2015 Smart Grid Conference (SGC)最新文献_第2页

Introducing a new approach to improve demand response pricing for industrial customers in Iran 引入一种新方法来改善伊朗工业客户的需求响应定价

2015 Smart Grid Conference (SGC) Pub Date : 2015-12-01 DOI: 10.1109/SGC.2015.7857415

Sara Mollaee Vaneghi, M. Mashhadi, M. Barazesh

引用次数: 4

Smart scheduling and economic analysis of electric vehicles for peak load shaving considering renewable energy resources 考虑可再生能源的电动汽车调峰智能调度及经济性分析

2015 Smart Grid Conference (SGC) Pub Date : 2015-12-01 DOI: 10.1109/SGC.2015.7857420

Ramin Ahmadi Kordkheili, M. Mohammadi

引用次数: 6

Optimal sizing of distributed energy storage in distribution systems 配电系统中分布式储能的最优规模

2015 Smart Grid Conference (SGC) Pub Date : 2015-12-01 DOI: 10.1109/SGC.2015.7857391

M. R. K. Gharigh, M. Seydali Seyf Abad, J. Nokhbehzaeem, A. Safdarian

引用次数: 1

Data exchange standardization in a microgrid protection scheme according to the IEC 61850 根据IEC 61850的微电网保护方案的数据交换标准化

2015 Smart Grid Conference (SGC) Pub Date : 2015-12-01 DOI: 10.1109/SGC.2015.7857422

M. Maleki, H. Javadi, M. Khederzadeh, M. Bayrami, S. Farajzadeh

引用次数: 6

Improving load frequency control through PV contribution in a hybrid generation grid 通过光伏发电改善混合电网的负荷频率控制

2015 Smart Grid Conference (SGC) Pub Date : 2015-12-01 DOI: 10.1109/SGC.2015.7857383

M. Tavakoli, J. Adabi, S. Zabihi

引用次数: 8

Effect of electric vehicle load and charging pattern on generation expansion planning 电动汽车负荷和充电方式对扩容规划的影响

2015 Smart Grid Conference (SGC) Pub Date : 2015-12-01 DOI: 10.1109/SGC.2015.7857386

M. Kamran, M. S. Naderi, Mehrdad Mallaki, G. Gharehpetian

引用次数: 5

Modular hierarchical supervisory control for surge avoidance in a gas compressor station 气压站防喘振的模块化分层监控

2015 Smart Grid Conference (SGC) Pub Date : 2015-12-01 DOI: 10.1109/SGC.2015.7857414

Vahid Saeidi, A. Afzalian, D. Gharavian

引用次数: 2

Multi-objective scheduling of electric vehicles considering wind and demand uncertainties 考虑风力和需求不确定性的电动汽车多目标调度

2015 Smart Grid Conference (SGC) Pub Date : 2015-12-01 DOI: 10.1109/SGC.2015.7857421

R. Mehri, M. Kalantar

{"title":"Multi-objective scheduling of electric vehicles considering wind and demand uncertainties","authors":"R. Mehri, M. Kalantar","doi":"10.1109/SGC.2015.7857421","DOIUrl":"https://doi.org/10.1109/SGC.2015.7857421","url":null,"abstract":"In this paper, operation cost and emission in the presence of Electric vehicles (EVs), conventional power plants and renewable energy sources have been evaluated. Also demand and wind speed uncertainties using scenario tree is considered and applied to model. In EVs scheduling problem, drive patterns, electricity prices and batteries have most effect on results. In order to have a real and accurate analysis, it is necessary to get on real drive patterns and electricity prices properly. Several kinds of EVs are introduced which every kind has specific battery. Different cases for EVs and renewable energy sources in a 33 bus distribution test system are considered. Simulation model consist of cost and emission functions that should be minimized. According to nonlinear power flow constraints, multi-objective function is a MINLP problem. GAMS has been selected for solving economic /environmental problem. The ε-constraint method has been used to solve multi-objective optimization problem. Also, the output of this method is pareto optimal solutions. Finally, using membership function, the best solution is selected. The results demonstrate that system operator and EVs owners can benefit from proper charge and discharge.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"22 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116745480","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: 11

Participation of wind turbines in frequency control of a hybrid renewable energy system 风力涡轮机参与混合可再生能源系统的频率控制

2015 Smart Grid Conference (SGC) Pub Date : 2015-12-01 DOI: 10.1109/SGC.2015.7857384

M. Tavakoli, J. Adabi, S. Zabihi

{"title":"Participation of wind turbines in frequency control of a hybrid renewable energy system","authors":"M. Tavakoli, J. Adabi, S. Zabihi","doi":"10.1109/SGC.2015.7857384","DOIUrl":"https://doi.org/10.1109/SGC.2015.7857384","url":null,"abstract":"This paper presents frequency control of a hybrid renewable energy system comprised of wind farms, fuel cell and battery with the main contribution of wind energy conversion system. Wind farm generated power varies by wind speed changes and therefore, high penetration of wind farms into the network decreases the system inertia and causes severe frequency deviation. Due to this fact, it is necessary to involve wind turbines in frequency control structure. The amount of kinetic energy stored in the rotating blades of wind turbines has a significant value, which has to be used in an efficient way to mitigate frequency deviation. On the other hand, adjusting the blade pitch angle is one of the most applicable approaches for regulating aerodynamic torque in wind turbine. Inertia control and direct pitch angle control of the wind turbine are introduced to improve the frequency deviation of the hybrid system. In addition to this, battery energy storage and fuel cell are utilized in order to help the frequency control. Utilization of proposed controls on wind turbines leads to lower size battery requirements that decreases the system cost. Simulation results are presented to analyse time domain behaviour of the mentioned hybrid system.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122360457","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

Optimally operating microgrids in the presence of electric vehicles and renewable energy resources 在电动汽车和可再生能源存在的情况下，优化微电网的运行

2015 Smart Grid Conference (SGC) Pub Date : 2015-12-01 DOI: 10.1109/SGC.2015.7857392

S. M. Mohammadi H.N., S. Heydari, Hamed Mirsaeedi, A. Fereidunian, A. Kian

{"title":"Optimally operating microgrids in the presence of electric vehicles and renewable energy resources","authors":"S. M. Mohammadi H.N., S. Heydari, Hamed Mirsaeedi, A. Fereidunian, A. Kian","doi":"10.1109/SGC.2015.7857392","DOIUrl":"https://doi.org/10.1109/SGC.2015.7857392","url":null,"abstract":"In modern electric power grids, microgrids are utilized in order to improve electric power grids' technical, economical, and environmental performance. In other words, both operator and consumers benefit the gained improvements by microgrids. However, operators confront certain ordeals to plan and operate the specific microgrid. In this paper, Combined Heat and Power (CHP) units, renewable energy resources, auxiliary thermal units and Electric Vehicles (EVs) are taken into consideration as a specific microgrid in California in the United States. Also, stochastic price of gas and electricity is taken into account. Moreover, uncertainty of the output power associated with non-dispatchable units like wind power plants as well as stochastic availability of the EVs adds to the complexity of the problem. The proposed approach plans to minimize total cost associated with the utilities as well as to minimize released emissions into the environment. Hence, the mentioned problem is a Multi-objective Linear Programming (MIP) which is solved using GAMS software. Finally, it has been showed that obtained solution is robust against uncertain parameters since there is just insignificant difference between solutions under this condition compared to condition that stochastic parameters are not modeled.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125450993","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: 12