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access icon free Reliability assessment of a multi-state distribution system with microgrids based on an accelerated Monte-Carlo method

© The Institution of Engineering and Technology
Received 14/11/2017, Accepted 22/04/2018, Revised 17/03/2018, Published 25/04/2018

For the reliability assessment of a distribution system with microgrids (MGs), considerable computation time has to be cost to ensure convergence of an applied Monte-Carlo method (MCM) to estimating indices of interest, in the context of adopting multi-state models of constituent components. Towards achieving an efficient and accurate reliability assessment as much as possible, multi-state models of distributed generation resources, especially the battery energy storage system, are proposed. Based on the proposed models, effect analysis of a given sampled MG state is conducted in a proposed analytical manner. Moreover, an accelerated MCM nesting the proposed effect analysis methodology is also presented, dedicated to reliability evaluation of a resulting multi-state distribution system from the multi-state constituent components. Case studies on a modified IEEE-RBTS Bus6 F4 system demonstrate the effectiveness of the proposed method, against the plain MCM. In addition, impact of an important parameter, termed total state number of state-of-charge, on the convergence and speed of the proposed method has been fully analysed.

Inspec keywords: Monte Carlo methods; power generation reliability; distributed power generation; battery storage plants; power distribution reliability

Other keywords: accelerated Monte-Carlo method; modified IEEE-RBTS Bus6 F4 system; distributed generation resource; sampled MG state; multistate distribution system; multistate constituent component; reliability assessment; effect analysis methodology; battery energy storage system; microgrid; accelerated MCM

Subjects: Other power stations and plants; Distributed power generation; Reliability; Monte Carlo methods; Distribution networks

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