电力系统自动化2018，Vol.42Issue(4)：165-173,9.DOI:10.7500/AEPS20170903002
考虑多能耦合及品位差异的含储能微网可靠性评估
Reliability Evaluation of Microgrid Containing Energy Storage System Considering Multi-energy Coupling and Grade Difference
摘要
Abstract
With the development of Energy Internet and the deepening of energy interaction,the multi-energy coupling system makes higher demands of the energy supply reliability.Therefore,to quantify the coupling logic relationship among different energy sources,the comprehensive reliability evaluation method is urgent to be studied.Aiming at the problem that the traditional reliability evaluation method is difficult to effectively evaluate the energy supply reliability of the multi-energy coupling system,the multi-energy microgrid is taken as the research obj ect firstly.The physical model of typical microgrid is constructed based on the energy hub model.Secondly,the state model of equipment components and the evaluation index of the reliability of multi-energy microgrid are established.The operation mechanism and the time sequence models of multi-energy microgrid are analyzed.The evaluation model of two kinds of typical operating mode which are grid-connected and electric-isolated are established by combining the Monte Carlo simulation with the failure mode and effect analysis method, respectively.The assessment process is also put forward.Finally,a practical example is given to evaluate the annual reliability indices of multi-energy microgrid and the reliability of the pre-arranged outage in the typical period of the typical scenario,and the availability and practicability of the proposed method are verified.关键词
综合能源微网/能源集线器/可靠性/蒙特卡洛模拟法/故障模式影响分析法Key words
multi-energy microgrid/energy hub/reliability/Monte Carlo simulation/failure mode and effect analysis method引用本文复制引用
葛少云,李吉峰,刘洪,王莹,孙昊,路志英..考虑多能耦合及品位差异的含储能微网可靠性评估[J].电力系统自动化,2018,42(4):165-173,9.基金项目
国家重大科学仪器设备开发专项项目(2013YQ03091510) （2013YQ03091510）
国家自然科学基金资助项目(51777133).This work is supported by National Major Scientific Instrument Equipment Development Project(No.2013YQ03091510)and National Natural Science Foundation of China(No.51777133). （51777133）
