Imperial College London

DrFeiTeng

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 6178f.teng Website CV

 
 
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Location

 

1113Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
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72 results found

Higgins M, Mayes K, Teng F, 2021, Enhanced cyber-physical security using attack-resistant cyber nodes and event-triggered moving target defence, IET CYBER-PHYSICAL SYSTEMS: THEORY & APPLICATIONS

Journal article

Ge P, Zhu Y, Green TC, Teng Fet al., 2021, Resilient Secondary Voltage Control of Islanded Microgrids: An ESKBF-Based Distributed Fast Terminal Sliding Mode Control Approach, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 36, Pages: 1059-1070, ISSN: 0885-8950

Journal article

Zhao J, Wu Q, Li FF, Hatziargyriou ND, Teng Fet al., 2021, Decentralized Data-Driven Load Restoration in Cou-pled Transmission and Distribution System with Wind Power, IEEE Transactions on Power Systems, ISSN: 0885-8950

This paper proposes a new decentralized data-driven load res-toration (DDLR) scheme for transmission and distribution (TD) systems with high penetration of wind power. Robust DDLR models are constructed in order to handle uncertainties and ensure the feasibility of decentralized schemes. The Wasserstein metric is used to describe the ambiguity sets of probability distributions in order to build the complete DDLR model and realize computationally tractable formulation. A data-driven model-nested analytical target cascading (DATC) algorithm is developed to obtain the final load restoration result by iteratively solving small-scale mathematical models. The proposed DDLR scheme provides load restoration results with adjustable robustness, and performance efficiency is independent from the amount of data. The DDLR scheme makes full use of the available data while respecting information privacy requirements of independently operated systems, and ensures the feasibility of the decentralized load restoration strategy even in the worst-case condition. The effectiveness of the proposed method is validated using a small-scale TDS and a large-scale system with the IEEE 118-bus TS and thirty IEEE-33 DSs, showing high computational efficiency and superior restoration performance.

Journal article

Li H, Qiao Y, Lu Z, Zhang B, Teng Fet al., 2021, Frequency Constrained Stochastic Planning Towards a High Renewable Target Considering Frequency Response Support from Wind Power, IEEE Transactions on Power Systems, ISSN: 0885-8950

The rotational inertia and primary frequency response capabilities of power systems are declining as synchronous generators (SGs) are replaced by inverter-based variable renewable energy (VRE) resources. Therefore, when a high VRE proportion is present, it becomes essential to include frequency security constraints in power system planning. Under this circumstance, the decline in SGs would deteriorate the system frequency response performance; thus, inverter-based resources are supposed to provide frequency response support. This paper presents a frequency-constrained stochastic planning method for high VRE share systems. Frequency support from wind farms is considered in the planning for the first time, and the unique characteristics of wind power support are addressed. Specifically, the uncertainty of and variations in wind power support are modeled from the field-measured data, and the optimal combination of various support schemes can be determined by introducing binary variables into the planning. Moreover, the nonlinear frequency constraints are transformed and embedded in the planning model by the proposed computationally efficient adaptive piecewise linearization method. Finally, case studies validate the proposed method, with results indicating time savings of 22%. Compared with the case that only SGs provide frequency support, considering wind power support can improve the VRE share from 49.5% to 79.7%.

Journal article

Chu Z, Teng F, 2021, Short Circuit Current Constrained UC in the High IBG-Penetrated Power Systems, IEEE Transactions on Power Systems, ISSN: 0885-8950

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 system Short Circuit Current (SCC) is much less than that from the conventional Synchronous Generators (SGs) thus reducing the system strength and posing challenges to system protection and stability. This paper proposes a Unit Commitment (UC) model with SCC constraint in high IBG-penetrated systems to ensure minimum operation cost while maintaining the SCC level at each bus in the system. The SCC from synchronous generators as well as the IBGs are explicitly modeled in the formulation leading to an SCC constraint involving decision-dependent matrix inverse. This highly nonlinear constraint is further reformulated into linear form conservatively. The influence of the SCC constraint on the system operation and its interaction with the frequency regulation are demonstrated through simulations on IEEE 30- and 118-bus systems.

Journal article

Yang J, Zhang S, Xiang Y, Liu J, Liu J, Han X, Teng Fet al., 2020, LSTM auto-encoder based representative scenario generation method for hybrid hydro-PV power system, IET GENERATION TRANSMISSION & DISTRIBUTION, Vol: 14, Pages: 5935-5943, ISSN: 1751-8687

Journal article

Zhang Y, Shan Q, Li T, Teng Fet al., 2020, Energy Dispatch Scheme on Ship Integrated Energy System with Photovoalatic and CHP, Pages: 3339-3344

Maritime industry with huge energy consumption and pollution, has become an urgent problem, which promotes us to consider the ship integrated energy system (IES) [1]. A kind of ship IES has been concerned in this paper, which consists of electrical and heating system. An energy dispatch scheme has been proposed as well, which promotes the coupling efficiency of electrical and heating energy for ships. This paper integrates combined heating and power device (CHPD), energy storage system (ESS), renewable generation device like photovolatic in the energy system (ES) to ensure the eco-friendly sailing. Moreover, a penalty coefficient, relating to the state and outputs of ESS, has been considered in the dispatch scheme which can promote cost function to be more flexible. Through the proposed power dispatch scheme, the heating and electrical power outputs of each generation device during every period of time can be dispatched efficiently. Corresponding objective function with correlation parameters can be solved by dynamic programming (DP). Finally, the simulation illustrates the effectiveness of the proposed scheme.

Conference paper

Badesa L, Teng F, Strbac G, 2020, Optimal Portfolio of Distinct Frequency Response Services in Low-Inertia Systems, Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Working paper

Bao W, Wu Q, Ding L, Huang S, Teng F, Terzija Vet al., 2020, Synthetic inertial control of wind farm with BESS based on model predictive control, IET RENEWABLE POWER GENERATION, Vol: 14, Pages: 2447-2455, ISSN: 1752-1416

Journal article

Higgins M, Teng F, Parisini T, 2020, Stealthy MTD against unsupervised learning-based blind FDI Attacks in power systems, IEEE Transactions on Information Forensics and Security, Vol: 16, Pages: 1275-1287, ISSN: 1556-6013

This paper examines how moving target defenses (MTD) implemented in power systems can be countered by unsupervised learning-based false data injection (FDI) attack and how MTD can be combined with physical watermarking to enhance the system resilience. A novel intelligent attack, which incorporates dimensionality reduction and density-based spatial clustering, is developed and shown to be effective in maintaining stealth in the presence of traditional MTD strategies. In resisting this new type of attack, a novel implementation of MTD combining with physical watermarking is proposed by adding Gaussian watermark into physical plant parameters to drive detection of traditional and intelligent FDI attacks, while remaining hidden to the attackers and limiting the impact on system operation and stability.

Journal article

Strbac G, Pudjianto D, Aunedi M, Djapic P, Teng F, Zhang X, Ameli H, Moreira R, Brandon Net al., 2020, Role and value of flexibility in facilitating cost-effective energy system decarbonisation, Progress in Energy, Vol: 2, Pages: 042001-042001

Journal article

Ge P, Chen B, Teng F, 2020, Event-triggered distributed model predictive control for resilient voltage control of an islanded microgrid, INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, ISSN: 1049-8923

Journal article

O'Malley C, Aunedi M, Teng F, Strbac Get al., 2020, Value of Fleet Vehicle to Grid in Providing Transmission System Operator Services

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 commitment model is employed to optimally schedule EV charging and discharging as well as the provision of frequency response (FR) in an electricity system, while respecting the vehicles' energy requirements and driving schedules. Through case studies we demonstrate that an EV with vehicle to grid (V2G) capability can reduce system costs in a future GB electricity grid by up to £12, 000 per year, and reduce CO2 emissions by 60 tonnes per year, mainly due to reduced curtailment of wind power. The paper also quantifies the changes in the benefits of fleet V2G resulting from variations in FR delivery time, the penetration of wind or the uptake of alternative flexibility providers. Finally, a battery degradation model dependent on an EV's state of charge is proposed and implemented in the stochastic scheduling problem. It enables significant degradation cost reductions of 16% with only a 0.4% reduction of an EV's system value.

Conference paper

Teng F, Ding Z, Hu Z, Sarikprueck Pet al., 2020, Technical Review on Advanced Approaches for Electric Vehicle Charging Demand Management, Part I: Applications in Electric Power Market and Renewable Energy Integration, IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, Vol: 56, Pages: 5684-5694, ISSN: 0093-9994

Journal article

Lee W-J, Strbac G, Hu Z, Ding Z, Sarikprueck P, Teng F, Kariniotakis Get al., 2020, Special Issue on Advanced Approaches and Applications for Electric Vehicle Charging Demand Management, IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, Vol: 56, Pages: 5682-5683, ISSN: 0093-9994

Journal article

Li X, Xiang Y, Lyu L, Ji C, Zhang Q, Teng F, Liu Yet al., 2020, Price Incentive-Based Charging Navigation Strategy for Electric Vehicles, IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, Vol: 56, Pages: 5762-5774, ISSN: 0093-9994

Journal article

Teng F, Shan QH, Li TS, 2020, Intelligent Ship Integrated Energy System and Its Distributed Optimal Scheduling Algorithm, Zidonghua Xuebao/Acta Automatica Sinica, Vol: 46, Pages: 1809-1817, ISSN: 0254-4156

Shipping pollution seriously hinders the development of marine economy and becomes a key bottleneck in the construction of a powerful marine country. The emergence of intelligent ship provides an important means for the green maritime transportation and sustainable development of shipping industry. In order to further develop new energy on board, improve the comprehensive energy efficiency and reduce the emission of shipping pollution, this paper takes the energy conversion center as the hub and constructs the model of intelligent ship integrated energy system cored with the energy optimal scheduling system. Simultaneously, the objective function and relevant constraints of energy optimal scheduling, of the intelligent ship integrated energy system are established in the conditions of the special dynamical system's load demand, low pollution emission standard of navigation and the electrothermal coupling supply characteristics. On the other hand, combined with broad learning and multi-agent distributed optimization theory with generalized noise, a distributed optimal scheduling method is proposed. This method can not only predict the load demand of all periods of the whole voyage quickly and accurately, but also accommodate complex noises, which can realize the efficient energy optimal scheduling of the intelligent ship integrated energy system and ensure the economic, reliable and stable navigation of the intelligent ship. Finally, the simulation results show the effectiveness of the proposed distributed optimal scheduling method.

Journal article

Ding Z, Teng F, Sarikprueck P, Hu Zet al., 2020, Technical Review on Advanced Approaches for Electric Vehicle Charging Demand Management, Part II: Applications in Transportation System Coordination and Infrastructure Planning, IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, Vol: 56, Pages: 5695-5703, ISSN: 0093-9994

Journal article

Luo J, Bu S, Teng F, 2020, An optimal modal coordination strategy based on modal superposition theory to mitigate low frequency oscillation in FCWG penetrated power systems, International Journal of Electrical Power & Energy Systems, Vol: 120, Pages: 1-11, ISSN: 0142-0615

Full converter-based wind power generation (FCWG, e.g. permanent magnet synchronous generator (PMSG)) becomes prevalent in power electronics dominated multi-machine power system (MMPS). With flexibly modified FCWG oscillation modes (FOMs), FCWG has the potential to actuate conducive dynamic interactions with electromechanical oscillation modes (EOMs) of MMPS. In this paper, a mathematical model of FCWG and MMPS is firstly derived to examine the dynamic interactions. Then a novel modal superposition theory is proposed to classify the modal interactions between FOMs and EOMs in the complex plane for the first time. The modal coupling mechanism is graphically visualized to investigate the dynamic interactions, and the eigenvalue shift index is proposed to quantify the dynamic interaction impact on critical EOM. Based on different manifestos in modal coupling mechanism and eigenvalue shift index, a novel methodology to optimize the dynamic interactions between the FCWG and MMPS is designed within the existing control frame. The optimized dynamic interactions (i.e. modal counteraction) can significantly enhance the LFO stability of MMPS, effectiveness of which is verified by both modal analysis and time domain simulations.

Journal article

Chu Z, Zhao M, Teng F, 2020, Modelling of dynamic line rating in system scheduling: A MISOCP formulation, ISSN: 1944-9925

The thermal limit of overhead lines is one of the key constraints in system scheduling problem to ensure the system security and efficiency. In order to achieve better utilization of overhead lines, especially in a distribution system with high renewable energy penetration, this paper proposes a stochastic system scheduling model with Dynamic Line Rating (DLR) constraints. The nonlinear nonconvex DLR constraints derived from the Heat Balance Equation (HBE) are relaxed to Second-Order Cone (SOC) formulation. Therefore, mixed-integer SOC Programming (SOCP) is developed, which is more accurate than the traditional linear programming and can be solved efficiently. A modified IEEE 14-bus system is applied to investigate the effectiveness of relaxation and demonstrate the economic benefit.

Conference paper

Ge P, Chen B, Teng F, 2020, Event-triggered distributed MPC for resilient voltage control of an islanded microgrid, Publisher: arXiv

This paper addresses the problem of distributed secondary voltage control ofan islanded microgrid (MG) from a cyber-physical perspective. Anevent-triggered distributed model predictive control (DMPC) scheme is designedto regulate the voltage magnitude of each distributed generators (DGs) in orderto achieve a better trade-off between the control performance and communicationand computation burdens. By using two novel event triggering conditions thatcan be easily embedded into the DMPC for the application of MG control, thecomputation and communication burdens are significantly reduced with negligiblecompromise of control performance. In addition, to reduce the sensor cost andto eliminate the negative effects of non-linearity, an adaptive non-asymptoticobserver is utilized to estimate the internal and output signals of each DG.Thanks to the deadbeat observation property, the observer can be appliedperiodically to cooperate with the DMPC-based voltage regulator. Finally, theeffectiveness of the proposed control method has been tested on a simpleconfiguration with 4 DGs and the modified IEEE-13 test system through severalrepresentative scenarios.

Working paper

Guo J, Badesa Bernardo L, Teng F, Chaudhuri B, Hui S, Strbac Get al., 2020, Value of point-of-load voltage control for enhanced frequency response in future GB power system, IEEE Transactions on Smart Grid, Vol: 11, Pages: 4938-4948, ISSN: 1949-3053

The need for Enhanced Frequency Response (EFR)is expected to increase significantly in future low-carbon GreatBritain (GB) power system. One way to provide EFR is touse power electronic compensators (PECs) for point-of-loadvoltage control (PVC) to exploit the voltage dependence of loads.This paper investigates the techno-economic feasibility of suchtechnology in future GB power system by quantifying the totalEFR obtainable through deploying PVC in the urban domesticsector, the investment cost of the installment and the economicand environmental benefits of using PVC. The quantificationis based on a stochastic domestic demand model and genericmedium and low-voltage distribution networks for the urbanareas of GB and a stochastic unit commitment (SUC) modelwith constraints for secure post-fault frequency evolution is usedfor the value assessment. Two future energy scenarios in thebackdrop of 2030 with ‘smart’ and ‘non-smart’ control of electricvehicles and heat pumps, under different levels of penetration ofbattery energy storage system (BESS) are considered to assessthe value of PEC, as well as the associated payback period. Itis demonstrated that PVC could effectively complement BESStowards EFR provision in future GB power system.

Journal article

Cheng C, Ma G, Zhang Y, Sun M, Teng F, Ding H, Yuan Yet al., 2020, A Deep Learning-Based Remaining Useful Life Prediction Approach for Bearings, IEEE-ASME TRANSACTIONS ON MECHATRONICS, Vol: 25, Pages: 1243-1254, ISSN: 1083-4435

Journal article

Shen F, Wu Q, Xu Y, Li F, Teng F, Strbac Get al., 2020, Hierarchical service restoration scheme for active distribution networks based on ADMM, International Journal of Electrical Power & Energy Systems, Vol: 118, Pages: 1-10, ISSN: 0142-0615

Effective self-healing schemes enhance the resilience of active distribution networks (ADNs). As a critical part of self-healing, service restoration aims to restore outage areas with minimal un-supplied demands. With the increasing complexity and size of ADNs, distribution system operators (DSOs) face a more complicated service restoration problem. Thus, it is important to obtain optimal service restoration plans and reduce computational complexity. To achieve this goal, a hierarchical service restoration scheme is proposed to obtain service restoration plans based on the alternating direction method of multipliers (ADMM). The optimal service restoration problem is formulated as a mixed-integer linear programming (MILP) model considering the switching sequence, distributed generation (DG) units and controllable loads, and is solved using the ADMM-based algorithm in a hierarchical manner. In the proposed scheme, each zone of the ADN has a local service restoration controller solving its sub-problem with information from a central service restoration controller. The central controller solves a global coordination problem with information from all the zones. Three case studies were conducted with the 44-node test system, modified IEEE 123-node system and Brazil 948-node system. The results show that the proposed hierarchical service restoration can obtain optimal service restoration plans and reduce computational complexity. Moreover, computation time can be reduced substantially by using the proposed hierarchical scheme for large-scale ADNs.

Journal article

Zhang Z, Du E, Teng F, Zhang N, Kang Cet al., 2020, Modeling frequency dynamics in unit commitment with a high share of renewable energy, IEEE Transactions on Power Systems, Vol: 35, Pages: 4383-4395, ISSN: 0885-8950

The power system inertia is gradually decreasing with the growing share of variable renewable energy (VRE). This may jeopardize the frequency dynamics and challenges the secure operation of power systems. In this paper, the concept of frequency security margin is proposed to quantify the system frequency regulation ability under contingency. It is defined as the maximum power imbalance that the system can tolerate while keeping frequency within the tolerable frequency range. A frequency constrained unit commitment (FCUC) model considering frequency security margin is proposed. Firstly, the analytical formulation of system frequency nadir is derived while considering both the frequency regulation characteristics of the thermal generators and the frequency support from VRE plants. Then, the frequency security margin is analytically formulated and piecewise linearized. A novel FCUC model is proposed by incorporating linear frequency security constraints into the traditional unit commitment model. Case studies on a modified IEEE RTS-79 system and HRP-38 system are provided to verify the effectiveness of the proposed FCUC model. The impacts of VRE penetration on system frequency security are analyzed using frequency security margin.

Journal article

Chu Z, Markovic U, Hug G, Teng Fet al., 2020, Towards optimal system scheduling with synthetic inertia provision from wind turbines, IEEE Transactions on Power Systems, Vol: 35, Pages: 4056-4066, ISSN: 0885-8950

The undergoing transition from conventional to converter-interfaced renewable generation leads to significant challenges in maintaining frequency stability due to declining system inertia. In this paper, a novel control framework for Synthetic Inertia (SI) provision from Wind Turbines (WTs) is proposed, which eliminates the secondary frequency dip and allows the dynamics of SI from WTs to be analytically integrated into the system frequency dynamics. Furthermore, analytical system frequency constraints with SI provision from WTs are developed and incorporated into a stochastic system scheduling model, which enables the provision of SI from WTs to be dynamically optimized on a system level. Several case studies are carried out on a Great Britain 2030 power system with different penetration levels of wind generation and inclusion of frequency response requirements in order to assess the performance of the proposed model and analyze the influence of the improved SI control scheme on the potential secondary frequency dip. The results demonstrate that the inclusion of SI provision from WTs into Unit Commitment (UC) can drastically impact the overall system costs.

Journal article

Malekpour M, Azizipanah-Abarghooee R, Teng F, Strbac G, Terzija Vet al., 2020, Fast Frequency Response From Smart Induction Motor Variable Speed Drives, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 35, Pages: 997-1008, ISSN: 0885-8950

Journal article

Badesa L, Teng F, Strbac G, 2020, Pricing inertia and Frequency Response with diverse dynamics in a Mixed-Integer Second-Order Cone Programming formulation, Applied Energy, Vol: 260, Pages: 1-11, ISSN: 0306-2619

Low levels of system inertia in power grids with significant penetration of non-synchronous Renewable Energy Sources (RES) have increased the risk of frequency instability. The provision of a certain type of ancillary services such as inertia and Frequency Response (FR) is needed at all times, to maintain system frequency within secure limits if the loss of a large power infeed were to occur. In this paper we propose a frequency-secured optimisation framework for the procurement of inertia and FR with diverse dynamics, which enables to apply a marginal-pricing scheme for these services. This pricing scheme, deduced from a Mixed-Integer Second-Order Cone Program (MISOCP) formulation that represents frequency-security constraints, allows for the first time to appropriately value multi-speed FR.

Journal article

Zhao P, Gu C, Cao Z, Xie D, Teng F, Li J, Chen X, Wu C, Yu D, Xu X, Li Set al., 2020, A Cyber-Secured Operation for Water-Energy Nexus, IEEE Transactions on Power Systems, ISSN: 0885-8950

The wide implementation of information and communication technologies (ICT) cause power system operations exposed to cyber-attacks. Meanwhile, the tendency of integrated multi energy vectors has worsened this issue with multiple energy coupled. This paper proposes a two-stage risk-averse mitigation strategy for integrated energy systems (IES), incorporating power, natural gas and water systems against false data injection attacks (FDIA) under water-energy nexus. The FDIA on individual sub-systems is modelled through hampering false data integrity to the systems. An innovative two-stage risk-averse distributionally robust optimization (RA-DRO) is proposed to mitigate uneconomic operation and provides a coordinated optimal load shedding scheme for the nexus system security. A coherent risk measure, Conditional Value-at-Risk is incorporated into the RA-DRO to model risk. A Benders decomposition method is used to solve the original NP-hard RA-DRO problem. Case studies are demonstrated on an IES under water-energy nexus and results show that the effectiveness of the method to mitigate risks from potential FDIA and renewable uncertainties. This research provides IES operators an economic system operation tool by optimally coordinating energy infrastructures and implementing reasonable load shedding to enhance cybersecurity.

Journal article

Luo J, Teng F, Bu S, 2020, Stability-Constrained Power System Scheduling: A Review, IEEE ACCESS, Vol: 8, Pages: 219331-219343, ISSN: 2169-3536

Journal article

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