Title :
Reactive Power Management in Offshore Wind Farms by Adaptive PSO
Author :
Pappala, V.S. ; Wilch, M. ; Singh, S.N. ; Erlich, I.
Author_Institution :
Inst. of Electr. Power Syst., Univ. Duisburg-Essen, Duisburg
Abstract :
According to the new grid codes, wind parks must operate similar to other conventional power plants. Offshore wind parks are connected to the main grid with long cables and reactive power management is a big concern to the operators in the changing wind power conditions. This paper addresses the optimal reactive power dispatch (ORPD), which is a mixed-integer nonlinear optimization problem. The integer variables in ORPD are tap positions of the transformers, switching of cables and switched reactors, if present. A new adaptive particle swarm optimization (APSO), which is free from tuning of population size and is based on different sized groups of particles called "Tribes", is used to solve the ORPD problem. The proposed APSO is embedded in the Newton-Raphson load flow program. The effectiveness of the proposed algorithm is demonstrated on a real offshore wind farm, which is currently in planning stage, in Germany.
Keywords :
Newton-Raphson method; offshore installations; particle swarm optimisation; reactive power; wind power plants; Germany; Newton-Raphson load flow program; adaptive particle swarm optimization; main grid; offshore wind farms; optimal reactive power dispatch; reactive power management; switched reactors; Cables; Energy management; Inductors; Load flow; Particle swarm optimization; Power generation; Reactive power; Transformers; Wind energy; Wind farms; Particle swarm optimization; Reactive Power Scheduling; Wind Energy; Wind power interconnection;
Conference_Titel :
Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on
Conference_Location :
Toki Messe, Niigata
Print_ISBN :
978-986-01-2607-5
Electronic_ISBN :
978-986-01-2607-5
DOI :
10.1109/ISAP.2007.4441595