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2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)最新文献

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The key drivers of sustainability 可持续发展的关键驱动因素
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) Pub Date : 2016-12-01 DOI: 10.1109/IEEM.2016.7798069
H. Daneshpour
{"title":"The key drivers of sustainability","authors":"H. Daneshpour","doi":"10.1109/IEEM.2016.7798069","DOIUrl":"https://doi.org/10.1109/IEEM.2016.7798069","url":null,"abstract":"Nowadays, sustainability is gaining considerable attention in decision making processes. Since 1987 that the concept of sustainable development was introduced this field of research has faced with some debates and continuous improvements in the logic. However, sustainability is a multi-faceted notion, which has raised the complexity of sustainable management. Therefore, this paper strives to manage this issue by the reduction of dimensions through the application of principal component analysis. For this purpose, a set of data from Eurostat database that includes the indicators of sustainability is evaluated. The results remark the crucial elements of sustainability such as: renewable energy, innovation and efficiency.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130335522","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 multiperiodal management method at user level for storage systems using artificial neural network forecasts 基于人工神经网络预测的存储系统用户级多周期管理方法
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) Pub Date : 2016-11-04 DOI: 10.1109/EEEIC.2016.7555755
G. Belli, G. Brusco, A. Burgio, D. Menniti, A. Pinnarelli, N. Sorrentino, P. Vizza
{"title":"A multiperiodal management method at user level for storage systems using artificial neural network forecasts","authors":"G. Belli, G. Brusco, A. Burgio, D. Menniti, A. Pinnarelli, N. Sorrentino, P. Vizza","doi":"10.1109/EEEIC.2016.7555755","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555755","url":null,"abstract":"The increase of renewable non-programmable production and the necessity to locally self-consume the produced energy led to utilize ever more storage systems. To correctly utilize storage systems, an opportune management method has to be utilized. This paper implements a multi-period management method for storage devices, using different management strategies. The method aims to minimize the total absorbed and supplied energy or the peak power exchanged with the grid. The results show the effectiveness of the method in diminishing the energy exchanged with the grid and also the possibility to optimize the performance of the storage device.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134088280","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: 10
Optimal management of a virtual power plant 虚拟电厂的优化管理
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) Pub Date : 2016-10-17 DOI: 10.1109/EEEIC.2016.7555616
D. Jigoria-Oprea, G. Vuc, Marcela Litcanu
{"title":"Optimal management of a virtual power plant","authors":"D. Jigoria-Oprea, G. Vuc, Marcela Litcanu","doi":"10.1109/EEEIC.2016.7555616","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555616","url":null,"abstract":"Deregulation of energy market led to the development of flexible and efficient framework for energy trading by energy companies in a competitive environment. Both deregulation and the concern towards environment issues increased the number of small and medium renewable power plants distributed in the network. The variability of renewable energy sources and the lack of their central monitoring led to new challenges concerning power system operation. The idea of aggregation for distributed energy sources led to the concept of virtual power plant, which determines a better control of production units but also a better visibility for the system operator. In this paper, the authors propose an optimal management solution which can offer a virtual power plant the capability to sell complete services, both for production and demand side management, by decreasing the necessary reserve for balance.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126064114","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: 7
A review of LCC-HVDC and VSC-HVDC technologies and applications LCC-HVDC和VSC-HVDC技术及其应用综述
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) Pub Date : 2016-09-30 DOI: 10.1109/EEEIC.2016.7555677
O. Oni, I. Davidson, Kamati N. I. Mbangula
{"title":"A review of LCC-HVDC and VSC-HVDC technologies and applications","authors":"O. Oni, I. Davidson, Kamati N. I. Mbangula","doi":"10.1109/EEEIC.2016.7555677","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555677","url":null,"abstract":"High Voltage Direct Current (HVDC) systems has been an alternative method of transmitting electric power from one location to another with some inherent advantages over AC transmission systems. The efficiency and rated power carrying capacity of direct current transmission lines highly depends on the converter used in transforming the current from one form to another (AC to DC and vice versa). A well configured converter reduces harmonics, increases power transfer capabilities, and reliability in that it offers high tolerance to fault along the line. Different HVDC converter topologies have been proposed, built and utilised all over the world. The two dominant types are the line commutated converter LCC and the voltage source converter VSC. This review paper evaluates these two types of converters, their operational characteristics, power rating capability, control capability and losses. The balance of the paper addresses their applications, advantages, limitations and latest developments with these technologies.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","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":"128897166","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: 133
Value stream mapping for evaluation of load scheduling possibilities in a district heating plant 区域供热厂负荷调度可能性评估的价值流映射
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) Pub Date : 2016-09-22 DOI: 10.1109/EEEIC.2016.7555696
R. Melsas, A. Rosin, I. Drovtar
{"title":"Value stream mapping for evaluation of load scheduling possibilities in a district heating plant","authors":"R. Melsas, A. Rosin, I. Drovtar","doi":"10.1109/EEEIC.2016.7555696","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555696","url":null,"abstract":"Demand side response enables cost optimization for energy systems and industrial consumers. In many countries, it is not widely used because of implementation complexity. One of the solutions for applying demand side response is industrial process scheduling according to the energy market needs. From the energy system point of view, process scheduling implies load scheduling. The aim of this paper is to provide a solution for load scheduling by implementing value stream mapping, which is a straightforward enough for production management. Decision makers in the industry should have a clear understanding about positive effect from load scheduling and its effect to production outcome and process availability. Value stream mapping is a well-known process optimization tool from lean production philosophy. The aim of value stream mapping is to shorten the lead time of industrial processes and to reduce the intermediate stock amounts. By complementing value stream map with process energy intensity and energy stored in intermediate stocks, we can promote load scheduling possibilities. Our methodology provides a tool that is understandable and traceable for industry-minded decision makers. Finally, we present a real life test example for the new methodology, which is based on the production process of a district heating plant.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123431606","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
Smart community load matching using stochastic demand modeling and historical production data 基于随机需求模型和历史生产数据的智能社区负荷匹配
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) Pub Date : 2016-09-01 DOI: 10.1109/EEEIC.2016.7555885
E. Palacios-García, A. Moreno-Muñoz, I. Santiago, I. Moreno-García, M. Milanés-Montero
{"title":"Smart community load matching using stochastic demand modeling and historical production data","authors":"E. Palacios-García, A. Moreno-Muñoz, I. Santiago, I. Moreno-García, M. Milanés-Montero","doi":"10.1109/EEEIC.2016.7555885","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555885","url":null,"abstract":"The current upward trend of the residential energy demand and the high penetration of new renewable resources have changed the conception of the electrical grid. The centralized distribution scheme is currently moving forward to a distributed layout where the paradigm of Smart Energy Communities has emerged, meaning a set of households that share a Microgrid, have tied renewable production and can be either connected or disconnected from the main grid. In this context, due to the reduced dispatchability of the renewable generation, the planning of the installed PV power as well as the storage capacity is the cornerstone in order to achieve a high degree of both self-generation and self-consumption. However, the lack of detailed hourly or sub-hourly data makes it difficult. Therefore, this paper aims to present a high-resolution simulation method for evaluating the PV power and storage capacity requirements for a Smart Community based on a stochastic demand model and real PV production data, so the interplay between consumption and generation can be better understood.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115765815","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
Dynamic voltage stability studies using a modified IEEE 30-bus system 使用改进的IEEE 30总线系统的动态电压稳定性研究
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) Pub Date : 2016-09-01 DOI: 10.1109/EEEIC.2016.7555668
O. Oni, I. Davidson, Kamati N. I. Mbangula
{"title":"Dynamic voltage stability studies using a modified IEEE 30-bus system","authors":"O. Oni, I. Davidson, Kamati N. I. Mbangula","doi":"10.1109/EEEIC.2016.7555668","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555668","url":null,"abstract":"Power System stability is an essential study in the planning and operation of an efficient, economic, reliable and secure electric power system because it encompasses all the facet of power systems operations, from planning, to conceptual design stages of the project as well as during the systems operating life span. This paper presents different scenario of power system stability studies on a modified IEEE 30-bus system which is subjected to different faults conditions. A scenario whereby the longest high voltage alternating current (HVAC) line is replaced with a high voltage direct current (HVDC) line was implemented. The results obtained show that the HVDC line enhances system stability more compared to the contemporary HVAC line. Dynamic analysis using RMS simulation tool was used on DigSILENT PowerFactory.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115457438","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: 9
Management of public water supply to reduce energy cost and improve wind power uptake 管理公共供水，降低能源成本，提高风力发电
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) Pub Date : 2016-09-01 DOI: 10.1109/EEEIC.2016.7555810
R. Kernan, X. Liu, S. McLoone, B. Fox
{"title":"Management of public water supply to reduce energy cost and improve wind power uptake","authors":"R. Kernan, X. Liu, S. McLoone, B. Fox","doi":"10.1109/EEEIC.2016.7555810","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555810","url":null,"abstract":"This paper presents a study on the implementation of Real-Time Pricing (RTP) based Demand Side Management (DSM) of water pumping at a clean water pumping station in Northern Ireland, with the intention of minimising electricity costs and maximising the usage of electricity from wind generation. A Genetic Algorithm (GA) was used to create pumping schedules based on system constraints and electricity tariff scenarios. Implementation of this method would allow the water network operator to make significant savings on electricity costs while also helping to mitigate the variability of wind generation.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116322983","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
Wind offshore energy in the Northern Aegean Sea islanding region 海上风能位于爱琴海北部岛屿地区
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) Pub Date : 2016-09-01 DOI: 10.1109/EEEIC.2016.7555518
Eleni Zafeiratou, C. Spataru, R. Bleischwitz
{"title":"Wind offshore energy in the Northern Aegean Sea islanding region","authors":"Eleni Zafeiratou, C. Spataru, R. Bleischwitz","doi":"10.1109/EEEIC.2016.7555518","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555518","url":null,"abstract":"The Greek state estimated a potential of 1,500 MW wind offshore capacity, which can be exploited by 2020, while 943.15 MW are located in the Northern Aegean Sea islanding region. This study presents a techno-economic assessment of wind offshore energy in the Northern Aegean Sea. Different topologies are proposed, taking into account wind offshore and islands interconnections using HVDC and HVAC technology. Investment indicators are based on the expected power generated by the Weibull wind speed probability density function and the total investment cost required for wind offshore engineering. The results show that the two wind offshore farms can secure the complete electrification of the neighboring islands and supply approximately 3,379 GWh to the main consumption centers in northern and central Greece on an annual basis. A sensitivity analysis towards investment optimization has been performed, proposing different wind turbine technologies and interconnection scenarios.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127406671","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
Voltage quality studies in electric power systems: An AC/DC network for a shipboard application 电力系统中的电压质量研究:船上应用的交流/直流网络
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) Pub Date : 2016-09-01 DOI: 10.1109/EEEIC.2016.7555410
A. Capasso, R. Lamedica, S. Lauria, A. Ruvio, E. Tironi, M. Corti
{"title":"Voltage quality studies in electric power systems: An AC/DC network for a shipboard application","authors":"A. Capasso, R. Lamedica, S. Lauria, A. Ruvio, E. Tironi, M. Corti","doi":"10.1109/EEEIC.2016.7555410","DOIUrl":"https://doi.org/10.1109/EEEIC.2016.7555410","url":null,"abstract":"The paper reports a voltage quality studies about integrate power system architectures in an all-electric ship. Two layout are considered: a medium voltage AC system and a “Hybrid” system which includes DC subnetworks. All-electric military vessels are characterized by a high power electric propulsion and high penetration of non-linear and impulsive loads. The study reports a power quality analysis for the two types of configurations network.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128080622","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
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