Day-ahead and Intra-day Coordinated Optimal Scheduling of Integrated Energy System Considering Uncertainties in Source and Load

被引：0
|
作者：
Nan B. [1 ]
Jiang C. [2 ]
Dong S. [1 ]
Xu C. [3 ]
机构：
[1] College of Electrical Engineering, Zhejiang University, Zhejiang Province, Hangzhou
[2] Logistics Engineering College, Shanghai Maritime University, Pudong New Area, Shanghai
[3] State Grid Hangzhou Power Supply Company, Zhejiang Province, Hangzhou
来源：
Dianwang Jishu/Power System Technology | 2023年 / 47卷 / 09期
基金：
中国国家自然科学基金;
关键词：
comprehensive energy efficiency; fuzzy optimization; integrated energy system; multi-scenario technique; multi-time scale; uncertainty;
D O I：
10.13335/j.1000-3673.pst.2022.2080
中图分类号：
学科分类号：
摘要：
In the context of the multi-energy coupling deepening and the high percentage of new energy penetration, a multi-objective optimal scheduling method considering the uncertainties is proposed for the integrated energy system (IES) to fully utilize the flexibility of the energy application and to overcome the effects of the uncertainties in load and new energy forecasts on the scheduling plans. Firstly, the energy supply structures and equipment models are established for an industrial park IES. Secondly, the day-ahead and intra-day uncertainties in load and PV are modelled based on the multi-scenario technology and the fuzzy mathematics respectively. Finally, the day-ahead scheduling is carried out with the objectives of the lowest operation cost, the lowest carbon emission cost and the highest comprehensive energy efficiency in the uncertain environment, realizing the flexible intra-day adjustment based on the day-ahead scheduling. The results show that the proposed approach balances the risks and rewards of the day-ahead and intra-day scheduling, improving the operation economy, the environmental performance and the energy efficiency of the system. © 2023 Power System Technology Press. All rights reserved.
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页码：3669 / 3686
页数：17
相关论文
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