LAUSR

With the development of active distribution networks (ADNs), more uncertainties need to be considered in distribution network planning (DNP), which increases the difficulties in scenario selection. Given this background, a multi-stage bi-level DNP model is proposed considering coordinated operation of distributed generation (DG), energy storage system (ESS) and controllable load (CL). In this model, a novel selection strategy for restricted operation scenarios based on the shadow price is proposed to reduce the complexity of scenario selection and ease the computational burden substantially in virtue of the decoupling of ADN operation and planning. A set consisting of restricted operation scenarios is simulated as an information feedback from operators to planners. The active distribution network planning (ADNP) model is aimed to minimize the total cost of feeder investments, ESS investments, and the additional operation costs caused by severely constrained network resources. The decision variables include the location and type selections of feeders, and the siting, power and capacity of ESSs at each stage of a given planning horizon. An extended IEEE 33-node distribution system and an actual 62-node distribution system in Zhejiang, China are serviced to verify the proposed model. The results show that the proposed ADNP model can effectively select out the restricted operation scenarios and achieve an optimal ADNP scheme by balancing non-network solutions and network solutions.