Composite system reliability assessment to reduce the curtailment risk using the storage systems

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Institute of Electrical and Electronics Engineers Inc.

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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.


7th IEEE International Energy Conference, ENERGYCON 2022 -- 9 May 2022 through 12 May 2022 -- -- 181231

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Composite System Reliability Assessment, contingency analysis, Cost-effectivity, load curtailments, Monte Carlo simulations, storage systems


ENERGYCON 2022 - 2022 IEEE 7th International Energy Conference, Proceedings

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