| 引用本文: | 陈志颖,温步瀛,朱振山.计及风电相关性的区域综合能源系统多时间尺度优化调度[J].电力自动化设备,2023,43(8):25-32 |
| CHEN Zhiying,WEN Buying,ZHU Zhenshan.Multi-time scale optimal scheduling of regional integrated energy system considering wind power correlation[J].Electric Power Automation Equipment,2023,43(8):25-32 |
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| 摘要: |
| 为解决源荷不确定性和风电相关性导致区域综合能源系统调度结果可信度低的问题，以综合运行成本最小为目标，提出一种计及多时间尺度的区域综合能源系统调度模型。在日前阶段，提出计及风电相关性的两阶段鲁棒优化模型，使用列和约束生成法进行迭代求解。日内调度阶段考虑了冷热电响应速率的不同，提出基于模型预测控制的冷热电分层滚动优化模型，进一步消除源荷功率波动。仿真结果表明：计及风电相关性的鲁棒优化方法降低了保守性，提高了经济性；在冷热电分层优化时使用模型预测控制，实现了区域综合能源系统的经济及稳定运行。 |
| 关键词: 区域综合能源系统 线性多面体集合 模型预测控制 冷热电分层 多时间尺度 |
| DOI：10.16081/j.epae.202212013 |
| 分类号:TM732;TK01 |
| 基金项目:福州大学科研启动基金资助项目(510901) |
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| Multi-time scale optimal scheduling of regional integrated energy system considering wind power correlation |
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CHEN Zhiying1, WEN Buying1, ZHU Zhenshan1,2
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1.College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350100, China;2.Fujian Province University Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou 350100, China
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| Abstract: |
| The uncertainty of source and load along with the wind power correlation can make the scheduling results of regional integrated energy system less credible. To solve this problem, taking the minimum comprehensive operation cost as the objective, a scheduling model of regional integrated energy system with multi-time scale is proposed. In the day-ahead stage, the two-stage robust optimization model considering wind power correlation is proposed, and the column-and-constraint generation method is used for the iterative solution. In the intra-day scheduling stage, the different response rates of cold, heat and power are considered, and the hierarchical rolling optimization model of cold, heat and power based on model predictive control is proposed to further eliminate the fluctuation of source and load power. The simulative results show that the robust optimization method considering the wind power correlation reduces conservatism and improves economy. The economic and stable operation of regional integrated energy system is realized by using model predictive control in the hierarchical optimization of cold, heat and power. |
| Key words: regional integrated energy system linear polyhedron set model predictive control hierarchy of cold, heat and power multi-time scale |
