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You searched for +publisher:"Lehigh University" +contributor:("Liu, wenxin"). Showing records 1 – 2 of 2 total matches.

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Lehigh University

1. Tan, Liang. Adaptive Critic Design based Cooperative Control for Pulsed Power Loads Accommodation in Shipboard Power System.

Degree: MS, Electrical Engineering, 2016, Lehigh University

Since a pulsed power load (PPL) consumes a huge amount of energy within veryshort period of time, its deployment might cause large disturbances even instability to apower system that has limited generation, small inertia, and small ramp rate. To mitigatethe strike during PPL deployment, energy storage system (ESS) is usually installed inshipboard power system (SPS) to serve as the sole power supply for PPL. To realize fastcharging of the ESS and minimize disturbance during charging, generation control andcharging control of SPS should be well coordinated. For this important but not wellstudied problem, this paper presents an adaptive critic design based control algorithm fora nonlinear model integrating the basic dynamics of synchronous generator andsupercapacitor, which is a popular type of ESS for PPL application. Through interactivelearnings of two neural networks for cost-to-go function approximation and optimalcontrol approximation, respectively, near optimal control can be realized even underdisturbance and model impreciseness. The algorithm is tested with both detailed singleandmultiple-generator SPS models and tested through both real-time digital and powerhardware-in-the-loop simulations. Simulation results demonstrate the effectiveness of thedeveloped model and control algorithm. Advisors/Committee Members: Liu, wenxin.

Subjects/Keywords: Electrical and Computer Engineering; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tan, L. (2016). Adaptive Critic Design based Cooperative Control for Pulsed Power Loads Accommodation in Shipboard Power System. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2834

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tan, Liang. “Adaptive Critic Design based Cooperative Control for Pulsed Power Loads Accommodation in Shipboard Power System.” 2016. Thesis, Lehigh University. Accessed August 12, 2020. https://preserve.lehigh.edu/etd/2834.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tan, Liang. “Adaptive Critic Design based Cooperative Control for Pulsed Power Loads Accommodation in Shipboard Power System.” 2016. Web. 12 Aug 2020.

Vancouver:

Tan L. Adaptive Critic Design based Cooperative Control for Pulsed Power Loads Accommodation in Shipboard Power System. [Internet] [Thesis]. Lehigh University; 2016. [cited 2020 Aug 12]. Available from: https://preserve.lehigh.edu/etd/2834.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tan L. Adaptive Critic Design based Cooperative Control for Pulsed Power Loads Accommodation in Shipboard Power System. [Thesis]. Lehigh University; 2016. Available from: https://preserve.lehigh.edu/etd/2834

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Duan, Jiajun. Advanced Controls Of Cyber Physical Energy Systems.

Degree: PhD, Electrical Engineering, 2018, Lehigh University

Cyber system is a fairly important component of the energy systems. The network imperfections can significantly reduce the control performance if not be properly treated together with the physical system during the control designs. In the proposed research, the advanced controls of cyber-physical energy systems are explored in depth. The focus of our research is on two typical energy systems including the large-scale smart grid (e.g. wide-area power system) and the smart microgrid (e.g. shipboard power system and inverter-interfaced AC/DC microgrid). In order to proactively reduce the computation and communication burden of the wide-area power systems (WAPSs), an event/self-triggered control method is developed. Besides, a reinforcement learning method is designed to counteract the unavoidable network imperfections of WAPSs such as communication delay and packet dropout with unknown system dynamics. For smart microgrids, various advanced control techniques, e.g., output constrained control, consensus-based control, neuro network and game theory etc., have been successfully applied to improve their physical performance. The proposed control algorithms have been tested through extensive simulations including the real-time simulation, the power-hardware-in-the-loop simulation and on the hardware testbed. Based on the existing work, further research of microgrids will be conducted to develop the improved control algorithms with cyber uncertainties. Advisors/Committee Members: Liu, Wenxin.

Subjects/Keywords: Electrical and Electronics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Duan, J. (2018). Advanced Controls Of Cyber Physical Energy Systems. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/4228

Chicago Manual of Style (16th Edition):

Duan, Jiajun. “Advanced Controls Of Cyber Physical Energy Systems.” 2018. Doctoral Dissertation, Lehigh University. Accessed August 12, 2020. https://preserve.lehigh.edu/etd/4228.

MLA Handbook (7th Edition):

Duan, Jiajun. “Advanced Controls Of Cyber Physical Energy Systems.” 2018. Web. 12 Aug 2020.

Vancouver:

Duan J. Advanced Controls Of Cyber Physical Energy Systems. [Internet] [Doctoral dissertation]. Lehigh University; 2018. [cited 2020 Aug 12]. Available from: https://preserve.lehigh.edu/etd/4228.

Council of Science Editors:

Duan J. Advanced Controls Of Cyber Physical Energy Systems. [Doctoral Dissertation]. Lehigh University; 2018. Available from: https://preserve.lehigh.edu/etd/4228

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