Regional Generalized Load Forecasting Considering Source-load Coupling Characteristics

With increasing renewable power generation integrated into distributed power networks, regional generalized load forecasting considering source-load coupling characteristics plays an important role in power system planning and scheduling. In view of the uncertainty and correlation of distributed renewable power generation, a practical approach of generating generalized load scenarios considering correlation is proposed in this paper. The generalized load model between wind power, solar power and load is established through different copula functions. The probability sampling of the model is performed and pieced together into time series scenarios, and finally probabilities of several typical load scenarios are obtained by scenario tree. Case studies are carried out to verify the effectiveness of the proposed method.