Optimization Of Grid Structure And Parameter With Grid-connected Wind Power Generation In Multiple Regions Based On Wind Speed Forecasting

With the increasing prices of traditional fossil fuels such as petroleum and coal, andthe declining price of wind turbines, the proportion of wind power is rising inproportion. The randomness and uncertainty of the wind turbine influence thetraditional power grid distribution system. In the traditional grid, the wind turbine as anegative load restricts the injection power of wind power. Combined with thetraditional grid-based frequency regulation automatic generation control (ACE), thispaper uses fuzzy control method to improve the traditional AGC system, providing amethod of reducing the frequency fluctuations and increasing injected power of windpower.This paper studies the AGC system, using the result of short-term wind powergenerating capacity forecast to change the Area Control Error (ACE) signal in theTBC mode to generate the characteristics of wind power. Fuzzy controller and PIcontroller is used in the traditional grid AGC correction PI parameters in real time,reducing the impact of wind power fluctuations on the existing grid frequency. Thusthe injection power of wind power is improved with the lowest cost of renovation.This paper uses overlap region decomposition in the large-scale grid-connected windpower electricity system to reduce the amount of computation. The model decouplingof ACG model is studied to support the wind power grid. The including principle isused to optimize decomposition parameters of the grid area to improve suboptimaldecentralized control grid. The simulation shows that the value and optimizingprocess have impact on the optimization results of decentralized control. The geneticalgorithm is used in the optimization of decomposition parameters.Now the fan forecast is not accurate and the theory is not perfect. This paper showsthat the proved AGC system can lower the system frequency deviation with the samecapacity, meaning that more wind power can be included in the existing power grid toreduce the demand for quick adjustment device such as pumped storage power plantand gas turbine. Thus the cost of wind power can be decreased, which can promotethe development of wind power. In summary, this paper’s research has feasibility andeconomic value.