학술논문

Determination of Hybrid Energy Storage System Capacity based on Empirical Mode Decomposition for a High PV Penetrated Standalone Microgrid
Document Type
Conference
Source
2018 Australasian Universities Power Engineering Conference (AUPEC) Power Engineering Conference (AUPEC), 2018 Australasian Universities. :1-6 Nov, 2018
Subject
Power, Energy and Industry Applications
Batteries
Probabilistic logic
Cutoff frequency
Optimization
Empirical mode decomposition
Australia
Capacity Determination
Energy Storage Systems (ESS)
Empirical Mode Decomposition (EMD)
Photovoltaic (PV)-Battery-Diesel hybrid systems
Language
ISSN
2474-1507
Abstract
This paper targets to introduce a novel approach for capacity determination of a hybrid energy storage system (HESS) of a standalone microgrid with high PV penetration. The imbalance power between solar PV and load is decomposed to yield its frequency-time components using Empirical Mode Decomposition (EMD) technique. Statistical characteristics of the components are then matched against the attributes of the energy storage devices, namely the electrochemical battery and supercapacitors. This is to achieve the collective benefit of the two storage media in their unique power and energy handling capabilities. This integrated approach is utilized to smoothen the PV variations in the most cost-effective manner. Concurrently, a proposed design procedure is used to determine the storage capacities of the hybrid energy storage system to avoid penalty of un-met load.