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Li Q.,Southwest Jiaotong University | Chen W.,Southwest Jiaotong University | Wang Y.,Nanyang Technological University | Liu S.,Chengdu Electric Power Bureau | Jia J.,Nanyang Technological University
IEEE Transactions on Industrial Electronics | Year: 2011

In order to improve the inherent drawbacks of particle swarm optimization (PSO), an effective informed adaptive PSO (EIA-PSO) algorithm that has better equilibrium characteristic between global search and local search is proposed. In this paper, an electrochemical-based proton exchange membrane fuel cell (PEMFC) mechanism model suitable for engineering optimization is developed, and a parameter-identification-technique-based EIA-PSO for this mechanism model is presented. In order to verify the validity of the advanced method, comparisons between experimental data and simulation data are carried out. The results demonstrate that EIA-PSO can make the mechanism model with identified parameters fit the experimental data with higher precision even in the presence of measurement noise. Therefore, EIA-PSO is an optional effective technique for identifying the parameters of the PEMFC mechanism model. © 2010 IEEE.

Li Q.,Southwest Jiaotong University | Chen W.,Southwest Jiaotong University | Li Y.,Southwest Jiaotong University | Liu S.,Chengdu Electric Power Bureau | Huang J.,Southwest Jiaotong University
International Journal of Electrical Power and Energy Systems | Year: 2012

In order to enhance the fuel economy of hybrid vehicle and increase the mileage of continuation of journey, a fuzzy logic control is utilized to design energy management strategies for fuel cell/battery (FC + B) hybrid vehicle and fuel cell/battery/ultra-capacitor (FC + B + UC) hybrid vehicle. The models of hybrid vehicle for FC + B and FC + B + UC structure are developed by electric vehicle simulation software ADVISOR which uses a hybrid backward/forward approach. The results demonstrate that the proposed control strategy can satisfy the power requirement for four standard driving cycles and achieve the power distribution among various power sources. The comprehensive comparisons with the power tracking control strategy which is wide adopted in ADVISOR verify that the proposed control strategy has better rationality and validity in terms of fuel economy and dynamic property in four standard driving cycles. Therefore, the proposed strategy will provide a novel approach for the advanced energy management system of hybrid vehicle. © 2012 Elsevier Ltd. All rights reserved.

Li Q.,Southwest Jiaotong University | Chen W.,Southwest Jiaotong University | Liu Z.,Southwest Jiaotong University | Guo A.,Southwest Jiaotong University | Liu S.,Chengdu Electric Power Bureau
Journal of Power Sources | Year: 2013

In order to achieve the maximum net power, the analysis for the maximum net power characterization of a proton exchange membrane fuel cell (PEMFC) system is carried out. A maximum net power control (MNPC) strategy based on an implicit generalized predictive control (IGPC) and a reference governor is proposed to keep optimal oxygen excess ratio (OER) trajectory. The IGPC based on an effective informed adaptive particle swarm optimization (EIA-PSO) algorithm is developed to solve the predictive control law and reduce the computational complexity in the rolling optimization process. The simulations of three conditional tests are implemented and the results demonstrate that the proposed strategy can track the optimal OER trajectory, reduce the parasitic power and maximize the output net power. The comprehensive comparisons based on three conditional tests verify that the MNPC-IGPC has better robust performance in the presence of large disturbances, time delay and various noises. The experimental comparison with internal control system of Ballard 1.2 kW Nexa Power Module testifies the validity of the MNPC-IGPC for increasing the net power. Hence, this proposed strategy can provide better behavior to guarantee optimal OER trajectory and the maximum net power even though the disturbances and uncertainties occur. © 2013 Elsevier B.V. All rights reserved.

Zhang X.,Yanshan University | Dong X.,Chengdu Electric Power Bureau
Dianwang Jishu/Power System Technology | Year: 2013

There are two objective functions in the proposed multi-objective economic dispatching model for low-carbon power system containing wind farms: generation cost and carbon emission. Considering economy of power system the carbon emission should be reduced; considering the risk brought by wind farms, the risk cost should be added in the generation cost; to achieve the energy-saving and carbon emission reduction, the output of wind farms should be increased while the economy of power system is ensured. The proposed multi-objective economic dispatching model for low-carbon power system containing wind farms is solved by improved multi-objective particle swarm optimization algorithm. Simulation results of IEEE 13-machine system show that the proposed multi-objective economic dispatching model is correct and effective.

Ma J.,North China Electrical Power University | Li J.,Chengdu Electric Power Bureau | Wang Z.,North China Electrical Power University | Yang Q.,North China Electrical Power University
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | Year: 2010

A novel wide-area back-up protection to identify fault location is proposed based on fault correlation factor (FCF). Under the normal condition of the power system, the protection correlation region (PCR) is initially formed on the basis of the network topology and the phase measurement unit (PMU) placement. By using switching information of the circuit breaker and heuristic search algorithm, the original PCR is then updated rapidly. After the fault occurs, by analyzing the fault steady state component of differential current within each PCR, the fault correlation region is confirmed and then the FCF is calculated in real time to locate the fault. The simulation results of 10-generator 39-bus system verify that this method is immune to the system operation condition and is able to rapidly, sensitively, and reliably identify fault location with limited measurement points and less computation. © 2010 Chinese Society for Electrical Engineering.

Hao W.-B.,Chengdu Electric Power Bureau | Hong X.-L.,Chengdu Electric Power Bureau
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | Year: 2011

From the angle of smart grid development, Some current questions about the local net setting system of protective relaying are analyzed, for example net topology, parameters maintenance, setting system and device management. The general designing structure of local net setting system of protective relaying setting based on smart grid is presented. The net setting system is made up of setting compute, setting management and relay protective reconstruction. At the same time, key technology is discussed including net topology, supply power scheme, automatic open-loop, dividing line joint, automatic setting, power supply combination and relay reconstruction. The design ideas of setting system should meet the management and technology demand of local net protective relaying setting system for smart grid effectively.

Zhou S.,Chengdu Electric Power Bureau
Advanced Materials Research | Year: 2012

Research and development of embedded systems is the hot information technology and the graphical user interface (GUI) is the most important part of human-computer interaction interface. These embedded GUI system has been widely used because of its strong and powerful functionality. But many times, it is necessary to sacrifice performance for its versatility. In this paper, the embedded GUI systems based on the message mechanism is study considering the short of current embedded GUI systems. The novel method of a message-driven application framework is suggested to solve the problem of the current message mechanisms for the implementation. Meanwhile, a circular queue algorithm is given in order to achieve messaging unit. Then, the message has been classified considering of efficiency. In the end, the design example of personal assistant is given. © (2012) Trans Tech Publications.

Liu X.,North China Electrical Power University | Mi Z.,North China Electrical Power University | Yang Q.,North China Electrical Power University | Fan X.,Chengdu Electric Power Bureau
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | Year: 2010

Aiming at the nonlinearity and nonstationarity of wind speed sequences, a novel multi-step prediction for wind speed is presented. The prediction is primarily based on empirical mode decomposition (EMD). By means of the EMD technique, the original wind speed sequences are firstly decomposed into a series of functions with more stationary variation. Thus the interferences among the characteristic information embedded in the wind speed can be weakened. Then these functions are reconstructed into three components (high-middle-low frequency components) according to their run-lengths. As a result, not only the characteristics become more centralized, but the predicted components can be greatly reduced. After that, three multi-step prediction models are built on the basis of their respective variation rules. Finally, the prediction values corresponded to the three components are adaptively superposed to obtain the predicted wind speed. A real example is given in this paper. The obtained results show that the proposed approach possesses higher accuracy and the prediction performance is satisfied when the wind speed sharply fluctuates.

Zheng Y.,Sichuan Electric Power Research Institute | Zhu L.,Chengdu Electric Power Bureau | Zou X.,Chengdu Electric Power Bureau
Energy Procedia | Year: 2011

Gaussian wavelet support vector machine (SVM) is constructed for short-term load forecasting (STLF). It is proved that the p th-derivative Gaussian wavelet is an admissible translation-invariant kernel function of SVM when p is an even number. The Gaussian wavelet SVM is constructed with wavelet kernel function, and improved stochastic focusing search (SFS) algorithm is used to optimize the parameters of SVM and its kernel function. The experiments of STLF are conducted using the proposed SVM, the conventional Gaussian SVM and Morlet wavelet SVM respectively. The comparison shows that the proposed method is efficient and superior, and has some application value in STLF. © 2011 Published by Elsevier Ltd.

Chang X.,North China Electrical Power University | Zhang L.,Chengdu Electric Power Bureau
Dianwang Jishu/Power System Technology | Year: 2012

On the basis of branch power transmission model, the power injected from nodes into power system is divided into two parts: one is regarded as the loss that occurs when the power is transferred from the node to the system and is expressed in network loss, and the other is regarded as the power supplied from the node to the network. Leading network loss variable into nodal power equations, the extended power equations are obtained; then the inversion of the extended Jacobian matrix is performed to obtain nodal incremental network loss. Calculation results of the proposed algorithm are not affected by the location of slack node, and the incremental network loss of active and reactive power injected from nodes, including the slack node, into power system can be solved. The effectiveness of the proposed algorithm is verified by calculation examples.

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