论文部分内容阅读
建立统一考虑负荷恢复的收益、控制代价及恢复过程中系统风险的恢复控制优化模型。提出2层优化框架,按“分区独立优化、协调动态分区”方式自适应优化,克服离线预案依据的场景及措施优先顺序不变的缺点。同时将研究从自下而上(bottom-up)策略拓展到自上而下(top-down)策略和混合策略,包括各类策略内部的优化和不同策略之间的协调。基于自适应优化和风险决策的观点,设计模块算法。按大停电防御体系的信息、分析、控制3个要素,设计在线决策支持系统的框架模型,阐明各功能模块间的逻辑关系,并用仿真验证了其有效性和自适应性。
The establishment of a unified recovery control optimization model considering the benefits of load recovery, control costs and system risk in the recovery process. This paper proposes a two-layer optimization framework, which is adaptively optimized according to “Partition Optimization and Coordination with Dynamic Partitioning ” so as to overcome the shortcomings of off-line scenarios and prioritized measures. At the same time, research is expanded from bottom-up to top-down and hybrid strategies, including internal optimization and coordination among different strategies. Based on the idea of adaptive optimization and risk decision-making, design the module algorithm. According to the information of blackout prevention system, analysis and control of the three elements, a framework model of online decision support system is designed, the logical relationship between each functional module is clarified, and its validity and adaptability are verified by simulation.