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Tao Wang

Publications
27
Citations
659
Publications by Year
20112025
Co-Authors:
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Tao Wang

Affiliation

School of Electrical Engineering and Electronic Information
Xihua University
Chengdu, Sichuan, China
Sichuan Province Key Laboratory of Power Electronics Energy-Saving Technologies and Equipment
Xihua University
Chengdu, Sichuan, China

Publication Topics

Biography

Tao Wang received the Ph.D. degree in electrical engineering from Southwest Jiaotong University, Chengdu, China, in 2016. She was a Visit Student in the Computer Science and Artificial Intelligence, University of Sevilla, Sevilla, Spain, from 2013 to 2014. She has been a Lecturer with the School of Electrical Engineering and Electronic Information, Xihua University, since 2016. Her research interests include fault diagnosis, membrane computing, microgrid energy management, bio-inspired model theory, and its application in electrical power systems.(Based on document published on 14 January 2019).
Publications
27
Citations
659
Publications by Year
20112025
Co-Authors:
Show All Co-Authors (57)
Author's Published Works

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A Novel Electrical Load Forecasting Model for Extreme Weather Events Based on Improved Gated Spiking Neural P Systems and Frequency Enhanced Channel Attention Mechanism

Yuanshuo Guo;Jun Wang;Yan Zhong;Tao Wang;Zeyuan Sui

IEEE Access
Year: 2025 | Volume: 13 | Journal Article |
Accurate short-term load forecasting (LF) under extreme weather is vital for the sustainable development of energy systems. This paper proposes a basic framework for future load forecasting researches of sustainable energy systems under extreme weather events and provides new direction for membrane computing model in terms of load forecasting. Inspired by nonlinear spiking mechanisms in nonlinear ...Show More

A Novel Electrical Load Forecasting Model for Extreme Weather Events Based on Improved Gated Spiking Neural P Systems and Frequency Enhanced Channel Attention Mechanism

Yuanshuo Guo;Jun Wang;Yan Zhong;Tao Wang;Zeyuan Sui

Year: 2025 | Volume: 13 | Journal Article |

Accelerating Safety Verification of Neural Network Dynamical Systems Using Assured Compressed Models

Zhongzhu Shao;Tao Wang;Weiming Xiang

2023 35th Chinese Control and Decision Conference (CCDC)
Year: 2023 | Conference Paper |
In this paper, we develop a formal assured simplification method to accelerate the safety verification process of a neural network model that approximates a nonlinear dynamical system. Firstly, an assured compression error is proposed to describe the maximum output difference introduced by neural network compression. A reachability-based computational process is then developed to estimate the assu...Show More

Accelerating Safety Verification of Neural Network Dynamical Systems Using Assured Compressed Models

Zhongzhu Shao;Tao Wang;Weiming Xiang

Year: 2023 | Conference Paper |

Fault Diagnosis for Distribution Networks Based on Hierar-chical Fuzzy Reasoning Spiking Neural P Systems

Zhibo Cao;Tao Wang

2023 Panda Forum on Power and Energy (PandaFPE)
Year: 2023 | Conference Paper |
The large-scale access of distributed generators can easily affect the accuracy of fault diagnosis results of distribution networks. Accordingly, the fault diagnosis under the complex multi power environment with power network topology changes is an important issue. To deal with that, this paper proposes a fault diagnosis method for distribution networks with lots of distributed gen-erators, based...Show More

Fault Diagnosis for Distribution Networks Based on Hierar-chical Fuzzy Reasoning Spiking Neural P Systems

Zhibo Cao;Tao Wang

Year: 2023 | Conference Paper |

Control design of high-speed train against uncertain parameters and external disturbances

Jia-Ping Liao;Tao Wang

2022 IEEE International Power Electronics and Application Conference and Exposition (PEAC)
Year: 2022 | Conference Paper |
Considering the uncertainty of the internal parameters of high-speed train and the influence of external disturbances, based on the generalized internal-mode control framework(GIMC), H2 control and $\mu -$synthesis methods are used to design a nominal controller that satisfies tracking performance and a robust controller with rejection to disturbances, respectively. A dynamic model of a high-speed...Show More

Control design of high-speed train against uncertain parameters and external disturbances

Jia-Ping Liao;Tao Wang

Year: 2022 | Conference Paper |

An Optimal Frequency Control Method of Asynchronous Power Grid Considering Multi-HVDC Emergency Power Support

Yi Hu;Xiaoru Wang;Tao Huang;Xia Lei;Tao Wang

IEEE Access
Year: 2022 | Volume: 10 | Journal Article |
Cited by: Papers (5)
Emergency DC power support has become an effective frequency stability control approach. For the asynchronous power grid with multi-HVDC links, this paper proposes an optimal control based on wide-area measurements (WAMS). The prominent advantage of this control is to improve the frequency stability of the disturbed grid while taking into account the influence on power flow, node voltage and other...Show More

An Optimal Frequency Control Method of Asynchronous Power Grid Considering Multi-HVDC Emergency Power Support

Yi Hu;Xiaoru Wang;Tao Huang;Xia Lei;Tao Wang

Year: 2022 | Volume: 10 | Journal Article |

A Novel Bilevel False Data Injection Attack Model Based on Pre- and Post- Dispatch

Shibin Gao;Jieyu Lei;Xiaoguang Wei;Yigu Liu;Tao Wang

IEEE Transactions on Smart Grid
Year: 2022 | Volume: 13, Issue: 3 | Journal Article |
Cited by: Papers (7)
This letter develops a new bilevel optimization model to construct false data injection attack based on pre- and post- dispatch. In order to enhance the attack concealment, the proposed bilevel model can minimize the variation of uploaded measurements between pre- and post-attack before dispatching, after which the attack can lead the system to an uneconomic and insecure operating state after disp...Show More

A Novel Bilevel False Data Injection Attack Model Based on Pre- and Post- Dispatch

Shibin Gao;Jieyu Lei;Xiaoguang Wei;Yigu Liu;Tao Wang

Year: 2022 | Volume: 13, Issue: 3 | Journal Article |

An Improved Sensorless Control Scheme for PMSM with Online Parameter Estimation

Tao Wang;Gang Hu;Qi Yu

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)
Year: 2021 | Conference Paper |
Cited by: Papers (6)
This paper proposes an improved sliding mode observer based on super-twisting algorithm (STA-SMO) for sensorless control scheme of permanent magnet synchronous motors. An α-β axis stator current observer is built according to the back electromotive force (EMF) model after the back EMF error signal is obtained. The chattering phenomenon inherent in the traditional STA-SMO is eliminated by restricti...Show More

An Improved Sensorless Control Scheme for PMSM with Online Parameter Estimation

Tao Wang;Gang Hu;Qi Yu

Year: 2021 | Conference Paper |

Complex Network-Based Transmission Network Vulnerability Assessment Using Adjacent Graphs

Tianlei Zang;Shibin Gao;Tao Huang;Xiaoguang Wei;Tao Wang

IEEE Systems Journal
Year: 2020 | Volume: 14, Issue: 1 | Journal Article |
Cited by: Papers (21)
This article proposes an adjacent graph based on the spontaneous faults of an electrical network to assess the electrical network vulnerabilities from the perspective of the overload mechanism. To reveal the propagation features and the adjacent relationships among branches from different angles, fault probability, load shedding, and topological structure-based indices are proposed to define the w...Show More

Complex Network-Based Transmission Network Vulnerability Assessment Using Adjacent Graphs

Tianlei Zang;Shibin Gao;Tao Huang;Xiaoguang Wei;Tao Wang

Year: 2020 | Volume: 14, Issue: 1 | Journal Article |

An optimal operation method for cascade hydro-photovoltaic-pumped storage hybrid generation system

Xing Huang;Jun Wang;SiXiong Cheng;Tao Wang

2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)
Year: 2019 | Conference Paper |
Cited by: Papers (6)
Since photovoltaic power stations and cascade hydropower stations have complementary characteristics, while pumped storage power stations have energy storage and rapid regulation characteristics, it is of great significant to combine cascade hydropower, photovoltaic, pumped storage to increase the absorption of photovoltaic. To improve the stability of the system operation and the economic benefit...Show More

An optimal operation method for cascade hydro-photovoltaic-pumped storage hybrid generation system

Xing Huang;Jun Wang;SiXiong Cheng;Tao Wang

Year: 2019 | Conference Paper |

Smart Home Energy Management Optimization Method Considering Energy Storage and Electric Vehicle

Xuan Hou;Jun Wang;Tao Huang;Tao Wang;Peng Wang

IEEE Access
Year: 2019 | Volume: 7 | Journal Article |
Cited by: Papers (122)
As the last link of an integrated future energy system, the smart home energy management system (HEMS) is critical for a prosumer to intelligently and conveniently manage the use of their domestic appliances, renewable energies (RES) generation, energy storage system (ESS), and electric vehicle (EV). In this paper, we propose a holistic model to center the preference of users when scheduling the i...Show More

Smart Home Energy Management Optimization Method Considering Energy Storage and Electric Vehicle

Xuan Hou;Jun Wang;Tao Huang;Tao Wang;Peng Wang

Year: 2019 | Volume: 7 | Journal Article |

Improved Deadbeat Predictive Control of Asynchronous Motor

Tao Wang;Qiang Hou;Xuehai Wang

2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA)
Year: 2019 | Conference Paper |
In recent years, synergy theory has made great progress in the field of power electronics, and its good robustness provides a new idea for motor control research. In this paper, we take use of rapid convergence of manifold, and introduce it into the control of the speed and flux linkage of the traditional deadbeat control (DC stands for deadbeat control and IDC stands for improved deadbeat control...Show More

Improved Deadbeat Predictive Control of Asynchronous Motor

Tao Wang;Qiang Hou;Xuehai Wang

Year: 2019 | Conference Paper |

Smart Home Energy Management Optimization Method Considering ESS and PEV

Xuan Hou;Jun Wang;Peng Wang;Tao Wang

2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA)
Year: 2019 | Conference Paper |
Cited by: Papers (4)
With the continuous development of smart grid technology, the implementation of smart home energy management system (HEMS) has become possible, where HEMS can potentially change electricity consumption habits of users by reducing costs. In this paper, the HEMS model based on mixed integer linear programming (MILP) is designed to reduce dissatisfaction and cost of consumers. In the meantime, the mo...Show More

Smart Home Energy Management Optimization Method Considering ESS and PEV

Xuan Hou;Jun Wang;Peng Wang;Tao Wang

Year: 2019 | Conference Paper |

Adjacent Graph Based Vulnerability Assessment for Electrical Networks Considering Fault Adjacent Relationships Among Branches

Tianlei Zang;Jieyu Lei;Xiaoguang Wei;Tao Huang;Tao Wang;Mario J. Pérez-Jiménez;Hua Lin

IEEE Access
Year: 2019 | Volume: 7 | Journal Article |
Cited by: Papers (12)
Security issues related to vulnerability assessment in electrical networks are necessary for operators to identify the critical branches. At present, using complex network theory to assess the structural vulnerability of the electrical network is a popular method. However, the complex network theory cannot be comprehensively applicable to the operational vulnerability assessment of the electrical ...Show More

Adjacent Graph Based Vulnerability Assessment for Electrical Networks Considering Fault Adjacent Relationships Among Branches

Tianlei Zang;Jieyu Lei;Xiaoguang Wei;Tao Huang;Tao Wang;Mario J. Pérez-Jiménez;Hua Lin

Year: 2019 | Volume: 7 | Journal Article |

Probability-Based Modeling and Analysis for PS-PWM in an MMC Distributed Control System With Sub-Module Asynchrony

Shunfeng Yang;Haiyu Wang;Haiyu Chen;Wensheng Song;Tao Wang

IEEE Transactions on Power Electronics
Year: 2019 | Volume: 34, Issue: 11 | Journal Article |
Cited by: Papers (11)
Modular multilevel converters for high-voltage dc transmission applications normally adopt a distributed control system, where a large number of local controllers are employed, to manage considerable sub-modules (SMs) in the system. The manufacturing tolerance of crystal oscillators for local controllers introduces controller clock discrepancy and eventually leads to the asynchrony of triangular c...Show More

Probability-Based Modeling and Analysis for PS-PWM in an MMC Distributed Control System With Sub-Module Asynchrony

Shunfeng Yang;Haiyu Wang;Haiyu Chen;Wensheng Song;Tao Wang

Year: 2019 | Volume: 34, Issue: 11 | Journal Article |

Electrical Network Operational Vulnerability Evaluation Based on Small-World and Scale-Free Properties

Xiaoguang Wei;Shibin Gao;Tao Huang;Tao Wang;Tianlei Zang

IEEE Access
Year: 2019 | Volume: 7 | Journal Article |
Cited by: Papers (6)
Assessment of electrical network vulnerability based on complex network theory (CNT) has attracted increasing attention. However, CNT focuses on analyzing the structural vulnerability and has significant limitations regarding operational vulnerability. To address the lack of a comprehensive CNT-based framework to assess operational vulnerability, a temporal-spatial correlation graph (TSCG) that co...Show More

Electrical Network Operational Vulnerability Evaluation Based on Small-World and Scale-Free Properties

Xiaoguang Wei;Shibin Gao;Tao Huang;Tao Wang;Tianlei Zang

Year: 2019 | Volume: 7 | Journal Article |

Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration

Tao Wang;XiaoGuang Wei;Tao Huang;Jun Wang;Hong Peng;Mario J. Pérez-Jiménez;Luis Valencia-Cabrera

IEEE Access
Year: 2019 | Volume: 7 | Journal Article |
Cited by: Papers (36)
To reveal fault propagation paths is one of the most critical studies for the analysis of power system security; however, it is rather difficult. This paper proposes a new framework for the fault propagation path modeling method of power systems based on membrane computing. We first model the fault propagation paths by proposing the event spiking neural P systems (Ev-SNP systems) with neurotransmi...Show More

Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration

Tao Wang;XiaoGuang Wei;Tao Huang;Jun Wang;Hong Peng;Mario J. Pérez-Jiménez;Luis Valencia-Cabrera

Year: 2019 | Volume: 7 | Journal Article |

Complex Network-Based Cascading Faults Graph for the Analysis of Transmission Network Vulnerability

Xiaoguang Wei;Shibin Gao;Tao Huang;Ettore Bompard;Renjian Pi;Tao Wang

IEEE Transactions on Industrial Informatics
Year: 2019 | Volume: 15, Issue: 3 | Journal Article |
Cited by: Papers (60)
Transmission network vulnerability (TNV) assessment is a key issue in power systems to identify the vulnerable components against accidents or malicious threats. Recently, constructing the topological vulnerability indices, particularly extended topological indices, is a popular method to evaluate the network vulnerability. However, the topological vulnerability indices cannot reveal the mechanism...Show More

Complex Network-Based Cascading Faults Graph for the Analysis of Transmission Network Vulnerability

Xiaoguang Wei;Shibin Gao;Tao Huang;Ettore Bompard;Renjian Pi;Tao Wang

Year: 2019 | Volume: 15, Issue: 3 | Journal Article |

Energy Optimization of Rail Transit Power Supply System with PVs and Energy Storage

Tianlei Zang;Yuan Chen;Tao Wang;Yueping Xiang;Wei Liu;Defu Feng

2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2)
Year: 2018 | Conference Paper |
Cited by: Papers (4)
In order to reduce the energy consumption of rail transit power supply, promote the local consumption of photovoltaic, and simultaneously, and improve the power supply flexibility of the system, this paper proposes an energy optimization method of photovoltaic and energy storage accessing to rail transit power supply system. Energy management model with minimal operating costs has been established...Show More

Energy Optimization of Rail Transit Power Supply System with PVs and Energy Storage

Tianlei Zang;Yuan Chen;Tao Wang;Yueping Xiang;Wei Liu;Defu Feng

Year: 2018 | Conference Paper |

Stabilizing Switching Control for DC- DC Converter in Two-Stage Photovoltaic Grid Connected Inverters

Yuwen Liu;Tao Wang;Xijun Wang;Weiming Xiang

2018 5th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
In photovoltaic system, the maximum power point tracking technology (MPPT)makes the input voltage and current of the pre-stage DC-DC converter in a two-stage grid connected inverter variable because of external factors such as light and temperature. In order to improve the stability of pre-stage boost converter under variable input, a switching liner parameter varying (LPV)model of boost converter...Show More

Stabilizing Switching Control for DC- DC Converter in Two-Stage Photovoltaic Grid Connected Inverters

Yuwen Liu;Tao Wang;Xijun Wang;Weiming Xiang

Year: 2018 | Conference Paper |

Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids

Tao Wang;Jun Wang;Jun Ming;Zhang Sun;Chuanxiang Wei;Chun Lu;Mario J. Pérez-Jiménez

IEEE Access
Year: 2018 | Volume: 6 | Journal Article |
Cited by: Papers (16)
The power coordination control of a photovoltaic/battery microgrid is performed with a novel bio-computing model within the framework of membrane computing. First, a neural-like P system with state values (SVNPS) is proposed for describing complex logical relationships between different modes of Photovoltaic (PV) units and energy storage units. After comparing the objects in the neurons with the t...Show More

Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids

Tao Wang;Jun Wang;Jun Ming;Zhang Sun;Chuanxiang Wei;Chun Lu;Mario J. Pérez-Jiménez

Year: 2018 | Volume: 6 | Journal Article |

Fault diagnosis for multi-energy flows of energy internet: Framework and prospects

Tao Wang;Jun Wang;Zhennan Fan;Xiaoguang Wei;Tianlei Zang;Mario J. Pérez-Jiménez;Tao Huang

2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)
Year: 2017 | Conference Paper |
Cited by: Papers (2)
Energy Internet (EI) is an inevitable development trend of energy systems under the background of technology development, environmental pressure and energy transition. Multi-energy flow coupling is one of the key characteristics of the EI, which enhances the interoperability of different types of energy flows while consequently increases the probability of cascading failures. Therefore it is of gr...Show More

Fault diagnosis for multi-energy flows of energy internet: Framework and prospects

Tao Wang;Jun Wang;Zhennan Fan;Xiaoguang Wei;Tianlei Zang;Mario J. Pérez-Jiménez;Tao Huang

Year: 2017 | Conference Paper |

Competitive Spiking Neural P Systems With Rules on Synapses

Hong Peng;Ru Chen;Jun Wang;Xiaoxiao Song;Tao Wang;Fan Yang;Zhang Sun

IEEE Transactions on NanoBioscience
Year: 2017 | Volume: 16, Issue: 8 | Journal Article |
Cited by: Papers (33)
This paper proposes an extension of spiking neural P systems with rules on synapses (SNP-RS systems) working in competitive strategy, called competitive SNP-RS (CSNP-RS systems). In CSNP-RS systems, the spikes are viewed as a kind of competitive resources, and the rules on different synapses will compete the spikes (resources) in neurons. A new strategy is considered: the total amount of spikes co...Show More

Competitive Spiking Neural P Systems With Rules on Synapses

Hong Peng;Ru Chen;Jun Wang;Xiaoxiao Song;Tao Wang;Fan Yang;Zhang Sun

Year: 2017 | Volume: 16, Issue: 8 | Journal Article |

Mitigating stealth attacks against distribution grid: A historical running state database-aided approach

Jie Zhu;Tao Wang

2016 IEEE International Conference on Power System Technology (POWERCON)
Year: 2016 | Conference Paper |
A historical running state database-aided stealth attacks (SAs) mitigation approach, aiming to secure distribution grid that relied on nonlinear state estimation model, is proposed. By checking the consistency between traditional nonlinear state estimation outputs and the most likely running states extracted by adaptive neuro-fuzzy inference system (ANFIS) from historical running state database, t...Show More

Mitigating stealth attacks against distribution grid: A historical running state database-aided approach

Jie Zhu;Tao Wang

Year: 2016 | Conference Paper |

Optimal switching law design of periodic switching systems based on mode-dependent average dwell time

Tao Wang;Qian Zhang;Mingzhe Niu

2016 35th Chinese Control Conference (CCC)
Year: 2016 | Conference Paper |
Periodic switching system is an important class of switching systems. There are lots of issues to study in the field of designing switching laws for periodic switching systems and making it work optimally under the premise of global uniform exponential stability. In the research of how to achieve the optimal switching control for periodic switching systems when periodic running time of one of the ...Show More

Optimal switching law design of periodic switching systems based on mode-dependent average dwell time

Tao Wang;Qian Zhang;Mingzhe Niu

Year: 2016 | Conference Paper |

Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems

Tao Wang;Gexiang Zhang;Junbo Zhao;Zhengyou He;Jun Wang;Mario J. Pérez-Jiménez

IEEE Transactions on Power Systems
Year: 2015 | Volume: 30, Issue: 3 | Journal Article |
Cited by: Papers (193)
This paper proposes a graphic modeling approach, fault diagnosis method based on fuzzy reasoning spiking neural P systems (FDSNP), for power transmission networks. In FDSNP, fuzzy reasoning spiking neural P systems (FRSN P systems) with trapezoidal fuzzy numbers are used to model candidate faulty sections and an algebraic fuzzy reasoning algorithm is introduced to obtain confidence levels of candi...Show More

Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems

Tao Wang;Gexiang Zhang;Junbo Zhao;Zhengyou He;Jun Wang;Mario J. Pérez-Jiménez

Year: 2015 | Volume: 30, Issue: 3 | Journal Article |

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