Composite system reliability assessment to reduce the curtailment risk using the storage systems
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The rapidly changing demand requires more flexible power generation to meet the load. At this point, energy storage systems can play a critical role as a supply-demand balancer. This paper introduces a probabilistic and cost-effective storage integration assessment method to achieve a more reliable power system operation. For this purpose, probabilistic power flow values and the load levels, determined by Monte Carlo simulations, are used to calculate the load curtailments (LCs). After obtaining the riskiest load busses for individual and total LCs, the reliability analysis is performed, and the contingency cases are classified using the k-means clustering algorithm. At the final step of the study, the impacts of the storage system on the system reliability and cost-effectivity are compared to identify the best alternative. The proposed assessment is applied to the IEEERTS-96 test system, and the results are discussed. © 2022 IEEE.
Açıklama
7th IEEE International Energy Conference, ENERGYCON 2022 -- 9 May 2022 through 12 May 2022 -- -- 181231
Anahtar Kelimeler
Composite System Reliability Assessment, contingency analysis, Cost-effectivity, load curtailments, Monte Carlo simulations, storage systems
Kaynak
ENERGYCON 2022 - 2022 IEEE 7th International Energy Conference, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
