2016 IEEE Smart Energy Grid Engineering (SEGE)最新文献_第5页

Power-to-gas to meet transportation demand while providing ancillary services to the electrical grid 电转气以满足运输需求，同时为电网提供辅助服务

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589529

U. Mukherjee, S. Walker, Azadeh Maroufmashat, M. Fowler, A. Elkamel

引用次数: 19

A GA-BP hybrid algorithm based ANN model for wind power prediction 基于GA-BP混合算法的人工神经网络风电预测模型

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589518

Yordanos Kassa, J. Zhang, D. Zheng, Dan Wei

{"title":"A GA-BP hybrid algorithm based ANN model for wind power prediction","authors":"Yordanos Kassa, J. Zhang, D. Zheng, Dan Wei","doi":"10.1109/SEGE.2016.7589518","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589518","url":null,"abstract":"This paper deals with a hybrid GA-BP ANN approach for wind power prediction. Wind energy is one of the renewable energy options recently being developed significantly throughout the world in order to achieve low-emission targets, and it keeps extending its penetration in electric power generation. However, there are important issues emerging in the integration of wind power resulting from its intermittent and uncertain nature. An accurate wind power generation forecasting tool is necessary for planning efficient operation of power systems and to ensure reliability of supply. In this paper, a multi-layered feed-forward artificial neural network optimized by the genetic algorithm and trained by the back propagation (BP) learning algorithm has been used to develop a model for prediction of wind power generation. To demonstrate the effectiveness of the proposed method, it is tested based on practical information of wind power generation profile of the 2.5 MW wind turbine installed at a case study microgrid in Beijing. The proposed model is compared with BP neural network based model. Evaluation of forecasting performance is made with the persistence forecasting method as a reference model. Comparison of the results with actual scenario demonstrated that the proposed approach is accurate and reliable.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"1 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":"128203178","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: 28

Power management strategy for sizing battery system for peak load limiting in a university campus 大学校园限峰电池系统的电源管理策略

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589542

H. Dagdougui, Nicolas Mary, Arthaud Beraud-Sudreau, L. Dessaint

{"title":"Power management strategy for sizing battery system for peak load limiting in a university campus","authors":"H. Dagdougui, Nicolas Mary, Arthaud Beraud-Sudreau, L. Dessaint","doi":"10.1109/SEGE.2016.7589542","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589542","url":null,"abstract":"This paper presents an effective approach to design the capacity of the battery energy storage system (BESS) when this latter is applied for peak load shaving in campus university buildings integrating roof-top photovoltaic (PV) modules. In our setting, electricity is mainly supplied from the utility grid to a pre-set power limit. However, once the load demand exceeds the pre-set power limit, photovoltaic modules and BESS can both be used to effectively limit the active power drawn from the utility grid. The sizing strategy aims to minimize investment on BESS and take advantages of the available PV modules to limit the campus peak load to a minimum billing demand. The main objective of the proposed method is to find the optimal size of the BESS that maximizes the annual benefits of the university campus when the BESS and PV modules are used for peak load shaving. A cost benefit analysis is implemented and which considers also factors influencing the BESS such as battery conversion losses. The approach is validated by case studies where the optimal battery system is sized for Quebec pricing scheme.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"83 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":"123334053","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: 18

Transmission cost-sharing in multi-supplier power grid 多供应商电网的输电成本分担

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589501

Ivan Popov, A. Krylatov, V. Zakharov

引用次数: 0

Smart grid cooperative communications using switched relays with power allocation 带功率分配的开关继电器智能电网协同通信

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589555

Y. Chau

{"title":"Smart grid cooperative communications using switched relays with power allocation","authors":"Y. Chau","doi":"10.1109/SEGE.2016.7589555","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589555","url":null,"abstract":"In this paper, the cooperation communication with a modified switch-and-examine relay (SER) for the advanced metering infrastructure (AMI) is addressed, where fixed-gain amplify-and-forward (AF) relay is used since it consumes less power of relay processing and results in matched performance as compared to decode-and-forward (DF) relay. With the SER for smart grid cooperative communications, the relay is used only when the faded signal-to-noise ratio (SNR) of the direct transmission from the sensor or meter node to the meter data management center falls below a preset threshold. In the paper, the average transmission power of the cooperative communication with the modified SER is evaluated, and the optimal switch threshold is derived. In addition, optimal allocation of transmission powers for direct transmission and dual-hop relaying channels is considered. For the AMI system, numerical results of the optimal switch threshold and the minimum average transmission power are illustrated for the cooperation communication, where the relation between the optimal switch threshold and the minimum average transmission power is illustrated and different cases of fading parameters of wireless channels are studied.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"46 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":"123289450","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

Future smart home using intelligent electronic devices 未来的智能家居采用智能电子设备

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589508

Ankit R. Patel, D. Patel, Rahul Sathavara

引用次数: 1

Modeling and delay analysis of wide area network in smart grid communications 智能电网通信中广域网的建模与时延分析

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589550

Abdulfattah Noorwali, R. Rao, A. Shami

{"title":"Modeling and delay analysis of wide area network in smart grid communications","authors":"Abdulfattah Noorwali, R. Rao, A. Shami","doi":"10.1109/SEGE.2016.7589550","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589550","url":null,"abstract":"The ever-increasing number of new customers joining the power grid is impacting the delay performance in smart grids, as packets generated by numerous Electrical Devices (EDs) are required to be transported through several interconnected networks. Thus, the high volume of traffic generated in Neighbourhood Area Networks (NANs) is causing delay due to link congestion. In order to minimize this, Wide Area Networks (WANs) combined with an efficient routing strategy is a possible solution. In this paper, a topological design model that adapts to the faster routes is proposed for achieving minimum end-to-end delay. Routers are modelled as G/G/bl queueing systems with First Input First Out (FIFO) discipline. A Dynamic Fastest Routing Strategy (DFRS) for such a network with n number of nodes and m number of links that enables the packets to choose the best routes from source to destination is presented. It takes into account the level of clogging over each link, based on: i) the average threshold time of transmitting a packet over a link, ii) the Quality of Service (QoS) expected from the WAN, and iii) the performance of forwarding packets over sprightly routes. Expressions for mean packet delay (including waiting, transmission, and propagation time) are derived as a function of maximum number of packets, traffic intensity, death rate, capacity, number of channels, and the latency of the link. The simulation results are compared with theoretical expressions and wire-line networks that employ classical G/G/1 queueing system for an Open Shortest Path First (OSPF) routing scheme. It is noted that the proposed model is simple to implement and minimizes the average packet delay in WANs, and meets smart-grid standards.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"47 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":"117098501","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

Formalizing anonymity-delay tradeoffs in smart grid networks 智能电网中匿名延迟权衡的形式化

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589551

Benjamin Lipton, S. Mishra

{"title":"Formalizing anonymity-delay tradeoffs in smart grid networks","authors":"Benjamin Lipton, S. Mishra","doi":"10.1109/SEGE.2016.7589551","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589551","url":null,"abstract":"Privacy concerns about smart metering have proven to be a significant roadblock to adoption of the smart grid. In the smart grid, electricity usage data are collected in near real time, exposing users to attacks that reveal their habits, location, and preferences. Other research in this area has demonstrated the possibility of using pseudonyms to decouple low-frequency billing data from high-frequency grid maintenance data. Such schemes must provide a way to authenticate the pseudonym as belonging to a real customer, to defend against the submission of false data. However, this authentication process exposes the system to timing attacks that can correlate the authentication of a particular customer with the appearance of a new pseudonym on the network. These timing attacks have been addressed informally in the literature with techniques such as adding a random delay to transmission. The anonymity thus provided is not quantified or guaranteed, and can be subverted with active attacks via the service provider. This paper introduces a method for defeating timing attacks based on the theory of mix networks. The use of a mix formalizes a method of randomizing the order in which authentication attempts are serviced. The mix design is described in detail and it is shown that this method is more resistant to attack and allows for an explicit tradeoff between anonymity and delay.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"28 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":"130764690","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

Evaluation of the potential of integrating battery electric vehicles into the energy structure of a commercial company 评估将纯电动汽车整合到商业公司能源结构中的潜力

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589541

Johannes Betz, T. Scholz, M. Lienkamp

{"title":"Evaluation of the potential of integrating battery electric vehicles into the energy structure of a commercial company","authors":"Johannes Betz, T. Scholz, M. Lienkamp","doi":"10.1109/SEGE.2016.7589541","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589541","url":null,"abstract":"This paper presents the evaluation of the potential of integrating battery electric vehicles into the energy structure of a commercial company. First, this evaluation is done by analyzing fleet test data of 35 commercial vehicles. The goal is to evaluate how long and how often a commercial vehicle is parked at the company location. Second, smart meter data which was recorded over a period of three years for one commercial company is analyzed. The recorded data displays the time dependent energy flow of energy producers (photovoltaic systems, combined heat and power systems), energy consumers (base load of the company, different household consumers) and energy used to charge a battery electric vehicle. The goal is to evaluate the potential of a technically and economically rewarding integration of battery electric vehicles in commercial companies. The energy used to charge the electric vehicles will be evaluated to define the degree of integration into the total energy structure. It will be compared to the total energy within the system to determine the potential of enhancing profitability while charging. Furthermore those results will be compared to an exemplary private household (smart home).","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"82 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":"129176161","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

Evaluating demand response in the presence of solar PV: Distribution grid perspective 评估太阳能光伏发电的需求响应:配电网的视角

2016 IEEE Smart Energy Grid Engineering (SEGE) Pub Date : 2016-08-01 DOI: 10.1109/SEGE.2016.7589558

Sarmad Hanif, Tobias Massier, T. Hamacher, T. Reindl

{"title":"Evaluating demand response in the presence of solar PV: Distribution grid perspective","authors":"Sarmad Hanif, Tobias Massier, T. Hamacher, T. Reindl","doi":"10.1109/SEGE.2016.7589558","DOIUrl":"https://doi.org/10.1109/SEGE.2016.7589558","url":null,"abstract":"Flexible load operators are particularly interested in monetary transactions of demand response (DR). However, the integration of the DR scheme into the distribution network results in modification of power flows, which has to be managed by the distribution system operator (DSO). Hence, a coordination must be achieved between these two entities to comply with their individual constraints and objectives. With the integration of highly distributed and variable renewable energy, achieving this coordination becomes an even more important task. In this paper, an optimization-based generic model is presented for evaluating DR in the presence of solar photovoltaic (PV) and flexible loads. The integrated optimal pricing methodology is obtained from the developed framework, which takes into account operational conditions of the distribution grid and flexible loads. The economic and operational efficiency of the DR strategy is evaluated in the presence of (1) various pricing structures and (2) available network topologies. Case studies are performed using a validated building model and actual solar irradiation measurements on a benchmark distribution network. For comparison, liberalized market settings of the National Electricity Market of Singapore (NEMS) are adopted in this paper.","PeriodicalId":222683,"journal":{"name":"2016 IEEE Smart Energy Grid Engineering (SEGE)","volume":"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":"129495528","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