235 citations · 1.2k across the 37 of their papers we have counts for
37 papers
Towards Microgrid Resilience Enhancement via Mobile Power Sources and Repair Crews: A Multi-Agent Reinforcement Learning Approach
Yi Wang, Dawei Qiu, Fei Teng +1
Mobile power sources (MPSs) have been gradually deployed in microgrids as critical resources to coordinate with repair crews (RCs) towards resilience enhancement owing to their fle…
Vehicle-to-grid plug-in forecasting for participation in ancillary services markets
Jemima Graham, Fei Teng
Electric vehicle (EV) charge points (CPs) can be used by aggregators to provide frequency response (FR) services. Aggregators must have day-ahead half-hourly forecasts of minimum a…
Control-mode as a Grid Service in Software-defined Power Grids: GFL vs GFM
Guoxuan Cui, Zhongda Chu, Fei Teng
In power systems with high penetration of power electronics, grid-forming control is proposed to replace traditional Grid-Following Converter (GFL) in order to improve the overall…
Benchmarking Explanatory Models for Inertia Forecasting using Public Data of the Nordic Area
Jemima Graham, Evelyn Heylen, Yuankai Bian +1
This paper investigates the performance of a day-ahead explanatory model for inertia forecasting based on field data in the Nordic system, which achieves a 43% reduction in mean ab…
Stability Constrained Optimization in High IBR-Penetrated Power Systems-Part I: Constraint Development and Unification
Zhongda Chu, Fei Teng
Conventional power system optimization framework is becoming less reliable and efficient due to the stability issues brought by the ever-increasing inverter-interfaced renewable pe…
Optimal Design of Neural Network Structure for Power System Frequency Security Constraints
Zhuoxuan Li, Zhongda Chu, Fei Teng
Recently, frequency security is challenged by high uncertainty and low inertia in power system with high penetration of Renewable Energy Sources (RES). In the context of Unit Commi…
Design and Planning of Flexible Mobile Micro-Grids Using Deep Reinforcement Learning
Cesare Caputo, Michel-Alexandre Cardin, Pudong Ge +3
Ongoing risks from climate change have impacted the livelihood of global nomadic communities, and are likely to lead to increased migratory movements in coming years. As a result,…
Scheduling of Software-Defined Microgrids for Optimal Frequency Regulation
Zhongda Chu, Guoxuan Cui, Fei Teng
Integrated with a high share of Inverter-Based Resources (IBRs), microgrids face increasing complexity of frequency dynamics, especially after unintentional islanding from the main…
Cyber-physical interdependent restoration scheduling for active distribution network via ad hoc wireless communication
Chongyu Wang, Mingyu Yan, Kaiyuan Pang +2
This paper proposes a post-disaster cyber-physical interdependent restoration scheduling (CPIRS) framework for active distribution networks (ADN) where the simultaneous damages on…
Towards Joint Electricity and Data Trading: A Scalable Cooperative Game Theoretic Approach
Mingyu Yan, Fei Teng
This paper, for the first time, proposes a joint electricity and data trading mechanism based on cooperative game theory. All prosumers first submit the parameters associated with…
Mitigating Load-Altering Attacks Against Power Grids Using Cyber-Resilient Economic Dispatch
Zhongda Chu, Subhash Lakshminarayana, Balarko Chaudhuri +1
Large-scale Load-Altering Attacks (LAAs) against Internet-of-Things (IoT) enabled high-wattage electrical appliances (e.g., wifi-enabled air-conditioners, electric vehicles, etc.)…
Frequency Response from Aggregated V2G Chargers With Uncertain EV Connections
Cormac O'Malley, Luis Badesa, Fei Teng +1
Fast frequency response (FR) is highly effective at securing frequency dynamics after a generator outage in low inertia systems. Electric vehicles (EVs) equipped with vehicle to gr…
Value of Fleet Vehicle Grid in Providing Transmission System Operator Services
Cormac O'Malley, Marko Aunedi, Fei Teng +1
In this paper a new aggregated model for electric vehicle (EV) fleets is presented that considers their daily and weekly usage patterns. A frequency-constrained stochastic unit com…
Voltage Stability Constrained Unit Commitment in High IBG-Penetrated Power Systems
Zhongda Chu, Fei Teng
With the increasing penetration of renewable energy sources, power system operation has to be adapted to ensure the system stability and security while considering the distinguishe…
Robust Moving Target Defence Against False Data Injection Attacks in Power Grids
Wangkun Xu, Imad M. Jaimoukha, Fei Teng
Recently, moving target defence (MTD) has been proposed to thwart false data injection (FDI) attacks in power system state estimation by proactively triggering the distributed flex…
Fixed-Time Convergent Distributed Observer Design of Linear Systems: A Kernel-Based Approach
Pudong Ge, Peng Li, Boli Chen +1
The robust distributed state estimation for a class of continuous-time linear time-invariant systems is achieved by a novel kernel-based distributed observer, which, for the first…
A Resilience-Oriented Centralised-to-Decentralised Framework for Networked Microgrids Management
Pudong Ge, Fei Teng, Charalambos Konstantinou +1
This paper proposes a cyber-physical cooperative mitigation framework to enhance power systems resilience under extreme events, e.g., earthquakes and hurricanes. Extreme events can…
Frequency-Constrained Resilient Scheduling of Microgrid: A Distributionally Robust Approach
Zhongda Chu, Ning Zhang, Fei Teng
In order to prevent the potential frequency instability due to the high Power Electronics (PE) penetration under an unintentional islanding event, this paper presents a novel micro…
Probabilistic Scheduling of UFLS to Secure Credible Contingencies in Low Inertia Systems
Cormac O'Malley, Luis Badesa, Fei Teng +1
The reduced inertia levels in low-carbon power grids necessitate explicit constraints to limit frequency's nadir and rate of change during scheduling. This can result in significan…
Topology Learning Aided False Data Injection Attack without Prior Topology Information
Martin Higgins, Jiawei Zhang, Ning Zhang +1
False Data Injection (FDI) attacks against powersystem state estimation are a growing concern for operators.Previously, most works on FDI attacks have been performedunder the assum…
Short Circuit Current Constrained UC in High IBG-Penetrated Power Systems
Zhongda Chu, Fei Teng
Inverter Based Generators (IBGs) have been increasing significantly in power systems. Due to the demanding thermal rating of Power Electronics (PE), their contribution to the syste…
Towards Optimal Coordination between Regional Groups: HVDC Supplementary Power Control
Andrea Tosatto, Georgios Misyris, Adrià Junyent-Ferré +2
With Europe dedicated to limiting climate change and greenhouse gas emissions, large shares of Renewable Energy Sources (RES) are being integrated in the national grids, phasing ou…
A Deep Learning based Detection Method for Combined Integrity-Availability Cyber Attacks in Power System
Wangkun Xu, Fei Teng
As one of the largest and most complex systems on earth, power grid (PG) operation and control have stepped forward as a compound analysis on both physical and cyber layers which m…
Enhanced Cyber-Physical Security Using Attack-resistant Cyber Nodes and Event-triggered Moving Target Defence
Martin Higgins, Keith Mayes, Fei Teng
This paper outlines a cyber-physical authentication strategy to protect power system infrastructure against false data injection (FDI) attacks. We demonstrate that it is feasible t…