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考虑碳自然循环的离网型风/光-火联合供能系统容量优化配置
引用本文:冉亮,费斯奇,袁铁江,吕清泉,李国锋.考虑碳自然循环的离网型风/光-火联合供能系统容量优化配置[J].太阳能学报,2023,44(1):509-515.
作者姓名:冉亮  费斯奇  袁铁江  吕清泉  李国锋
作者单位:1.国网甘肃省电力公司,兰州 730000;2.大连理工大学电气工程学院,大连 116023
基金项目:国网甘肃省电力公司科研资助项目(SGGSKY00FJJS1900240)
摘    要:针对合理规划离网型风/光-火联合供能系统使其达到碳中和要求的问题,首先考虑风光出力不确定性对新能源为主的离网型供能系统可靠性的影响,提出离网型风/光-火联合供能系统的基本结构;其次,基于自然界可消纳CO2上限与世界能源需求总量之间的关系,建立供能系统的碳自然循环模型;以系统年总费用值最小为目标,建立供能系统容量优化配置数学模型,并采用粒子群算法求解。基于某实际离网型联合供能系统算例分析表明:所述容量优化配置方法在以较低成本保证供能可靠性的同时,可实现离网型风/光-火联合供能系统CO2的“净零排放”。

关 键 词:可再生能源  电力系统规划  约束优化  粒子群算法
收稿时间:2021-08-16

OPTIMAL CAPACITY ALLOCATION OF OFF-GRID WIND/PV-THERMAL ENERGY SUPPLY SYSTEM CONSIDERING THE CARBON CYCLE
Ran Liang,Fei Siqi,Yuan Tiejiang,Lyu Qingquan,Li Guofeng.OPTIMAL CAPACITY ALLOCATION OF OFF-GRID WIND/PV-THERMAL ENERGY SUPPLY SYSTEM CONSIDERING THE CARBON CYCLE[J].Acta Energiae Solaris Sinica,2023,44(1):509-515.
Authors:Ran Liang  Fei Siqi  Yuan Tiejiang  Lyu Qingquan  Li Guofeng
Affiliation:1. State Grid Gansu Electric Power Company, Lanzhou 730000, China;2. College of Electrical Engineering, Dalian University of Technology, Dalian 116023, China
Abstract:This paper developed an optimal configuration method for an off-grid combined wind/PV-thermal energy supply system considering the natural carbon cycle. Firstly, we analyzed the influence of the uncertainty of wind and PV energy output on the reliability of the functional system and proposed the basic structure of the off-grid wind/PV-thermal combined energy supply system. Secondly, a natural carbon cycle model of functional systems is established based on the relationship between the maximum CO2 absorbed by nature and the total energy demand of the world. Finally, we established a mathematical model for capacity optimal allocation of the power supply system, aiming at minimizing the total annual cost of the system, and solved it using a particle swarm optimization algorithm. The results of numerical experiments show that the proposed method achieves “net zero emission” of CO2 in an off-grid wind/PV-thermal combined power supply system while ensuring the reliability of the power supply at a lower cost.
Keywords:renewable energy  electrical power system planning  constrained optimization  particle swarm optimization  
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