中国太阳能富集区居住建筑光储系统设计方法研究

许馨尹; 冯珩力; 杨柳; 刘衍

doi:10.19912/j.0254-0096.tynxb.2023-1546

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (7) : 101-110. DOI: 10.19912/j.0254-0096.tynxb.2023-1546

“新型电力系统中光储规划配置及优化运行技术”专题

中国太阳能富集区居住建筑光储系统设计方法研究

许馨尹^1,2, 冯珩力¹, 杨柳^1,3, 刘衍^1,3

作者信息 +

OPTIMIZED DESIGN METHOD OF PV-BATTERY ENERGY SYSTEM FOR RESIDENTIAL BUILDINGS IN CHINA SOLAR-RICH AREA

Xu Xinyin^1,2, Feng Hengli¹, Yang Liu^1,3, Liu Yan^1,3

Author information +

文章历史 +

摘要

以太阳能富集区居住建筑光储系统为研究对象,提出该能源系统的多目标优化设计方法。首先建立系统各设备动态模型,并以系统年化费用和建筑自持化率为优化目标,以全年逐小时供-储-需能流平衡、设备性能为约束,光伏安装倾角、方位角、容量以及储能电池容量为决策变量,并利用非支配排序遗传算法（NSGA-Ⅱ）结合TOPSIS方法评估不同情景下的系统最优方案,最后以拉萨单层居住建筑为案例分析验证所提方法的可行性。结果表明：该方法可得到建筑自持化率和经济性双重目标下的光储系统关键参数,且余电是否上网交易会对能源系统设计产生重要影响。

Abstract

This paper constructs models for the various components of the system, with the annual total cost and the building self-sufficiency as the objective functions and PV installation parameters and capacity, and battery capacity as the decision variables. By balancing energy flow and equipment efficiency, we obtained the design parameters of the PV-battery system by utilizing non-dominated sorting genetic algorithm（NSGA-Ⅱ）. The enhanced TOPSIS method was employed to determine the optimal system capacity across varying scenarios. Using residential buildings in Lhasa as a case study, we explored and validated the methodology's practicality. Our findings show that this approach effectively determines the PV-battery system's installation and capacity parameters, meeting dual objectives of building autonomy and cost-effectiveness. Meanwhile, the decision of whether excess electricity is fed back to the grid significantly influences the design of the energy system.

导出引用

许馨尹, 冯珩力, 杨柳, 刘衍. 中国太阳能富集区居住建筑光储系统设计方法研究[J]. 太阳能学报. 2024, 45(7): 101-110 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1546

Xu Xinyin, Feng Hengli, Yang Liu, Liu Yan. OPTIMIZED DESIGN METHOD OF PV-BATTERY ENERGY SYSTEM FOR RESIDENTIAL BUILDINGS IN CHINA SOLAR-RICH AREA[J]. Acta Energiae Solaris Sinica. 2024, 45(7): 101-110 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1546

中图分类号： TU18

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