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20142022
most citedReview of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

1.4k citations

19 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…

cs.LG2018★ 327 cited

Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks

Kunjin Chen, Jun Hu, Yu Zhang +2

This paper develops a novel graph convolutional network (GCN) framework for fault location in power distribution networks. The proposed approach integrates multiple measurements at…

math.OC2018★ 77 cited

Planning Low-Carbon Campus Energy Hubs

Daniel J. Olsen, Ning Zhang, Chongqing Kang +2

Multi-energy systems can provide a constant level of service to end-use energy demands, while deriving delivered energy from a variety of primary/secondary energy sources. This fue…

math.OC2018

Resilience Control of DC Shipboard Power Systems

Jia Li, Feng Liu, Ying Chen +4

Direct current (DC) network has been recognized as a promising technique, especially for shipboard power systems (SPSs). Fast resilience control is required for an SPS to survive a…

eess.SY2018★ 3 cited

Distributed Load-Side Control: Coping with Variation of Renewable Generations

Zhaojian Wang, Shengwei Mei, Feng Liu +2

This paper addresses the distributed frequency control problem in a multi-area power system taking into account of unknown time-varying power imbalance. Particularly, fast controll…

cs.CY2018★ 1.4k cited

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

Yi Wang, Qixin Chen, Tao Hong +1

The widespread popularity of smart meters enables an immense amount of fine-grained electricity consumption data to be collected. Meanwhile, the deregulation of the power industry,…

stat.AP2018★ 2 cited

Combining Probabilistic Load Forecasts

Yi Wang, Ning Zhang, Yushi Tan +3

Probabilistic load forecasts provide comprehensive information about future load uncertainties. In recent years, many methodologies and techniques have been proposed for probabilis…

eess.SY2017

Risk-limiting Load Restoration for Resilience Enhancement with Intermittent Energy Resources

Zhiwen Wang, Chen Shen, Yin Xu +3

Microgrids are resources that can be used to restore critical loads after a natural disaster, enhancing resilience of a distribution network. To deal with the stochastic nature of…

eess.SY2016★ 135 cited

An Exact Linearization Method for OLTC of Transformer in Branch Flow Model

Wenchuan Wu, Zhuang Tian, Boming Zhang

The branch flow based optimal power flow(OPF) problem in radianlly operated distribution networks can be exactly relazed to a second order cone programming (SOCP) model without con…

eess.SY2016★ 82 cited

Risk Assessment of Multi-timescale Cascading Outages based on Markovian Tree Search

Rui Yao, Shaowei Huang, Kai Sun +5

In the risk assessment of cascading outages, the rationality of simulation and efficiency of computation are both of great significance. To overcome the drawback of sampling-based…

math.OC2015★ 108 cited

Risk-Based Admissibility Assessment of Wind Generation Integrated into a Bulk Power System

Cheng Wang, Feng Liu, Jianhui Wang +2

The increasing integration of large-scale volatile and uncertain wind generation has brought great challenges to power system operations. In this paper, a risk-based admissibility…

eess.SY2015★ 9 cited

Distributed Robust Bilinear State Estimation for Power Systems with Nonlinear Measurements

Weiye Zheng, Wenchuan Wu, Antonio Gomez-Exposito +1

This paper proposes a fully distributed robust state-estimation (D-RBSE) method that is applicable to multi-area power systems with nonlinear measurements. We extend the recently i…

eess.SY2015★ 7 cited

Further Discussions on Sufficient Conditions for Exact Relaxation of Complementarity Constraints for Storage-Concerned Economic Dispatch

Zhengshuo Li, Qinglai Guo, Hongbin Sun +1

Storage-concerned economic dispatch (ED) problems with complementarity constraints are strongly non-convex and hard to solve because traditional Karush-Kuhn-Tucker (KKT) conditions…

eess.SY2014★ 182 cited

An Interaction Model for Simulation and Mitigation of Cascading Failures

Junjian Qi, Kai Sun, Shengwei Mei

In this paper the interactions between component failures are quantified and the interaction matrix and interaction network are obtained. The quantified interactions can capture th…