Proposing an Efficient Wind Forecasting Agent Using Adaptive MFDFA

  • Ebrahim Farjah Shiraz University

Abstract

High penetration by distributed energy sources (DERs) such as wind turbines (WT) and various types of consumer havetriggered a need for new approach to coordination and control strategy to meet the stochastic wind speed of the environment.Here, a Multi Agent System is used to deliver strengthened, distributed, self-governing energy management of a multiplemicro-grid to adapt to changes in the environment. Prediction of wind speed is crucial for various aspects, such as controland planning of wind turbine operation and guaranteeing stable performance of multiple micro-grids. The main purpose of theproposed system is to account for wind variability in the energy management of a multiple micro-grid based on a hierarchicalmulti-factor system. In this study, the prediction is based on adaptive multifractal detrended fluctuation analysis (AdaptiveMFDFA). A genetic algorithm is used to solve the optimization problem. Eventually, the proposed strategy is applied to atypical MG which consists of micro turbine (MT), wind turbine (WT) and energy storage system (ESS). Evaluation of theresults show that the proposed strategy works well and can adapt the level of confidence interval in various situations.

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Published
2019-07-09
How to Cite
FARJAH, Ebrahim. Proposing an Efficient Wind Forecasting Agent Using Adaptive MFDFA. Journal of Power Technologies, [S.l.], v. 99, n. 2, p. 152–162, july 2019. ISSN 2083-4195. Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/1511>. Date accessed: 02 dec. 2022.
Section
Electrical Engineering

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