Wei Sun

University of Central Florida

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Yunhe Hou

University of Hong Kong

Hamed Haggi

University of Central Florida

Reza Roofegari nejad

AspenTech (United States)

Kai Sun

University of Tennessee at Knoxville

Junjian Qi

South Dakota State University

Mazhar Ali

University of Central Florida

James M. Fenton

University of Central Florida

Paul Brooker

Orlando Health

Xue Gao

University of Central Florida

I. Fernandez

University of Central Florida

Cooperative Institutions

University of Central Florida

Tsinghua University

University of Hong Kong

Chinese Academy of Sciences

Huazhong University of Science and Technology

South Dakota State University

Aerospace Information Research Institute

Tianjin University

City University of Hong Kong, Shenzhen Research Institute

University of Electronic Science and Technology of China

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Measurement of collaborative agglomeration of high-tech industries in Beijing and influencing factors

地理科学进展 (2025)

GUO Qianyu LI Cheng-jin Hou Lin-chun Wei Sun

High tech

10.18306/dlkxjz.2025.02.008

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Preferred core conceptual design of pebble bed advanced high temperature reactor

Annals of Nuclear Energy (2020)

Lianjie Wang Wei Sun Bangyang Xia Yang Zou Rui Yan

Shut down

Pebble

Conceptual design

Control rod

10.1016/j.anucene.2020.107983

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Citations (1)

Proactive Scheduling of Hydrogen Systems for Resilience Enhancement of Distribution Networks

Hamed Haggi Wei Sun James M. Fenton Paul Brooker

Recent advances in smart grid technologies bring opportunities to better control the modern and complex power grids with renewable integration. The operation of power systems, especially distribution network (DN), is facing with preeminent challenges from cyber-physical-human (CPH) threats and natural disasters. In order to provide better response against threats and improve the resilience of power grid, proactive plans and operational schemes are required by system operators to minimize the damages caused by CPH threats. To that end, this paper proposes a proactive plan for DN operation by using hydrogen (H2) systems to enhance the resilience through cost-effective long-term energy storage. Unlike batteries, H2 energy can be stored in the storage tanks days before the extreme event, and transformed into power by fuel cell units in the post-event time to reduce load curtailment caused by CPH threats. The proposed framework is validated by testing on 33-node test feeder. Simulation results demonstrate that H2 systems can improve the resilience of DN during $N-m$ outages lasting for more than 10 hours.

Resilience

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Research on Rural Collective Land Ownership Survey in Tongzhou District in Beijing

Ningxia Journal of Agriculture and Forestry Science and Technology (2012)

Wei Sun

The field investigation process of rural collective land ownership in Tongzhou District of Beijing were introduced.And the processing,storage and mapping process of survey data by using Guangzhou CASS software were summarized.

Field survey

Survey data collection

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Optimal scheduling model of wind power generation considering the participation of electric vehicle batteries

The Journal of Engineering (2017)

Feng Liang Kuihua Wu Jian Wu Wei Sun Bo Yang

10.1049/joe.2017.0668

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Bayesian GAN-Based False Data Injection Attack Detection in Active Distribution Grids With DERs

IEEE Transactions on Smart Grid (2023)

Jian Xie Airin Rahman Wei Sun

Advancements in information and communication technologies have revolutionized monitoring and control capabilities within smart grids. However, it also brings new vulnerabilities to data acquisition systems and state estimation functions, which attackers can subtly tamper with the measurement data through compromising the communication network. Moreover, the high penetration of renewable energy sources with the inherited characteristics of uncertainty and variability further complicates the design of effective intrusion detection systems. In this paper, a Bayesian deep learning-based approach is developed to detect cyber attacks and maintain the security of smart grids. Our method specifically addresses the prevalent issue of imbalanced data in real power systems, which arises from the predominance of normal system operations over compromised or attacked states. Employing a novel Bayesian GAN-based technique, our approach successfully discriminates between secure and compromised measurement data, even in scenarios with significant data imbalance. Furthermore, the proposed method accommodates various practical application factors, ensuring accurate intrusion detection despite the presence of measurement noise. The feasibility and effectiveness of the proposed detection mechanism are validated by testing on IEEE 13-node and 123-node test systems. Simulation results and comparisons with literature methods demonstrate the superiority of proposed cybersecurity solutions.

10.1109/tsg.2023.3337340

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Investigation and analysis of the current state of athletes in China participating in injury insurance

journal of physical education (2007)

Wei Sun

The authors investigated the current state of athletes in representative cities and provinces in China par-ticipating in injuring insurance,and revealed the following findings: Only 32.2% of athletes in China had partici-pated in the insurance;the proportion of athletes who had participated in the insurance was relatively large in economy developed areas and part of big provinces of sport;more front line athletes(76.1%) had participated in the insurance,while the proportions of second line and third line athletes who had participated in the insurance were less than 1/2,40.7% and 21.5% respectively;there was no difference between the athletes in big provinces of sport in economy developed areas and those in economy underdeveloped areas in terms of the types of insurance partici-pated,which were limited to limited types of insurance such as medical insurance,injury relief insurance,accidental injury insurance,labor insurance and free will commercial insurance.

Medical insurance

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Constraints of System Restoration

Kai Sun Yunhe Hou Wei Sun Junjian Qi

A restoration strategy study is performed to verify the feasibility in terms of both steady-state and transient operating conditions. Utilizing a black-start source to restore generation capacity is one of the most important tasks in power system restoration, since the restoration duration can be significantly prolonged without sufficient energy sources. System sectionalizing is applied to reduce restoration time for both distribution systems and transmission systems. During black start, the electromagnetic transients are an important consideration, with the power system in transition from one state to another. Electromagnetic transients can significantly impact the safety during system restoration. At the early stage of system restoration, a large inrush current may be incurred as a result of parallel resonance between line capacitance and transformer reactance when the no-load transformer is put into operation. To avoid overloading, the characteristics of the cold load must be taken into account and the cold load recovery model should be established.

Inrush current

Reactance

Transient (computer programming)

Transmission system

10.1002/9781119282075.ch6

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Citations (2)

Optimal distribution system restoration using PHEVs

IET Smart Grid (2018)

Wei Sun Nemica Kadel I. Fernandez Reza Roofegari nejad Amir Golshani

Power outages cost billions of dollars every year and jeopardise the lives of hospital patients. Traditionally, power distribution system takes a long time to recover after a major blackout, due to its top-down operation strategy. New technologies in modern distribution systems bring opportunities and challenges to distribution system restoration. As fast response energy resources, plug-in hybrid electric vehicles (PHEVs) can accelerate the load pickup by compensating the imbalance between available generation and distribution system load. This study provides a bottom-up restoration strategy to use PHEVs for reliable load pickup and faster restoration process. The optimisation problem of finding load pickup sequence to maximise restored energy is formulated as a mixed integer linear programming (MILP) problem. Moreover, the coordination between transmission and distribution restoration is developed to efficiently restore the entire system back to normal operating conditions. Simulation results on one 100-feeder test system demonstrate the efficiency of MILP-based restoration strategy and the benefit from PHEVs to restore more energy in given restoration time. The proposed restoration strategy has great potential to facilitate system operators to achieve efficient system restoration plans. It also provides incentives to deploy a large amount of PHEVs to improve system resiliency.

10.1049/iet-stg.2018.0054

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Citations (32)

Applications of thermostatically controlled loads for demand response with the proliferation of variable renewable energy

Frontiers in Energy (2021)

Meng Song Wei Sun

Demand Response

Load shifting

10.1007/s11708-021-0732-5

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Citations (9)