The work presented in this paper describes a multi-issue negotiation protocol between active consumers and a management platform in order to establish load coordination in a highly congested network. The multi-issue negotiation protocol considers simultaneously the consumption interval, the price, and the size of the energy packages, which is the main contribution of this work . Regarding the implementation methodology, the proposed algorithms have been implemented using MATLAB classes that allow emulating the behaviour of a multi-agent system in which each vehicle is an agent that interacts with the platform, which is another agent. In the present work, and without loss of generality, the algorithm is applied to coordinate the charging of electric vehicles (EVs) in a distribution network in which building loads represent critical loads. The algorithm is tested in a realistic environment, and its stability and performance are evaluated. Furthermore, the description of the algorithm is provided in a generic form, and it could be applied to any other scenario.

中文翻译：

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高度拥塞配电网络中的多问题协商电动汽车充电机制

本文介绍的工作描述了活跃消费者和管理平台之间的多问题协商协议，以便在高度拥塞的网络中建立负载协调。多问题协商协议同时考虑了能源包的消耗间隔、价格和大小，这是这项工作的主要贡献。关于实现方法，所提出的算法已使用 MATLAB 类实现，这些类允许模拟多代理系统的行为，其中每辆车都是与平台交互的代理，平台是另一个代理。在目前的工作中，在不失一般性的情况下，该算法被应用于协调配电网络中电动汽车 (EV) 的充电，其中建筑负荷代表关键负荷。该算法在现实环境中进行了测试，并对其稳定性和性能进行了评估。此外，算法的描述是以通用形式提供的，它可以应用于任何其他场景。