基于粒子群-内点混合优化算法的区域综合能源系统可靠性评估  

Reliability Evaluation of Integrated Community Energy System Based on Particle-Swarm-Interior-Point Hybrid Optimization Algorithm

作　　者：张弛[1] 唐庆华[1] 严玮[1] 魏菊芳[1] 侯恺[2] 王越[2] 何哲 

机构地区：[1]国网天津市电力公司电力科学研究院,天津市300384 [2]智能电网教育部重点实验室(天津大学),天津市300072

出　　处：《电力建设》2017年第12期104-111,共8页Electric Power Construction

基　　金：国家自然科学基金项目(51707129;51625702;51677124);国家高技术研究发展计划项目(863计划)(2015AA050403)~~

摘　　要：区域综合能源系统(integrated community energy system,ICES)的发展将电、气、热等能源联系得更加紧密。文章在能源集线器模型基础上,结合蒙特卡洛系统状态抽样方法,提出了一种基于粒子群-内点混合优化算法的区域综合能源系统可靠性评估算法。该算法通过结合粒子群算法和内点法的优劣势互补,可较准确计算目标区域综合能源系统可靠性量化指标。之后详细分析了可再生能源渗透率对区域综合能源系统可靠性的影响。With the development of integrated community energy system（ ICES）,the relationship among electrical,gas and thermal systems is becoming tighter and tighter. Based on the energy hub model and sampling technique on system status using Monte Carlo simulation,this paper proposes the particle sw arm optimization（ PSO）-inner point algorithm to assess ICES＇s reliability. By applying the advantages of PSO and inner-point method,the proposed algorithm assesses ICES ＇s reliability with better accuracy. Moreover,this paper analyzes the impact of renew able energy penetration level on ICES ＇s reliability in detail.

关 键 词：区域综合能源系统(ICES) 可靠性评估 能源集线器 可再生能源渗透率 

分 类 号：TM73[电气工程—电力系统及自动化]