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A comparison of two GIV mechanisms for providing ancillary services at the University of Delaware

机译:两种GIV机制在特拉华大学提供辅助服务的辅助服务

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At the University of Delaware, we are providing ancillary services by controlling the bidirectional power transfer between 15 EVs and the grid. To control this power transfer, a set of algorithms, models and interactions is used, called a “GIV (Grid Integrated Vehicle) mechanism”. In literature, many GIV mechanisms are proposed. However, because these mechanisms are evaluated independently in specific scenarios, their differences are not always clear. In this paper, we take a first step in tackling this challenge by comparing two different GIV mechanisms in the same scenario at the University of Delaware: a decentralized and a centralized mechanism. In the decentralized mechanism, which is currently operational at our test environment, EVs decide autonomously on the amount of power available for ancillary services. In the centralized mechanism, a central server gathers all EV information and makes a decision for all EVs. In evaluation, both GIV mechanisms are compared with each other. Simulation results show that the centralized mechanism outperforms its decentralized counterpart in terms of available power for ancillary services. On the other hand, the decentralized mechanism enables large-scale integration by distributing computations across all EVs.
机译:在特拉华大学,我们通过控制15个EVS和网格之间的双向动力传递来提供辅助服务。为了控制该电源传输,使用一组算法,模型和交互,称为“GIV(网格集成车辆)机制”。在文献中,提出了许多GIV机制。但是,因为这些机制在特定场景中独立评估,因此它们的差异并不总是清晰。在本文中,我们通过比较特拉华大学同一情景中的两种不同的GIV机制来解决这一挑战:分散和集中机制。在经常在我们的测试环境中运营的分散机制中,EVS自主决定了可用于辅助服务的电力量。在集中机制中,中央服务器收集所有EV信息,并对所有EV做出决定。在评估中,两种GIV机制都与彼此进行比较。仿真结果表明,集中机制在可用的辅助服务的可用电力方面优于其分散的对应物。另一方面,分散机制通过在所有EVS上分配计算来实现大规模集成。

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