Power management of Renewable mix in island mode using multiagent system

R. Khare, Y. Kumar
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Abstract

To overcome the challenges of less reliability, lack of efficient power management strategies and complex decision making a multiagent based application is proposed for smart power management and optimal sizing of renewable mix in island mode. Here paper discussed overall design concept of the system, modeling of agents models along with optimal sizing of hybrid system by applying optimization technique. LabVIEW software is appropriate for designing of multiagent architecture because of its parallel processing ability. The proposed model consists of various agents who work together for maintaining proper power management of the system. The methodology was constructed by using meteorological data from Renewable Energy laboratory of Electrical Engineering department, MANIT Bhopal situated in Madhya Pradesh, India. Optimal sizing of IHRES is done on the basis of solar irradiation, wind speed, demand load, reliability index and CO2 emission through diesel generator. Economic aspects of hybrid system and the overall performance can be improved by adopting the proposed method.
基于多智能体系统的孤岛模式下可再生能源电力管理
针对孤岛模式下电力系统可靠性低、缺乏有效的电力管理策略和决策复杂等问题,提出了一种基于多智能体的智能电力管理和可再生能源发电机组规模优化方案。本文讨论了系统的总体设计思想、智能体模型的建模以及应用优化技术优化混合系统的规模。LabVIEW软件具有并行处理能力,适合设计多智能体体系结构。提出的模型由各种代理组成,这些代理共同工作以维护系统的适当电源管理。该方法是利用位于印度中央邦MANIT Bhopal的电气工程系可再生能源实验室的气象数据构建的。根据太阳辐照度、风速、需求负荷、可靠性指标和柴油发电机组CO2排放等因素对IHRES进行了优化设计。采用该方法可以提高混合动力系统的经济性和整体性能。
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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