2017 Iranian Conference on Electrical Engineering (ICEE)最新文献_第4页

Indirect congestion management approach in distribution system with high PV penetration 高光伏渗透率配电系统的间接拥塞管理方法

2017 Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2017-05-01 DOI: 10.1109/IRANIANCEE.2017.7985183

S. Bagherinezhad, S. Jadid

{"title":"Indirect congestion management approach in distribution system with high PV penetration","authors":"S. Bagherinezhad, S. Jadid","doi":"10.1109/IRANIANCEE.2017.7985183","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2017.7985183","url":null,"abstract":"By ever-increasing demand for electrical power and lack of interminable fossil fuel resources, the trend toward renewable energies such as solar photovoltaic is inevitable. Since the technology cost of distributed energy resources (DER) has decreased, the inclination toward using these systems in buildings has increased substantially. High penetration of photovoltaic systems in residential sectors can cause problems in the distribution system, especially when the solar irradiation is high and the electricity demand is low. This paper addresses the congestion problem caused by high PV penetration in a residential distribution system by introducing a central energy management system, which utilizes demand response approach to minimize the cost of the system along with scheduling the operation of the appliances and electrical storages in such a way that grid constraints would not be violated. First, each house will be scheduled individually and send the data to the central controller and then after analyzing the obtained data if the results exceed the defined criteria the central energy management system will perform an optimization to enhance the situation. Simulation results show that the proposed method has decreased the possible problems caused by congestion and improved the performance of the distribution system.","PeriodicalId":161929,"journal":{"name":"2017 Iranian Conference on Electrical Engineering (ICEE)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116067262","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: 5

Model-free subspace approach to NLQG controller design using bilinear model 采用双线性模型的无模型子空间方法设计NLQG控制器

2017 Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2017-05-01 DOI: 10.1109/IRANIANCEE.2017.7985169

S. Rahmani, H. Khaloozadeh, A. Khaki‐Sedigh

引用次数: 2

A novel ultra-low-power time-domain comparator based on subthreshold source-coupled logic 一种基于亚阈值源耦合逻辑的超低功耗时域比较器

2017 Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2017-05-01 DOI: 10.1109/IRANIANCEE.2017.7985497

Samaneh Babayan-Mashhadi, Sajjad Mortazavi

引用次数: 3

Secure Degrees of Freedom of two-user two-hop X-channel 二用户二跳x信道的安全自由度

2017 Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2017-05-01 DOI: 10.1109/IRANIANCEE.2017.7985367

Bardiya Barari, Pedram Kheirkhah Sangdeh, Bahareh Akhbari

引用次数: 1

A robust approach to schedule flexible ramp in Real-Time Electricity Market considering Demand Response 考虑需求响应的实时电力市场柔性坡道调度鲁棒方法

2017 Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2017-05-01 DOI: 10.1109/IRANIANCEE.2017.7985216

Houman Heidarabadi, S. H. Hosseini, Hossein Ranjbar

引用次数: 2

Dimensional synthesis of a four-bar linkage mechanism via a PSO-based Cooperative Neural Network approach 基于pso的协作神经网络方法的四杆机构尺寸综合

2017 Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2017-05-01 DOI: 10.1109/IRANIANCEE.2017.7985168

Golnoush Asaeikheybari, Amir Salimi Lafmejani, A. Kalhor, M. T. Masouleh

{"title":"Dimensional synthesis of a four-bar linkage mechanism via a PSO-based Cooperative Neural Network approach","authors":"Golnoush Asaeikheybari, Amir Salimi Lafmejani, A. Kalhor, M. T. Masouleh","doi":"10.1109/IRANIANCEE.2017.7985168","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2017.7985168","url":null,"abstract":"The dimensional synthesis problem is one of the challenging problems in robotics which has initiated several mathematical challenges. In this paper, a novel algorithm is proposed based on combination of Particle Swarm Optimization (PSO) and Cooperative Neural Network (CNN) for solving synthesis problem of a four-bar linkage which leads to an optimization problem. The cooperative network, so-called PS-CNN, consists of memory-retaining particles which collaborate together based on PSO algorithm in a cooperative interaction converge to the optimal dimensional synthesis solution. In the complete-connected network, each neuron provides a solution. Thereby, solutions are updated according to the neurons' memory, their interaction with other neurons and the global best solution of the neurons in order to provide a proper solution to the optimization problem. The objective of the optimization problem is to minimize the distance of the robot's end-effector from the 5 prescribed points by the user when traversing them. Simulation results reveal the desirable performance of the PS-CNN for robot synthesis with higher complexities. Furthermore, the proposed approach opens an avenue to extend it.","PeriodicalId":161929,"journal":{"name":"2017 Iranian Conference on Electrical Engineering (ICEE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128222486","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

Noise adaptive deep belief network for robust speech features extraction 基于噪声自适应深度信念网络的鲁棒语音特征提取

2017 Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2017-05-01 DOI: 10.1109/IRANIANCEE.2017.7985279

Mohammad. Abdollahi, B. Nasersharif

{"title":"Noise adaptive deep belief network for robust speech features extraction","authors":"Mohammad. Abdollahi, B. Nasersharif","doi":"10.1109/IRANIANCEE.2017.7985279","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2017.7985279","url":null,"abstract":"Deep neural networks (DNNs) have been widely used for acoustic modeling and also feature extraction in automatic speech recognition (ASR) systems. In the acoustic modeling, due to wide speaker variations, some methods have been proposed for adapting DNN to new speakers. In this paper, we propose to use this idea for adaptation of deep belief network (DBN), as a spectral feature extractor, to unknown and new noisy conditions. To this end, we use DBN in two approaches. In the first approach, we use DBN to extract logarithm of Mel sub-band energies (LMFBs) from noisy speech spectrum as robust features. In the second approach, we use DBN to estimate clean speech spectrum from the noisy one. Then, we propose to add a linear layer to DBN (as a linear adaptation method) in order to adapt DBN to unknown and new noisy conditions. This method has been applied to both mentioned DBNs. This linear layer can be added to DBN input or its output. Experimental results on Aurora2 database for ASR show that the proposed adaptation methods increase DBN performance for extracting more robust speech features. Where we have 7.5% and 11% improvement in recognition accuracy by adapting DBNs which are used as LMFB extractor and clean speech spectrum estimator, respectively.","PeriodicalId":161929,"journal":{"name":"2017 Iranian Conference on Electrical Engineering (ICEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128716461","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

An extended distributed learning automata based algorithm for solving the community detection problem in social networks 一种基于扩展分布式学习自动机的社交网络社区检测算法

2017 Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2017-05-01 DOI: 10.1109/IRANIANCEE.2017.7985284

M. Ghamgosar, M. D. Khomami, Negin Bagherpour, Mohammad Reza

引用次数: 9

Miniaturization of conical antenna with Electromagnetics Transformation method 用电磁变换方法实现锥形天线小型化

2017 Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2017-05-01 DOI: 10.1109/IRANIANCEE.2017.7985402

M. M. Gilarlue, J. Nourinia, C. Ghobadi, B. Mohammadi

引用次数: 3

Performance improvement on dual active bridge converter using CLLC resonant network with separated capacitor and inductor 电容电感分离CLLC谐振网络双有源桥式变换器的性能改进

2017 Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2017-05-01 DOI: 10.1109/IRANIANCEE.2017.7985191

Saeed Mansouri, E. Afjei

引用次数: 5