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This review evaluates whether quantum algorithms like HHL and QAOA can overcome the computational bottlenecks traditional computers face when managing complex, renewable-heavy smart grids. By mapping existing research on monitoring, planning, and security, it highlights specific scenarios where quantum superposition offers a genuine advantage over classical optimization methods for large-scale linear equations and combinatorial problems.
Researchers Review Quantum Computing’s Role in Smart Grids
Can existing optimisation algorithms adequately manage increasingly complex power grids burdened by fluctuating renewable energy sources? Quantum algorithms such as HHL and QAOA now offer potential solutions for large systems of linear equations and combinatorial optimization problems respectively, exceeding previous capabilities in these areas. This review consolidates knowledge regarding how this emerging technology might reshape smart grid monitoring, planning, control and security protocols.
Modern power grids face growing complexity due to increased distributed energy resources. The review clarifies how quantum computing can address limitations in smart grid operations, specifically monitoring, planning, control, security and data analysis, by classifying existing studies and assessing their potential for computational advantage. As electricity grids integrate more renewable sources like wind and solar power, managing them becomes increasingly difficult for traditional computers because optimisation tasks become far more complex. A thorough review has classified existing studies exploring how emerging quantum…
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