Wind farm distributed PSO-based control for constrained power generation maximization. (April 2019)

• Record Type: Journal Article
• Authors: Gionfra, Nicolò; Sandou, Guillaume; Siguerdidjane, Houria; Faille, Damien; Loevenbruck, Philippe
• Is Part Of: Renewable energy. Volume 133(2019)
• Page Start: 103
• Page End: 117
• Publication Date: 2019-04
• Subjects: Wind farm -- Wake effect -- Distributed optimization -- Particle swarm optimization; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2018.09.084
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: A novel distributed approach to treat the wind farm (WF) power maximization problem accounting for the wake interaction among the wind turbines (WTs) is presented. Power constraints are also considered within the optimization problem. These are either the WTs nominal power or a maximum allowed power injection, typically imposed by the grid operator. The approach is model-based. Coupled with a distributed architecture it allows fast convergence to a solution, which makes it exploitable for real-time operations. The WF optimization problem is solved in a cooperative way among the WTs by introducing a new distributed particle swarm optimization algorithm, based on cooperative co-evolution techniques. The algorithm is first analyzed for the unconstrained case, where we show how the WF problem can be distributed by exploiting the knowledge of the aerodynamic couplings among the WTs. The algorithm is extended to the constrained case employing Deb's rule. Simulations are carried out on different WFs and wind conditions, showing good power gains and fast convergence of the algorithm. Highlights: Metaheuristic optimization efficiently solves the wind farm power maximization problem. Real-time performance is achieved via model-based distributed optimization. Cooperative co-evolution allows the problem distribution among the wind turbines. Power constraints are simply handled in the optimization problem via Deb's rule.