月刊
ISSN 1000-7229
CN 11-2583/TM
电力建设 ›› 2023, Vol. 44 ›› Issue (2): 38-49.doi: 10.12204/j.issn.1000-7229.2023.02.004
• 面向新型电力系统的灵活性资源发展关键技术及应用·栏目主持 鞠立伟副教授、谭忠富教授· • 上一篇 下一篇
檀勤良1,2,3(), 单子婧1(), 丁毅宏1(), 张一梅4()
收稿日期:
2022-03-28
出版日期:
2023-02-01
发布日期:
2023-01-30
通讯作者:
单子婧(1999),女,硕士研究生,主要研究方向为能源环境建模与优化,E-mail:作者简介:
檀勤良(1969),男,博士,教授,博士生导师,主要研究方向为能源环境建模与优化、资源管理与政策研究、决策分析与运作管理等,E-mail:tan.qinliang1@gmail.com;基金资助:
TAN Qinliang1,2,3(), SHAN Zijing1(), DING Yihong1(), ZHANG Yimei4()
Received:
2022-03-28
Online:
2023-02-01
Published:
2023-01-30
Supported by:
摘要:
高比例可再生能源的间歇性进一步加剧了电力系统安全稳定运行风险,使得灵活性资源配置愈发关键,因此有必要开展电力系统灵活性资源规划配置研究。文章提出了一种考虑蓄电池与电制氢设备特性的微网灵活性资源配置与运行协同优化双层模型。上层目标为系统年碳排放量最小与年化综合利润最大,下层目标为系统日运营利润最大,开展满足电-氢负荷下的容量规划案例分析,并设置不同灵活性技术成本下降情景,设计经济性、清洁性、灵活性指标对比评判不同情景下两种技术的竞争力。结果表明:所提优化配置方法能够以较小的经济代价实现系统环境效益的大幅提升,目前蓄电池相较电制氢技术更具综合性优势,但后者在未来具有更大的获益空间和市场潜力。
中图分类号:
檀勤良, 单子婧, 丁毅宏, 张一梅. 考虑蓄电池与电制氢的多能源微网灵活性资源配置双层优化模型[J]. 电力建设, 2023, 44(2): 38-49.
TAN Qinliang, SHAN Zijing, DING Yihong, ZHANG Yimei. Bi-level Optimal Configuration for Flexible Resources of Multi-energy Microgrid Considering Storage Battery and P2H[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(2): 38-49.
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