OPTIMIZATION OF SOLAR-GAS ENERGY SYSTEM CONSIDERING GRID RENEWABLE ENERGY POWER PENETRATION RATES

被引：0
|
作者：
Han J. [1 ]
Cheng T. [1 ]
Xu J. [2 ]
Wang F. [2 ]
Wang J. [2 ,3 ]
Lund P. [2 ,4 ]
机构：
[1] Power China Huadong Engineering Corporation Limited, Hangzhou
[2] Jiangsu Provincial Key Laboratory of Solar Energy Science and Technology, School of Energy and Environment, Southeast University, Nanjing
[3] Nanjing PaRuoTe Solar Energy Co.，Ltd., Nanjing
[4] School of Science, Aalto University, Aalto
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2023年 / 44卷 / 07期
关键词：
Matlab; multi-objective optimization; NSGA-II algorithm; power penetration; renewable energy; solar power generation;
D O I：
10.19912/j.0254-0096.tynxb.2022-0367
中图分类号：
学科分类号：
摘要：
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. © 2023 Science Press. All rights reserved.
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页码：80 / 87
页数：7
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