2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) 2016
DOI: 10.1109/appeec.2016.7779913
|View full text |Cite
|
Sign up to set email alerts
|

A method for optimal sizing hybrid energy storage system for smoothing Fluctuations of Wind Power

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
3
3
1

Relationship

0
7

Authors

Journals

citations
Cited by 15 publications
(2 citation statements)
references
References 6 publications
0
2
0
Order By: Relevance
“…For this purpose, certain researchers suggest solutions such as the combination of lithium-ion batteries with supercapacitors or fuel cells. For example, Pang et al [109] have developed a method for the optimal sizing of HESS the purpose of which is to smoothen the fluctuations of wind power. In this case, the HESS comprises batteries and supercapacitors, whereas Chong et al [110] review the effectiveness of HESS comprising batteries and fuel cells in microgrids with PV systems and WFs [111].…”
Section: Future Trends and Challengesmentioning
confidence: 99%
“…For this purpose, certain researchers suggest solutions such as the combination of lithium-ion batteries with supercapacitors or fuel cells. For example, Pang et al [109] have developed a method for the optimal sizing of HESS the purpose of which is to smoothen the fluctuations of wind power. In this case, the HESS comprises batteries and supercapacitors, whereas Chong et al [110] review the effectiveness of HESS comprising batteries and fuel cells in microgrids with PV systems and WFs [111].…”
Section: Future Trends and Challengesmentioning
confidence: 99%
“…Various RRL approaches techniques have been proposed in the literature for Photovoltaics (PV) [11], [12] and Wind Farms [13], [14] considering several ESS types: Battery ESS (BESS), [11], [13], Supercapacitors (SCs) [3], [15], or hybrid ESS, [14]. These methods can be categorized as [4]: (i) moving average methods, [16]; (ii) filter-based approaches, [13], [15]; (iii) direct RRL methods, [3], [7], [17].…”
Section: Introductionmentioning
confidence: 99%