中国电力 ›› 2023, Vol. 56 ›› Issue (7): 21-32.DOI: 10.11930/j.issn.1004-9649.202211054

• 面向新型电力系统的氢能及其系统集成控制关键技术 • 上一篇    下一篇

考虑源荷不确定性的氢能微网容量优化配置

袁铁江1, 杨洋1, 李瑞1, 蒋东方2   

  1. 1. 大连理工大学 电气工程学院,辽宁 大连 116024;
    2. 国网能源研究院有限公司,北京 102209
  • 收稿日期:2022-11-24 修回日期:2023-05-30 发布日期:2023-07-28
  • 作者简介:袁铁江(1975-),男,教授,博导,从事氢能与电力、化石能源集成技术,电力储能及其并网技术等研究,E-mail:ytj1975@dlut.edu.cn;杨洋(1996-),男,硕士研究生,从事电力系统及其自动化研究,E-mail:bertyy1219@163.com;李瑞(2000-),女,硕士研究生,从事电力系统及其自动化研究,E-mail:2810744410@qq.com;蒋东方(1986-),男,博士,高级工程师,从事先进发电技术、氢能综合利用及发展政策、综合能源系统等研究,E-mail:jdf150@163.com
  • 基金资助:
    国家电网公司总部科技项目(电解水制氢-储氢-供氢系统联合规划仿真及电-氢协同互动模式研究,5419-202257456A-2-0-ZN)。

Optimized Configuration of Hydrogen-Energy Microgrid Capacity Considering Source Charge Uncertainties

YUAN Tiejiang1, YANG Yang1, LI Rui1, JIANG Dongfang2   

  1. 1. School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China;
    2. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
  • Received:2022-11-24 Revised:2023-05-30 Published:2023-07-28
  • Supported by:
    This work is supported by Science and Technology Project of SGCC (Research on the Joint Planning Simulation of Electrolysis Water Hydrogen Production-Hydrogen Storage and Hydrogen Supply System and the Cooperative Interaction Mode of Electric-Hydrogen, No.5419-202257456A-2-0-ZN).

摘要: 针对电热气耦合微网存在的能源利用率低、鲁棒性难以控制的问题,提出考虑源荷不确定性的氢能微网容量优化配置方法。首先,利用氢储能、电锅炉和有机朗肯循环(organic Rankine cycle,ORC)系统增加传统微网的电热气转换途径,构建多能耦合、低碳高效的氢能微网;然后,提出一种基于有序聚类算法和模糊C均值(fuzzy C-means,FCM)聚类算法的电负荷-风电出力典型日选取方法,以年化总成本最小为优化目标,计及功率平衡、设备运行、储氢系统和天然气管道等约束,建立氢能微网容量优化配置模型;最后,对某工业园区的实际数据进行分析,得到系统中各设备的优化配置方案以及成本大小,并进行灵敏度分析,验证了所提模型可有效降低系统总成本、减少碳排放。

关键词: 微网, 氢能, 源荷不确定性, 电热气耦合, 容量优化配置

Abstract: With regards to the low energy conversion efficiency and uncontrollable factors on the robustness of electrothermal gas-coupled microgrid planning due to the randomness of new energy resources, an optimization method for the configuration of hydrogen-energy microgrid is proposed considering the uncertainties of source charges. First of all, by taking advantages of hydrogen energy storage, electric boilers and organic Rankine cycle (ORC) systems to expand the electrothermal gas conversion paths of traditional microgrids, a multi-energy coupled, low-carbon and efficient hydrogen energy microgrid is set up. Then, a typical daily selection method of electrical load-wind power output based on ordered clustering algorithm and fuzzy c-means (FCM) clustering algorithm is proposed, with the minimization of annualized total cost as the optimization objective, and by taking into account the constraints of power balance, equipment operation, hydrogen storage system and natural gas pipeline, the hydrogen energy microgrid capacity optimization configuration model is established. Finally, the actual data of an industrial park is analyzed to obtain the optimal configuration scheme and the cost of each equipment in the system. Using Matlab and Yalmip toolbox for sensitivity analysis, it is verified that the proposed method and model can effectively reduce the total cost and carbon emissions.

Key words: microgrid, hydrogen energy, source charge uncertainty, electrothermal coupling, capacity optimization configuration