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20202022
most citedA Linear Branch Flow Model for Radial Distribution Networks and its Application to Reactive Power Optimization and Network Reconfiguration

107 citations

6 papers

eess.SY2022★ 71 cited

Optimal Allocation of Virtual Inertia and Droop Control for Renewable Energy in Stochastic Look-Ahead Power Dispatch

Yukang Shen, Wenchuan Wu, Shumin Sun +1

To stabilize the frequency of the renewable energy sources (RESs) dominated power system, frequency supports are required by RESs through virtual inertia emulation or droop control…

eess.SY2021★ 12 cited

Storage and Transmission Capacity Requirements of a Remote Solar Power Generation System

Yue Chen, Wei Wei, Cheng Wang +2

Large solar power stations usually locate in remote areas and connect to the main grid via a long transmission line. Energy storage unit is deployed locally with the solar plant to…

eess.SY2020★ 39 cited

Synchronization Instability of Inverter-Based Generation During Asymmetrical Grid Faults

Xiuqiang He, Changjun He, Sisi Pan +2

The transient stability of traditional power systems is concerned with the ability of generators to stay synchronized with the positive-sequence voltage of the network, whether for…

eess.SY2020★ 107 cited

A Linear Branch Flow Model for Radial Distribution Networks and its Application to Reactive Power Optimization and Network Reconfiguration

Tianshu Yang, Ye Guo, Lirong Deng +2

This paper presents a cold-start linear branch flow model named modified DistFlow. In modified DistFlow, the active and reactive power are replaced by their ratios to voltage magni…

eess.SP2020★ 40 cited

An Effective EMTR-Based High-Impedance Fault Location Method for Transmission Lines

Jianwei An, Chijie Zhuang, Farhad Rachidi +1

This paper summarizes the electromagnetic time reversal (EMTR) technique for fault location, and further numerically validates its effectiveness when the fault impedance is negligi…

eess.SY2020★ 2 cited

Linear Programming Contractor for Interval Distribution State Estimation Using RDM Arithmetic

VietCuong Ngo, Wenchuan Wu

State estimation (SE) of distribution networks heavily relies on pseudo measurements that introduce significant errors, since real-time measurements are insufficient. Interval SE m…