Electricity distribution systems (EDSs) are essential pieces of infrastructure for nations worldwide. However, the key assets constituting these systems can be exposed to various forms of risk. The purpose of this research was to explore and explicate the risk management methods applied to electricity distribution system asset management in the United Arab Emirates (UAE) electricity markets. It was a secondary research that encompassed the use of the existing data to explore this issue and address the research questions. The research findings revealed the electricity distribution system asset management exists in the form of real time, mid-term, and long-term. Moreover, it was found that this system could be exposed to economic, environmental, quality, reputational, vulnerability and regulatory risks. Finally, the research findings revealed risk management methods that could be used to the system in the UAE electricity markets are categorized as simplified, standard, and model-based. This study recommended that UAE companies operating in the electricity industry should apply a holistic risk analysis in their electricity distribution system asset management.
Long-Term Maintenance Scheduling of Smart Distribution System through a PSO-TS Algorithm
