摘要
考虑季节和系统风险,设计3个情景,将两阶段随机规划、模糊随机规划以及随机鲁棒优化方法,分季节和系统风险多情景设置发电目标,以系统成本为模型目标,以电力供需平衡。电网交易、区域限制、污染物排放为约束条件,建立绿色电力规划模型进行研究,得到乌鲁木齐区域的分布式发电的优化配置,可为在乌鲁木齐推进绿色能源及能源发展提供决策支持。
In this study,seasons and system risk were considered and 3 scenarios were designed. Based on the incorporation of two stage stochastic programming,fuzzy- random programming,and stochastic robust method,the planning model for Urumqi’s electric power planning by power demand targets was formulated with taking the minimum total system cost as objective function,and power supply,power grid trading,district limitation,atmospheric pollutants emission and CO2 emission as constraints. Optimization schemes accorded with the characteristics of Urumqi’s power system,such as clean power technologies choice,power generation,and trading scheme with power grid,were obtained,which provides decision support for clean power advancing and power system development of Urumqi.
作者
王深
黄国和
刘政平
Wang Shen;Huang Guohe;Liu Zhengping(Key Laboratory of Regional Energy System Optimization,Ministry of Education,North China Electric Power University,Beijing102206,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2018年第11期3090-3096,共7页
Acta Energiae Solaris Sinica
基金
中央高校基本科研业务费专项(2015XS101)
关键词
不确定性分析
最优化
分布式发电
可再生能源
绿色电力
uncertainty analysis
optimization
distributed power generation
renewable energy resources
clean power generation
