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Prosumer recruitment framework for prosumer community groups in smart-grid

机译:智能电网中的生产者社区团体的生产者招聘框架

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摘要

Smart Grid (SG) achieves bidirectional energy and information flow between the energy-user and the utility grid, allowing conventional energy-users to become prosumers, who not only generate green energy, but also return the surplus energy back to the utility-grid. Managing these energy-sharing prosumers is a pivotal requisite in SG, and making goal-oriented prosumer community groups is an effective choice to accomplish that.However, developing sustainable prosumer community groups is challenging and one of the key challenges is recruiting dynamic prosumers to the community groups. In this research paper, we address this challenge by presenting an innovative framework for prosumer recruitment in prosumer community groups. The current literature has overlooked this challenge, making our work novel within the research field. The proposed prosumer recruitment framework suggests the use of iterative evaluation process to proactively monitor the quality of service delivered by registered prosumers before assigning them to the prosumer community groups. We demonstrate the functionality of the framework using energy behaviour dataset of 500 prosumers. Furthermore, we present performance benchmarks to validate the framework's ability to identify the dynamic prosumers within the dataset, and to assign the prosumers to the appropriate prosumer community groups.
机译:智能电网(SG)实现了能源用户与公用电网之间的双向能源和信息流,使传统的能源用户成为生产者,他们不仅产生绿色能源,而且还将多余的能源返还给公用电网。管理这些能源共享型生产者是SG的关键要求,建立目标导向的生产者社区团体是实现这一目标的有效选择。然而,发展可持续的生产者社区团体是一项挑战,而关键挑战之一就是向企业招聘有活力的生产者。社区团体。在这篇研究论文中,我们通过提出一个创新的框架来解决这一挑战,以在生产者社区团体中招聘生产者。当前的文献忽视了这一挑战,使我们的工作在研究领域变得新颖。拟议的生产者招聘框架建议,在将注册的生产者分配给生产者社区组之前,应使用迭代评估过程来主动监视其提供的服务质量。我们使用500个生产者的能源行为数据集演示了框架的功能。此外,我们提供了性能基准,以验证框架识别数据集中动态生产者并将该生产者分配给适当的生产者社区组的能力。

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