Shanghai Electrical apparatus Research Institute

Shanghai, China

Shanghai Electrical apparatus Research Institute

Shanghai, China
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Wang S.,University of Sichuan | Wang S.,Sichuan University | Li Y.,Shanghai Electrical Apparatus Research Institute | Yang H.,University of Sichuan | Yang H.,Sichuan University
Applied Intelligence | Year: 2017

The optimization performance of the Differential Evolution algorithm (DE) is easily affected by its control parameters and mutation modes, and their settings depend on the specific optimization problems. Therefore, a Self-adaptive Differential Evolution algorithm with Improved Mutation Mode (IMMSADE) is proposed by improving the mutation mode of DE and introducing a new control parameters adaptation strategy. In IMMSADE, each individual in the population has its own control parameters, and they would be dynamically adjusted according to the population diversity and individual difference. IMMSADE is compared with the basic DE and the other state-of-the-art DE algorithms by using a set of 22 benchmark functions. The experimental results show that the overall performance of the proposed IMMSADE is better than the basic DE and the other compared DE algorithms. © 2017 Springer Science+Business Media New York


Wang S.,University of Sichuan | Wang S.,Sichuan University | Yang H.,University of Sichuan | Yang H.,Sichuan University | And 4 more authors.
Gongcheng Kexue Yu Jishu/Advanced Engineering Science | Year: 2017

Due to the rapid development of civil aviation transportation business, the contradiction between transportation demand and airspace resource capacity has become increasingly prominent, and the proportion of flight delay has been increasing year by year. As the main means of air traffic flow management, arrival flights scheduling can effectively decrease the flights delay and economic losses, and improve the utilization of the runway. To solve arrival flights scheduling, a mathematical model of multi-runways arrival flights scheduling based on minimizing total delay time was constructed, and a self-adaptive differential evolution algorithm with elite archive (EASaDE) was proposed by adopting elite archive strategy and control parameters adaptation strategy. In EASaDE, the elite archive strategy is used to divide the current population into elite population and non-elite population, and the elite archive strategy is used to divide the current population into elite population and non-elite population, and some individuals involving mutation operation are from the elite population and the remainders are from the non-elite population. The control parameters adaptation strategy utilizes the number of individual evolution stagnation to adaptively adjust the control parameters values, which are applied at the individual level. To evaluate the optimization performance of the proposed EASaDE, a total of 9 Benchmark test functions commonly used and dual-runways arrival flights scheduling were used to carry out comparison experiments.The optimization results of Benchmark test functions showed that the optimization performance of EASaDE is better than the baisc DE algorithm and the other improved DE algorithms. In addition, he optimization results of dual-runways arrival flights scheduling indicated that the total delay time obtained by EASaDE is more smaller and the scheduled arrival sequence is more reasonable when compared with the other optimization algorithms. Therefore, the proposed EASaDE has higher convergence precision, faster convergence speed and better robustness, and thus can effectively decrease the total delay time of arrival flights sequence, improve the throughput of the runways, and relieve the scheduling pressure of the controllers. © 2017, Editorial Department of Advanced Engineering Sciences. All right reserved.


Lin S.,Shanghai University of Electric Power | Tian E.,Shanghai University of Electric Power | Fu Y.,Shanghai University of Electric Power | Tang X.,Shanghai Electrical Apparatus Research Institute | And 2 more authors.
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | Year: 2017

Due to the increasing trend of massive and multidimensional load data, the data dimension reduction and classification processing is required when the residential and commercial loads participate in the demand response programs. A novel method based on the information entropy piecewise aggregate approximation (IEPAA) and spectral clustering was proposed. The IEPAA algorithm was used to represent the typical daily load datasets with variable temporal resolution, and further the clustering processing was performed with the spectral clustering based on dual-scale similarities of distance and curve shape to obtain reasonable load classification results. The proposed method was applied in the analysis of the typical daily load data of the commercial HVACs to verify its effectiveness. The results prove the feasibility and effectiveness of the proposed method in the load data dimension reduction, reasonable load selection and classification, and computation quantity decreasing. © 2017 Chin. Soc. for Elec. Eng.


Lin S.,Shanghai University of Electric Power | Hao C.,Shanghai University of Electric Power | Tang X.,Shanghai Electrical Apparatus Research Institute | Li D.,Shanghai University of Electric Power | Fu Y.,Shanghai University of Electric Power
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | Year: 2016

The load forecasting is the important basis of the energy management systems for the evaluation and diagnosis, optimized control, and scheduling of the energy subsystems in buildings. In order to obtain real-time and high accuracy load information, this paper proposes a short-term load forecasting method based on data mining for buildings. It firstly finds the sample datasets that are similar to the forecasted time points from the historical data, and then performs the K-means cluster analysis on the meteorological data, such as temperature, humidity, barometric pressure, etc., and finally adopts the support vector machine (SVM) for short term forecasting. The practical application results prove that the eMAPE of the proposed method is 1.34%, and the probability of the relative error less than 1% is 67.5%, which are obviously better than that of the ARIMA, SVM and DMSVM without meteorological data. © 2016, Power System Protection and Control Press. All right reserved.


Zhang S.,Shanghai Electrical Apparatus Research Institute | Zhang S.,Shanghai JiaoTong University
Dianli Zidonghua Shebei/Electric Power Automation Equipment | Year: 2014

On the background of East China electricity market, a method of annual contract power decomposition based on CSS(Charge System Search) algorithm is proposed. According to the difference between domestic and foreign power contract types, the research status of contract power decomposition methods is analyzed. The annual operational rules of East China electricity market are introduced and a two-step annual contract power decomposition method composed of monthly power decomposition and unit power decomposition is proposed, which fully considers the factors of forecast uncertainty, unit power generation cost, waste gas emission, etc. An optimal power decomposition model with constraints is designed and solved by CSS algorithm. The basic data of IEEE 30-bus test system are applied as the experiment data and the effectiveness of the proposed method is verified by the experimental results. ©, 2014, Electric Power Automation Equipment Press. All right reserved.


Guo Q.,Tongji University | Peng Y.,Tongji University | Huang S.,Tongji University | Hu J.,Shanghai Electrical Apparatus Research Institute
2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings | Year: 2011

The research status of magnetizing model of TA core is analyzed and summarized. Five kinds of magnetizing models are illustrated briefly. Magnetizing model of solid core based on Jiles-Atherton theory is deeply analyzed. And the simulation of dynamic hysteresis loop is realized. Combined with the related theoretical derivation of air gapped core, the magnetizing model based on Jiles-Atherton theory is successfully used in magnetic modeling of air gapped core. Then the simulation of dynamic hysteresis loop is realized. After analysis of the simulation results, some important features of air gapped core's magnetic properties are found. © 2011 IEEE.


Huang S.,Tongji University | Zhang M.,Tongji University | Guo Q.,Tongji University | Hu J.,Shanghai Electrical Apparatus Research Institute
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings | Year: 2011

Generally, small motors are protected by circuit breakers. When the motor fails, it take a long time to restore power, and diagnostic work is done by experienced workers rather than auto diagnostic software. After a detailed study on Control and Protective Switching device, an approach is proposed to realize such a function that can locate the fault by Petri net and expert knowledge. The diagnosis study cases verified the approach is effective and high-speed. © 2011 IEEE.


Guo Q.-Y.,Tongji University | Huang S.-Z.,Tongji University | Wu W.-Y.,Tongji University | Hu J.-T.,Shanghai Electrical Apparatus Research Institute
Tiedao Xuebao/Journal of the China Railway Society | Year: 2012

Electromagnetic Eddy Current Brake (ECB) is an essential safeguard measure for a maglev train in emergency. The inductive board temperature rise mathematical model and interaction model between temperature and ECB force were established with the analytical method. Specific parameters of the maglev train were substituted into the model and the results were analyzed. The mathematical relation between the ECB force and the train speed, excitation current, air gap, electric and magnetic conductivity was derived by the magnetic law. According to the heat balance equation the inductive board temperature rise model was built. The ECB force and inductive board temperature were correlated through the link of conductivity and magnetic permeability. On the basis, the ECB force was modified against the temperature. Finally, the temperature modified ECB force and the experimental result were compared to verify the validity of the model.


Zhao H.,North China Electrical Power University | Luo Y.,North China Electrical Power University | Liu X.,North China Electrical Power University | Wang R.H.,Stanley Black & Decker | Chen W.,Shanghai Electrical apparatus Research Institute
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | Year: 2010

In order to study iron loss distribution characteristics in stator and rotor core of asynchronous motor, an iron loss computation model, with slot skew considered, was established based on time-stepping finite elements (T-S FEM). Taking Y132S-4, 5.5 kW motor with traditional structure as an example, the time variation of flux density and loci of flux density at different core locations were firstly analyzed, then iron loss distributions in different areas in the core were concluded. It is shown in the paper that high loss density values appear in the areas at middle of the tooth top for both the stator and rotor. Further, loss distributions in different core areas were analyzed based on the computed loss density, it is found that, in stator side, iron losses mainly distributed at the boundary between teeth and yoke, in yoke, as well as in tooth bodies. The iron losses in those three areas are 32%, 28% and 17.5% respectively, of the total calculated iron loss in the machine. Although the iron loss densities in the tooth top of the stator are high, however they only contribute a small percentage at 2.5% to the overall iron loss of the machine. Meanwhile, at rotor side, the iron loss in the tooth top area which is normally neglected in traditional analysis, contributes 15% to the overall iron loss of the machine. The iron loss in the rotor tooth area is clearly due to high harmonics. The achievement in this paper could provide necessary technical support for developing optimized design of core structure to reduce iron losses. © 2010 Chinese Society for Electrical Engineering.


Zhao H.,North China Electrical Power University | Liu X.,North China Electrical Power University | Yang Y.,North China Electrical Power University | Luo Y.,North China Electrical Power University | Chen W.,Shanghai Electrical Apparatus Research Institute
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | Year: 2011

In our country, the peariform slot was usually adopted as the stator slot of medium and small asynchronous motor, and its size of different machine base number has been used for several decades. In order to study the stator slot size for loss reduction, taking a 5.5 kW motor as an example, the loss prediction model was established based on time stepping finite element method (T-S FEM), and the influence of six stator slot size on the losses were analyzed, which were slot opening width, slot opening height, slot tip angle, slot width, slot height, slot radius. It is found that slot opening width, slot width and slot radius have significant effect on total losses. Further, on the premise of basically unchanged slot fill factor and original starting performance, a stator slot optimal design method, which is based on T-S FEM, is presented. With this method, the total loss of 5.5 kW motor under no-load and full-load conditions can be reduced about 7% and 2% respectively. © 2011 Chin. Soc. for Elec. Eng.

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