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Liu S.,Postdoctoral Workstation of Yunnan Power Grid Corporation | Wang J.,Huazhong University of Science and Technology | Wang D.,Yunnan Electric Power Research Institute
World Academy of Science, Engineering and Technology | Year: 2011

A case study of the generation scheduling optimization of the multi-hydroplants on the Yuan River Basin in China is reported in this paper. Concerning the uncertainty of the inflows, the long/mid-term generation scheduling (LMTGS) problem is solved by a stochastic model in which the inflows are considered as stochastic variables. For the short-term generation scheduling (STGS) problem, a constraint violation priority is defined in case not all constraints are satisfied. Provided the stage-wise separable condition and low dimensions, the hydroplant-based operational region schedules (HBORS) problem is solved by dynamic programming (DP). The coordination of LMTGS and STGS is presented as well. The feasibility and the effectiveness of the models and solution methods are verified by the numerical results. Source


Sun X.,Postdoctoral Workstation of Yunnan Power Grid Corporation | Gao M.,Yunnan Electrical Dispatch Center | Liu D.,Hubei Engineering University | Hou X.,Chongqing Electric Power Research Institute | Yuan R.,Yunnan Electrical Dispatch Center
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | Year: 2010

Prony method (PM) is unsuitable for processing the fault signals containing components with uncontinuous or abrupt changes. The adaptive PM (APM), by adaptively segmenting a signal, improves PM's performance, but it takes fixed step to search the subsegments' dividing points, so efficiency is low and execution time is long. This paper proposes a modified APM (MAPM) that introduces variable-step measure and greatly promotes the searching efficiency. Simulation results show that MAPM's signal fitting and parameters estimation are of high accuracy, and the signal interpolation and prolongation based on it are adaptive while the traditional methods are not. A real-life fault signal is analyzed and processed by MAPM, again showing its superior performance and establishing its basis for extensive use in electrical engineering. © 2010 Chin. Soc. for Elec. Eng. Source


Liu S.,Postdoctoral Workstation of Yunnan Power Grid Corporation | Liu S.,Huazhong University of Science and Technology | Li X.,Jilin Huaqiao Foreign Languages Institute
2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010 | Year: 2010

The constrained hydroelectric unit commitment problem is turned into an unconstrained optimization problem by means of penalty function method, and to improve the diversity and search ability, the classical particle swarm optimization (PSO) approach is enhanced by incorporating a genetic crossover operator and a self-adaptive decreasing inertia weight. Then the enhanced PSO is used to solve the hydroelectric unit commitment problem, with the numerical results, the proposed method is verified to be feasible and effective. ©2010 IEEE. Source


Yang F.,Chongqing University | Zhong J.,Chongqing University | Cheng P.,Chongqing University | Peng Q.,Postdoctoral Workstation of Yunnan Power Grid Corporation | And 3 more authors.
IEEE Transactions on Dielectrics and Electrical Insulation | Year: 2015

The MIE (Minimum Ignition Energy) characterizes the danger of a kind of combustible gas and its ignition behavior, and the antistatic test for the non-metallic materials is of great value to mining industry. This paper describes an antistatic level testing system for the non-metallic materials used in mines, and the methods to calculate the MIE of the ignition system, electromagnetic energy and scale the antistatic grade are also presented in details. According to the structure of the antistatic level testing system, the model to calculate the electromagnetic energy of the ignition system is set up firstly, then the MIE and electromagnetic energy before and after ignition are computed respectively. The ignition energy coupling coefficient is defined to indicate the ratio between the energy used for ignition and the total electromagnetic energy, based on which the quantity of triboelectric charge produced by the testing material can be obtained. The numerical relation between the ignition energy coupling coefficient and electrode gap is investigated, for the system described in the paper the threshold of ignition energy coupling coefficient increases from 0.42 to 0.77 when the gap distance increases from 1 mm to 5 mm. The system designed in the paper can be used to test the possibility of ignition and explosion for non-metallic devices used in mine, and the safety limit space for different material can be determined. In addition, it also offers reference for the scaling of triboelectric charge. © 1994-2012 IEEE. Source


Zhang W.-B.,Kunming University of Science and Technology | Zhang W.-B.,Postdoctoral Workstation of Yunnan Power Grid Corporation | Chen J.-L.,Kunming University of Science and Technology | Suo C.-G.,Kunming University of Science and Technology | Gui W.-S.,Kunming University of Science and Technology
Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation, IEMI 2012 | Year: 2013

Least square support vector machine (LS-SVM) is widely used in the regression analysis, but the prediction accuracy greatly depends on the parameters selection. In this paper, Simple Genetic Algorithm is applied to optimize the LS-SVM parameters; correspondingly, the prediction accuracy is improved. Sensors are always sensitive to several parameters, and this phenomenon is called cross-sensitivity which restricts the application of sensors in engineering. In order to reduce cross-sensitivity, the model of multi-sensor system measurement is established in this paper. For solving the nonlinear problems in the model, LS-SVM is used to establish the inverse model. It proves that the method has a high forecasting precision. It is beneficial to the application of sensors. © 2013 Springer-Verlag Berlin Heidelberg. Source

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