Shanghai University of Electric Power
Shanghai, China

Shanghai University of Electric Power is a public university in Shanghai, People's Republic of China. Wikipedia.

Time filter
Source Type

Li Q.,Shanghai University of Electric Power | Yao G.,Nanjing University of Technology
Energy | Year: 2017

Combustion optimization by fine tuning combustion parameters of boilers can cut down NOx emissions effectively with little cost. Coal qualities, which change from time to time, have great influences on NOx emissions. However, the current NOx reduction optimization model cannot handle with this problem well. What is more, the output load would deviate from the demand load as the boiler efficiency is also affected by the optimized manipulated variables (MVs). In this paper, an on-line method to calculate coal qualities based on reverse balance thermal efficiency model was integrated into the optimization model. Furthermore, a new constraint was added to the optimization model to meet the demand load. NOx emission characteristics of some 600 MW capacity utility boiler were investigated. Fine selected MVs were taken as the inputs of support vector machines (SVM) and NOx emission was taken as the output, respectively. Parameters of SVM were fine tuned by particle swarm optimization algorithm (PSO). Combustion optimization for the studied boiler was undertaken based on the proposed optimization model. Results showed that the new model can provide lower NOx emissions and meet demand loads at the same time. © 2017 Elsevier Ltd

Liu Z.,Shanghai JiaoTong University | Zhu Q.,Shanghai University of Electric Power
Energy Conversion and Management | Year: 2011

An experimental study was carried out to investigate the effects of aqueous CuO nanofluids on thermal performance of a horizontal mesh heat pipe working at steady sub-atmospheric pressures. The nanofluid was composed of deionized water and CuO nanoparticles with an average diameter of 50 nm. The experimental results show that adding CuO nanoparticles into deionized water can significantly enhance heat transfer coefficients of both evaporator and condenser, and the maximum heat flux of the heat pipe. There is an optimal mass concentration of nanoparticles corresponding to the maximum heat transfer enhancement. The operating pressure has an apparent impact on both the evaporating and condensing heat transfer enhancements. The heat transfer enhancement effects increase distinctly with the decrease of the pressure. The present investigation discovers that the thermal performance of a mesh heat pipe can be evidently strengthened by substituting CuO nanofluids for deionized water under sub-atmospheric pressures. © 2010 Elsevier Ltd. All rights reserved.

Ma W.-X.,Shanghai University of Electric Power | Ma W.-X.,University of South Florida
Physics Letters, Section A: General, Atomic and Solid State Physics | Year: 2015

Abstract Through symbolic computation with Maple, a class of lump solutions, rationally localized in all directions in the space, to the (2 + 1)-dimensional Kadomtsev-Petviashvili (KP) equation is presented, making use of its Hirota bilinear form. The resulting lump solutions contain six free parameters, two of which are due to the translation invariance of the KP equation and the other four of which satisfy a non-zero determinant condition guaranteeing analyticity and rational localization of the solutions. Three contour plots with different determinant values are sequentially made to show that the corresponding lump solution tends to zero when the determinant approaches zero. Two particular lump solutions with specific values of the involved parameters are plotted, as illustrative examples. © 2015 Elsevier B.V.

Cai J.,Shanghai University of Electric Power
Nonlinear Analysis: Real World Applications | Year: 2014

We study a free boundary problem for the Fisher-KPP equation modeling the spreading of a biological or chemical species. In this model, the free boundaries represent the spreading fronts of the species. We discuss the asymptotic behavior of bounded solutions and obtain a trichotomous result: spreading (the free boundaries amounts to the whole space and the solution converges to 1), transition (the free boundaries stay in a bounded interval and the solution converges to a stationary solution with positive compact support) and vanishing (the free boundaries converge to the same point and the solution tends to 0 within a finite time). © 2013 Elsevier Ltd. All rights reserved.

Tang Z.,Shanghai University of Electric Power
International Journal of Electrical Power and Energy Systems | Year: 2012

Ice accretion of overhead conductors is a serious problem for power utilities. Among various de-icing approaches, short circuit based de-icing is one of the most frequently used ones. Since the short circuit based de-icing requires cumbersome and tricky operations, and some lines are taken out of service, pre-planned short circuit schemes are usually adopted in order to prevent mis-operation. Whereas, since some transmission lines might be tripped and system topology varies notably during ice storm, fast forming of short circuit de-icing scheme is not a simple task. Based on thorough investigation of pre-established de-icing schemes in Changsha power grid, rules to set up de-icing schemes are concluded. An expert system combining the power of graph theory has been developed in the paper to enumerate all the feasible de-icing routes. Thereafter, short circuit current and de-icing time of each route are calculated to single out candidate routes, and thus, dispatchers can form de-icing scheme at easy. © 2012 Elsevier Ltd. All rights reserved.

Li Y.,Shanghai University of Electric Power
International Journal of Digital Content Technology and its Applications | Year: 2012

By research of traditional traffic prediction model it is found that the defects will decrease the performance of network and the methods are unsuitable for modeling of self-similar network traffic. So we put forward a novel model for predicting based on the wavelet transform and BP neural network. First we use wavelet transform on the traffic time series to acquire the detailed signals and approximate signals at different scales. Then the autocorrelated degree of approximate signals is calculated by correlation analysis to determine the input and output of the neural network, which is used to construct BP neural network and training. ARMIA algorithm is used for prediction of the detailed signals. At last we take wavelet reconstruction to acquire the final result of prediction. The experiment has verified that this model has better prediction effect, scientificity and accuracy, compared with the single models.

Zhao Y.,Shanghai University of Electric Power
Journal of Computational Information Systems | Year: 2012

In this paper, a new image hashing method based on texture and shape feature is proposed. At first the input image is pre-processed and divided into non-overlapped blocks. These blocks are mapped to a circle by equal interval sampling and Zernike moments of these blocks after mapping are calculated. Then the amplitudes of Zernike moments and the texture features of each block are connected to form the intermediate hash. Lastly, the final hash sequence is obtained by pseudo-randomly permuting the intermediate hash sequence. Similarity between hashes is measured by a new distance. Experimental results show that this method is robust against most content-preserving attacks. The threshold can be got by robustness and uniqueness tests. The distance of hashes between two different images or original and tampering images is bigger than the threshold. So this method can be used in image authentication and tampering detection. © 2012 Binary Information Press.

Chu F.,Shanghai University of Electric Power
Optical Engineering | Year: 2012

Here, the concentration of TNT was detected by using evanescent absorption method, U-shaped plastic optical fiber was used as sensor head and light transmit element. A high brightness blue light-emitting diode with spectrum centered at 470 nm was used as excitation source. The relationship between the transmitted light power of U-shaped sensor head and TNT concentration was linearly and the linear coefficient was 0.944. The system showed excellent reversibility when the sensor tested by alternately cycling between 0 and 25 mg/100 ml TNT solution in five cycles. The stability of the sensor head in 25 mg/100 ml TNT solution was also tested within two hours. The proposed sensor is a cost-effective alternative to traditional TNT sensors and provides a platform for other optically based sensors. © 2012 Society of Photo-Optical Instrumentation Engineers (SPIE).

Li J.,Shanghai University of Electric Power
Advanced Materials Research | Year: 2014

With the deepening of smart grid construction, it is necessary to fully study the intelligent response behavior of residential users, enhance the power grid comprehensive service capabilities and meet the requirements of interactive marketing. According to the model analysis of residential customers' comprehensive response behavior, we can get the steady-state situation of residents' overall responsiveness, which is able to judge the residents' responsiveness level. The homogeneity trend of residential electricity's responsiveness is very strong, as a consequence, we should establish adequate incentives to tap the potential responsiveness of the residential users. © (2014) Trans Tech Publicutions, Switzerland.

Huang H.,Shanghai University of Electric Power
Dianwang Jishu/Power System Technology | Year: 2012

Based on the heterogeneity of consumer demand, a segment market for tiered electrical energy consumption was constructed, and applying elastic model of demand price, in which the tiered electrical consumption is taken into account, a hierarchical model to calculate the level of residential time-of-use block electricity rate is constructed. In the first hierarchy of the proposed model, based on Ramsey pricing principle the method to draft the average price level of each block is established; in the second hierarchy, taking the average price level of each block as constraints and the peak-load shifting as the objective, based on price elasticity matrix of elasticity demand a joint optimization model of residential time-of-use block electricity rate is built, which synthetically coordinates multi objectives such as fairness, efficiency and peak load shifting. The reasonableness and effectiveness of the proposed model are verified by case study on a developed province located in East China.

Loading Shanghai University of Electric Power collaborators
Loading Shanghai University of Electric Power collaborators