Work

Flow-Network-Based Method for the Reliability Analysis of Decentralized Power System Topologies With a Sequential Monte-Carlo Simulation

Year: 2023

Type: article

Abstract: This article introduces a sequential Monte-Carlo simulation method (MCS) based on flow networks to represent decentralized power systems and evaluate the reliability and availability of their topologies. It can be used to provide a comparison basis during the system design phase. The method can be employed to simulate a variety of types of decentralized local power systems. It is able to simulate bidirectional, radial, and meshed systems with both repairable and nonrepairable elements. Examples of elements that can be simulated include power sources, loads, and energy-storage units. The determination of system success is performed using a minimum-cost-maximum-flow graph algorithm that calculates the power delivered to the system loads given the state of the system components. If the loads are being properly supplied, the system is deemed functional. The simulation can accommodate additional sets of rules for system success if needed. The method can generate a variety of indices for system availability and reliability based on the system topology and the parameters of its individual components. Three example systems are presented and simulated to showcase the method's capabilities.

Source: IEEE Transactions on Reliability

DOI: 10.1109/tr.2023.3336359

Authors: Matheus Montanini Breve, Bernd Bohnet, Gabriele Michalke, Julia Kowal, Kai Strunz

Institutions: Robert Bosch (Germany), Technische Universität Berlin

Language: English

Topic: Power System Reliability and Maintenance

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: hybrid

Estimated APC paid: $2,345