A Proposed Uncertainty Reduction Criterion of Renewable Energy Sources for Optimal Operation of Distribution Systems

Power system operation and planning studies face many challenges with increasing of renewable energy sources (RESs) penetration. These challenges revolve around the RESs uncertainty and its applications on probabilistic forecasting, power system operation optimization and power system planning. This...

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Bibliographic Details
Published inApplied sciences Vol. 12; no. 2; p. 623
Main Authors Ali, Eman, El-Sehiemy, Ragab, Abou El-Ela, Adel, Tostado-Véliz, Marcos, Kamel, Salah
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.01.2022
Subjects
Accuracy
Alternative energy sources
Criteria
Diodes
distribution system analysis
Electric power distribution
Energy resources
Energy sources
Methods
Modelling
Monte Carlo simulation
Optimization
radial distribution system
Renewable energy sources
Renewable resources
System effectiveness
unbalanced power flow
Uncertainty
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Summary:Power system operation and planning studies face many challenges with increasing of renewable energy sources (RESs) penetration. These challenges revolve around the RESs uncertainty and its applications on probabilistic forecasting, power system operation optimization and power system planning. This paper proposes a novel and effective criterion for uncertainties modeling of the RESs as well as system loads. Four sorting stages are applied for the proposed uncertainty cases reduction. Added to that, it proposes three different uncertainty reduction strategies for obtaining different accuracy and speed options. The proposed reduction strategies are tested on medium and large scale distribution systems; IEEE 69-bus and 118-bus systems. The obtained results verify the effectiveness of the proposed criterion in uncertainties modeling in distribution systems with acceptable level of accuracy.
ISSN:2076-3417
2076-3417
DOI:10.3390/app12020623