Perspectives on Future Power System Control Centers for Energy Transition  被引量:3

在线阅读下载全文

作  者:Antoine Marot Adrian Kelly Matija Naglic Vincent Barbesant Jochen Cremer Alexandru Stefanov Jan Viebahn 

机构地区:[1]Reseau de Transport d'Electricite,Paris,France [2]Electric Power Research Institute,Dublin,Ireland [3]TenneT,Amhem,the Netherlands [4]TU Delft,Delft,the Netherlands

出  处:《Journal of Modern Power Systems and Clean Energy》2022年第2期328-344,共17页现代电力系统与清洁能源学报(英文)

摘  要:Today's power systems are seeing a paradigm shift under the energy transition,sparkled by the electrification of demand,digitalisation of systems,and an increasing share of decarbonated power generation.Most of these changes have a direct impact on their control centers,forcing them to handle weather-based energy resources,new interconnections with neighbouring transmission networks,more markets,active distribution networks,micro-grids,and greater amounts of available data.Unfortunately,these changes have translated during the past decade to small,incremental changes,mostly centered on hardware,software,and human factors.We assert that more transformative changes are needed,especially regarding human-centered design approaches,to enable control room operators to manage the future power system.This paper discusses the evolution of operators towards continuous operation planners,monitoring complex time horizons thanks to adequate real-time automation.Reviewing upcoming challenges as well as emerging technologies for power systems,we present our vision of a new evolutionary architecture for control centers,both at backend and frontend levels.We propose a unified hypervision scheme based on structured decision-making concepts,providing operators with proactive,collaborative,and effective decision support.

关 键 词:Artificial intelligence cyber-phvsical system DECISION-MAKING digital architecture digital twin energy transition hypervision. 

分 类 号:TM73[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