Reliability Modeling of ROR Power Plants in Power System Adequacy Studies

Subject Areas :

Esmail Khalilzadeh ¹

1 - Department of Electrical and Computer Engineering, Arsanjan Branch, Islamic Azad University, Arsanjan, Iran

Received: 2023-11-25 Accepted : 2023-12-26 Published : 2024-01-29

Keywords: Adequacy studies, fuzzy c-means clustering, intermittency, reliability modeling, run-of-the- river power plant,

Abstract :

Deployment of renewable energies for the electricity generation is on the rise around the world. Amongst is the Run-Of-The-River (ROR) power plant whose output power is variable throughout the year depending on the river water flow of the respective river. The inherent uncertainty associated with renewable energy resources calls new stochastic modeling approaches to measure the impacts of these energies on the power system performance. The uncertain and inter­mittent nature of these plants arisen from variability of river water flow, however, has led to some problems in their integration to power systems. This paper develops an analytical reliability model for ROR power plants. The model is based on the state space analysis and combination with other renewable and conventional power plants, is devised with the intention of being used in adequacy studies of power systems. Failure of related components and the intermittent nature of river water flow are concurrently accommodated in the proposed model. The well-known technique of fuzzy c-means clustering is employed to find the optimal states of the resultant multi-state reliability model. Two reliability test systems, i.e., RBTS and IEEE-RTS, are examined to demonstrate the effectiveness of the proposed reliability model. The water flow data of Sheshpir River in Pars region of Iran is used.

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