Using Evolutionary Algorithm to Develop a Feed Forward Control for CSP Plant using Mid- and Long Term Storages.

Abstract: The operation of a CSP-plant is mainly driven by the available direct normal irradiation (DNI) over the day. Although the DNI is a volatile factor, it is very good predicable within a certain time horizon considering daytime, location and environmental boundary conditions. Aim of every plant control system is the stable and save operation of the CSP plant. One way to achieve a good control loop performance is to split the control problem into a feed forward and a feedback control system. Within this paper a feed forward control system for a direct steam generation CSP system with a mid and long term storage is developed. The feed forward control system is using an optimization based on a genetic algorithm. The behavior of the feed control system is shown with different examples, using different operation modes with focus on a flexible operation and on the maximization of the energy output. [Copyright &y& Elsevier]