Improved Static Capacity Configuration for Hybrid Power Supply Scheme With Energy Storage Based on NSGA in Tokamak

Power impact frequently occurs during operation of shock loads, such as fusion devices, threatening the stable operation of the power system. Meanwhile, both short-time high pulse and long-time steady power exist, which have distinct time scales and amplitude characteristics. Currently, the capacity of power supply system is designed according to the maximum impulse power, causing the large redundancy and high cost. Aiming at this issue, hybrid power supply scheme based on energy storage technology with high power density provides a potential approach. However, little research focuses on the reasonable static configuration for different type of power supply. This paper presents the non-dominated sorting genetic algorithm (NSGA) algorithm to divide the two kinds of power, where impulse power can be treated by high-density energy storage and stable power is sustained by substation devices. In specific, taking the static investment and dynamic response of energy storage as the objectives, the critical optimal power can be determined. Finally, power scenario based on a typical Tokamak fusion device, international thermos-nuclear experimental reactor (ITER), is applied as case study of the proposed algorithm. The results show that the obtained crucial power can reasonably decrease the static capacity for substation to achieve the optimal economy and satisfy the mentioned objectives, providing the basis for other static capacity allocation circumstances and assisting accurate and high-efficiency smart control for power converters.