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An optimization model for the provision of flexibility and dispatching resources by multi-vector smart energy districts

机译:多向量智能能源区提供灵活性和调度资源的优化模型

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The Clean Energy Package expects a fundamental contribute for the decarbonisation of European energy system from Distributed Energy Resources (DERs), pushing Member States to favour the diffusion of energy production plants for individual and collective self-consumption. At the same time, DERs are required to contribute to system security mainly providing dispatching resources. The model developed includes the possibility to provide real-time balancing flexibility in a generic architecture where different energy vectors can be integrated through energy production, consumption and storage facilities. The optimization problem is built over a weekly time horizon with a stepwise approach where internal and external energy exchanges are defined updating meteorological forecasts, energy demands and markets results while approaching real-time operations. According to the Italian Authority consultation document 322/2019, both energy-only and capacity remunerated services are included in the model. The aim of the model is both to estimate the economic opportunities coming from energy markets participation for smart energy districts in the future energy framework, and to assess the actual capability and reliability of diverse DERs aggregates to provide flexibility to the external electric grid. These evaluations are carried out applying the presented model to a university campus case study where different energy conversion and storage plants are integrated at a Distribution Network level.
机译:清洁能源包预计为欧洲能源系统(DER)脱碳的基本贡献,推动会员国支持能源生产厂的扩散,为个人和集体自我消费。与此同时,DER需要为系统安全贡献主要提供调度资源。该模型开发包括在通用架构中提供实时平衡灵活性,其中可以通过能量生产,消耗和存储设施集成不同的能量向量。优化问题在每周时间范围内建造,具有逐步的方法,其中内部和外部能量交换定义更新如何更新气象预测,能量需求和市场在接近实时操作时产生的。根据意大利管理局咨询号文件322/2019,模型中包含能源和容量报酬的服务。该模型的目的既可估算未来能源框架中智能能源区的能源市场的经济机会,并评估不同DERS聚集体的实际能力和可靠性,为外部电网提供灵活性。这些评估是将呈现的模型应用于大学校园案例研究,其中不同的能量转换和储存设备在分销网络级别集成。

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