CHENG Long, LI Guoqing, ZHENG Jiarui, et al. Unified Joint Planning for Generations and Networks of Hybrid AC/DC Distribution Based on Uncertain Correlated Scene Clustering and Linear Constraints[J]. 2025, 45(19): 7552-7564.
CHENG Long, LI Guoqing, ZHENG Jiarui, et al. Unified Joint Planning for Generations and Networks of Hybrid AC/DC Distribution Based on Uncertain Correlated Scene Clustering and Linear Constraints[J]. 2025, 45(19): 7552-7564. DOI: 10.13334/j.0258-8013.pcsee.240784.
The hybrid AC/DC topologies have become inevitable for future distribution networks to efficiently deal with multiple types of distributed generations (DGs) and loads integrated into the grid. How to realize the planning and solution of hybrid AC/DC distribution networks has become an urgent problem. Therefore
an uncertain correlated scene clustering and linear constraints-based unified joint planning model for generations and networks of hybrid AC/DC distribution networks is proposed. The set of uncertainty- related scenarios for multiple types of DGs and loads is established by considering the correlation between different types of DGs and loads
and an improved K-means is used to achieve scene clustering. A unified characterization method including the grid structures and DG allocations is proposed for hybrid AC/DC distribution networks. On this basis
a unified Kirchhoff's power flow constraint model for the distribution network is constructed which is linearly transformed by the Big-M method. Finally
the Gurobi solver is used to solve the unified joint planning for DGs and networks of hybrid AC/DC distribution networks with the goal of optimal economy. The effectiveness and superiority of the proposed planning model has been verified on a 13-bus distribution network and an area-interconnected distribution network.