Xinli Fang

ORCID: 0000-0003-3413-0316
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About
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Research Areas
  • Microgrid Control and Optimization
  • Smart Grid Energy Management
  • Fuzzy Logic and Control Systems
  • Advanced Algorithms and Applications
  • Neural Networks Stability and Synchronization
  • Optimal Power Flow Distribution
  • Electric Vehicles and Infrastructure
  • Nonlinear Dynamics and Pattern Formation
  • Chaos control and synchronization
  • Complex Network Analysis Techniques
  • Energy Harvesting in Wireless Networks
  • Opinion Dynamics and Social Influence
  • Industrial Technology and Control Systems
  • Power Systems and Technologies
  • Energy Load and Power Forecasting
  • Solar Radiation and Photovoltaics
  • Wind Energy Research and Development
  • Mineral Processing and Grinding
  • Water Quality Monitoring Technologies
  • Advanced Software Engineering Methodologies
  • Distributed Control Multi-Agent Systems
  • Hybrid Renewable Energy Systems
  • Iterative Learning Control Systems
  • Peer-to-Peer Network Technologies
  • Service-Oriented Architecture and Web Services

Powerchina Huadong Engineering Corporation (China)
2015-2020

PowerChina (China)
2018

Zhejiang University
2012-2018

Shanghai Electric (China)
2017

Zhejiang University of Science and Technology
2014

University of Jinan
2008-2010

Shandong University
2009

Accurate generation prediction at multiple time-steps is of paramount importance for reliable and economical operation wind farms. This study proposed a novel algorithmic solution using various forms machine learning techniques in hybrid manner, including phase space reconstruction (PSR), input variable selection (IVS), K-means clustering adaptive neuro-fuzzy inference system (ANFIS). The PSR technique transforms the historical time series into set phase-space variables combining with...

10.3390/en11081975 article EN cc-by Energies 2018-07-30

Due to the installation of different forms small-scale distributed generators (DGs), e.g. wind turbines, photovoltaic (PV) panels in domestic scope as well emergence real-time electricity pricing, achieving a cost-effective energy management through appropriately scheduling operation appliances becomes feasible. In this paper, we present an algorithmic solution aiming investigate potential economical benefits matching generation demand load control at level. Also pricing (RTP) scheme is...

10.1109/powercon.2014.6993601 article EN 2014-10-01

The tank system is a typical model, which abstracted from water level in industry field. Generally it has the characters of time lags, non-linearity and difficult to making model building etc. For these reasons, traditional PID control sometimes canpsilat obtain content effects. This paper mostly adopts fuzzy controller fuzzy-PID system. By comparing results with PID, showed be better controller, both advantages control, possesses characteristics dynamic response higher stability.

10.1109/icnc.2008.293 article EN 2008-01-01

The tank system is a typical industrial model, which abstracted from water level in process industry field. Generally it has the characters of time lags, non-linearity and difficult to build mathematics model etc. For some deviant problems often appeared during control system, this paper adopts fuzzy decision strategy deal with them. simulation effects controller show that responding quickly, small overshoot less static errors, practicably feasible area.

10.1109/his.2009.138 article EN 2009-01-01

This paper exploits the network outer synchronization problem in a generic context for complex networks with nonlinear time-delay characteristics and nonidentical time-varying topological structures. Based on classic Lyapunov stability theory, criteria adaptive control strategy are presented, respectively, by adopting an appropriate Lyapunov-Krasovskii energy function convergence of system error can also be well proved. The existing results obtained giving certain conditions, example,...

10.1155/2014/437673 article EN cc-by Mathematical Problems in Engineering 2014-01-01

For the issues of a long development cycle, poor portability and high-risk in process Zigbee wireless network, this paper introduces Unified Modeling Language (UML) to standardize process, improving efficiency ensuring product quality. According topological structure adopts module method design whole architecture with Rational Rose applies use case diagram, class sequence diagram state function model, model information activities finally completes system model. The results show that makes...

10.1109/icmtma.2010.341 article EN International Conference on Measuring Technology and Mechatronics Automation 2010-03-01

This paper looks into the outer synchronization issue of two networks with nonlinear, time-delay and different topological characteristics. Given general dynamic network models, a set criteria based on Lyapunov stability analysis are proposed theoretical is presented. In addition, to expand generality control criteria, schemes for linear coupling similar topologies derived respectively. Unlike existing solutions obtained from specific studies, scheme can be applicable class complex nonlinear...

10.1109/icinfa.2014.6932712 article EN 2014-07-01

The negative pressure of the thin powder storehouse can reflect working status cement ball mill on real time, which is system with characters serious non-linearity, multivariable and strong coupling etc. For fluctuate badly, this article introduces T-S fuzzy strategy to deal problems. From use in factory it shows, arithmetic bring benefit static effects realize control indirectly.

10.1109/ical.2009.5262617 article EN 2009-08-01

This paper exploits the outer synchronization between two dynamic networks with diversely varying node behaviours at presence of noise. Aiming to obtain a generic technical solution for network synchronization, problem is addressed scenarios non-identical topological structures, nonlinear inner coupling connections and time-delayed characteristics. The impact noise fully considered in theoretical performance analysis which makes derived criteria be able adopted practical engineering...

10.1080/21642583.2018.1531358 article EN cc-by-nc Systems Science & Control Engineering 2018-09-21
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