Investigation Of Megawatt Turbines Arrangment In A Wind Farm Based On CFD And PSO Method

Wind energy is renewable energy. It has the advantage of widelyspreading, large reserves, environmental protective and so on. In the era of lacking energy all over the world, the usage of wind energy is becoming increasingly popular. The number keeps going up, at the same time the efficiency being the new standard of power generation. Wake disturbances effect of turbines is the main reason of the ability of wind field power generation decreasing. The adjustment of the relative placement of turbines can effectively eliminate the influence of wake effects to the downstream turbines. Therefore, the arrangement optimization of turbines, improving power generation efficiency, these researches are impressing.This paper presents an arrangement plan. This plan combines CFD numerical simulation and PSO(Particle Swarm Optimization). In condition of fixed-sized smooth wind field and uniform wind, it takes the minimum of the ration of wind field cost to total wind field output power asobjective functions, effectively improving the wind field power-generating benefit. The contents are as follows:(1) Build a three-dimensional solid model and MRF model of 2MW single fan to realize the rotation of wheel. Use SST k-ω turbulence model that based on RANS method, then we can get turbines’ rated power very closed to output power, which confirms the feasibility of numerical simulation research method in this text.(2) By studying wake disturbances effects of Arrangement in tandem、High-low place arrangement、Echeloned arrangement double turbines, we can get the variation of wind field output power having different arrangement with the variation of displacement or height. Then we’ll know the ration of upstream turbines power to downstream turbines power output, having a multivariate polynomial relationship with location and height, improving one-dimensional wake disturbances effect theory of influence from upstream turbines to downstream turbines.(3) Function aiming at maximum wind field power-generation benefit is used to compile Particle Swarm optimization for turbines swarm arrangement. Compare the Classic examples based on Genetic Algorithms, confirming the feasibility of Particle Swarm optimization. Polynomial of turbines power ratio, varying with multivariation, is converted, using power curve, into modified Particle Swarm optimization which is based on three-dimensional wake disturbances wind velocity. Use the modified PSO to obtain the best arrangement of turbines swarm in wind field.