弹性配电网分布式可再生能源电源最优配置模型

Optimal Renewable Energy Distributed Generators Placement for Resilient Distribution System

为提升配电网弹性以及促进能源转型下高渗透率可再生能源的接入,提出了分布式可再生能源电源的优化配置模型。在规划阶段配置可再生能源机组,当故障发生后,可再生能源机组与可控机组形成主从控制模式的微网为非故障区域负荷供电。针对故障不确定性,采用鲁棒优化方法减小电网在最严重故障下的负荷切除损失;针对可再生能源出力不确定性,通过构建典型出力场景提升综合优化效果。将鲁棒优化问题建立为防御-攻击-防御(defender-attacker-defender,DAD)三层优化框架,在第一层决策者制定分布式可再生能源电源的配置方案,第二层攻击者制定最严重的攻击策略,第三层进行灾后的潮流优化、配网重构等恢复措施。采用嵌套列约束生成算法(nested column-and-constraint generation,NCCG)对模型进行求解,并通过配网37节点系统验证了模型的有效性。

To improve the resilience of a distribution system and incorporate high-permeability renewable energy under energy transition,we propose the optimal placement model of distributed generator for renewable energy.In this model,the generators are placed at the planning stage.When a fault has occurred,the renewable energy generators and the controllable generators form microgrids under a master–slave operation to support loads in the non-fault areas.A robust optimization method is applied to reduce the load curtailment loss of power system under the worst-case fault,which helped cope with the fault uncertainty.In view of the uncertainty of renewable energy output,typical output scenarios are constructed to improve the comprehensive optimization effect.The optimization is formulated as a tri-level defender–attacker–defender(DAD)framework.On the first level,decision-makers work out the placement scheme.On the second level,the attacker finds the attack strategy with maximum damage.On the third level,restoration measures including plow-flow optimization and topology reconfiguration are undertaken.The nested column-and-constraint generation(NCCG)is applied to solve the problem,and the model effect is validated through IEEE 37-node system.