智能配用电园区低碳效益仿真与评价系统及其在江西的应用  被引量:12

Low-carbon benefit simulation and evaluation system for smart distribution grid and its application in Jiangxi Province

在线阅读下载全文

作  者:辛建波[1] 范瑞祥[1] 郑蜀江[1] 赵唯嘉 周天睿[2] 

机构地区:[1]江西省电力科学研究院,江西南昌330006 [2]电力系统国家重点实验室,清华大学电机系,北京100084

出  处:《电力系统保护与控制》2014年第7期86-90,共5页Power System Protection and Control

基  金:国家自然科学基金资助项目(51107059);国家电网公司科技项目(52182012Y00J);国家科技支撑计划项目(2013BAA01B01)~~

摘  要:电力系统的碳排放监测与统计是电力行业低碳化发展的基础性工作。现有的电力系统碳排放的计算方法大多停留在理论层面,与实际工程的结合亟待提高。在江西共青城的智能电网示范工程中建立了较为全面的低碳效益仿真与评价系统。从共青城智能电网示范工程出发,介绍了低碳效益仿真与评价系统的应用对象和目标:介绍了低碳效益仿真与评价系统的总体构架,结合系统界面图从碳排放在线监测、低碳规划仿真对比、规划方案的效益分析三个方面介绍了低碳效益仿真与评价系统的具体功能,并展示了系统对示范工程各类效益的仿真计算结果。最后对低碳效益仿真与评价系统的应用价值和发展空间进行了展望。CO2 emission monitoring and calculating of power system is fundamental for low-carbon development of electric power industry. Current calculating and analysis methods for CO2 emission from power system are mostly theoretical. The application of CO2 emission monitoring and analysis in existing projects is scarce. In Gongqing city of Jiangxi province, a comprehensive low-carbon benefit simulation and evaluation system is established in the smart grid demonstration project. In this paper, application of low-carbon benefit simulation and evaluation system is introduced based on this demonstration project. On the basis of overview of demonstration project and overall framework of low-carbon benefit simulation and evaluation system, specific functions are introduced in terms of CO2 emission on-line monitoring, low-carbon planning simulation and comparison, and low-carbon planning benefit analysis. Moreover, benefits derived from demonstration project under different cases are shown, which are calculated by that system. Finally, prospects of application value of low-carbon benefit simulation and evaluation system are discussed.

关 键 词:低碳电力 智能电网 低碳效益仿真与评价 碳排放流 

分 类 号:TM743[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