电力系统自动化2017，Vol.41Issue(21)：55-61,7.DOI:10.7500/AEPS20170615005
高比例可再生能源接入的输电网结构适应性指标及评估方法
Adaptability Index and Evaluation Method for Power Transmission Network Structure with Integration of High-penetration Renewable Energy
摘要
Abstract
High-penetration renewable energy system and AC/DC hybrid network are two main basic characteristics of future power systems.Evaluating different network's structure adaptability,especially for AC/DC hybrid network,is extremely important for power system to keep economical,safe,reliable and flexible when renewable energy and load both have an increasing trend of uncertainty.However,it is very difficult to evaluate the adaptability quantitatively,so that new indexes considering high-penetration are badly needed.First,this paper analyzes the basic characteristic of network structure and gives the definition of adaptability in the background of strong randomness.Then several probable indexes of structure adaptability are proposed based on the basic characteristic of adaptability.After that,a practical calculation method is put forward,which uses the Monte Carlo simulation and the optimal economic model.Finally,by using the IEEE 30-bus system as the basic network frame,an AC network and an AC/DC hybrid network are respectively evaluated,and different influencing factors of adaptability are researched to find the change regulation.The examples prove that the adaptability index can effectively reflect the adaptability of different transmission network structures with high-proportion renewable energy integration.关键词
高比例可再生能源/交直流混联电网/电网结构适应性/蒙特卡洛模拟算法Key words
high-penetration renewable energy/AC/DC hybrid network/adaptability of network structure/Monte Carlo simulation algorithm引用本文复制引用
张程铭,程浩忠,柳璐,王峥,陆建忠,张啸虎..高比例可再生能源接入的输电网结构适应性指标及评估方法[J].电力系统自动化,2017,41(21):55-61,7.基金项目
国家重点研发计划资助项目(2016YFB0900100) （2016YFB0900100）
国家自然科学基金重点项目(513370005).This work is supported by National Key Research and Development Program of China(No.2016YFB0900100) and State Key Program of National Natural Science Foundation of China(No.51337005). （513370005）
