Composite reliability evaluation using sequential Monte Carlo simulation with maximum and minimum loadability analysis

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Computers & Electrical Engineering Pub Date : 2025-01-10 DOI:10.1016/j.compeleceng.2024.110023

Erika Pequeno dos Santos , Beatriz Silveira Buss , Mauro Augusto da Rosa , Diego Issicaba

引用次数: 0

Abstract

This paper introduces an approach to composite reliability evaluation using sequential Monte Carlo simulation with maximum and minimum loadability analysis. The approach utilizes an estimation of the maximum and minimum loadability of a given system state to avoid linearized power flow (PF) and optimal power flow (OPF) assessments in further states characterized by load transitions. The evaluation of the maximum loadability of a system state is also employed within the cross-entropy (CE) optimization procedure, as an alternative performance function to sampled states. Numerical results highlight the effectiveness of the approach and gains in runtime, in comparison with implementations of benchmark methods, for the IEEE RTS 79 test system.

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来源期刊

Computers & Electrical Engineering 工程技术-工程：电子与电气

CiteScore

9.20

自引率

7.00%

发文量

661

审稿时长

47 days

期刊介绍： The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.