2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)最新文献

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District Heating Energy Generation Optimisation Considering Thermal Storage 考虑蓄热的区域供热发电优化
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499509
Jonathan Reynolds, M. Ahmad, Y. Rezgui
{"title":"District Heating Energy Generation Optimisation Considering Thermal Storage","authors":"Jonathan Reynolds, M. Ahmad, Y. Rezgui","doi":"10.1109/SEGE.2018.8499509","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499509","url":null,"abstract":"Modern, decentralised, multi-energy vector districts have great potential to reduce energy consumption and emissions. However, due to the complex nature of these systems, they require intelligent management to maximise their benefit. Therefore, this paper models the energy generation of a district heating plant for the purpose of hourly, operational optimisation. Crucially, non-linear, part-load efficiency curves, and minimum load percentages are included in the energy generation modelling as well as thermal energy storage. Due to the non-linearities, a genetic algorithm, optimisation approach was utilised. The optimisation framework was applied to a case study district with three distinct thermal energy generation sources, a gas CHP, gas boilers, and biomass boilers. The optimisation controlled the load percentage of each technology as well as varying thermal storage capacity to minimise the cost of meeting the heat demand. The study found that compared to the current, rule-based approach, the optimisation achieved a significant cost saving of 12.7% without any thermal storage. As the thermal storage capacity was increased the potential cost saving was also shown to increase proportionally to 22.6% with 1000 kWh of storage.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121262410","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
Time Domain Voltage Unbalance Index Based on Second Order Voltage Tensor Theory 基于二阶电压张量理论的时域电压不平衡指标
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499508
J. Cormane
{"title":"Time Domain Voltage Unbalance Index Based on Second Order Voltage Tensor Theory","authors":"J. Cormane","doi":"10.1109/SEGE.2018.8499508","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499508","url":null,"abstract":"This paper proposes an alternative index capable of evaluate voltage unbalance in time domain. The proposed index it’s called voltage unbalance level (VUL) and makes use of the second order voltage tensor theory in order to assess voltage unbalance. A correlation between VUL and the voltage unbalance factor (VUF) is exposed for unbalances on magnitude and phase angle. The mathematical foundations of this theory and a behavior analysis of both indexes are also presented in this study.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127166873","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
Design Concept of Thermal Behavior Condition Monitoring of Distributed Energy Resources Network System with ZigBee and GSM Technology in Remote and Rural Areas 基于ZigBee和GSM技术的偏远农村分布式能源网络系统热行为状态监测设计构想
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499502
E. K. Payne, Lu Shulin, Qian Wang, Licheng Wu
{"title":"Design Concept of Thermal Behavior Condition Monitoring of Distributed Energy Resources Network System with ZigBee and GSM Technology in Remote and Rural Areas","authors":"E. K. Payne, Lu Shulin, Qian Wang, Licheng Wu","doi":"10.1109/SEGE.2018.8499502","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499502","url":null,"abstract":"This paper is presented as a proposal to improve distributed energy resources (DERs) network condition performance through system state data monitoring and prompting. Monitoring thermal behavior of DERs network is to explore the dualism between heat effect and Electrical power flow phenomena. This is crucial to determine the dynamic rating of the system’s ability to perform according to the designed current carrying capacity. It will minimize constraints development due to thermal effect in distribution networks. System operators are been informed of adverse thermal behavior through ZigBee and GSM configured technology. LM35 temperature sensors are employed to sense the temperatures of distribution cables, thermal condition of storage facilities, protection control devices and that of Solar PV irradiation and Wind turbine. The outputs are then fed into the input of ATMEGA328P microcontroller for further processing, coordinating and then transmitted through ZigBee and GSM platform to be displayed on LCD screen under normal condition. Where there is an anticipation of abnormal condition, the sensor communicates with the microcontroller to trigger an alarm of the impending condition. This sends GSM activation SMS text to the remote monitor to alert operators. NI Multisim software is used for development of the Electrical circuit. The proposed design concept will remotely monitor thermal conditions as predictive system tool for DERs network application to mitigate power flow losses.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122952042","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
Mitigation of Blackhole Attacks and Wormhole Attacks in Wireless Sensor Networks Using AODV Protocol 利用AODV协议缓解无线传感器网络中的黑洞攻击和虫洞攻击
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499473
Taranpreet Kaur, Rajeev Kumar
{"title":"Mitigation of Blackhole Attacks and Wormhole Attacks in Wireless Sensor Networks Using AODV Protocol","authors":"Taranpreet Kaur, Rajeev Kumar","doi":"10.1109/SEGE.2018.8499473","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499473","url":null,"abstract":"The Denial of service is a well-known security concern in wireless sensor networks. Although ZigBee protocol is designed by considering the security and lower battery consumption, still wireless sensor networks are vulnerable to so many denials of service attack, especially when nodes are deployed in the unattended environment. The attacker utilizes the vulnerabilities to launch, many Denial of Service Attacks in wireless sensor networks. In this paper, various approaches to defend from Denial of service attacks are described and an approach for detection and defending from both black-hole attack and worm-hole attack is proposed. The proposed methodology is less complex and easy to implement, also consumes less battery power, hence enhances network lifetime.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129680070","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: 16
Nonlinear Capacitors Power Dissipation and its Graphical Visualization 非线性电容器的功耗及其图形化
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499495
Tarek Mahmoud Samy
{"title":"Nonlinear Capacitors Power Dissipation and its Graphical Visualization","authors":"Tarek Mahmoud Samy","doi":"10.1109/SEGE.2018.8499495","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499495","url":null,"abstract":"This is a brief review paper on nonlinear capacitors and how it may have a major difference in energy dissipation when Compared with linear capacitors. In this paper we will discuss the energy dissipation difference between nonlinear and linear capacitors and apply the Graphene capacitor C-V curve as an example and its expected power dissipation then we will discuss other nonlinear capacitors dissipation","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132104538","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
Social Networking and Consumer Preference Based Power Peak Reduction for Safe Smart Grid 基于社交网络和消费者偏好的安全智能电网降峰
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499499
Shen Wang, Peng Zhang, Jun Wu, Yutao Zhang
{"title":"Social Networking and Consumer Preference Based Power Peak Reduction for Safe Smart Grid","authors":"Shen Wang, Peng Zhang, Jun Wu, Yutao Zhang","doi":"10.1109/SEGE.2018.8499499","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499499","url":null,"abstract":"Efficient power peak reduction is a classic scheduling target to make smart grid more safe. To handle multiple energy consumers, energy management are usually built based on game theory. Despite their effectiveness, they do not consider consumer preferences, which are however important in developing salient scheduling frameworks. This work explores consumer preference based social networking in computing optimized schedules to facilitate the incorporation in energy management. We propose the consumer preference driven intelligent energy management technique for smart cities using game theoretic social tie. In our technique, social communities are constructed based on the preference of electricity usage. Community pricing strategy is adjusted during each time period through leveraging cooperative game theory. The simulation results demonstrate the effectiveness and efficiency of the proposed intelligent energy management technique.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133906834","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
Hybrid Planning Tool for Solar and Battery Systems in Ontario 安大略省太阳能和电池系统的混合规划工具
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499437
Christopher Rockx, J. Tate, E. Rogers
{"title":"Hybrid Planning Tool for Solar and Battery Systems in Ontario","authors":"Christopher Rockx, J. Tate, E. Rogers","doi":"10.1109/SEGE.2018.8499437","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499437","url":null,"abstract":"There is increasing momentum for behind-the-meter renewable generation and storage installations due to an increased focus on limiting the environmental impact of electricity generation. Local energy policy influences the sizing and financial viability of these systems while also serving to promote the smart uptake of these technologies on the electricity grid. This paper proposes a methodology for optimal infrastructure sizing of small-scale solar photovoltaic generation and battery energy storage technologies required to become grid neutral under a net metering energy contract. A robust linear programming model is proposed, and probabilistic robustness guarantees are provided by manipulating the magnitude and frequency of uncertainty realizations using a budget of uncertainty approach. A practical test case is performed in Toronto, Ontario, and the results reveal that a 99% robustness guarantee requires additional infrastructure capital costs of $6,700 (26%) over the purely deterministic scenario investment of $25,700. Furthermore, it is shown that the net metering policy does not provide sufficient financial inventive to Ontario homeowners, and project costs exceed benefits by between $4,400 and $9,200 depending on robustness. Finally, Ontario net metering policy in its current form does not incentivize energy storage, and instead relies on the electricity grid as a free and lossless storage device—a practice which is likely unsustainable. Future work is available to enhance the existing methodology or leverage the proposed methodology for application to new fields of research.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132937728","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
Simulation of Line-Commutated Rectifier Systems Using Fixed Time-Step without Zero-Crossing Events 无过零事件的固定时间步长线整流系统仿真
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499446
S. Ebrahimi, Navid Amiri, J. Jatskevich, Liwei Wang
{"title":"Simulation of Line-Commutated Rectifier Systems Using Fixed Time-Step without Zero-Crossing Events","authors":"S. Ebrahimi, Navid Amiri, J. Jatskevich, Liwei Wang","doi":"10.1109/SEGE.2018.8499446","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499446","url":null,"abstract":"Line-commutated rectifiers (LCRs) are widely used in many industrial applications and electronic loads. For analysis and simulation of power systems that include many switching converters, numerically efficient and accurate models of rectifiers are needed. The detailed switching models of LCRs in traditional electromagnetic transient (EMT) simulation programs (either state-variable-based or EMTP-type) require special handling of switching events (i.e., interpolation and/or use of small time-steps for zero crossing detection), which results in increased computational complexity. This paper presents the recently developed generalized parametric average-value model (GPAVM) of LCRs that is capable of predicting the ac harmonics of interest with good accuracy while using fairly large fixed time-steps without the need for handling the zero-crossing events. This feature represents an advantage over the established methods and may be utilized for more efficient simulation of power systems with many rectifier loads.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133704872","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
Using DDS Based on Unified Data Model to Improve Interoperability of Smart Grids 基于统一数据模型的DDS提高智能电网的互操作性
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499513
Alaa S. Alaerjan, Dae-Kyoo Kim, Hua Ming, K. Malik
{"title":"Using DDS Based on Unified Data Model to Improve Interoperability of Smart Grids","authors":"Alaa S. Alaerjan, Dae-Kyoo Kim, Hua Ming, K. Malik","doi":"10.1109/SEGE.2018.8499513","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499513","url":null,"abstract":"The connectivity of power domains is a key factor for realizing a smart grid. Different power domains in smart grid (SG) involves various types of applications and devices each of which comes with its own requirements. In addition, different communication protocols and data models have been already proposed to address those requirements. Due to the differences in communication technologies, interoperability challenges have been raised in SG. Interoperability issues not only deteriorate the connectivity of different domains, but also compromise the potentials of data sharing in SG. The Data Distribution Service (DDS) has emerged as a possible solution since it supports different features such as transport configuration and dynamic discovery mechanism. In this paper, we describe how DDS can be used to address both data interoperability and protocol interoperability in SG. We first describe interoperability issues in SG and then describe the use of a unified data model with DDS and configuring DDS for TCP/IP and UDP/IP. We also implement the configurations and present the results of the implementations for comparative analysis.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124339900","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
Forecasting and Evaluation Electricity Loss in Thailand via Flower Pollination Extreme Learning Machine Model 基于传粉极限学习机模型的泰国电力损失预测与评估
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499301
Sarunyoo Boriratrit, Wachira Tepsiri, Arthitaya Krobnopparat, Nongnooch Khunsaeng
{"title":"Forecasting and Evaluation Electricity Loss in Thailand via Flower Pollination Extreme Learning Machine Model","authors":"Sarunyoo Boriratrit, Wachira Tepsiri, Arthitaya Krobnopparat, Nongnooch Khunsaeng","doi":"10.1109/SEGE.2018.8499301","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499301","url":null,"abstract":"In many developed countries analyzed and evaluated Loss electricity by using Machine Learning to improve the best solution in forecasting. In Thailand, Provincial Electricity Authority was analyzed in both of technical loss and nontechnical loss to handle the critical situation which could be consequences. In this research, Loss electricity forecasting was studied and analyzed with Machine Learning and Evolutionary Computational for high accuracy when forecasting by using Extreme Learning Machine merged with Flower Pollination Algorithm to find the best solution and use in the real-world. Experiment results show that average of Root Mean Square Error of the proposed model compared with actual data of North, Northeast, Center and South loss electricity datasets from November to December 2017 were 0.5963.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116858142","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
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