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Adaptive Backstepping Design for Stabilizing Synchronverter Control Topology in AC Microgrids 交流微电网中稳定同步器控制拓扑的自适应反演设计
2019 Smart Grid Conference (SGC) Pub Date : 2019-12-01 DOI: 10.1109/SGC49328.2019.9056581
Mobin Naderi, Yousef Khayat, Sharara Rehimi, Y. Batmani, Q. Shafiee, H. Bevrani
{"title":"Adaptive Backstepping Design for Stabilizing Synchronverter Control Topology in AC Microgrids","authors":"Mobin Naderi, Yousef Khayat, Sharara Rehimi, Y. Batmani, Q. Shafiee, H. Bevrani","doi":"10.1109/SGC49328.2019.9056581","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056581","url":null,"abstract":"This paper focuses on designing an adaptive Backstepping controller for the nonlinear structure of Synchronverters used for emulating the virtual inertia in AC microgrids. Synchronverter control technique for the inverter-based generation units is a well-known method within the virtual inertia generating approaches, which is introduced briefly. Its nonlinear behaviour leads to probable instability during transients, e.g. microgrid islanding. Adaptive control methods such as Backstepping design can cope with such nonlinear systems and avoid instability. The model of a generation unit controlled by the Synchronverter technique is found and an ancillary adaptive controller is designed to stabilize the unit performance using the Backstepping method. The simulations are done in MATLAB/SIMULINK and the results show the improved performance of the Synchronverter supported by the proposed adaptive controller.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"318 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122362540","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
A Multiport Cascade Boost-buck Converter for IDCPFC Application in Multi-terminal HVDC System 用于IDCPFC的多端口级联升压变换器在多端高压直流系统中的应用
2019 Smart Grid Conference (SGC) Pub Date : 2019-12-01 DOI: 10.1109/SGC49328.2019.9056623
A. Ghasemi, M. Akhbari, G. Gharehpetian
{"title":"A Multiport Cascade Boost-buck Converter for IDCPFC Application in Multi-terminal HVDC System","authors":"A. Ghasemi, M. Akhbari, G. Gharehpetian","doi":"10.1109/SGC49328.2019.9056623","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056623","url":null,"abstract":"By growing renewable energy resources, the application of multi-terminal DC (MTDC) grids has been increased. Power flow management is one of the most important challenges which DC grids face in developing. DC power flow controllers (DCPFC) provide an appropriate solution to encounter with this challenge. This paper proposes a multiport cascade boost-buck converter (MCBBC) as an interline dc power flow controller with reduced number of switches and then evaluates the control performance of balancing and regulating the DC branch currents. A master-slave control strategy has been applied to the proposed MCBBC to appropriate performance. The control strategy has features that enable the proposed converter circuit to be developed as an N-port IDCPFC. In addition, the voltage regulation control approach is utilized to ensure the bus voltage regulation and it provides DC power flow control within the MTDC grid. To evaluate the performance of the MCBBC and the proposed control strategies, a 3-terminal DC grid have been considered. The simulation results, obtained through the MATLAB/Simulink software.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131162344","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
Hardening Strategy to Boost Resilience of Distribution Systems via Harnessing a Proactive Operation Model 强化战略，通过利用积极主动的运营模式来提高配电系统的弹性
2019 Smart Grid Conference (SGC) Pub Date : 2019-12-01 DOI: 10.1109/SGC49328.2019.9056585
Babak Taheri, A. Jalilian, A. Safdarian
{"title":"Hardening Strategy to Boost Resilience of Distribution Systems via Harnessing a Proactive Operation Model","authors":"Babak Taheri, A. Jalilian, A. Safdarian","doi":"10.1109/SGC49328.2019.9056585","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056585","url":null,"abstract":"Nowadays, large-scale power outages induced by ever-growing natural disasters are increasing at a galloping rate. In this regard, this paper aims at improving the resilience of power distribution systems in facing high impact low probability (HILP) events in the planning phase of the system. To this end, optimal switch placement along with the optimal distribution line hardening strategies is proposed to mitigate the repercussions of the natural calamities. So, decreasing the failure probability of the distribution lines alongside the optimal placement of remote-controlled switches (RCSs) to increase the maneuvering capability of the system, the system operator would be able to strengthen the system and cope with disastrous events. To do so, in this paper, a proactive strategy is used to simulate the operation of the system in confronting the HILP events. The proposed model implemented on a real 47-bus power distribution system and the efficacy of the model is approved by the simulation results in enhancing the resilience level of the system.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131064283","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
Enhancing Smart Grid Cyber-Security Using A Fuzzy Adaptive Autonomy Expert System 利用模糊自适应自治专家系统增强智能电网网络安全
2019 Smart Grid Conference (SGC) Pub Date : 2019-12-01 DOI: 10.1109/SGC49328.2019.9056611
M. Khosravi, A. Fereidunian
{"title":"Enhancing Smart Grid Cyber-Security Using A Fuzzy Adaptive Autonomy Expert System","authors":"M. Khosravi, A. Fereidunian","doi":"10.1109/SGC49328.2019.9056611","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056611","url":null,"abstract":"Smart Grid cyber-security sounds to be a critical issue, because of widespread development of information technology. To achieve secure and reliable operation, the complexity of human automation interaction (HAI) necessitates more sophisticated and intelligent methodologies. In this paper, an adaptive autonomy fuzzy expert system is developed using gradient descent algorithm to determine the Level of Automation (LOA), based on the changing of Performance Shaping Factors (PSF). These PSFs indicate the effects of environmental conditions on the performance of HAI. The major advantage of this method is that the fuzzy rule or membership function can be learnt without changing the form of the fuzzy rule in conventional fuzzy control. Because of data shortage, Leave-One-Out Cross-Validation (LOOCV) technique is applied for assessing how the results of proposed system generalizes to the new contingency situations. The expert system database is extracted from superior experts' judgments. In order to regard the importance of each PSF, weighted rules are also considered. In addition, some new environmental conditions are introduced that has not been seen before. Nine scenarios are discussed to reveal the performance of the proposed system. Results confirm that the presented fuzzy expert system can effectively calculates the proper LOA even in the new contingency situations.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121042166","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
[Copyright notice] (版权)
2019 Smart Grid Conference (SGC) Pub Date : 2019-12-01 DOI: 10.1109/sgc49328.2019.9056616
{"title":"[Copyright notice]","authors":"","doi":"10.1109/sgc49328.2019.9056616","DOIUrl":"https://doi.org/10.1109/sgc49328.2019.9056616","url":null,"abstract":"","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126320817","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
Unsupervised Learning for Distribution Grid Line Outage and Electricity Theft Identification 无监督学习方法在配电网停电和窃电识别中的应用
2019 Smart Grid Conference (SGC) Pub Date : 2019-12-01 DOI: 10.1109/SGC49328.2019.9056579
M. Soleymani, A. Safdarian
{"title":"Unsupervised Learning for Distribution Grid Line Outage and Electricity Theft Identification","authors":"M. Soleymani, A. Safdarian","doi":"10.1109/SGC49328.2019.9056579","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056579","url":null,"abstract":"The development of smart meters enables situational awareness in electric power distribution systems. The situational awareness provides significant advantages such as line outage and electricity theft detection. This paper aims at using smart meter data to detect these anomalies. To do so, an appropriate cluster-based method as an unsupervised machine learning approach is applied. A stochastic method based on conditional correlation is also proposed to localize the anomalies. It is shown that this can be done by detecting changes in bus connections using present and historical smart meter data. Therefore, network topology inspection can be avoided if the proposed method is applied. A complex mesh grid is used to demonstrate performance of the data-driven anomaly detection approach. The results show that determining the right value of hyper-parameter and adequate features extraction leads to acceptable accuracy.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116508868","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
Optimal power scheduling in the presence of renewable resources and energy storage systems considering demand response 考虑需求响应的可再生能源和储能系统的最优电力调度
2019 Smart Grid Conference (SGC) Pub Date : 2019-12-01 DOI: 10.1109/SGC49328.2019.9056628
A. Nikzad, S. Afsharnia
{"title":"Optimal power scheduling in the presence of renewable resources and energy storage systems considering demand response","authors":"A. Nikzad, S. Afsharnia","doi":"10.1109/SGC49328.2019.9056628","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056628","url":null,"abstract":"The expansion of microgrids has increased the use of renewable energy sources. Since the power generation of these resources, as well as the load consumption of the consumers, are prone to the uncertainty, scenario generation method is used in order to consider different modes of generation and load consumption. Renewable energy sources, energy storage systems and responsive loads are suitable tools for reducing the power generation of fossil fuel units, which, in addition to high costs, produce environmental pollutants. To solve the AC power flow and see the effects of demand response programs on system losses, it is necessary to linearize the micro-grid constraints. This paper attempts to reduce the amount of consumption at peak hours by using time-based and incentive-based demand response programs with the help of shifting the load used in peak to off-peak hours or reducing the peak load in return for paying rewards to consumers.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125494817","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
Counteracting GPS Spoofing Attack on PMUs by Dynamic State Estimation 基于动态估计的pmu对抗GPS欺骗攻击
2019 Smart Grid Conference (SGC) Pub Date : 2019-12-01 DOI: 10.1109/SGC49328.2019.9056583
Sara Siamak, M. Dehghani, Mohsen Mohammadi
{"title":"Counteracting GPS Spoofing Attack on PMUs by Dynamic State Estimation","authors":"Sara Siamak, M. Dehghani, Mohsen Mohammadi","doi":"10.1109/SGC49328.2019.9056583","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056583","url":null,"abstract":"The GPS is vulnerable to GPS spoofing attack, which leads to disorder in time and position results of the GPS receiver. In power grids, phasor measurement units (PMUs) use GPS to build time-tagged measurements, so they are susceptible to this attack. As a result of this attack, sampling time and phase angle of the PMU measurements change. This paper presents a dynamic estimator to counteract the GPS spoofing attack. In this approach, the phase angle differences that result from multiple GPS spoofing attacks are estimated online, and the spoofed measurements are corrected. Since in the literature, most researches are devoted to static GPS spoofing attack detection, the proposed approach results are compared to the results of two recent static methods. Numerical results demonstrate the superiority of the proposed method in dealing with the attack compared to previous approaches.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124975936","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
Investigating the Impacts of Microgrids and Gas Grid Interconnection on Power Grid Flexibility 微电网和燃气并网对电网灵活性的影响研究
2019 Smart Grid Conference (SGC) Pub Date : 2019-12-01 DOI: 10.1109/SGC49328.2019.9056629
F. Kamrani, S. Fattaheian‐Dehkordi, A. Abbaspour, M. Fotuhi‐Firuzabad, M. Lehtonen
{"title":"Investigating the Impacts of Microgrids and Gas Grid Interconnection on Power Grid Flexibility","authors":"F. Kamrani, S. Fattaheian‐Dehkordi, A. Abbaspour, M. Fotuhi‐Firuzabad, M. Lehtonen","doi":"10.1109/SGC49328.2019.9056629","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056629","url":null,"abstract":"The introduction of microgrids (MGs) and renewable energy sources (RESs) has caused significant shifts in the operation of power systems. Despite many benefits, integration of RESs has emerged new issues in the power systems operation. One of the issues recently raised by some utilities, is the severe ramps which are seen in systems with high penetration of RES. On the other hand, the traditional flexible power plants could not provide the ramp required in these systems. As a result, flexible local resources in independent entities like MGs should be employed to tackle this issue in these systems. In this paper, a novel model is developed to investigate the effects of MGs and gas grid interconnection on the flexibility of the power grid. Finally, the proposed model is analyzed in different case studies to show the importance of power-gas-power system in an MG from the economic, flexibility and reliability perspectives.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131411580","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
An Innovative Method For Route Mapping of Battery Electric Vehicles 一种创新的纯电动汽车路径映射方法
2019 Smart Grid Conference (SGC) Pub Date : 2019-12-01 DOI: 10.1109/SGC49328.2019.9056578
Arian Shahkamrani, Hossein Askarian‐Abyaneh, H. Nafisi, A. Khorsandi, M. Marzband
{"title":"An Innovative Method For Route Mapping of Battery Electric Vehicles","authors":"Arian Shahkamrani, Hossein Askarian‐Abyaneh, H. Nafisi, A. Khorsandi, M. Marzband","doi":"10.1109/SGC49328.2019.9056578","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056578","url":null,"abstract":"Route mapping is a useful method to save time for drivers, but for electric vehicles (EVs), electrical energy saving should also be considered. In this paper, a novel approach to the route mapping of battery electric vehicles (BEVs) is proposed. The objective of this approach is to simultaneously optimize the total electrical energy consumption and travel time of the BEVs driving on a path. Four factors (vehicle speed, road grade, ambient temperature, and wind speed) are considered for the electrical energy management of BEVs. An artificial neural network (ANN) is used to correct the real-time speed data. Evaluation of the proposed approach is performed on a large part of Kowloon city and is implemented by MATLAB. It was found that using this approach, reduces the total electrical energy consumption and travel time of BEVs, as well as improving their lifespan.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"617 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116400042","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
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