Optimal Microgrid Energy Scheduling with Variable Solar PV Generation

Dweekat, Anan A.; Shaaban, Mohamed

doi:10.1109/encon.2019.8861267

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

Publication Types

Select...

Article1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Solar PV is among the category of variable RES. Solar irradiance, which is a measure of how much solar power is received, has a direct relation to the energy generated from solar PV panels [14]. Solar PV energy output thus depends on sunshine hours, clouds, and other related weather conditions [15].…”

Section: Introductionmentioning

confidence: 99%

On the dispatch of minigrids with large penetration levels of variable renewable energy

Dweekat

Shaaban

Ngu

2021

IJEECS

Self Cite

View full text Add to dashboard Cite

The continuous use of fossil fuels for decades in electricity generation has led to dire environmental consequences. This has fostered the incorporation of variable renewable energy resources (RES) to improve the environmental outlook and minimize emissions. This paper presents an approach for the dispatch of a minigrid considering variable solar photovoltaic (PV) generation. Due to the variability of the solar irradiance received from the sun during daytime only, solar irradiance is modeled as a stochastic random variable that is fitted into a Beta probability density function (PDF). The minigrid dispatch problem, modeled using stochastic optimization, is then approximated into a linear equivalent to become a mixed integer linear programming (MILP) problem that can be solved efficiently. The proposed approach is implemented on the modified IEEE 14-bus test system to verify its capability in solving the minigrid dispatch under various test case scenarios. <em> </em>

show abstract

Section: Introductionmentioning

confidence: 99%