基于Matlab软件,搭建一种太阳能-燃气耦合供能的综合能源系统,并考虑系统在不同电网可再生能源渗透率下的表现,采用NSGA-Ⅱ多目标优化算法对系统进行经济、环境及节能三方面的优化分析。传统碳税核算表明,以电定热（FEL）模式综合表现最佳。FEL模式下,系统CO2减排率（CDERR）随渗透率增大而显著增大,化石燃料节约率（FFSR）和年度成本节约率（ACSR）受影响次之;在实际渗透率为29.1%情况下,最佳运行决策对应FFSR、ACSR及CDERR分别为38.87%、47.61%、70.19%。敏感性分析表明,碳税增大及天然气价格降低引起ACSR增大。
Abstract
Based on Matlab modelling, an integrated energy system with solar-gas coupled energy supply is built. Considering the performance of the system under different renewable energy penetration rates, the economic, environmental and energy multi-optimization is implemented. The traditional carbon tax accounting shows that the FEL（following electric load） model has the best overall performance. In the FEL mode, the system CDERR （carbon dioxide emission reduction ratio） increases significantly with the increase of the penetration rate, and the FFSR（fuel fossil saving ratio） and ACSR（annual cost saving ratio） are affected secondly and thirdly. Considering the actual penetration rate 29.1%, the optimal operation decision corresponds to FFSR, ACSR and CDERR of 38.87% 47.61% and 70.19%. Sensitivity analysis shows that the increase of carbon tax and the decrease of natural gas price lead to the increase of ACSR.
关键词
太阳能发电 /
多目标优化 /
Matlab /
NSGA-Ⅱ算法 /
可再生能源 /
电力渗透率
Key words
solar power generation /
multi-objective optimization /
Matlab /
NSGA-Ⅱ algorithm /
renewable energy /
power penetration
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