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Aggregation and Remuneration of Electricity Consumers and Producers for the Definition of Demand-Response Programs

机译:电力消费者和生产者的总薪酬和薪酬需求计划的定义

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摘要

The use of distributed generation and demand-response (DR) programs is needed for improving business models, namely concerning the remuneration of these resources in the context of smart grids. In this paper, a methodology is proposed in which a virtual power player aggregates several small-sized resources, including consumers participating in DR programs. The global operation costs resulting from the resource scheduling are minimized. After scheduling the resources in several operation scenarios, clustering tools are applied in order to obtain distinct resources’ groups. The remuneration structure that better fits the aggregator goals is then determined. Two clustering algorithms are compared: 1) hierarchical; and 2) fuzzy c-means clustering. The remuneration of small resources and consumers that are aggregated is made considering the maximum tariff in each group. The implemented case study considers 2592 operation scenarios based on a real Portuguese distribution network with 548 distributed generators and 20 310 consumers.
机译:需要使用分布式发电和需求响应(DR)程序来改进业务模型,即在智能电网的背景下涉及这些资源的报酬。在本文中,提出了一种方法,其中虚拟电源播放器聚合了几个小型资源,包括参与DR程序的用户。由资源调度产生的总体运营成本被最小化。在几种操作方案中调度资源后,将应用群集工具以获得不同资源的组。然后确定更适合聚合器目标的薪酬结构。比较了两种聚类算法:1)分层; 2)模糊c均值聚类。考虑到每个组中的最高关税,汇总了小资源和消费者的报酬。实施案例研究考虑了基于548个分布式发电机和20 310个消费者的真实葡萄牙配电网络的2592个运行方案。

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