Abstract
Expanded integration of wind energy implies technical confronts to maintain system reliability. Thus, comprehensive reliability models for wind turbines and related features are required. Composite and precise wind farms (WFs) reliability analysis includes wind turbine generator (WTG) detailed models besides wind speed (WS) probabilistic variations considering wake effects. This paper is considered as an extension to the proposed multi-state duration sampling model to asses WTG reliability integrated with a comprehensive representation for WF [1]. The paper investigates the impacts of two WTG frequency support operation algorithms on capacity factors and first hierarchical level indices. LOEE is evaluated using a novel method to emphasis the chronological coordination between load and WS attitudes. System and load points' reliability indices are estimated at moderate penetration levels of wind energy using a simplified technique. Results insure the feasibility of the composite WTG reliability model and provide reasonable indicators for WFs integration influence.
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