By Christian Chimezie

Electricity is the backbone of modern economies, driving industries, innovation, and daily life. In Nigeria, however, the national power grid, a lifeline for millions, faces chronic instability. As reported by The PUNCH on November 6, 2024, the national grid has collapsed ten times this year alone, underscoring critical vulnerabilities in its infrastructure. These recurring failures disrupt daily life, hinder economic growth, and highlight the urgent need for innovative solutions to enhance grid reliability. Artificial Intelligence (AI) offers transformative opportunities to address these challenges and build a resilient power system capable of meeting the needs of Nigeria’s growing population and economy.

Nigeria’s grid instability stems from complex, multifaceted issues such as aging infrastructure, and struggles to meet rising demand, maintenance delays and the lack of real-time data integration exacerbate these challenges, hindering timely decision-making and prolonging outages. According to Standard Bank analysis reported by Channels TV on October 26, 2024, economic losses resulting from Nigeria’s electricity shortages are estimated at $26 billion annually, excluding an additional $22 billion spent on off-grid generators. This dire situation underscores the critical need for systemic reform.

Artificial Intelligence presents a powerful tool for addressing the vulnerabilities in Nigeria’s power grid. By integrating AI into grid management, the country can unlock advanced capabilities in predictive maintenance, load forecasting, and grid stabilisation.

One of AI’s most promising applications in the energy sector is predictive maintenance. By analysing data from Internet of Things (IoT) sensors and historical performance records, AI systems can predict equipment failures before they occur. This capability allows for timely interventions, reduces unplanned outages, and enhances overall system reliability. For instance, GE Vernova’s Geo Network Management, ADMS, AEMS, and DERMS technologies enable the creation of a Grid Digital Twin, providing a real-time, end-to-end view of network assets based on operational data and models.

Traditional load forecasting methods often fail to account for dynamic variables such as weather patterns and consumer behavior. AI, on the other hand, processes vast amounts of real-time data to generate accurate demand predictions. This precision enables power distributors to allocate resources efficiently, ensuring supply meets demand and minimizing the risk of grid overloads.

AI-driven grid stabilisation is critical for preventing widespread collapses. Through real-time monitoring and decision-making, AI systems can dynamically adjust grid operations to balance supply and demand. For example, during peak usage periods, AI can prioritise essential loads while temporarily shedding non-critical ones, maintaining grid stability and averting blackouts.

To fully leverage AI’s potential, Nigeria must invest in modernising its power infrastructure. Upgrading Supervisory Control and Data Acquisition (SCADA) systems with machine learning capabilities will enhance monitoring and control mechanisms. Establishing centralized data platforms for seamless information sharing among stakeholders is also essential for coordinated decision-making.

Globally, several countries have successfully integrated AI into their energy systems, achieving significant improvements in grid reliability and efficiency. In the United Kingdom (UK), the National Energy System Operator (NESO) is leveraging AI and machine learning to manage its grid more effectively. According to a May 26, 2023, article by NESO, their Energy AI Centre of Excellence aims to enhance data science capabilities to support the UK’s net-zero targets through five core functions: a central collaboration library, a talent development academy, a global AI resource marketplace, cross-industry partnerships, and an experimental lab for testing innovative solutions. Currently in its Minimal Viable Point (MVP) stage, this initiative demonstrates how AI and machine learning can drive digitalization in the energy sector. Nigeria can adapt these strategies to its unique context, building a more resilient and sustainable grid.

The repeated collapse of Nigeria’s national grid is a wake-up call for urgent action. By leveraging AI, the country can transform its energy landscape, ensuring a stable, efficient, and sustainable power supply. Collaboration between policymakers, industry leaders, and technology innovators is essential to this effort. Together, they can lay the foundation for a future where power outages are a thing of the past, and reliable electricity powers Nigeria’s growth and development.

The time to act is now. AI is not merely a tool but a necessity for creating robust energy systems that Nigeria desperately needs.

Christian is an analyst at National Grid in the UK. He can be contacted via email at chimeziechristiancc@gmail.com.