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In this paper, a new method for reference network considering network topology optimization is proposed. The actual operation mode optimization and the correction control with transmission switching under the contingency situation are taken into account in the proposed method. Based on the forecasted load values of each period in predictive multi-time scale and candidate transmission line schemes...
With the diversified development of electrical loads, and the large-scale integration of volatile renewable generations, power system operation, control and planning face the challenge of increasing injection uncertainties. In this paper, a new method for reference network considering nodal injection uncertainties is proposed. The actual operation mode optimization and reserve configuration of power...
This paper built a local tourism supply chain by taking the accommodation services as an example based on the present situation of the online travel industry, and described the co-opetition relationship between online travel agency and hotels in detail. In order to explore the coordination mechanism considering longitudinal and horizontal co-opetition relationship between online travel agency and...
With the rapid development and application of distributed generation, more and more attention has been paid to the operation and control technology of the wind storage isolated network system. As a kind of new energy application, the operation of wind storage isolated network system has a great technical advantage in the process of operation. Aiming at the problem of self starting and stable operation...
Past research on facial expressions have used relatively limited datasets, which makes it unclear whether current methods can be employed in real world. In this paper, we present a novel database, RAF-DB, which contains about 30000 facial images from thousands of individuals. Each image has been individually labeled about 40 times, then EM algorithm was used to filter out unreliable labels. Crowdsourcing...
Meta-search engine is a comprehensive search tool, which is build base on those member search engines. All result entities reported by member search engines are merged into one ranked list according to their quality. It is well knowing that the core problem in meta-search engine is how to merge the results and provide user with a more effective rank list. This paper dealt with a synthesized merging...
The boost switching power converter is a kind of voltage switching device which is widely used in all kinds of power equipment. Compared with the traditional winding transformer, high conversion efficiency and easy to large-scale integration are the advantages of high frequency boost converter. However, the high frequency boost converters are likely to generate the intermittent phenomena because of...
Recent years, facial expression recognition has remained a challenging and interesting problem, especially for faces in the real world. Most of the traditional approaches are based on Action Units (AUs) detection or low-level features (e.g. LBP, HOG, SIFT and Gabor). Thus, when recognizing real-world facial expressions, these methods might result in poor performance. In this paper, we propose an automatic...
UV-FAIMS has evolved as a powerful technique for separation and identification of volatile organic compounds (VOCs) under ambient pressure. It is an important method to scan compensation voltages (CV) at different dispersion voltages (DV) to realize two-dimensional high resolution of FAIMS. Repeat full-spectrum CV scanning consumes a lot of time. In this paper, an intelligent scanning method is proposed...
Urban saturation load is the key index to determine the final scale of power grid development in urban power network planning. The research on urban power load forecasting has important guiding significance and practical value for the construction and planning of urban power network in the future. In this paper, a new method based on the saturated load density was proposed for the prediction of urban...
Traditional speech-related identity recognition commonly pays attention to individual aspect of speech signals but in reality, the speech signals are made up of semantics, speaker dependent features, etc. This paper therefore presents a new study that recognizes simultaneously multidimensional speaker information. In order to extract sufficient relational features, both high-level and low-level features...
Reference network model determines the optimal transmission line capacities by minimizing the generation cost and investment cost of transmission lines, in which line flow constraints under contingency events should be respected. However, the number of these constraints is tremendous and this makes the impediment when reference network model is applied for real large power systems. In this paper a...
Northwest China is rich in energy resources including the renewable energy, therefore the power supply in some areas of the northwest power grid is in high density, which leads to the fact that the short-circuit current is too large and the series reactor might be used to suppress short circuit current. However, the series reactor application is also likely to leads to the slower decayed DC component...
In order to reconstruct the all-in-focus image from a conventional camera, a spatially-varying defocus deblurring approach based on blur map and TV/L2 regularization was proposed. Firstly, lenticular defocus model was studied and analyzed, and the principle, characteristic and applicability of disk defocus model and Gaussian defocus model were generalized; Secondly, we modified the local contrast...
In the calculation of AC / DC power flow, how to consider the control mode of HVDC transmission system effectively is a problem that must be considered in power system planning and operation. In this paper, based on the principle of equivalent power and AC / DC system alternating decoupling solving, a power flow calculation program is presented. The main control modes of HVDC transmission system and...
In the paper, a new kind of adaptive neural network control approach for a class of stochastic nonlinear system which in the form of non-strict-feedback is presented. Some difficulties, which occurred in the course of designing due to the non-strict-feedback structure, is overcomed by using the variable separation approach. A new kind of adaptive neural network tracking method is presented by combining...
The grinding process is influenced by many factors which make it prone to fluctuations in the quality and hard to guarantee the effectiveness and reliability. Therefore, as for this problem, an adaptive adjustment model of the parameters in grinding process is established. First single factor experiments were conducted to get the influence of the processing parameters on the quality qualitatively...
People's attitude towards specific events is usually contained in their Internet speech. When monitoring public opinions on the Internet, the sentiments of social media users should be analyzed in real time. For example, the expression of target user should be analyzed to get his/her emotional changing trend. However, present literatures on text sentiment analysis are limited to specific domains and...
In response to the open-door economic policy of China, companies in Taiwan have gradually relocated their production lines to China in order to decrease production costs and meet major market needs. Moreover, previous studies have examined whether businesses can continually earn excess profits by researching and developing new technology or products using their strong human resources. Therefore, the...
The problem of output regulation by means of partial state and parameters information for the DC-DC converter is addressed. It is shown that the combination of a output feedback controller with the H∞ performance yields a globally asymptotically stable closed-loop system. Finally, the simulation results show the effectiveness of the proposed method.
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