中国电力 ›› 2024, Vol. 57 ›› Issue (11): 102-107.DOI: 10.11930/j.issn.1004-9649.202405013

• 新能源 • 上一篇    下一篇

基于安全稳定运行驱动的“光储直柔”系统容量配置

袁慧宏1(), 翁时乐1, 陈梁金2, 朱奕弢3, 张黎军2, 齐蓓4()   

  1. 1. 国网浙江省电力有限公司湖州供电公司,浙江 湖州 313000
    2. 国网浙江省电力有限公司,浙江 杭州 310000
    3. 湖州电力设计院有限公司,浙江 湖州 313000
    4. 国网电力科学研究院武汉能效测评有限公司,湖北 武汉 430000
  • 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
    齐 蓓(1988—),女,硕士,高级工程师,从事电力需求侧管理研究,E-mail:15071230910@163.com
  • 基金资助:
    国网浙江省电力有限公司湖州供电公司集体企业科技项目(CY840800JS20230018)。

Capacity Configuration for "PEDF" System Driven by Safe and Stable Operation

Huihong YUAN1(), Shile WENG1, Liangjin CHEN2, Yitao ZHU3, Lijun ZHANG2, Bei QI4()   

  1. 1. State Gird Huzhou Electric Power Supply Company, State Gird ZheJiang Electric Power Co., Ltd., Huzhou 313000, China
    2. State Gird Zhejiang Electric Power Co., Ltd., Hangzhou 313000, China
    3. Huzhou Electric Power Design Institute Co., Ltd., Huzhou 313000, China
    4. State Grid Electric Power Research Institute Wuhan Energy Efficiency Measurement Co., Ltd., Wuhan 430000, China
  • Received:2024-05-07 Online:2024-11-28 Published:2024-11-27
  • Supported by:
    This work is supported by State Gird Huzhou Electric Power Supply Company Collective Enterprise Technology Project (No.CY840800JS20230018).

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。

关键词: 建筑光储直柔系统, 容量配置, 改进能量谷算法

Abstract:

PEDF (photovoltaic, energy storage, direct current, and flexibility) is an important support for the new power system to achieve zero carbon electricity in buildings. To mitigate the high initial investment costs of crucial equipment in the early stage of system design, and to enhance power supply reliability, an improved energy valley optimization (EVO) algorithm for designing the capacity allocation of crucial equipment in PEDF systems for civil buildings is proposed, from the comprehensive perspectives of system economics, low carbon operation, and safety control. Simulation results are compared with those obtained from the Grey Wolf and traditional EVO algorithms. The results demonstrate that the improved EVO algorithm yields superior configuration results and faster convergence when applied to optimizing equipment capacity allocation in PEDF systems. These findings validate the effectiveness and feasibility of the proposed method, offering valuable insights for selecting crucial equipment capacities in PEDF systems for civil buildings.

Key words: building photovoltaic, energy storage, direct current and flexibility system, capacity allocation