2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)最新文献_第9页

Low-Frequency Oscillation Mitigation usin an Optimal Coordination of CES and PSS based on BA 基于BA的CES和PSS最优协调的低频振荡抑制

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752705

D. Lastomo, H. Setiadi, G. Bangga, I. Farid, M. Faisal, Peter Go Hutomo, T. Syawitri, Louis Putra, Yongki Hendranata, Kristiadi Stefanus, Chairunnisa, Andri Ashfahani, Ahmad Sabila

{"title":"Low-Frequency Oscillation Mitigation usin an Optimal Coordination of CES and PSS based on BA","authors":"D. Lastomo, H. Setiadi, G. Bangga, I. Farid, M. Faisal, Peter Go Hutomo, T. Syawitri, Louis Putra, Yongki Hendranata, Kristiadi Stefanus, Chairunnisa, Andri Ashfahani, Ahmad Sabila","doi":"10.1109/EECSI.2018.8752705","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752705","url":null,"abstract":"Small signal stability represents the reliability of generator for transferring electrical energy to the consumers. The stress of the generator increases proportionally with the increasing number of load demand as well as the uncertainty characteristic of the load demand. This condition makes the small signal stability performance of power system become vulnerable. This problem can be handled using power system stabilizer (PSS) which is installed in the excitation system. However, PSS alone is not enough to deal with the uncertainty of load issue because PSS supplies only an additional signal without providing extra active power to the grid. Hence, utilizing capacitor energy storage (CES) may solve the load demand and uncertainty issues. This paper proposes a coordination between CES and PSS to mitigate oscillatory behavior of the power system. Moreover, bat algorithm is used as an optimization method for designing the coordinated controller between CES and PSS. In order to assess the proposed method, a multi-machine two-area power system is applied as the test system. Eigenvalue, damping ratio, and time domain simulations are performed to examine the significant results of the proposed method. From the simulation, it is found that the present proposal is able to mitigate the oscillatory behavior of the power system by increasing damping performance from 4.9% to 59.9%.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"92 1","pages":"216-221"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88857590","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

EECSI 2018 Author Index EECSI 2018作者索引

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/eecsi.2018.8752832

引用次数: 0

EECSI 2018 Forewords

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/eecsi.2018.8752890

引用次数: 0

Comparison Between A* And Obstacle Tracing Pathfinding In Gridless Isometric Game 无网格等距游戏中A*与障碍物追踪寻径的比较

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752625

Lailatul Husniah, R. Mahendra, Ali Sofyan Kholimi, E. Cahyono

引用次数: 1

Review on Adjustable Speed Drive Techniques of Matrix Converter Fed Three-Phase Induction Machine 矩阵变换器三相感应电机调速技术研究进展

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752630

Arsyad Cahya Subrata, T. Sutikno, A. Z. Jidin, A. Jidin

引用次数: 4

Middleware for Network Interoperability in IoT 物联网网络互操作性的中间件

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752917

Eko Sakti Pramukantoro, Fariz Andri Bakhtiar, Binariyanto Aji, Rasidy Pratama

引用次数: 5

IDEnet : Inception-Based Deep Convolutional Neural Network for Crowd Counting Estimation 基于初始化的深度卷积神经网络用于人群计数估计

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752637

Samuel Cahyawijaya, Bryan Wilie, W. Adiprawita

{"title":"IDEnet : Inception-Based Deep Convolutional Neural Network for Crowd Counting Estimation","authors":"Samuel Cahyawijaya, Bryan Wilie, W. Adiprawita","doi":"10.1109/EECSI.2018.8752637","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752637","url":null,"abstract":"In crowd counting task, our goals are to estimate density map and count of people from the given crowd image. From our analysis, there are two major problems that need to be solved in the crowd counting task, which are scale invariant problem and inhomogeneous density problem. Many methods have been developed to tackle these problems by designing a dense aware model, scale adaptive model, etc. Our approach is derived from scale invariant problem and inhomogeneous density problem and we propose a dense aware inception based neural network in order to tackle both problems. We introduce our novel inception based crowd counting model called Inception Dense Estimator network (IDEnet). Our IDEnet is divided into 2 modules, which are Inception Dense Block (IDB) and Dense Evaluator Unit (DEU). Some variations of IDEnet are evaluated and analysed in order to find out the best model. We evaluate our best model on UCF50 and ShanghaiTech dataset. Our IDEnet outperforms the current state-of-the-art method in ShanghaiTech part B dataset. We conclude our work with 6 key conclusions based on our experiments and error analysis.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"70 1","pages":"548-553"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89367043","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

Substrate Integrated Waveguide Bandpass Filter with Complementary Split Ring Resonator at 2.45 GHz 2.45 GHz互补分环谐振腔的衬底集成波导带通滤波器

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752697

Dian Widi Astuti, Sis Yasin Darmanik, M. Muslim, M. Alaydrus

引用次数: 2

Variance and Symmetrical-based Approach for Optimal Alignment of 3D Model 基于方差和对称性的三维模型最优对齐方法

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752898

Luh Putu Ayu Prapitasari, Parth Rawal, R. Grigat

引用次数: 1

Winter Exponential Smoothing: Sales Forecasting on Purnama Jati Souvenirs Center 冬季指数平滑:Purnama Jati纪念品销售预测

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752767

Fahrobby Adnan, Putri Damayanti, G. Fajarianto, Antonius Cahya Prihandoko

引用次数: 0