纸质出版:2026
移动端阅览
赵昊天,刘 博,郭庆来,李 伟,潘昭光,谢文刚,孙宏斌.考虑机组启停过程的电-氢-储园区跨日调度[J].智慧电力,2026,54(2):21-29.
doi:10.20204/j.sp.2026.02003
赵昊天,刘 博,郭庆来,李 伟,潘昭光,谢文刚,孙宏斌.考虑机组启停过程的电-氢-储园区跨日调度[J].智慧电力,2026,54(2):21-29. DOI: 10.20204/j.sp.2026.02003.
doi:10.20204/j.sp.2026.02003 DOI:
工业园区面临可再生能源波动性和负荷需求不确定性叠加的挑战,导致绿电与负荷难以匹配。为此,亟需在调度中考虑容量电费、需量电费及机组启停过程等因素,构建电-氢-储园区跨日优化调度模型。针对传统方法难以准确捕捉曲线相似性、区分时间平移差异及应对高频噪声等问题,提出一种基于频域综合相似度指标的滚动修正方法,依据新能源实际出力和负荷实际功率对调度计划进行在线修正。通过仿真结果分析,并与传统滚动优化方法进行对比,验证了所提方法在不确定性条件下能够有效降低新能源弃电率与园区运行成本。
Industrial parks face the dual challenge of renewable energy intermittency and load demand uncertainty
making it difficult to match green power with load. Therefore
it is crucial to consider factors such as capacity charges
demand charges
and unit commitment processes in scheduling
and to construct a cross‑day optimal scheduling model for electricity‑hydrogen‑storage parks. Traditional methods struggle to accurately capture curve similarity
distinguish time‑shift differences
and handle high‑frequency noise. To address these issues
this paper proposes a rolling correction method based on a frequency‑domain comprehensive similarity index. This method performs online corrections to the dispatch plan according to the actual output of renewable energy and the actual load power. Simulation results and comparisons with traditional rolling optimization methods demonstrate that the proposed method can effectively reduce the renewable energy curtailment rate and the operational cost of the park under uncertain conditions.
陈艳波,张宁,李嘉祺,等. 零碳园区研究综述及展望 [J ] .中国电机工程学报,2024,44(14):5496-5517
葛磊蛟,李京京,李昌禄,等. 面向零碳园区的综合能源系统优化运行技术综述 [J ] .电网技术,2024,48(5):1821-1835.
徐奇锋,王激华,乔松博,等. 考虑源-荷匹配的区域电网风光储容量规划-运行联合优化方法 [J ] .电力建设,2024,45(8):85-96.
李江南,程韧俐,周保荣,等. 含碳捕集及电转氢设备的低碳园区综合能源系统随机优化调度 [J ] .中国电力,2024,57(5):149-156.
孟旭瑶,付立军,赖心怡,等. 计及源荷互补特性的“源网荷储一体化项目”优化配置 [J ] .电力自动化设备,2024,44(7):123-131.
杨莹,刘启航,赵为光,等. 基于深度强化学习的光氢储新能源汽车充能站优化调度 [J ] .电力需求侧管理,2025,27(4):92-97.
张丝钰,张宁,代红才,等. 可再生能源电解水制氢系统规划优化与生产模拟 [J ] .中国电力,2024,57(4):52-60.
孙笑天,卫志农,陈胜,等. 考虑碳流需求响应的园区低碳经济运行策略 [J ] .电力建设,2025,46(5):84-95.
张栋顺,全恒立,谢桦,等. 考虑碳交易机制与氢混天然气的园区综合能源系统调度策略 [J ] .中国电力,2024,57(2):183-193.
冯松杰,魏韡. 考虑新能源消纳和电力保供的电力系统多时间尺度平衡方法 [J ] .电力系统自动化,2025,49(4):128-140.
王成山,吕超贤,李鹏,等. 园区型综合能源系统多时间尺度模型预测优化调度 [J ] .中国电机工程学报,2019,39(23):6791-6803,7093.
HASANKHANI A,HAKIMI S M. Stochastic energy management of smart microgrid with intermittent renewable energy resources in electricity market [J ] .Energy,2021,219,119668.
FAN F L,ZHANG R,XU Y,et al. Robustly coordinated operation of an emission-free microgrid with hybrid hydrogen-battery energy storage [J ] .CSEE Journal of Power and Energy System,2022;8(2):369-379.
程杉,卢渊涛,王灿. 考虑P2G-CCS-HFC协调运行的园区综合能源系统分布鲁棒优化调度 [J ] .电力系统保护与控制,2025,53(10):87-101.
李剑峰,姜涛,窦文雷,等. 电-热-氢综合能源系统鲁棒区间优化调度 [J ] .电力工程技术, 2024,43(2):44-54.
束娜,江山,刘春伶,等. 计及灵活性资源多时间尺度协调互济的电-气-热综合能源系统优化调度 [J ] .电力建设,2024,45(12):3-15.
PAPAVASILIOU A,MOU Y,CAMBIER L,et al. Application of stochastic dual dynamic programming to the real-time dispatch of storage under renewable supply uncertainty [J ] .IEEE Transactions on Sustainable Energy,2018,9(2):547-558.
梁涛,柴露露,谭建鑫,等. 基于深度强化学习算法的氢耦合电-热综合能源系统优化调度 [J ] .电力自动化设备,2025,45(1):59-66.
刘泽宇,冯冬涵,吴凡,等. 计及光伏出力不确定性的用户侧需量申报策略 [J ] .中国电机工程学报,2020,40(6):1865-1873.
GUO Z J,WEI W,BAI J Y,et al. Long-term operation of isolated microgrids with renewables and hybrid seasonal-battery storage [J ] .Applied Energy,2023,349:121628.
XU H S,MA J L,XUE F,et al. Optimization control strategy for photovoltaic /hydrogen system efficiency considering the startup process of alkaline electrolyzers[J ] .International Journal of Hydrogen Energy,2025,106:65-79.
ZHAI Q Z,LI X,LEI X J,et al. Transmission constrained UC with wind power:an all-scenario-feasible MILP formulation with strong nonanticipativity [J ] .IEEE Transactions on Power Systems,2017,32(3):1805-1817.
姜延卓,高冲,刘艳云,等. 考虑能量转换装置可变效率的综合能源系统多目标优化调度 [J ] .电力系统保护与控制,2025,53(1):71-83.
LAHDELMA R,HAKONEN H. An efficient linear programming algorithm for combined heat and power production [J ] .European Journal of Operational Research,2003,148(1):141-151.
ESLING P,AGON C. Time-series data mining [J ] .ACM Computing Surveys,2012,45(1):1-34.
陈瑜玮,王彬,潘昭光,等. 计及用户灵活性和热惯性的多能园区优化调度:研发及应用 [J ] .电力系统自动化,2020,44(23):29-37.
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621