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Genetic algorithm-based non-synchronous unit-specific optimal load-following control of multi-unit small modular reactor

Hyeon-Ho Byun, Man‐Sung Yim

2024Energy11 citationsDOIOpen Access PDF

Abstract

Small modular reactors (SMRs) serve as low-carbon energy sources with the advantage of flexible construction within small-scale power grids. Particularly, they are promising candidates for replacing existing coal-based power plants and supporting renewable energy (RE). The load-following operation of multi-unit SMR (muSMR) is essential in this regard to compensate for the intermittency of renewable energy production. To simulate realistic operations, this study assumes that muSMRs are composed of cores with varying burnup levels and applies genetic algorithm to allocate the optimal power output for each unit along with T-avg control, thereby minimizing the control rod movements. A reactor system code was developed to assign optimal power outputs for each unit, considering the core characteristics based on burnup levels. The proposed methodology was applied to replace coal in South Kalimantan, Indonesia, which is a region relying heavily on coal power for energy with limited external power transmission and consistent load fluctuation patterns, under the conditions of increased renewable energy penetration. The results showed feasible SMR deployment supporting renewables with a reduction in control rod movements and replacement costs compared to conventional methods that synchronize the power output across all SMR units. • Analysis of nuclear reactor load following using a reactor systems code with the description of xenon transient and axial offset • Control of reactor power level and axial offset under load following using T-avg control and SMC-based control rod movements • Genetic algorithm-based optimized power generation of each specific unit of muSMR for load-following • Case study analysis of Indonesia’s South Kalimantan’s electric grid to examine economic feasibility of replacing coal power with muSMR • Showing feasibility of muSMR load following in a grid with high RE penetration with reduced control rod movements and replacement costs

Topics & Concepts

Modular designUnit (ring theory)Genetic algorithmComputer scienceControl unitControl (management)Unit loadAlgorithmControl theory (sociology)EngineeringParallel computingMathematicsMechanical engineeringArtificial intelligenceOperating systemMachine learningMathematics educationAdvanced Control Systems OptimizationFault Detection and Control SystemsAdvanced Control Systems Design