A Fuzzy Based Aproach for Battery Controller for Microgrid

Author:

MITKARI MOHIT1,BAWAGE ANKITA2,PATE PAWAN1,tawani lata1

Affiliation:

1. M.S. BIDVE ENGINEERING COLLEGE LATUR, MAHARASHTRA, INDIA

2. V.D.F. SCHOOL OF ENGINEERING AND TECHNOLOGY LATUR, MAHARASHTRA INDIA.

Abstract

Abstract

This paper presents a fuzzy-based approach for designing a charging-discharging controller for lithium-ion batteries in microgrid applications. The goal is to enhance the efficiency and performance of battery systems within microgrids. The proposed controller utilizes fuzzy logic techniques to handle uncertainties and imprecise information, providing robust and adaptive control in real-time scenarios. The controller's fuzzy rules consider factors such as battery state of charge, load demand, and renewable energy availability to determine optimal charging and discharging strategies. Simulation results demonstrate the effectiveness of the fuzzy-based controller in improving battery utilization, ensuring stable microgrid operation, and enhancing overall system performance. This research contributes to the advancement of battery control strategies in microgrids, promoting more efficient and sustainable energy management systems.

Publisher

Springer Science and Business Media LLC

Reference28 articles.

1. S. Kouro, J. I. Leon, D. Vinnikov, and L. G. Franquelo, “Grid-connected photovoltaic systems: An overview of recent research and emerging pv converter technology,” IEEE Industrial Electronics Magazine, vol. 9, no. 1, pp. 47–61, 2015.

2. B. Tarroja, B. Shaffer, and S. Samuelsen, “The importance of grid integration for achievable greenhouse gas emissions reductions from alternative vehicle technologies,” Energy, vol. 87, pp. 504–519, 2015.

3. S. Koohi-Kamal, N. Rahim, H. Mokhlis, and V. Tyagi, “Photovoltaic electricity generator dynamic modeling methods for smart grid applications: A review,” Renewable and Sustainable Energy Reviews, vol. 57, pp. 131–172, 2016.

4. M. De Giorgi, P. Congedo, and M. Malvoni, “Photovoltaic power forecasting using statistical methods: impact of weather data,” IET Science, Measurement & Technology, vol. 8, no. 3, pp. 90–97, 2014.

5. N. Karami, N. Moubayed, and R. Outbib, “General review and classification of different mppt techniques,” Renewable and Sustainable Energy Reviews, vol. 68, pp. 1–18, 2017.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3