A Transmission System Planning Method Considering Fuzzy Model of Load and Interval Model of Renewable Power

High penetration of volatile renewable energy produces uncertainties in power system and poses severe challenges to transmission network planning (TNP). Usually, only one type of mathematical model of different uncertainties was considered in every single TNP method. However, in the process of TNP, different uncertainties may show different mathematical features and need to be represented by various types of mathematical models. Aiming at this problem, a TNP model taking into account interval uncertainty model of renewable energy generation and fuzzy uncertainty model of predicted load is proposed based on the expanded fuzzy chance constrained programming. In accordance with the features of the constructed planning model, the model is transferred to a robust TNP model considering interval uncertainty model of renewable energy generation and predicted load. Thus, the calculation burden for solving the planning model decreases. The analyses on the modified IEEE RTS 24-bus system and a 231-bus system verify the effectiveness and adaptability.