Application Analysis On Short-term Load Prediction Of Power System Based On Artificial Neurual Network

The load forecast refers to some of the most important consideration in operating system characteristics, decision-making, natural conditions and the increment of social impact conditions, or use a system to deal with the past and the future of the load, while satisfying the mathematical method, the requirement of accuracy under the meaning of a particular moment of future load value. Precise load forecasting, especially for short-term load forecasting of power system, economic dispatch and arrange production safety operation plays a very important role.Based on artificial neural network (ANN) forecast method of load forecasting, this method has a neural network nonlinear approximate absorption ability, strong ability of pattern recognition, good adaptability, self-organizing and fault tolerance and stronger learning, memory, lenovo, recognizing ability, suitable for time series prediction problem solving. In practice, the forecast method of forecasting has high precision.The model establishment and the realization are program the realization in the MATLAB7.6.0 environment, displayed the MATLAB product to excel in the value computation, conveniently to process the massive data as well as the complex matrix and the array operation characteristic highly effective fully, applied in the product the outstanding neural network toolbox, the programming has been simple, easy to operate.Based on neural network is applied to power system short-term load forecasting model (points) a season of research, including the historical data processing, the number of samples of network effect, the neural network hidden nodes on the selection and meteorological conditions of sensitivity analysis, etc. Considering the influence of various factors, good prediction results are finally achieved.