Optimal Day-ahead Scheduling Method for Electricity-Water-Heat Integrated Energy System Considering Virtual Energy Storage

被引：0
作者：
Mu Y. [1 ]
Tang Z. [1 ]
Wu Z. [1 ]
Jin X. [1 ]
Jia H. [1 ]
Xu Y. [1 ]
机构：
[1] Key Laboratory of Ministry of Education on Smart Power Grids, Tianjin University, Tianjin
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 24期
基金：
中国国家自然科学基金;
关键词：
complementarity; energy hub; energy storage; integrated energy system; multi-energy coordination; optimal scheduling; solar energy accommodation;
D O I：
10.7500/AEPS20230322003
中图分类号：
学科分类号：
摘要：
A day-ahead economic scheduling method considering virtual energy storage (VES) is proposed for the electricity-water-heat integrated energy system (EWH-IES) including the high proportion of volatile renewable energy sources such as photovoltaic and photothermal. First,in order to effectively utilize the flexibility of water storage characteristics in the water supply subsystem and hot water storage characteristics in the hot water supply subsystem, two types of VES models between electricity-water and electricity-heat of EWH-IES are established. Three virtual energy storage parameters including virtual charging and discharging power, virtual electric capacity, and virtual state of charge are defined to explore the capacity of water and hot water storage to participate in the optimal operation of EWH-IES. Then, an extended energy hub model that integrates VES models and the coupling electricity-water, electricity-heat energy and material flows is established to describe the mathematical relationship of energy and material flow conversion in EWH-IES. On this basis, an optimal day-ahead economic scheduling method considering the virtual charging and discharging capabilities of the two types of VES is proposed to support the optimal operation of EWH-IES through the flexibility utilization of the two types of VES. Finally, a case is given to verify the effectiveness of the proposed method in improving EWH-IES operation economy and renewable energy accommodation. © 2023 Automation of Electric Power Systems Press. All rights reserved.
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页码：11 / 21
页数：10
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