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提出城区配电系统自适应鲁棒应急检修计划编排方法，旨在提高检修计划的灵活性和适应性，应对各种不确定性和突发事件。首先，基于“防御-攻击-防御”思想建立配电网元件检修模型。灾前防御决策人员根据有限的检修预算，考虑攻击场景，选择配电系统中的线路与电源进行检修；灾中攻击者考虑防御者能采用的优化运行策略，根据有限的攻击预算选择线路与电源进行攻击；灾后运行人员利用优化运行策略，应对攻击者所采取的攻击方案，最小化攻击造成的影响。所构建的三层两阶段自适应鲁棒优化模型基于列约束生成算法进行求解，在同时考虑配电网的灾前强化策略和灾后运行策略的前提下解决了配电网元件强化的问题。最后基于IEEE RTS-96高压配电网测试系统验证了所提模型和算法的有效性，为城区配电系统的安全稳定运行提供了支持。

配电网作为供电的最后环节，其供电恢复速度和恢复负荷的比例影响着整个电力系统的恢复力水平，因此提升系统遭受极端自然灾害下的配电网供电恢复能力显得尤为重要。智能软开关（soft open point，SOP）是一种全控型电力电子器件，具有连续调节功率和提供无功电压支撑等优点，将会在配电系统正常运行和供电恢复中得到广泛应用。以配电网恢复力评估与提升为目标，首先，考虑故障后通过可控分布式电源和SOP恢复负荷供电，建立有源配电网负荷恢复模型；其次，提出将负荷恢复模型嵌入到时序蒙特卡洛模拟过程中的恢复力评估流程；最后，在修改的IEEE-33节点系统测试了算法的正确性和有效性，得到了SOP和其他恢复措施相比的不同之处，并分析了其与可控分布式电源联合作用下对配电网恢复力的提升作用。

能源系统的低碳化转型与发展是国际社会应对气候、环境、能源问题的共同解决方案，特别是在全球范围能源行业放松管制的现实背景下，能源系统协同运行和综合优化的效益得到了广泛关注。多能源系统协同运行和多能源市场耦合交易能够挖掘利用不同能源间的互补性和替代性，实现灵活的能源生产、消费、储存、传输，在更大的范围内优化配置资源、消纳可再生能源，推动能源系统的低碳化转型与发展。立足能源市场发展实际，在分析开展多能源市场耦合交易必要性的基础上，总结了近年来多能源市场间交互影响、多能源市场协调运行及联合出清、多能源市场中的交易行为及均衡分析等方面的最新研究进展，提出了进一步研究中面临的关键问题。

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-attackerdefender,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。

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