A New Spatial Load Forecasting Method Considering Photovoltaic Output and Electric Vehicle Access

With the development of distributed photovoltaic (PV) and the impact of electric vehicles (EVs) access on the distribution network, the traditional spatial load forecasting can no longer meet the requirements. Therefore, a spatial load forecasting method considering PV output and EVs access is proposed. Firstly, the traditional spatial load was predicted based on LS-SVM and load density index method, and then the photovoltaic output power is predicted according to the photovoltaic influence factors in the planning area. Monte Carlo algorithm is adopted to simulate the charging load of electric vehicles, and finally the photovoltaic output power, electric vehicles charging power and traditional space load are superimposed to obtain the total space load. Taking a certain urban area of Shaoxing as an example, the prediction results show that the accuracy of spatial load predicting can be significantly improved by considering PV output and EVs access.