Proposing an efficient wind forecasting agent using adaptive MFDFA

• Autorzy: Mozaffarilegha Mahdi , Farjah Ebrahim
• Języki publikacji: EN

Abstrakty

EN

High penetration by distributed energy sources (DERs) such as wind turbines (WT) and various types of consumer have triggered 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 multiple micro-grid to adapt to changes in the environment. Prediction of wind speed is crucial for various aspects, such as control and planning of wind turbine operation and guaranteeing stable performance of multiple micro-grids. The main purpose of the proposed system is to account for wind variability in the energy management of a multiple micro-grid based on a hierarchical multi-factor system. In this study, the prediction is based on adaptive multifractal detrended fluctuation analysis (Adaptive MFDFA). A genetic algorithm is used to solve the optimization problem. Eventually, the proposed strategy is applied to a typical MG which consists of micro turbine (MT), wind turbine (WT) and energy storage system (ESS). Evaluation of the results show that the proposed strategy works well and can adapt the level of confidence interval in various situations.

Słowa kluczowe

EN

energy management system; multiple micro-grid; multi-agent system; wind forecasting; multifractal detrended fluctuation analysis; MFDFA; adaptive MFDFA

PL

system zarządzania energią; mikrosieć; system wieloagentowy; prognozowanie wiatru; multifraktalna beztrendowa analiza fluktuacyjna

• Wydawca: Institute of Heat Engineering, Warsaw University of Technology
• Czasopismo: Journal of Power Technologies
• Rocznik: 2019
• Tom: Vol. 99, nr 2
• Strony: 152--162
• Opis fizyczny: Bibliogr. 32 poz., rys., tab., wykr.

Twórcy

autor

Mozaffarilegha Mahdi

• Department of Electrical Engineering of Shiraz University, Shiraz, Iran

autor

Farjah Ebrahim

• Department of Electrical Engineering of Shiraz University, Shiraz, Iran

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).