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Keywords
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wave energy converter, reliability, sea wave slot-coned generator (SSG), fuzzy c-means clustering, wave height, wave period, composite power system
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Abstract
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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 loadshedding
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.
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