering Natural Gas Pipeline Leakage and Linepack

IEEE Transactions on Smart Grid

2024/2/19

Sensors-Aided Distribution System Resilience Enhancement By Using Meteorological Data

IEEE Transactions on Smart Grid

2024/1/4

Zhiyi Li
Zhiyi Li

H-Index: 3

Ping Ju
Ping Ju

H-Index: 21

Rolling Re-synchronization of Low-voltage Load Measurements by Integrating Physical Laws and Data Analytics

IEEE Transactions on Power Systems

2024/1/3

Zhiyi Li
Zhiyi Li

H-Index: 3

Ping Ju
Ping Ju

H-Index: 21

Nonparametric Stochastic Analysis of Dynamic Frequency in Power Systems: A Generalized Ito Process Model

arXiv preprint arXiv:2312.10953

2023/12/18

Ping Ju
Ping Ju

H-Index: 21

Small-signal Stability Assessment of Heterogeneous Multi-converter Power Systems

Authorea Preprints

2023/10/30

A Periodic Allocation Mechanism for Allocating Demand Response Reserves Deployed by Multiple Ancillary Services

IEEE Transactions on Sustainable Energy

2023/10/25

Analysis of Key Factors Influencing Frequency Security in Power System Operation Mode

2023/9/21

Steady-State Voltage Stability Analysis Considering the Characteristics of Power Electronic Interfaced Loads

2023/8/24

Acceptance Capability of Distributed Photovoltaic Generation in Distribution Networks Considering Different Loads

2023/8/24

Comparative Study of Global Sensitivity Analysis and Local Sensitivity Analysis in Power System Parameter Identification

Energies

2023/8/10

Two-stage data-driven dispatch for integrated power and natural gas systems by using stochastic model predictive control

Applied Energy

2023/8/1

Simplified Modeling of Power Electronic Interfaced Load Considering Harmonics

2023/7/28

Ping Ju
Ping Ju

H-Index: 21

Revealing the Complexity of Load Fluctuations for Electricity Consumers Using MLP-HVG

2023/7/16

Research on Cost Optimization of Integrated Energy System Based on Power Demand Response

2023/7/7

Analytical prediction method of power system frequency deviation under uncertain power fluctuations

IET Generation, Transmission & Distribution

2023/6

Ping Ju
Ping Ju

H-Index: 21

Partition-based Network Equivalent Method for Power System Subsynchronous Oscillation Analysis

Journal of Modern Power Systems and Clean Energy

2023/6/1

Data‐driven chance‐constrained dispatch for integrated power and natural gas systems considering wind power prediction errors

IET Generation, Transmission & Distribution

2023/6

A bi-level coordinated dispatch strategy for enhancing resilience of electricity-gas system considering virtual power plants

International Journal of Electrical Power & Energy Systems

2023/5/1

See List of Professors in Ping Ju University(Hohai University)