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In this paper, distributed energy storage systems (DESSs) for power system frequency regulation are investigated. Due to the fact that above 95% of the electricity in Singapore is generated by combined cycle gas turbines (CCGTs), the system frequency model of Singapore based on CCGT is developed. The DESSs are utilized for system frequency regulation hierarchically. At the decentralized control level,...
Grounding fault and injecting AC into DC control system in substation may lead to many protector problems, such as maloperation and miss trip, Based on the traditional unbalanced bridge and blocking condenser principle, the IUB(Improved Unbalanced Bridge) is put forward to detect ground resistance and alternating voltage occurred in substation DC system. The circuit of IUB models in MATLAB/Simulink...
As the penetration of renewable energy increasing in power systems, the contribution of VSC-HVDC for system stability is highly expected. Due to the decoupling modulating of active and reactive power output, the influence of HVDC on the inter-area oscillation is widely studied. This paper proposes a new ANN (Artificial Neural Network) based control design scheme for VSC-HVDC systems to damp inter-area...
Wind power and solar energy are representatives of renewable resources, and their volatility and randomization make power grid regard wind power and solar energy as negative load in daily dispatch. The increase of wind power and solar energy in the system may lead to the increase of uncontrollable factors, so the abilities for power grid to receive wind power and solar energy might be limited. Limiting...
The accuracy of PV array model directly affects the output characteristics of the PV system. In this paper, a simplified engineering model for PV array is established and the influence on the output characteristics of PV array is analyzed when Rs, Rsh and α, β, γ change. According to the actual data of a PV power station, the shuffled frog leaping algorithm (SFLA) is adopted to identify the parameters...
The accuracy of PV array model is very important for grid connected operation and scheduling of large scale PV system. Based on the measured data of a PV power station, the hybrid artificial fish swarm and frog leaping algorithm is adopted to identify the unknown parameters in the mechanism model of PV array. The hybrid algorithm combines the advantages of the fast convergence of artificial fish swarm...
The photovoltaic (PV) array is one of the main components of the PV system, and the accuracy of the PV array model is directly related to the validity of the simulation results. The parameters of the PV array may change with the operation conditions. Therefore, it is important to identify the parameters of the PV array model according to the measured data. In this paper, the conventional four-parameter...
When the fault occurs in the ring DC system, the fault process can be divided into the current discharge stage, the diode freewheeling stage and the steady-state phase under the AC power supply. This paper mainly studies the capacitor discharge stage. Firstly, the multi-terminal DC system is decomposed into n single-ended systems. Secondly, write the state equation of the single-ended system and solve...
The prediction of the human motion plays an important role in the predictive motion controller of human-assisting mobile robot, and precise prediction requires a precise motion model. In this paper, a novel human motion prediction method is proposed. This prediction method is based on a hybrid motion model which combines the inverted pendulum model and constant velocity model. Derivations of the kinematics,...
Mapping sea ice and open water in the oceans is significant for many applications. Accurate and robust classification methods of sea ice and open water are in demand by ice services. Convolutional neural networks (CNNs) are becoming increasingly popular in many research communities due to availability of large image datasets and high-performance computing systems. As Convolutional networks (ConvNets)...
This paper presents a novel deep convolutional feature fusion (ConvFF) approach for high-resolution scene classification, characterizing the well-known deep convolutional neural network (ConvNet) approach. The proposed ConvFF approach starts by generating an initial feature representation of the original scenes under exploration from two deep ConvNets pre-trained on two different large amount of labeled...
We propose a fully convolutional neural network (FCNN) model for ice concentration estimation from dual-polarized SAR images. Our network contains 5 convolutional layers. Tested in the Gulf of Saint Lawrence during freeze-up, the proposed model is demonstrated to generate improved ice concentration estimates compared to a CNNs with similar structure.
The paper investigates representation-based classification for multispectral imagery. Due to the limited spectral dimension, the performance may be limited, and, in general, it is difficult to discriminate different classes using multispectral imagery. Nonlinear band generation method is proposed to use which can provide additional spectral information for multispectral classification. Two classifiers,...
This paper proposes a color attribute compression method for MPEG Point Cloud Compression (PCC) by exploiting the spatial redundancy among the adjacent points. With the increased interest in representing real-world surface as 3D point clouds, compressing the attributes (i.e., colors and normal directions) of point cloud has attracted great attention in MPEG. The proposed method is based on grouping...
In this paper, the take-off trajectory optimization problem for a new vertical takeoff and landing(VTOL) unmanned aerial vehicle(UAV) is studied. The longitudinal kinematics equation and dynamics equation are established with atmospheric density, earth gravity, engine thrust and aerodynamic parameter. Taking the thrust and rudder angles as the control variables, the optimal objective function of the...
Software-Defined Networking (SDN) is a network architecture which has received much attention in recent years. It represents the future of network industry. As the Internet continues to exceed expectations of rapid development, a single centralized controller can be extended to distributed multiple controllers architecture. However, the distributed multiple controllers architecture is facing more...
Truthful spectrum auction is believed to be an effective method for spectrum redistribution. However, privacy concerns have largely hampered the practical applications of truthful spectrum auctions. In this paper, to make the applications of double spectrum auctions practical, we present a secure, efficient and practical double spectrum auction design, SDSA. Specifically, by combining three security...
The mathematical model of grain drying process is an important basis for grain drying equipment design, automatic control of drying operation and optimization of drying process. Continuous drying is one of the most widely used forms of grain drying, In the drying process, there are many factors that affect the water content of the machine, such as food temperature, food humidity, hot air wind speed,...
Mathematical model of grain drying process is the grain drying machine design, the drying operation automatic control and the optimization of the important basis of drying technology. Cross flow drying is one of the forms of grain drying has been widely applied at present, this article is mainly to Page model is applied to the continuous grain in cross flow drying, and briefly introduces the model...
Aiming at the big data generated by the on-line monitoring system of power equipment under the smart grid, a technical scheme for fault diagnosis of power equipment is proposed. The wavelet packet analysis technique, Renyi entropy theory and Teager energy operator are combined to extract and analyze the fault feature vector from a large number of data monitored. Based on the feature vector of the...
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