考虑综合需求响应和设备响应时间的综合能源系统多时间尺度优化运行策略

IF 1.9 4区 工程技术 Q4 ENERGY & FUELS Journal of Renewable and Sustainable Energy Pub Date : 2023-07-01 DOI:10.1063/5.0159626
Fugui Dong, Zihang Meng, Laihao Chi, Xiaofeng Wang
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引用次数: 0

摘要

需求侧资源的响应潜力在综合能源系统(IES)运营中变得越来越重要。此外,为了确保系统设备的有效参与,应考虑它们在不同时间尺度上的实际响应能力。基于这些考虑,本文提出了一种IES多时间尺度运行优化策略,该策略结合了多种形式的综合需求响应(IDR),并考虑了设备的响应特性。首先,分析了IDR的多时间尺度特征。此外,还进一步建立了IES的多时间尺度运行模型,包括日前、日内和实时阶段。在日前调度中,通过考虑需求响应变化和碳排放成本,建立了低碳经济调度模型。在日内调度中,考虑到冷、热能传递具有慢动态特性,建立了考虑减载和替代DR的冷、热耦合设备滚动优化模型。在实时调度中,调整电/气耦合设备的输出。最后,以中国北方某工业园区为例进行了案例分析。研究结果表明:(1)IDR多时间尺度响应策略可以利用不同类型的需求侧柔性资源。实施换挡DR后,电力负荷曲线的峰谷差降低了20%,系统总成本降低了2.3%。实施甩负荷后,电力、热力和冷负荷曲线的单位周期最大负荷差分别降低了18.7%、40.0%和68.9%。(2) 通过细化IES优化的时间尺度,该模型可以有效地确保系统在不同负载场景下的能源供需平衡,降低系统运行成本。将该模型应用于三个典型日子(过渡季节、夏季和冬季)的模拟后,损失负荷的惩罚成本分别降低了3650元、3807元和3599元,系统总成本分别降低17.4%、16.1%和16.2%。
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A multi-timescale optimal operation strategy for an integrated energy system considering integrated demand response and equipment response time
The response potential of demand-side resources is becoming increasingly significant in integrated energy system (IES) operations. In addition, to ensure the effective participation of system devices, their actual responsiveness at different timescales should be considered. Based on these considerations, this paper proposes an IES multi-timescale operation optimization strategy that incorporates multiple forms of integrated demand response (IDR) and considers the response characteristics of the equipment. First, the multi-timescale characteristics of IDR are analyzed. Moreover, a multi-timescale operation model of IES that comprises day-ahead, intraday, and real-time stages is further established. In the day-ahead dispatch, a low-carbon economic scheduling model is developed by considering the shifting demand response (DR) and the cost of carbon emissions. In the intraday scheduling, noting that cooling and heat energy transmission possess slow dynamic characteristics, a rolling optimization model for cooling/heating coupled equipment considering load shedding and substituting DR is established. In real-time scheduling, the output of electric/gas coupled equipment is adjusted. Finally, an industrial park-type IES in northern China was selected as an example for a case study. The results show that (1) the IDR multi-timescale response strategy can exploit different types of demand-side flexibility resources. After implementing the shifting DR, the peak-to-valley difference of the electric load curve was reduced by 20%, and the total system cost was reduced by 2.3%. After implementing load shedding, the maximum load differences per unit period of the electric, heat, and cooling load curves decreased by 18.7%, 40.0%, and 68.9%, respectively. (2) By refining the timescale of IES optimization, the proposed model can effectively ensure the energy supply and demand balance of the system under different load scenarios and reduce the system operation cost. After applying the model to simulation in three typical days (transition season, summer, and winter), the penalty costs of lost loads reduce by ¥3650, ¥3807, and ¥3599, respectively, and the total system costs decrease by 17.4%, 16.1%, and 16.2%, respectively.
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来源期刊
Journal of Renewable and Sustainable Energy
Journal of Renewable and Sustainable Energy ENERGY & FUELS-ENERGY & FUELS
CiteScore
4.30
自引率
12.00%
发文量
122
审稿时长
4.2 months
期刊介绍: The Journal of Renewable and Sustainable Energy (JRSE) is an interdisciplinary, peer-reviewed journal covering all areas of renewable and sustainable energy relevant to the physical science and engineering communities. The interdisciplinary approach of the publication ensures that the editors draw from researchers worldwide in a diverse range of fields. Topics covered include: Renewable energy economics and policy Renewable energy resource assessment Solar energy: photovoltaics, solar thermal energy, solar energy for fuels Wind energy: wind farms, rotors and blades, on- and offshore wind conditions, aerodynamics, fluid dynamics Bioenergy: biofuels, biomass conversion, artificial photosynthesis Distributed energy generation: rooftop PV, distributed fuel cells, distributed wind, micro-hydrogen power generation Power distribution & systems modeling: power electronics and controls, smart grid Energy efficient buildings: smart windows, PV, wind, power management Energy conversion: flexoelectric, piezoelectric, thermoelectric, other technologies Energy storage: batteries, supercapacitors, hydrogen storage, other fuels Fuel cells: proton exchange membrane cells, solid oxide cells, hybrid fuel cells, other Marine and hydroelectric energy: dams, tides, waves, other Transportation: alternative vehicle technologies, plug-in technologies, other Geothermal energy
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