考虑网架恢复过程的电力应急资源调度方法
发布时间：2018-10-10 15:23
【摘要】：大停电后快速恢复系统骨干网架,需制定科学的电力应急资源调度方案。提出一种将节点恢复顺序融入应急资源调度过程的双层决策模型,根据电网恢复原则,上层模型计及了节点恢复顺序和电力应急资源调度方案的影响,并以网架恢复效率最大为目标函数。下层模型按照节点的优先恢复顺序对电力应急资源进行调度,以应急调度成本最小为目标函数。通过应急资源分配变量耦合上下层,引入KKT条件实现双层到单层模型的转换。综合遗传算法和变邻域搜索各自优势,采用混合遗传 变邻域搜索算法求解模型。用新英格兰39节点系统的算例验证了所提模型的合理性。
[Abstract]:It is necessary to establish a scientific power emergency resource scheduling scheme for the rapid recovery of the system backbone after power outages. In this paper, a two-layer decision model is proposed to integrate the node restoration sequence into the emergency resource dispatch process. According to the principle of power grid restoration, the upper layer model takes into account the effect of node restoration sequence and power emergency resource scheduling scheme. The objective function is the maximum recovery efficiency of the grid. The lower layer model dispatches the power emergency resources according to the priority restoration order of the nodes and takes the minimum cost of emergency dispatch as the objective function. By coupling the top and bottom layers of emergency resource allocation variables, the KKT condition is introduced to realize the conversion from two layers to one layer model. Based on the advantages of genetic algorithm and variable neighborhood search, hybrid genetic algorithm is used to solve the model. The rationality of the proposed model is verified by an example of 39-bus system in New England.
【作者单位】： 四川大学电气信息学院;国网成都供电公司;
【基金】：国家自然科学基金资助项目(51437003) 国家电网公司科技项目(521999150031)~~
【分类号】：TM73
，
本文编号：2262282
[Abstract]:It is necessary to establish a scientific power emergency resource scheduling scheme for the rapid recovery of the system backbone after power outages. In this paper, a two-layer decision model is proposed to integrate the node restoration sequence into the emergency resource dispatch process. According to the principle of power grid restoration, the upper layer model takes into account the effect of node restoration sequence and power emergency resource scheduling scheme. The objective function is the maximum recovery efficiency of the grid. The lower layer model dispatches the power emergency resources according to the priority restoration order of the nodes and takes the minimum cost of emergency dispatch as the objective function. By coupling the top and bottom layers of emergency resource allocation variables, the KKT condition is introduced to realize the conversion from two layers to one layer model. Based on the advantages of genetic algorithm and variable neighborhood search, hybrid genetic algorithm is used to solve the model. The rationality of the proposed model is verified by an example of 39-bus system in New England.
【作者单位】： 四川大学电气信息学院;国网成都供电公司;
【基金】：国家自然科学基金资助项目(51437003) 国家电网公司科技项目(521999150031)~~
【分类号】：TM73
，
本文编号：2262282
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