Jiangsu Key Laboratory of Smart Grid Technology and Equipment

Zhenjiang, China

Jiangsu Key Laboratory of Smart Grid Technology and Equipment

Zhenjiang, China
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Fan Y.,Nanjing Southeast University | Fan Y.,Jiangsu Key Laboratory of Smart Grid Technology and Equipment | Zhang L.,Nanjing Southeast University | Huang J.,Wuhu Power Supply Company | Han X.,Jiangsu Electrical Power Design Institute
IEEE Transactions on Industrial Electronics | Year: 2014

This paper is to propose a new self-decelerating permanent-magnet (PM) in-wheel motor for low-speed and high-torque drive of electric vehicles (EVs). This motor uses sensorless control and integrates advantages of magnetic gear and those of PM machine together while gear inner rotor is removed. The key is the magnetic gear, which can reduce the size of the motor and achieve the similar torque amplification provided by a mechanical gearbox and does not require maintenance or cause breakdown issues. The topology and the operating principle of the proposed in-wheel motor are analyzed; the effects of flux modulated by the magnetic gear and the static characteristics are investigated by using the finite-element analysis. To solve the problems of mechanical sensors, an improved sliding model observer for sensorless control is studied. Then, the evaluation of the system performances is conducted by the simulation based on the MATLAB/Simulink and the experiment based on a prototype. Both the simulation and the experimental results show that the system can provide low-speed high-torque driving for EVs without mechanical gears and sensors. © 1982-2012 IEEE.


Tan L.,Jiangsu Key Laboratory of Smart Grid Technology and Equipment | Tan L.,Nanjing Southeast University | Huang X.,Jiangsu Key Laboratory of Smart Grid Technology and Equipment | Huang X.,Nanjing Southeast University | And 2 more authors.
Advanced Materials Research | Year: 2011

In this paper, a magnetic resonance coupled wireless transfer system is studied to establish the efficiency analysis model. By analyzing the influencing factors of system efficiency indicates that the system transfer power is mainly determined to the resonance frequency, and only near the resonance frequency has achieved a maximum value. With experimentally studying the load received power varied with frequency at the transfer distance from 80cm to 120cm, we believe that the magnetic resonance coupled wireless transfer system's optimization can be realized by controlling the frequency. © (2011) Trans Tech Publications.


Gu W.,Nanjing Southeast University | Gu W.,Jiangsu Key Laboratory of Smart Grid Technology and Equipment | Wu Z.,Nanjing Southeast University | Wu Z.,Jiangsu Key Laboratory of Smart Grid Technology and Equipment | Wang R.,Jiangsu Taizhou Power Supply Company
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2012

With an eye on the broad vistas of extensive application of the combined heat and power (CHP) system for its environment friendliness and energy-saving, an investigation has been made on the operation optimization of a CHP system composed of PV batteries, storage batteries, heat storage tank, microturbine (MT), heat recovery boiler, and thermo-electric loads. The characteristics of MT's electric power generation efficiency, exhaust heat recovery efficiency and pollutant gas emission are comprehensively considered. The kinetic battery model (KiBaM) is used to consider the minimum state of charge (SOC). Finally a multi-objective chance constrained programming (CCP) model is developed with PV and stochastic thermo-electric load, operation cost, CO emission and minimum NO x emission all taken into consideration. The stochastic simulation and Pareto set are used to solve the CCP problem. A revised multi-objective particle swarm optimization (MOPSO) based on local and global memory is proposed to solve the model. Simulation results show that, with this method, suggestions can be made to optimize microgrid configuration, realize micro-sources dynamic dispatching and effectively reduce the operation cost and pollution gas emission.


Gao B.,Nanjing Southeast University | Gao B.,Jiangsu Key Laboratory of Smart Grid Technology and Equipment | Bao Y.,Nanjing Southeast University | Xie J.,Nanjing Southeast University | Jia L.,Nanjing Southeast University
Transactions of the Institute of Measurement and Control | Year: 2014

An underactuated two-dimensional translational oscillator with rotational actuator (2DTORA) consisting of an actuated rotational proof-mass and two unactuated translational carts is presented. Passivity-based control design is employed for 2DTORA based on its Euler-Lagrange structure and passivity property. Firstly, the dynamics of 2DTORA are derived based on Euler-Lagrange equations. Motivated by constructing a damped close-loop Euler-Lagrange system, the controller dynamics is designed to shape the potential energy and inject the required damping. As a result, the designed controller stabilizes the underactuated 2DTORA with the feedback of the rotational actuator's position only. Moreover, by modifying controller dynamics with a saturation function, the control input can be constrained to certain bounds. Finally, simulation results demonstrate the feasibility and effectiveness of the proposed controllers. © 2013 The Author(s).


Gao B.,Nanjing Southeast University | Gao B.,Jiangsu Key Laboratory of Smart Grid Technology and Equipment | Zhao J.,Michigan State University
International Journal of Advanced Robotic Systems | Year: 2014

The 2-Dimensional Translational Oscillators with Rotating Actuator (2DTORA) is a novel underactuated system which has one actuated rotor and two unactuated translational carts. This paper focuses on dynamical modelling and simulation analysis of the underactuated 2DTORA on a slope. Based on Lagrange equations, the dynamics of the 2DTORA is achieved by selecting a transverse position of a cart, a travelling position of a cart, and the rotor angle as the general coordinates and torque acting on the rotor as the general force. When the slope angle is set to zero, the dynamics of 2DTORA on a slope is reduced to that of 2DTORA on the horizontal plane. Moreover, by eliminating one degree of translational cart motion, the dynamics of 2DTORA is reduced to that of TORA which is a benchmark of underactuated systems. In addition, the equilibrium and controllability of the 2DTORA system on a slop are discussed. Finally, numerical simulations are performed to verify the feasibility of the developed dynamic models. © 2014 The Author(s).


Gao B.,Nanjing Southeast University | Gao B.,Jiangsu Key Laboratory of Smart Grid Technology and Equipment | Ye F.,Nanjing Southeast University
Journal of Intelligent and Fuzzy Systems | Year: 2015

The underactuated 2-dimensional translational oscillator with rotational actuator (2DTORA) system consisting of an rotational proof-mass and two unactuated translational carts is an extension version TORA which is a well-known benchmark for nonlinear control design. In this paper, dynamics of 2DTORA system is modeled and written in general affine form. And we apply fuzzy Lyapunov synthesis to design a state feedback controller to stabilize the system with partial information about dynamics by using only a linguistic description. The designed state feedback controller is nonlinear which can be simplified as the classic linear state feedback controller. The globally stability of the closed-loop system is proofed according to the second Lyapunov theorem and LaSalle's stability theorem. Simulation results demonstrate the effectiveness of the designed controller and advantages in comparison with a previously designed linear controller for the 2DTORA system. © 2015-IOS Press and the authors.


Gu W.,Nanjing Southeast University | Gu W.,Jiangsu Key Laboratory of Smart Grid Technology and Equipment | Liu W.,Nanjing Southeast University | Liu W.,Jiangsu Key Laboratory of Smart Grid Technology and Equipment | And 2 more authors.
International Journal of Electrical Power and Energy Systems | Year: 2013

This letter addresses a multi-stage underfrequency load shedding (UFLS) approach to restore the frequency for islanded microgrid. Depending on the magnitude estimation of power deficiency, the multi-stage UFLS approach for islanded microgrid is put forward. The proposed approach takes the load stages into consideration, which can achieve frequency restoration mainly by adjustable loads shedding and ensure uninterruptible power supply of the most important loads. Based on the established microgrid, the method to obtain the equivalent inertia constant of islanded microgrid is simulated and demonstrated. And time domain simulation results show that the proposed UFLS approach can restore the frequency stability of islanded microgrid effectively considering the multiple stages of loads. © 2012 Elsevier Ltd. All rights reserved.


Liu W.,Nanjing Southeast University | Liu W.,Jiangsu Key Laboratory of Smart Grid Technology and Equipment | Gu W.,Nanjing Southeast University | Gu W.,Jiangsu Key Laboratory of Smart Grid Technology and Equipment | And 4 more authors.
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | Year: 2012

Due to the development of wind power, the frequency control capacity of wind farm is required, so the additional frequency control and the coordination with stored energy win particular attention recently. A new fuzzy neural network combination control is proposed to doubly fed induction generator (DFIG)-superconducting magnetic energy storage (SMES) complementary system. It takes advantage of the learning ability of neural network to form an adaptable fuzzy neural controller to control the rotor kinetic energy and reserve power of DFIG; and it also optimizes the active power of SMES to give frequency control support during sizeable frequency deviation. The performance of the control strategy is simulated based on 4 machine 2 area system, the results indicate that the proposed fuzzy neural control strategy has good robustness, and the complementary system can effectively improve the frequency control stability of system.


Gao B.,Nanjing Southeast University | Gao B.,Jiangsu Key Laboratory of Smart Grid Technology and Equipment | Xu J.,Tsinghua University | Zhao J.,Michigan State University | Huang X.,Nanjing Southeast University
Asian Journal of Control | Year: 2013

One dimensional translational oscillation with a rotational actuator (TORA) system has been used as a benchmark for motivating the study of nonlinear control techniques. In this paper, a novel underactuated 2-dimensional TORA (2DTORA), which has one actuated rotor and two unactuated translational carts, is presented. The analysis of controllability around the system's equilibriums yielded the controllable equilibriums and the constraint on physical parameters. To stabilize the system to its controllable equilibriums from any initial conditions, we propose a simple linear controller containing the rotor angle and angular velocity. The controller was derived from a proper Lyapunov function, including the system's total energy, that was used to show the passivity property of the system. In addition, a high pass filter was adopted to approximately differentiate the rotor angle so that an estimated angular velocity was used in the controller rather than measuring the actual rotor angular velocity. As a result, only the angle measurement is required for the designed feedback controller to stabilize the underactuated system. Finally, simulation results verify our control design and analysis. © 2012 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society.


Gao B.,Nanjing Southeast University | Gao B.,Jiangsu Key Laboratory of Smart Grid Technology and Equipment | Ma T.,Nanjing Southeast University | Tang Y.,Nanjing Southeast University
Energies | Year: 2015

In a deregulated environment of the power market, in order to lower their energy price and guarantee the stability of the power network, appropriate transmission lines have to be considered for electricity generators to sell their energy to the end users. This paper proposes a game-theoretic power transmission scheduling for multiple generators to lower their wheeling cost. Based on the embedded cost method, a wheeling cost model consisting of congestion cost, cost of losses and cost of transmission capacity is presented. By assuming each generator behaves in a selfish and rational way, the competition among the multiple generators is formulated as a non-cooperative game, where the players are the generators and the strategies are their daily schedules of power transmission. We will prove that there exists at least one pure-strategy Nash equilibrium of the formulated power transmission game. Moreover, a distributed algorithm will be provided to realize the optimization in terms of minimizing the wheeling cost. Finally, simulations were performed and discussed to verify the feasibility and effectiveness of the proposed non-cooperative game approach for the generators in a deregulated environment. © 2015 by the author; licensee MDPI, Basel, Switzerland.

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