2016 IEEE Smart Energy Grid Engineering (SEGE)最新文献_第6页

Modeling and simulation of vehicle power network in Simulink/MATLAB 基于Simulink/MATLAB的汽车电网建模与仿真

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589525

D. Bilyi, D. Gerling

引用次数: 6

A review of Volt/Var control techniques in passive and active power distribution networks 无源和有源配电网电压/无功控制技术综述

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589500

M. Tahir, M. Nassar, R. El-Shatshat, M. Salama

{"title":"A review of Volt/Var control techniques in passive and active power distribution networks","authors":"M. Tahir, M. Nassar, R. El-Shatshat, M. Salama","doi":"10.1109/SEGE.2016.7589500","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589500","url":null,"abstract":"Volt/Var control problem of distribution systems has been extensively investigated in literature. Many control models and algorithms have been proposed to achieve better system quality, security, reliability, efficiency, loadability, and cost effectiveness. Early distribution systems are built based on centralized power generation which is named passive distribution system (PDS), where power flow is unidirectional. Nowadays, the topology of the distribution system allows for bidirectional power flow which is named active distribution system (ADS) due to the presence of active resources, such as distributed generations (DGs). The complexity of controlling each system depends on the topology and size of the network, as well as the control devices used. However, in general there are mainly two main control strategies used to control power networks: centralized and decentralized. This paper provides a review for both control strategies in the distribution system based on Volt/Var control techniques. It introduces the most commonly used techniques and algorithms in the literature for passive and active distribution systems. Moreover, it provides the reader with a comprehensive review on the common optimization techniques and the different objective functions used in terms of loss minimization, voltage deviation, and minimum control variable operation.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122836193","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: 25

An energy management system for residential demand response based on multiobjective optimization 基于多目标优化的住宅需求响应能源管理系统

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589506

C. Henggeler Antunes, A. Soares, Á. Gomes

{"title":"An energy management system for residential demand response based on multiobjective optimization","authors":"C. Henggeler Antunes, A. Soares, Á. Gomes","doi":"10.1109/SEGE.2016.7589506","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589506","url":null,"abstract":"Dynamic tariffs, i.e. energy prices with frequent variations possibly with significant amplitude, are expected to become an important pricing scheme in smart grids. In this setting, active residential load management can play an important role to help end-users optimizing the usage of energy resources (grid, local generation, storage and loads) to minimize the overall energy cost without compromising comfort. The scheduling of load control actions should take into account energy costs, end-users' preferences and requirements, potential dissatisfaction when the operation cycle of loads is changed, technical constraints, weather forecasts, the existence of local generation and storage systems. A multi-objective optimization approach has been developed to assist decisions weighing the minimization of the energy cost and the minimization of end-user's dissatisfaction associated with the implementation of management strategies. Due to the combinatorial nature of this model, an evolutionary algorithm has been designed to optimize the integrated usage of multiple residential energy resources considering a vast set of potential management strategies taking into account the end-user's profile regarding the acceptable balance between the cost and comfort dimensions. Those energy resources include the grid, local generation, shiftable loads, thermostatically controlled loads and storage systems (stationary and electric vehicle). The evolutionary algorithm makes the most of the physical characteristics of the problem to obtain results that can be implemented in practice with a mild computational effort. Results of case studies have shown that savings can be achieved with an energy management system based on this approach, although dependent on the end-user's preferences and willingness to accept automated control.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"2 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116798110","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: 13

A review of robust image enhancement algorithms and their applications 鲁棒图像增强算法及其应用综述

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589554

Emrah Irmak, A. Ertas

{"title":"A review of robust image enhancement algorithms and their applications","authors":"Emrah Irmak, A. Ertas","doi":"10.1109/SEGE.2016.7589554","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589554","url":null,"abstract":"The essential target of image enhancement is to minimize noise from a digital image by keeping the intrinsic information of the image preserved. The main difficulty in image enhancement is determining the criteria for enhancement and, therefore, more than one image enhancement techniques are empirical and require interactive procedures to obtain satisfactory results. In this paper robust image enhancement algorithms are discussed, implemented to noisy images and compared according to their robustness. The algorithms are especially able to improve the contrast of medical images, fingerprint images and selenography images by means of software techniques. When deciding that one image has better quality than another image, quality measure metrics are needed. Otherwise comparing image quality just by visual appearance may not be objective because images could vary from person to person. That is why quantitative metrics are crucial to compare images for their qualities. In this paper Peak Signal to Noise Ratio (PSNR) and Mean Squared Error (MSE) quality measure metrics are used to compare the image enhancement methods systematically. All the methods are validated by the performance measures with PSNR and MSE. It is believed that this paper will provide comprehensive reference source for the researchers involved in image enhancement field.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127645048","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: 19

Developing sensor and measurement T-shaped professional power engineering course 开设传感器与测量t型专业电力工程课程

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589495

P. Ghosh, T. Bujanovic

{"title":"Developing sensor and measurement T-shaped professional power engineering course","authors":"P. Ghosh, T. Bujanovic","doi":"10.1109/SEGE.2016.7589495","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589495","url":null,"abstract":"To meet the need of modern workplace, course and curriculum should be redesigned to provide students with the necessary depth of knowledge in a specific subject matter while helping them to acquire the breath in additional areas such as ability to communicate the technical knowledge and be able to work with others with different background. This type of course structure will help students to acquire the qualities and skills required of T-shaped professionals. We have developed a course on Sensor and Measurements course to promote the development of T-shaped professional power engineers. The course structure consists of class room lectures followed by laboratory experiments and demonstrations to reinforce principles discussed in class. Test exams, home-works, and survey results show a trend towards increased student understanding of sensors used in power engineering as well as measurements of power parameters and interpretation of measured data. Students show better understanding of the economic, social and environmental impacts of available data quality for power system observability. Hands-on experience during laboratory experiments and demonstrations as well as the design project related to power system helped promote T-shaped professional development of the students. In this presentation we will discuss course structure followed by students work to demonstrate the effect of the approach towards promoting T-shaped professional power engineers.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134464864","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

An improved integrated boost full-bridge converter 一种改进的集成升压全桥变换器

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589524

Zhilei Yao, Jing Xu

引用次数: 2

Power allocation among socio-economic sectors with overlapping demands during power shortage: A bankruptcy approach 电力短缺时期需求重叠的社会经济部门间的电力分配:一个破产的方法

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589191

Dagmawi Mulugeta Degefu, Weijun He

{"title":"Power allocation among socio-economic sectors with overlapping demands during power shortage: A bankruptcy approach","authors":"Dagmawi Mulugeta Degefu, Weijun He","doi":"10.1109/SEGE.2016.7589191","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589191","url":null,"abstract":"Power supply is one of the main backbones of sustainable socio-economic development. In developing countries with rapidly growing economies one of the main problem and obstacle for economic development is shortage of power supply. This makes it a contested resource among different socio-economic sectors. Therefore, distribution of power to different socio-economic sectors with overlapping power demands during power shortage requires careful and strategic decision making in order to maximize the socio-economic benefit that can be obtained out of limited power supply while maintaining equitable distribution. This research article proposed approaching power supply allocation problem during power shortage as game theoretic bankruptcy problem. Then the allocation of power during power scarcity among different socio-economic sectors using the classical bankruptcy allocation techniques was proposed. Each sector is characterized by its power demand. Such an approach could help make power allocation decisions which maximizes the socio-economic benefits from limited power supply by distributing it in a way that can be a base for efficient, reasonable and fair power supply management schemes during periods of power shortage.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114211806","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

Supervisory controller for power management of AC/DC microgrid 用于交直流微电网电源管理的监控控制器

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589516

H. Gabbar, Mohamed El-Hendawi, G. El-Saady, El-Nobi A. Ibrahim

引用次数: 10

Evaluation of community virtual power plant under various pricing schemes 不同定价方案下的社区虚拟电厂评价

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589503

O. Okpako, H. Rajamani, P. Pillai, Ugonna Anuebunwa, K. Swarup

引用次数: 8

Optimization of renewable powered hydrogen micro-grid; taking in to account economic criteria 可再生能源氢微电网优化设计考虑到经济标准

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589534

Azadeh Maroufmashat, U. Mukherjee, Jonathan Ranisau, M. Barbouti, A. Trainor, H. El-Shayeb, Nidhi Juthani, M. Fowler

{"title":"Optimization of renewable powered hydrogen micro-grid; taking in to account economic criteria","authors":"Azadeh Maroufmashat, U. Mukherjee, Jonathan Ranisau, M. Barbouti, A. Trainor, H. El-Shayeb, Nidhi Juthani, M. Fowler","doi":"10.1109/SEGE.2016.7589534","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589534","url":null,"abstract":"In this paper, a renewable hydrogen powered micro-grid is developed that is capable of supporting a community in islanded mode or while the macro grid is active. To accomplish this task, different renewable energy based technologies, such as Solar PVs, wind turbines, electrolysers, hydrogen tanks and fuel cells are considered. The energy hub approach is used for the modeling, which enables the provision of smart grid services and allows the management of both the energy generation and the energy loads of an entire community. As a case study, a community consisting of a large distribution center and a residential complex is considered. The micro grid is responsible for meeting the electricity demands of the community as well as supplying hydrogen for the forklifts and hydrogen vehicles. The hydrogen can be used directly as fuel for a fuel cell forklift, or vehicle, and for the generation of electricity via vehicles for the bi-directional grid connection, which allows the option to supply electricity during peak hours by means of stored hydrogen energy. The objective of this work is to find the optimum size of the different renewable technologies for the micro-grid considering economic criteria.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126863114","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: 6