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:
Tipo de documento:
Article
Estado:
Acceso abierto
Áreas de conocimiento:
- Energía renovable
- Optimización matemática
Áreas temáticas:
- Métodos informáticos especiales