中国电力 ›› 2024, Vol. 57 ›› Issue (11): 102-107.DOI: 10.11930/j.issn.1004-9649.202405013
袁慧宏1(), 翁时乐1, 陈梁金2, 朱奕弢3, 张黎军2, 齐蓓4(
)
收稿日期:
2024-05-07
出版日期:
2024-11-28
发布日期:
2024-11-27
作者简介:
袁慧宏(1975—),男,通信作者,硕士,高级工程师,从事输变电工程项目管理、技术研究和科技创新工作,E-mail:yuanhuihong@sina.com基金资助:
Huihong YUAN1(), Shile WENG1, Liangjin CHEN2, Yitao ZHU3, Lijun ZHANG2, Bei QI4(
)
Received:
2024-05-07
Online:
2024-11-28
Published:
2024-11-27
Supported by:
摘要:
“光储直柔”是新型电力系统实现建筑零碳电力的重要支撑。在系统设计初期,为规避关键设备初期投资成本过高,从综合考虑系统经济、低碳和安全的运行调控视角,提出一种基于改进能量谷优化算法的适用于民用建筑“光储直柔”系统关键设备容量配置设计的方法。仿真结果表明:所提方法配置结果更优、收敛速度更快,可为民用建筑系统设备容量选择提供参考。
袁慧宏, 翁时乐, 陈梁金, 朱奕弢, 张黎军, 齐蓓. 基于安全稳定运行驱动的“光储直柔”系统容量配置[J]. 中国电力, 2024, 57(11): 102-107.
Huihong YUAN, Shile WENG, Liangjin CHEN, Yitao ZHU, Lijun ZHANG, Bei QI. Capacity Configuration for "PEDF" System Driven by Safe and Stable Operation[J]. Electric Power, 2024, 57(11): 102-107.
参数 | 数值 | |
光伏组件占地面积/m2 | 2.60 | |
光伏组件发电效率/% | 20 | |
储能组件充电效率/% | 97 | |
光伏组件额定功率/kW | 0.54 | |
储能组件额定功率/kW | 5 | |
光伏组件建设成本/(元·m–2) | 1 000 | |
光伏组件运维成本/(元·m–2) | 90 | |
光伏组件回收收益/(元·kW–1) | 150 | |
储能组件建设成本/(元·(kW·h)–1) | 1 800 | |
储能组件运维成本/(元·(kW·h)–1) | 36 |
表 1 光伏、储能组件参数
Table 1 Photovoltaic Module Parameters
参数 | 数值 | |
光伏组件占地面积/m2 | 2.60 | |
光伏组件发电效率/% | 20 | |
储能组件充电效率/% | 97 | |
光伏组件额定功率/kW | 0.54 | |
储能组件额定功率/kW | 5 | |
光伏组件建设成本/(元·m–2) | 1 000 | |
光伏组件运维成本/(元·m–2) | 90 | |
光伏组件回收收益/(元·kW–1) | 150 | |
储能组件建设成本/(元·(kW·h)–1) | 1 800 | |
储能组件运维成本/(元·(kW·h)–1) | 36 |
时段 | 时刻 | 购电价格/(元·(kW·h)–1) | ||
低谷时段 | 22:00—次日07:00 | 0.29 | ||
平峰时段 | 07:00—20:00 | 0.58 | ||
高峰时段 | 20:00—22:00 | 1.04 |
表 2 分时电价
Table 2 Time of use electricity price
时段 | 时刻 | 购电价格/(元·(kW·h)–1) | ||
低谷时段 | 22:00—次日07:00 | 0.29 | ||
平峰时段 | 07:00—20:00 | 0.58 | ||
高峰时段 | 20:00—22:00 | 1.04 |
算法 | 光伏容量/kW | 储能容量/kW | 光伏、储能系统等建设及 运维成本/元 | 减少碳排放量收益/ 元 | 最大交互功率/kW | |||||
GWO(安全) | 244 | 45 | 488 975 | 924 562 | 17.8 | |||||
GWO(经济) | 324 | 49 | 643 463 | 1 103 578 | 19.4 | |||||
GWO(低碳) | 350 | 62 | 629 707 | 857 246 | 20.5 | |||||
EVO(安全) | 250 | 50 | 496 858 | 937 675 | 16.5 | |||||
EVO(经济) | 315 | 50 | 563 463 | 1 08 3 578 | 20.3 | |||||
EVO(低碳) | 320 | 60 | 593 233 | 905 760 | 18.5 | |||||
IEVO(安全) | 245 | 30 | 472 566 | 978 156 | 13.8 | |||||
IEVO(经济) | 290 | 30 | 491 684 | 1 096 955 | 17.4 | |||||
IEVO(低碳) | 310 | 50 | 564 752 | 916 672 | 19.2 |
表 3 容量配置优化结果
Table 3 Capacity Configuration Optimization Results
算法 | 光伏容量/kW | 储能容量/kW | 光伏、储能系统等建设及 运维成本/元 | 减少碳排放量收益/ 元 | 最大交互功率/kW | |||||
GWO(安全) | 244 | 45 | 488 975 | 924 562 | 17.8 | |||||
GWO(经济) | 324 | 49 | 643 463 | 1 103 578 | 19.4 | |||||
GWO(低碳) | 350 | 62 | 629 707 | 857 246 | 20.5 | |||||
EVO(安全) | 250 | 50 | 496 858 | 937 675 | 16.5 | |||||
EVO(经济) | 315 | 50 | 563 463 | 1 08 3 578 | 20.3 | |||||
EVO(低碳) | 320 | 60 | 593 233 | 905 760 | 18.5 | |||||
IEVO(安全) | 245 | 30 | 472 566 | 978 156 | 13.8 | |||||
IEVO(经济) | 290 | 30 | 491 684 | 1 096 955 | 17.4 | |||||
IEVO(低碳) | 310 | 50 | 564 752 | 916 672 | 19.2 |
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