- Browse by Subject
Browsing by Subject "wind power"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Combined Generation and Optimization of a Wind-Solar-Battery Power System(Office of the Vice Chancellor for Research, 2014-04-11) Shen, Dan; Izadian, AfshinCompared with other renewables, wind and solar have been established as proven future sources of energy, because of their environment-friendly, safe and cost-effective characteristics. However, there are some difficulties associated with combined utilization of solar and wind, e.g. intermittency of wind and of the solar radiation, and their variation do not match the time distribution of the demand. For this purpose, advanced network of multiple renewable energy systems with storage units have been proposed. Small-scale standalone combination of solar, wind and battery has been found effective in some independent power supply system. Proposed in this research on a standalone distributed hybrid power system which consists of solar power, wind power and battery storage. A control strategy is introduced to maximize the simultaneous energy harvesting from both renewable sources. The supervisory controller results in five contingencies considering the level of power generation available at each renewable energy source and the state of charge in the battery. Power converters interface the source with a common DC bus. The interfacing converter is controlled either as a current or a voltage source. A supervisory controller is proposed to accomplish the source type allocations and balance of energy in the operating contingencies. Simulation results demonstrate accurate operation of the controllers and functionality of the maximum power point tracking algorithm in each operating condition both for solar and for wind power.Item Optimal Power Control of a Wind Turbine Power Generation System(2012-09-27) Xue, Jie; Chen, Yaobin; Li, Lingxi; Rovnyak, StevenThis thesis focuses on optimization of wind power tracking control systems in order to capture maximum wind power for the generation system. In this work, a mathematical simulation model is developed for a variable speed wind turbine power generation system. The system consists a wind turbine with necessary transmission system, and a permanent magnet synchronous generator and its vector control system. A new fuzzy based hill climbing method for power tracking control is proposed and implemented to optimize the wind power for the system under various conditions. Two existing power tracking control methods, the tip speed ratio (TSR) control method and the speed sensorless control method are also implemented with the wind power system. The computer simulations with a 5 KW wind power generation system are performed. The results from the proposed control method are compared with those obtained using the two existing methods. It is illustrated that the proposed method generally outperforms the two existing methods, especially when the operating point is far away from the maximum point. The proposed control method also has similar stable characteristic when the operating point is close to the peak point in comparison with the existing methods. The proposed fuzzy control method is computationally efficient and can be easily implemented in real-time.