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Current Limit Avoidance Algorithms for DEMO Operation.

Authors :
di Grazia, Luigi Emanuel
Frattolillo, Domenico
De Tommasi, Gianmaria
Mattei, Massimiliano
Source :
Journal of Optimization Theory & Applications. Sep2023, Vol. 198 Issue 3, p958-987. 30p.
Publication Year :
2023

Abstract

Tokamaks are the most promising devices to prove the feasibility of energy production using nuclear fusion on Earth which is foreseen as a possible source of energy for the next centuries. In large tokamaks with superconducting poloidal field (PF) coils, the problem of avoiding saturation of the currents is of paramount importance, especially for a reactor such as the European demonstration fusion power plant DEMO. Indeed, reaching the current limits during plasma operation may cause a loss of control of the plasma shape and/or current, leading to a major disruption. Therefore, a current limit avoidance (CLA) system is essential to assure safe operation. Three different algorithms to be implemented within a CLA system are proposed in this paper: two are based on online solutions of constrained optimization problems, while the third one relies on dynamic allocation. The performance assessment for all the proposed solutions is carried out by considering challenging operation scenarios for the DEMO reactor, such as the case where more than one PF current simultaneously saturates during the discharge. An evaluation of the computational burden needed to solve the allocation problem for the various proposed alternatives is also presented, which shows the compliance of the optimization-based approaches with the envisaged deadlines for real-time implementation of the DEMO plasma magnetic control system. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00223239
Volume :
198
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Optimization Theory & Applications
Publication Type :
Academic Journal
Accession number :
171309242
Full Text :
https://doi.org/10.1007/s10957-023-02277-2