2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) 2016
DOI: 10.1109/pedes.2016.7914546
|View full text |Cite
|
Sign up to set email alerts
|

Techno-economic modeling of Wind-Solar PV and Wind-Solar PV-Biomass hybrid energy system

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 11 publications
(3 citation statements)
references
References 5 publications
0
3
0
Order By: Relevance
“…Optimization refers to the method of determining the best alternative solutions, and it has been applied for energy management in MGs. The four types of optimization objectives in an MG are the economic, environmental, and technical objectives and the consumption strategy [54]. Notably, multi-objective problem (MOP) optimization techniques have gained extensive attention.…”
Section: Optimizationmentioning
confidence: 99%
“…Optimization refers to the method of determining the best alternative solutions, and it has been applied for energy management in MGs. The four types of optimization objectives in an MG are the economic, environmental, and technical objectives and the consumption strategy [54]. Notably, multi-objective problem (MOP) optimization techniques have gained extensive attention.…”
Section: Optimizationmentioning
confidence: 99%
“…The use of stand-alone PV systems or wind turbine installations needs storage systems with an overall high cost of output energy. The final solution to reduce these costs is to merge them into hybrid systems [5,6].…”
Section: Introductionmentioning
confidence: 99%
“…In contrast, it is expected that an RES such as a PV system or a wind power system will be widely installed and operated in order to overcome global environmental issues [14]. However, operation problems such as output fluctuation or unpredictability may occur if the RES is integrated with the power grid [15].…”
Section: Introductionmentioning
confidence: 99%