Distributed Control Based Multi Agent System for Energy Management of Hybrid Microgrids System

P. Balachennaiah, J. Chinnababu
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Abstract

Systems for power generation which can be installed at the customer’s premises are termed as Microgrids. These comprise, generating sets of various capacities and modes, which cater to the captive consumption and on surplus, feedback to the grid. Mostly these microgrids comprise of renewable energy sources, as they are trending and becoming popular, worldwide, because of their scope for miniaturization and flexibility in configuration. Sources like PV cells, Wind power, Battery operated systems, are the key ingredients of micro grids. In view of the heterogeneous nature of the sources of power generation, stable operation is vital and is ensured by adopting a Multi Agent System (MAS), which is concerned with modelling and autonomous decision making capabilities. Two micro-grids, each with 1. 5Kw power of wind and 1Kw of solar power, a 24V, 150Ah battery, at a local load are considered under this paper which form the Hybrid Micro Grid System (HMGS). The simulation model is conceptualized in Java Agent Development Environment (JADE) which can manage the heterogeneous system. The consideration of carbon credits in the overall system proved to be environmentally beneficial. HMGS model is designed and constructed by the NREL’s HOMER Pro package, well noted as a commercial optimization tool for the renewable energy systems. The results of CO2 emissions in standalone hybrid microgrid system register a steep fall compared to traditional system with grid.
基于分布式控制的混合微电网能量管理多智能体系统
可以安装在客户场所的发电系统被称为微电网。这些包括各种容量和模式的发电机组,以满足自备消费和盈余,反馈给电网。这些微电网大多由可再生能源组成,因为它们具有小型化和配置灵活性的范围,因此在全球范围内变得越来越流行。光伏电池、风能、电池供电系统等资源是微电网的关键组成部分。考虑到发电源的异构性,稳定运行至关重要,并通过采用多智能体系统(MAS)来保证,该系统涉及建模和自主决策能力。两个微电网,每个有1个。本文考虑在局部负载下5Kw的风能和1Kw的太阳能,一个24V, 150Ah的电池组成混合微电网系统(HMGS)。在Java Agent Development Environment (JADE)中对异构系统的仿真模型进行了概念化。在整个系统中考虑碳信用额被证明是有利于环境的。HMGS模型是由NREL的HOMER Pro软件包设计和构建的,该软件包作为可再生能源系统的商业优化工具而闻名。与传统的并网系统相比,独立混合微电网系统的二氧化碳排放结果急剧下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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