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Micro-grid Grid Robustness Management using Multi Agent Systems

机译:使用多代理系统的微电网电网鲁棒性管理

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The aim of this paper is to develop a Multi Agent System (MAS) for robustness Management in electrical energy management of a micro-grid. We take into consideration a grid associated micro-grid which contains two systems each contains solar Photo Voltaic (PV) system, wind system, a local consumer, and a battery. Foremost we compute the load trends and solar and wind power produced in the two solar units. Following which we go on to implement grid robustness management using Multi Agent System based distributed energy management of micro-grid with smart grid structure. We develop a simulation model in Java Agent Development Environment (JADE) for dynamic model which takes into account the closely knit nature of solar power, impermanence of load, dynamic appraising of grid and variation of critical loads and choose the best possible action every hour to stabilize and optimize the micro-grid inspite of certain failures. Furthermore, MAS increases the functional efficiency and thereby maximize the power production of solar micro-grid and curtails the operational cost to minimum. Thus MAS in micro-grid leads to optimization of both capital and environmental resources. Simulated working of solar generators and loads are analysed by conducting simulations for the various agent motives. Simulation studies shows the balancing of micro-grid during the grid robustness.
机译:本文的目的是开发一种多代理系统(MAS),用于微网的电能管理中的鲁棒性管理。我们考虑了一个网格相关的微网格,其中包含两个系统,每个系统都包含太阳能光伏(PV)系统,风系统,本地消费者和电池。最重要的是,我们计算了两个太阳能电池单元生产的负载趋势和太阳能和风力。以下,我们继续使用基于多代理系统的微电网与智能电网结构来实现网格稳健性管理。我们在Java Agent开发环境(JAY)中为动态模型开发了一种模拟模型,考虑了太阳能,负载无限性的紧密编织性,动态评价网格和临界负荷的变化,并选择最佳动作稳定并优化某些故障的微观网格。此外,MAS增加了功能效率,从而最大化太阳能微电网的电力产生,并将操作成本缩短至最低限度。因此,微电网中的MAS导致资本和环境资源的优化。通过对各种试剂动机进行模拟来分析太阳能发电机和负载的模拟工作。仿真研究显示了在栅格鲁棒性期间微电网的平衡。

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