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Business cases of aggregated flexibilities in multiple electricity markets in a European market design

机译:欧洲市场设计中多电力市场汇总灵活性的业务案例

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摘要

Distributed flexible energy consumption, production and storage technologies are an option to increase the flexibility of electricity systems and foster the integration of variable renewable energy sources. Aggregation business models, providing residential customers access to different electricity markets, can activate and utilize this untapped flexibility potential. However, economic feasibility for both aggregator and customers is a prerequisite for the adoption of these business models. In a European electricity market design with sequential markets, participation on multiple markets is supposed to further increase the economic benefits of aggregated demand response. In this work, a modular and extensible operational optimization and simulation framework based on mixed interger linear programming is developed to investigate different business models for aggregation of residential flexibility options on multiple markets. Simulation results of a specific case study show that considering day-ahead, balancing and intraday markets with adequate risk management in the optimization can significantly improve economic benefits compared to single-market optimization. Battery storages contribute most to these benefits. Business models on multiple markets are complex in terms of business model design and optimization, but they are economical for both aggregator and customers. Moreover they provide additional flexibility options to electricity systems. Thus, barriers for their implementation should be mitigated.
机译:分布式灵活的能量消耗,生产和存储技术是一种增加电力系统灵活性的选项,促进可变可再生能源的集成。聚合业务模式,为住宅客户提供不同的电力市场,可以激活和利用这种未开发的灵活性潜力。然而,两者和客户的经济可行性是通过这些商业模式的先决条件。在欧洲电力市场设计与顺序市场,参与多个市场应该进一步提高汇总需求响应的经济效益。在这项工作中,开发了一种基于混合中式线性编程的模块化和可扩展的操作优化和仿真框架,以调查多个市场上的住宅灵活性选项的聚合。特定案例研究的仿真结果表明,与单一市场优化相比,在优化中考虑具有足够风险管理的日期,平衡和盘区市场,可以显着提高经济效益。电池储存对这些好处有贡献。在商业模式设计和优化方面,多个市场上的商业模式是复杂的,但它们是聚合器和客户的经济学。此外,它们为电力系统提供了额外的灵活性选项。因此,应减轻其实施的障碍。

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