考虑多能互补的主动配电网规划与高效Benders求解方法

提出了一种考虑风、光多能互补的主动配电网规划模型及求解策略。考虑了多种可再生能源自身的不确定性和相互间的互补特性，采用局部密度峰值的聚类法生成典型场景，以配电网的全寿命周期成本效益最优为目标函数，构建了基于二阶锥规划的主动配电网规划模型。由于多能互补环境下的配电网规划是一个包含大量场景的混合整数非线性规划问题，在Branch-and-Cut求解框架下，基于现代Benders分解算法给出了规划模型的高效求解策略。最后采用IEEE-24节点测试系统进行了算例分析，测试结果验证了规划模型的合理性以及求解策略的高效性。

Active Distribution Network Planning Model and Benders Solution Strategy Considering Multi-energy Complementation

An active distribution network planning model and a solution strategy is proposed in this paper considering the multi-energy complementation. With consideration of the uncertainties and complementary characteristics of various renewable energy sources, typical scenarios are generated using the density-based clustering method, and an active distribution network planning model is build based on second order cone programming with the optimal cost-benefit of the distribution network as objective function. Considering that the distribution network planning in multi-energy complementary environment is a mixed integer nonlinear programming problem with a large number of scenarios, an efficient solution strategy is provided for the planning model based on the modern Benders decomposition algorithm under the framework of Branch-and-cut solution. In the end, the IEEE-24 node test system is used for case study, and the result has verified the validity of the planning model and the efficiency of the solution strategy.