Multi-objective pbkp_redictive control optimization with varying term objectives: A wind farm case study


Abstract:

This paper introduces the incentive of an optimization strategy taking into account short-term and long-term cost objectives. The rationale underlying the methodology presented in this work is that the choice of the cost objectives and their time based interval affect the overall efficiency/cost balance of wide area control systems in general. The problem of cost effective optimization of system output is taken into account in a multi-objective pbkp_redictive control formulation and applied on a windmill park case study. A strategy is proposed to enable selection of optimality criteria as a function of context conditions of system operating conditions. Long-term economic objectives are included and realistic simulations of a windmill park are performed. The results indicate the global optimal criterium is no longer feasible when long-term economic objectives are introduced. Instead, local sub-optimal solutions are likely to enable long-term energy efficiency in terms of balanced production of energy and costs for distribution and maintenance of a windmill park.

Año de publicación:

2019

Keywords:

  • Distributed model pbkp_redictive control
  • Sequential optimisation
  • multi-objective optimization
  • Wind speed estimator
  • Windmill park

Fuente:

googlegoogle
scopusscopus

Tipo de documento:

Article

Estado:

Acceso abierto

Áreas de conocimiento:

  • Energía renovable
  • Optimización matemática

Áreas temáticas:

  • Métodos informáticos especiales