Internal Combustion Engine as a New Source for Enhancing Distribution System Resilience  被引量:1

在线阅读下载全文

作  者:Ahad Abessi Shahram Jadid 

机构地区:[1]Department of Electrical Engineering,Iran University of Science and Technology,Tehran,Iran

出  处:《Journal of Modern Power Systems and Clean Energy》2021年第5期1130-1136,共7页现代电力系统与清洁能源学报(英文)

摘  要:Enhancing distribution system resilience is a new challenge for researchers.Supplying distribution loads,especially the residential customers and high-priority loads after disasters,is vital for this purpose.In this paper,the internal combustion engine(ICE)vehicles are firstly introduced as valuable backup energy sources in the aftermath of disasters and the use of this technology is explained.Then,the improvement of distribution system resilience is investigated through supplying smart residential customers and injecting extra power to the main grid.In this method,it is assumed that the infrastructure of distribution system is partially damaged(common cases)and it can be restored in less than one day.The extra power of residential customer can be delivered to other loads.A novel formulation for increasing the injected power of the smart home to the main grid using ICE vehicles is proposed.Moreover,the maximum backup duration in case of extensive damages in the distribution system is calculated for some commercial ICE vehicles.In this case,the smart home cannot deliver extra energy to the main grid because of its survivability.Simulation results demonstrate the effectiveness of the proposed method for increasing backup power during power outages.It is also shown that ICE vehicles can supply residential customers for a reasonable amount of time during a power outage.

关 键 词:Internal combustion engine(ICE) smart home building energy management system(BEMS) distribution system resilience 

分 类 号:TU852[建筑科学] TM727[电气工程—电力系统及自动化]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象