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Incremental Cost Consensus(ICC) and leaderless ICC implementations in FREEDM

机译:FREEDM中的增量成本共识(ICC)和无领导者ICC实施

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In a smart grid, the economic dispatch problem is an optimization problem whose objective is to reduce the total generation cost, subject to some constraints. The Incremental Cost Consensus (ICC) algorithm and Leaderless Incremental Cost Consensus (LICC) resolve the economic dispatch problem in a distributed fashion. Unlike prior work that implements ICC and LICC in simulation, in this paper, we implement ICC and LICC in a smart grid system: the Future Renewable Electric Energy Delivery and Management (FREEDM) system. In FREEDM, energy resources are managed through the Distributed Grid Intelligence (DGI), which provides coordinated control by applying distributed algorithm. Message complexity and total time of ICC and LICC in DGI are reported and shown to correspond to the simulation.
机译:在智能电网中,经济调度问题是一个优化问题,其目的是降低截至某些约束的总成本。增量成本共识(ICC)算法和无线增量成本共识(LICC)解决了分布式时尚的经济派遣问题。与在仿真中实现ICC和LICC的事先工作不同,本文在智能电网系统中实施ICC和LICC:未来可再生电能传递和管理(FREEDM)系统。在FREEDM中,通过分布式网格智能(DGI)管理能源资源,通过应用分布式算法提供协调控制。报告了DGI中ICC和LICC的消息复杂性和总时间,并显示对应于模拟。

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