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A DC Voltage Control Strategy for Active Power Filter 有源电力滤波器直流电压控制策略
The Open Electrical & Electronic Engineering Journal Pub Date : 2016-12-30 DOI: 10.2174/1874129001610010166
Xudong Cao, Shaozhe Zhou, Jingze Li, Shaohua Zhang
{"title":"A DC Voltage Control Strategy for Active Power Filter","authors":"Xudong Cao, Shaozhe Zhou, Jingze Li, Shaohua Zhang","doi":"10.2174/1874129001610010166","DOIUrl":"https://doi.org/10.2174/1874129001610010166","url":null,"abstract":"Abstract: Active Power Filter (APF) is capable of changing the size and frequency of harmonics as well as changes in reactive power compensation. It is important to control the stability of the DC-link capacitor voltage stability for it. For DC voltage controls of APF, there are two important achievements. First, it is indicated that the control of DC voltage directly affects the compensation performance of APF. Second, the value of DC voltage influences the power loss of APF. This paper firstly introduces the design of the DC voltage controller. Then the relationship between DC voltage and the power loss as well as the compensation performance of APF is analyzed. Finally, a new control scheme with a droop controller is developed to regulate DC voltage.","PeriodicalId":370221,"journal":{"name":"The Open Electrical & Electronic Engineering Journal","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117237219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Simulation Studies on Semiconductor Photonic Crystal Using Photonic Bandgap Analysis: A Realization of Optical Mirror 基于光子带隙分析的半导体光子晶体仿真研究:一种光学反射镜的实现
The Open Electrical & Electronic Engineering Journal Pub Date : 2016-11-30 DOI: 10.2174/1874129001610010150
C. Nayak, P. Sarkar, G. Palai
{"title":"Simulation Studies on Semiconductor Photonic Crystal Using Photonic Bandgap Analysis: A Realization of Optical Mirror","authors":"C. Nayak, P. Sarkar, G. Palai","doi":"10.2174/1874129001610010150","DOIUrl":"https://doi.org/10.2174/1874129001610010150","url":null,"abstract":"Abstract: In this research, we attempt to envisage the mirror application using semiconductor photonic crystal with the help of photonic bandgap analysis. The photonic bandgap of photonic crystal structure is simulated using plane wave expansion method, where photonic crystal is realized by 2D triangular photonic crystal structure with gallium arsenide as background material having periodic air holes. Simulation result revealed that both lattice spacing of crystal structure and radius of air holes play vital role in realizing optical mirror. It is observed that photonic band gap of the above structure is found, if radius of air hole varies from 16 nm to 50 nm for lattice constant of 100 nm . It is also seen that photonic band gap is found if lattice spacing varies from 200 nm to 650 nm for radius of air hole of 100 nm.","PeriodicalId":370221,"journal":{"name":"The Open Electrical & Electronic Engineering Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128213912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retraction Notice: A Multi-Wireless Bandwidth Aggregation Mechanism in SDN Networks 撤回通知:SDN网络中的多无线带宽聚合机制
The Open Electrical & Electronic Engineering Journal Pub Date : 2016-11-23 DOI: 10.2174/1874129001610010149
Min Chen, Ang Li, Wenhua Liu, Jun Hong
{"title":"Retraction Notice: A Multi-Wireless Bandwidth Aggregation Mechanism in SDN Networks","authors":"Min Chen, Ang Li, Wenhua Liu, Jun Hong","doi":"10.2174/1874129001610010149","DOIUrl":"https://doi.org/10.2174/1874129001610010149","url":null,"abstract":"Nowadays, the popularity of smart mobile devices drives the mobile data traffic into a faster growth. For han- dling the extreme growth of mobile data traffic, the mobile telecommunication operator tries to upgrade the core network equipment to expand the data capacity of services, but compare with the exponentially growing mobile data traffic, the ef- fect is limited. In addition, most of the current multi-RAT integration researches need protocols supported by both the cli- ents and servers, or have the transmission efficiency bottleneck problem caused by the packet reordering. Therefore, this paper proposes the SDN-based multi-RAT bandwidth aggregation mechanism for handling the transmission path selection and switching among LTE, Wi-Fi, and other multi-RAT. The proposed multi-RAT online access software, aggregation control application, and data flow analysis application are installed in the UE terminal and SDN network terminal respec- tively for handling the multi-RAT bandwidth aggregation. The UE only needs to install the multi-RAT online access software through the proposed mechanism, while the application services executed in the UE terminal do not need to be modified under the proposed approach. When a single network could not satisfy the QoS requirements of UE (e.g., the UE executes several application services which require different QoS classes simultaneously), the proposed SDN-based multi- RAT bandwidth aggregation mechanism can transmit the routing device, satisfy the network QoS requirements of the UE terminal and improve the utilized efficiency of whole network according to the current network transmission efficiency and the characteristics of the service flows transmitted by the UE.","PeriodicalId":370221,"journal":{"name":"The Open Electrical & Electronic Engineering Journal","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134356147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A Novel Positioning Algorithm Based on Self-adaptive Algorithm of RBF Network 一种基于RBF网络自适应算法的定位算法
The Open Electrical & Electronic Engineering Journal Pub Date : 2016-11-21 DOI: 10.2174/1874129001610010141
Jin Ren, Jingxing Chen, Liang Feng
{"title":"A Novel Positioning Algorithm Based on Self-adaptive Algorithm of RBF Network","authors":"Jin Ren, Jingxing Chen, Liang Feng","doi":"10.2174/1874129001610010141","DOIUrl":"https://doi.org/10.2174/1874129001610010141","url":null,"abstract":"Abstract: Much attention has been paid to Taylor series expansion (TSE) method these years, which has been extensively used for solving nonlinear equations for its good robustness and accuracy of positioning. A Taylor-series expansion location algorithm based on the RBF neural network (RBF-TSE) is proposed before to the performance of TSE highly depends on the initial estimation. In order to have more accurate and lower cost,a new Taylor-series expansion location algorithm based on Self-adaptive RBF neural network (SA-RBF-TSE) is proposed to estimate the initial value. The proposed algorithm is analysed and simulated with several other algorithms in this paper.","PeriodicalId":370221,"journal":{"name":"The Open Electrical & Electronic Engineering Journal","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129953691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Research on Calibration Method for Tractor Automatic Navigation Control System 拖拉机自动导航控制系统标定方法研究
The Open Electrical & Electronic Engineering Journal Pub Date : 2016-11-15 DOI: 10.2174/1874129001610010129
Qun Sun, Shaomin Teng, Yongqi Du, Ze Kang, Chengqiang Yin, Linlin Chen
{"title":"Research on Calibration Method for Tractor Automatic Navigation Control System","authors":"Qun Sun, Shaomin Teng, Yongqi Du, Ze Kang, Chengqiang Yin, Linlin Chen","doi":"10.2174/1874129001610010129","DOIUrl":"https://doi.org/10.2174/1874129001610010129","url":null,"abstract":"Abstract: A lower computer control system of tractor automatic navigation based on double-antennas Beidou satellite is developed, including the controller unit, bipolar output unit, RS232 bus communication unit, a switch reset unit and the power conversion unit. To obtain a continuous voltage output, the calibration method of lower control system using least square method to fit calibration curve has been studied. The lower computer control system receives navigation angel and navigation angel offset instruction provided by the host computer through RS232 bus communication unit. Continuous voltage from -10V to +10V is output through the bipolar output unit to adjust hydraulic valves to control the tractor steering after these are processed by the lower computer.","PeriodicalId":370221,"journal":{"name":"The Open Electrical & Electronic Engineering Journal","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116682901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Performance Analysis of Incremental Conductance MPPT with Simple Moving Voltage Average Method for Distributed PV System 分布式光伏系统简单移动电压平均法增量电导MPPT性能分析
The Open Electrical & Electronic Engineering Journal Pub Date : 2016-11-08 DOI: 10.2174/1874129001610010118
Amjad Ali, Wuhua Li, Xiangning He
{"title":"Performance Analysis of Incremental Conductance MPPT with Simple Moving Voltage Average Method for Distributed PV System","authors":"Amjad Ali, Wuhua Li, Xiangning He","doi":"10.2174/1874129001610010118","DOIUrl":"https://doi.org/10.2174/1874129001610010118","url":null,"abstract":"Abstract: In order to harvest photovoltaic energy efficiently, several methods exist, yet most of them failed to address the issues related to extract the maximum power under rapidly changing solar irradiance conditions. In conventional incremental conductance, large step size reduces tracking time but oscillation remains around maximum power point (MPP). However, small step size reduces the oscillation but results in slower tracking speed. This paper proposes a simple moving voltage average (SMVA) technique in conjunction with fixed step direct control incremental conductance (INC) maximum power point tracking (MPPT) method in order to reduce the photovoltaic (PV) generated voltage (VPV) fluctuation and power losses under mismatching solar irradiance conditions in distributed PV system. Theoretical analysis and the simulation results revealed that the proposed SMVA technique provides fast and accurate tracking under mismatching irradiance conditions. Also, it significantly improves the voltage stability because of extremely small |dP/dV| around MPP as compared to the conventional fixed step direct control incremental conductance MPPT method. Finally, results show that the proposed method is suitable for distributed PV system under intermittent weather conditions not only in terms of voltage stability but also in overall system efficiency.","PeriodicalId":370221,"journal":{"name":"The Open Electrical & Electronic Engineering Journal","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116600882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
The Online Identification of Dominated Inter-area Oscillations Interface Based on the Incremental Energy Function in Power System 基于增量能量函数的电力系统占优区间振荡界面在线辨识
The Open Electrical & Electronic Engineering Journal Pub Date : 2016-09-30 DOI: 10.2174/1874129001610010088
Cheng Liu, G. Cai, Deyou Yang, Zhenglong Sun, Mingna Zhang
{"title":"The Online Identification of Dominated Inter-area Oscillations Interface Based on the Incremental Energy Function in Power System","authors":"Cheng Liu, G. Cai, Deyou Yang, Zhenglong Sun, Mingna Zhang","doi":"10.2174/1874129001610010088","DOIUrl":"https://doi.org/10.2174/1874129001610010088","url":null,"abstract":"Abstract: The online identification of power system dominated inter-area oscillations interface based on the incremental energy function method is proposed in this paper. The dominant inter-area oscillations interface can be obtained by calculating branch oscillation potential energy, which is tie-line concentrated by oscillations energy. To get the oscillation energy caused by the different mechanism (free oscillation and forced oscillation), different fault position, different oscillation source. Power system dominated inter-area oscillations interface can be effectively obtained by proposed method, at the same time, dominated inter-area oscillations clusters also can be obtained. Finally, damping property of power system is effectively improved by configurating series damping controller in the dominant oscillation profile. The accuracy of the dominant oscillation interface identification is verified in this paper. At the same time, the proposed approach can also provides the basis for the configuration of damping control based on line.","PeriodicalId":370221,"journal":{"name":"The Open Electrical & Electronic Engineering Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129061625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
PID Parameters Optimization Research for Hydro Turbine Governor by an Improved Fuzzy Particle Swarm Optimization Algorithm 基于改进模糊粒子群算法的水轮机调速器PID参数优化研究
The Open Electrical & Electronic Engineering Journal Pub Date : 2016-09-30 DOI: 10.2174/1874129001610010101
Chen Gonggui, Du Yangwei, Guo Yanyan, Huang Shanwai, L. Lilan
{"title":"PID Parameters Optimization Research for Hydro Turbine Governor by an Improved Fuzzy Particle Swarm Optimization Algorithm","authors":"Chen Gonggui, Du Yangwei, Guo Yanyan, Huang Shanwai, L. Lilan","doi":"10.2174/1874129001610010101","DOIUrl":"https://doi.org/10.2174/1874129001610010101","url":null,"abstract":"Parameter optimization of water turbine regulating system (WTRS) is decisive in providing support for the power quality and stability analysis of power system. In this paper, an improved fuzzy particle swarm optimization (IFPSO) algorithm is proposed and used to solve the optimization problem for WTRS under frequency and load disturbances conditions. The novel algorithm which is based on the standard particle swarm optimization (PSO) algorithm can speed up the convergence speed and improve convergence precision with combination of the fuzzy control thought and the crossover thought in genetic algorithm (GA). The fuzzy control is employed to get better dynamics of balance between global and local search capabilities, and the crossover operator is introduced to enhance the diversity of particles. Two different types of WTRS systems are built and analyzed in the simulation experiments. Furthermore, the sum of regulating time and another number that is the integral of sum for absolute value of system error and the squared governor output signal is considered as the fitness function of this algorithm. The simulation experiments for parameter optimization problem of WTRS system are carried out to confirm the validity and superiority of the proposed IFPSO, as compared to standard PSO, Ziegler Nichols (ZN) algorithm and fuzzy PID algorithm in terms of parameter optimization accuracy and convergence speed. The simulation results reveal that IFPSO significantly improves the dynamic performance of system under all of the running conditions.","PeriodicalId":370221,"journal":{"name":"The Open Electrical & Electronic Engineering Journal","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132561818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A Non-Parametric Propagation Condition Identification Method and Non-Line of Sight Mitigation Algorithm for Wireless Sensor Network 一种无线传感器网络非参数传播条件识别方法及非视线抑制算法
The Open Electrical & Electronic Engineering Journal Pub Date : 2016-08-31 DOI: 10.2174/1874129001610010080
Hao Chu, Chengdong Wu
{"title":"A Non-Parametric Propagation Condition Identification Method and Non-Line of Sight Mitigation Algorithm for Wireless Sensor Network","authors":"Hao Chu, Chengdong Wu","doi":"10.2174/1874129001610010080","DOIUrl":"https://doi.org/10.2174/1874129001610010080","url":null,"abstract":"The wireless sensor network (WSN) has received increasing attention since it has many potential applications such as the internet of things and smart city. The localization technology is critical for the application of the WSN. The obstacles induce the larger non-line of sight (NLOS) error and it may decrease the localization accuracy. In this paper, we mainly investigate the non-line of sight localization problem for WSN. Firstly, the Pearson's chi-squared testing is employed to identify the propagation condition. Secondly, the particle swarm optimization based localization method is proposed to estimate the position of unknown node. Finally the simulation experiments are implemented. The simulation results show that the proposed method owns higher localization accuracy when compared with other two methods.","PeriodicalId":370221,"journal":{"name":"The Open Electrical & Electronic Engineering Journal","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129162350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hierarchical Reinforcement Learning Based Self-balancing Algorithm for Two-wheeled Robots 基于层次强化学习的两轮机器人自平衡算法
The Open Electrical & Electronic Engineering Journal Pub Date : 2016-07-29 DOI: 10.2174/1874129001610010069
Juan Yan, Huibin Yang
{"title":"Hierarchical Reinforcement Learning Based Self-balancing Algorithm for Two-wheeled Robots","authors":"Juan Yan, Huibin Yang","doi":"10.2174/1874129001610010069","DOIUrl":"https://doi.org/10.2174/1874129001610010069","url":null,"abstract":"Abstract: Self-balancing control is the basis for applications of two-wheeled robots. In order to improve the self-balancing of twowheeled robots, we propose a hierarchical reinforcement learning algorithm for controlling the balance of two-wheeled robots. After describing the subgoals of hierarchical reinforcement learning, we extract features for subgoals, define a feature value vector and its corresponding weight vector, and propose a reward function with additional subgoal reward function. Finally, we give a hierarchical reinforcement learning algorithm for finding the optimal strategy. Simulation experiments show that, the proposed algorithm is more effectiveness than traditional reinforcement learning algorithm in convergent speed. So in our system, the robots can get selfbalanced very quickly.","PeriodicalId":370221,"journal":{"name":"The Open Electrical & Electronic Engineering Journal","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122587246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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