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首页> 外文期刊>Energy >Dynamic multi agent-based management and load frequency control of PV/Fuel cell/ wind turbine/ CHP in autonomous microgrid system
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Dynamic multi agent-based management and load frequency control of PV/Fuel cell/ wind turbine/ CHP in autonomous microgrid system

机译：自主微电网系统中基于动态多主体的光伏/燃料电池/风力发电机/热电联产管理和负荷频率控制

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This work proposes an adaptive Multi-Input and Single-Output fuzzy controller which is designed in a supervisory manner for a multi-agent system. This paper mainly aims to control the frequency oscillation of each agent and minimize the production cost of the whole interconnected system. In the proposed controller, the load frequency control and management controller loops are integrated into the designing phase. In many parallel works, designing a load frequency controller and managing unit have been carried out separately which leads to disturbance in both outputs. In the present work, the disruption is eliminated by the implementation of the proposed controlling method. To improve the performance of the proposed controller, the key parameters of the controller are tuned using the modified particle swarm optimization algorithm. The designed control system namely "distributed control method" is applied for several independent units (agents). The controller parameters are tuned in a supervisory manner for the considered multi-agent system, where each agent is connected to the adjacent agents. A wide range of operation points is regarded in the designing phase to adjust the parameters in a way that the controller can effectively control the system in the whole of this range. (C) 2019 Elsevier Ltd. All rights reserved.
机译：这项工作提出了一种自适应的多输入单输出模糊控制器，该控制器以监督方式设计用于多主体系统。本文的主要目的是控制每个代理的频率振荡并最大程度地降低整个互连系统的生产成本。在提出的控制器中，负载频率控制和管理控制器回路已集成到设计阶段。在许多并行工作中，负载频率控制器和管理单元的设计是分开进行的，这会导致两个输出的干扰。在本工作中，通过实施所提出的控制方法消除了干扰。为了提高所提出控制器的性能，使用改进的粒子群优化算法对控制器的关键参数进行了调整。设计的控制系统，即“分布式控制方法”，适用于几个独立的单元（代理）。对于所考虑的多主体系统，以监督方式调整控制器参数，其中每个主体都连接到相邻的主体。在设计阶段，可以考虑多种操作点来调整参数，以便控制器可以在整个范围内有效地控制系统。 （C）2019 Elsevier Ltd.保留所有权利。

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