The energy aggregator problem – A holistic mixed-integer linear programming approach

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS
Kai Hoth , Béla Wiegel , Tizian Schug , Kathrin Fischer
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Abstract

In this paper, a new mixed integer linear programming (MILP) model for the day-ahead operation of energy aggregators (EA) is developed. Synergies between the different types of flexibility and energy trading options enable EAs in decentralized and renewable energy systems to provide economic benefits to participating households but require a detailed consideration of technological properties and constraints of the respective types of resources. Therefore, the main contribution of this work is the development of a new EA model (EAM), which combines a holistic perspective with a high level of technical detail to better address the complexity of the EA decision. Most importantly, power-to-heat systems are integrated with their inherent thermal relations between heat pumps, heater rods and heat storages. In combination with other energy resources such as photovoltaic systems, electric vehicles, household battery storages and time-shiftable loads, households are modeled as systems with interdependent electrical power and heat flows. Moreover, three different trading levels (wholesale, local markets and internal trading) are taken into account. The model application to a case study with up to 111 individually modeled prosumer households in a summer and a winter scenario reveals high synergetic potential of EAs resulting from the flexibility of multiple trading options in combination with the flexibility of various energy resources. The results validate the efficacy of the model, as significant economic benefits for households are realized in comparison to a base case of non-aggregated households, showing that the three trading levels significantly contribute to these benefits. Further analyses give insights into the interdependent synergetic relations between different flexible resources, underlining the importance of a holistic optimization approach that explicitly takes these relations into account. For future research, the EAM is proposed as a base model to depict the behavior of EAs.
能量聚合器问题-一种整体混合整数线性规划方法
本文建立了能源集散器日前运行的混合整数线性规划(MILP)模型。不同类型的灵活性和能源交易选择之间的协同作用使分散和可再生能源系统中的ea能够为参与家庭提供经济利益,但需要详细考虑各自类型资源的技术特性和限制。因此,这项工作的主要贡献是开发一个新的EA模型(EAM),它结合了一个整体的视角和高层次的技术细节,以更好地处理EA决策的复杂性。最重要的是,电热系统与热泵,加热棒和储热器之间的固有热关系集成在一起。结合其他能源资源,如光伏系统、电动汽车、家庭电池存储和时移负荷,家庭被建模为具有相互依赖的电力和热流的系统。此外,还考虑了三个不同的交易水平(批发、本地市场和内部交易)。该模型应用于一个案例研究,在夏季和冬季场景中有多达111个单独建模的产消户家庭,揭示了ea的高协同潜力,这是由多种交易选项的灵活性与各种能源资源的灵活性相结合而产生的。结果验证了模型的有效性,因为与非汇总家庭的基本情况相比,家庭实现了显着的经济效益,表明三种贸易水平显着促进了这些效益。进一步的分析揭示了不同灵活资源之间相互依赖的协同关系,强调了明确考虑这些关系的整体优化方法的重要性。为了进一步的研究,本文提出了EAM作为描述ea行为的基本模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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