计及线损的交流输电网线路扩展鲁棒规划方法OA

With the proposal of the"dual carbon"goals and the development of new power systems,the proportion of renewable energy sources such as wind and solar power continues to increase,and the load volume grows with enhanced volatility,posing higher demands on the expansion of transmission lines due to uncertainties on both the supply and demand sides.Meanwhile,the increase in transmission volume makes line losses a critical factor affecting the economic efficiency of transmission line planning schemes.To address this,a robust planning method for AC transmission line extension considering both line losses and supply-demand uncertainties was proposed.Firstly,an AC power flow model considering line losses was established to improve modeling accuracy and ensure the economic efficiency of the planning scheme.Secondly,typical scenario sets were used to replace traditional extreme scenario sets to reduce decision conservatism,and an N-1 contingency constraint set based on typical scenarios was constructed to ensure system safety.The proposed model was a mixed-integer second-order cone programming problem with large-scale integer variables,which has high computational complexity.To improve solving efficiency,the constraint-and-column generation(C&CG)algorithm was employed to decompose the model into a master problem and multiple typical scenario subproblems,achieving efficient computation through iterative solving.Finally,simulation calculations based on the modified IEEE-24 node system and the IEEE-118 node system verify the effectiveness of the proposed model and method.