Reliability assessment of composite power systems containing sea wave slot‐coned generators. Issue 16 (23rd November 2020)

• Record Type: Journal Article
• Authors: Ghaedi, Amir; Gorginpour, Hamed
• Is Part Of: IET renewable power generation. Volume 14:Issue 16(2020)
• Page Start: 3172
• Page End: 3180
• Publication Date: 2020-11-23
• Subjects: power generation reliability -- load shedding -- numerical analysis -- linear programming -- wave power generation -- load flow -- fuzzy set theory -- pattern clustering -- demand side management; reliability assessment -- sea wave slot‐coned generator -- commercial‐scale wave energy converters -- onshore power plant -- wave energy converters -- high capacity electric power -- generated power -- sea wave SSG -- wave period -- wave height -- multistate reliability model -- reliability model states -- wave‐energy converters -- reliability indices -- transmission networks -- Roy Billinton test system -- IEEE reliability test system -- composite power‐test system -- large‐scale SSG -- XB‐index -- fuzzy c‐means clustering -- contingency analysis method -- DC load‐flow method -- generation networks -- load curtailment -- load‐shedding program -- linear programming -- interior‐point‐approach -- numerical analysis; Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/iet-rpg.2020.0572
• Languages: English
• ISSNs: 1752-1416

Abstract

Abstract : The generated power of the Sea‐wave slot‐coned generator (SSG), as one of the high capacity wave energy converters, is dependent on the period and height of the waves. The generated power of this energy‐converter changes due to the variation in these parameters. Thus, different aspects of the power systems may be affected that must be investigated by increasing the share of these converters for electricity production in the power‐systems. In this paper reliability assessment of composite power‐systems containing large‐scale SSG is performed. The Xie and Beni (XB) index is calculated for obtaining the optimum number of states in the reliability model of the SSG and fuzzy c‐means clustering technique is proposed for reducing the number of states of the model. The contingency analysis method is proposed for calculating the reliability indices of the composite power‐system incorporating large‐scale SSG. DC load‐flow method, which considers line capacity, is used to perform load‐flow in the composite power‐system including generation and transmission networks. In the proposed technique, a load‐shedding program with the goal of minimizing the value of lost load is solved using of the linear programming method based on the interior‐point‐approach for contingency states leading to the load curtailment.