Growing need for smarter grid technologies
Smarter grid technologies like AI and partial discharge monitoring can enhance aging grid assets, reduce costs, and help meet evolving energy demands efficiently.
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Grid operators are increasingly turning to smarter grid technologies to address decades of underinvestment and improve system reliability. With AI analytics and partial discharge (PD) monitoring, operators can predict failures before they occur, preventing costly downtimes and extending the life of aging infrastructure.
The electricity grids in regions like the Middle East and North Africa are struggling to keep up with rising electrification and a shift to decentralized generation. Massive investments in new infrastructure—such as transformers, conductors, and transmission lines—are needed to reinforce the grid. However, supply chain issues have led to delays and rising costs for essential components, such as transformers and cables, making timely grid expansion challenging.
Partial discharge monitoring offers a solution. PD occurs when electrical insulation deteriorates, potentially causing short circuits. Over time, this can lead to system failures and costly repairs. By monitoring PD events, operators can identify issues early and prevent failures, making it possible to address problems proactively with minimal capital investment.
By integrating smart technologies like PD monitoring into predictive maintenance strategies, grid operators can reduce the risk of outages, boost reliability, and better equip aging infrastructure to meet future energy demands.
Source: Technical Review Middle East
#aging grid assets#AI analytics#Electrical Insulation#grid reliability#partial discharge monitoring#predictive maintenance#smarter grid technologies#supply chain issues
