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Optimization of task sharing towards multi-agent control of PEBB based power systems

机译:基于PEBB的电力系统多任务控制的任务共享优化

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In a power electronic system with several multi-functional Power Electronics Building Blocks (PEBB) converters, one big challenge is the control coordination of the power electronic devices to ensure stability and power quality as well as feeding the loads and manage energy storage. In this context, we aim at finding an optimal coordination method in the form of task sharing among the PEBB converters. In this paper, the task sharing of the PEBBs converters is defined and facilitated by solving optimization problems. Sharing coefficients that quantify the contribution of individual converters are defined based on the Currents' Physical Components (CPC) Theory. As the first step towards Multi-Agent System (MAS) control of the PEBB based power system, the optimization of the task sharing is performed in a centralized manner by a system agent. Each PEBB converter is controlled by a local agent that receives the reference signal from the system agent. The optimization for the criterion of equal utilization of the converters and the criterion of minimum losses has been performed on a Microgrid test case in simulation.
机译:在具有多个多功能电力电子构建块(PEBB)转换器的电力电子系统中,最大的挑战是电力电子设备的控制协调,以确保稳定性和电能质量以及馈入负载和管理能量存储。在这种情况下,我们旨在以PEBB转换器之间任务共享的形式找到一种最佳的协调方法。在本文中,通过解决优化问题定义并促进了PEBBs转换器的任务共享。基于电流的物理成分(CPC)理论,定义了量化各个转换器贡献的共享系数。作为基于PEBB的电力系统实现多代理系统(MAS)控制的第一步,任务共享的优化由系统代理以集中方式执行。每个PEBB转换器均由本地代理控制,该代理从系统代理接收参考信号。在仿真中对Microgrid测试用例进行了转换器均等利用准则和最小损耗准则的优化。

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