Title of article :
Reliability evaluation of power systems containing tidal power plant
Author/Authors :
mirzadeh ، Mostafa Department of Electrical Engineering - Islamic Azad University, Marvdasht Branch , Simab ، Mohsen Department of Electrical Engineering - Islamic Azad University, Marvdasht Branch , Ghaedi ، Amir Department of Electrical Engineering - Islamic Azad University, Dariun Branch
From page :
28
To page :
38
Abstract :
Nowadays renewable energy resources have been experiencing rapid progress in electric power networks all over the world. As a result, it is important that these clean electrical power resources be utilized for power generation in the modern power systems in the planning and operation studies. However, the un certainty related to these energy resources and their intermittent nature result in some challenges when integrating into the power networks. The reliability of power systems is affected when the penetration level of these intermittent renewable power generations is significant. In this regard, this paper intro duces an analytical technique to study the adequacy of a power system containing significant tidal power generation. For this purpose, a multi-state reliability model of a tidal plant considering both failure rate of composed components and variation in the generated power arisen from variation in the tidal current speed is developed. At first, an equivalent reliability model considering failure effects of composed com ponents is obtained. Then Fuzzy-C-means clustering method is applied for reducing numerous values of the output power of the plant. For determining the optimum number of states in the model, XB index is calculated. The proposed multi-state model is then used for adequacy studies of RBTS and IEEE-RTS and the related indices of these systems in the presence of tidal units are evaluated.
Keywords :
Tidal power plant , Adequacy indices , Fuzzy c , means clustering , Tidal current speed , state reduction
Journal title :
Journal of Energy Management and Technology
Journal title :
Journal of Energy Management and Technology
Record number :
2579502
Link To Document :
بازگشت