Abstract
Reliability assessment in traditional power distribution systems has played a key role in power system planning, design, and operation. Recently, new information and communication technologies have been introduced in power systems automation and asset management, making the distribution network even more complex. In order to achieve efficient energy management, the distribution grid has to adopt a new configuration and operational conditions that are changing the paradigm of the actual electrical system. Therefore, the emergence of the cyber-physical systems concept to face future energetic needs requires alternative approaches for evaluating the reliability of modern distribution systems, especially in the smart grids environment. In this paper, a reliability approach that makes use of failure modes of power and cyber network main components is proposed to evaluate risk analysis in smart electrical distribution systems. We introduce the application of Failure Modes and Effects Analysis (FMEA) method in future smart grid systems in order to establish the impact of different failure modes on their performance. A smart grid test system is defined and failure modes and their effects for both power and the cyber components are presented. Preventive maintenance tasks are proposed and systematized to minimize the impact of high-risk failures and increase reliability.
Highlights
Electric energy plays a crucial role in today’s society
This paper analyses the application of classical Failure Modes and Effects Analysis (FMEA) analysis in a smart grid environment
Seven critical conclusions can be pulled out, which allow highlighting the advantages and disadvantages concerning the practical implementation of classical FMEA in a smart grid cyber-physical system: (1)
Summary
Electric energy plays a crucial role in today’s society. It is the most versatile and controlled form of energy and it is involved in almost all aspects of society’s daily routine. Reliability aspects like increased complexity represented by the interconnection and interoperability between different types of systems are an additional aspect to consider in the smart grid context and motivates the exploration of new approaches to assess the smart grid operational reliability. In this context, Reliability Centered Maintenance (RCM) has been a solution proposed in recent years and applied to electric power systems. The classical FMEA is successful in assemble failure modes and their causes for a smart grid, the classical FMEA needs to be modified to improve risk prioritization concerning the smart grid’s reliability assessment and risk analysis
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