Dynamic Control of Wind/Photovoltaic Hybrid Power SyBased on an Advanced Particle Swarm Optimizstems

? As a clean and renewable energy source,
wind/photovoltaic hybrid power generation, which will contribute to
adjusting energy structures and protecting environments, has
attracted lots of countries and organizations. But it is very hard to
model with strong nonlinearity, multiple objectives, and multiple
extreme values, and very difficult to be handled with traditional
methods. This paper makes a mathematical model, which is used to
control the operation of wind/photovoltaic hybrid power systems,
designs a new particle swarm optimization based on uniform designs
and inertia mutation, which is used to solve the made mathematical
model to control the operation of hybrid power systems dynamically.
The experimental results show that this particle swarm optimization
can trace varieties of load, wind velocity and solar irradiation to
optimize the power output of generation devices, which makes
hybrid power systems run steadily, safely and also economically.