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首页> 外文会议>2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies >Multi-objective optimization of current limiting scheme considering constraint conditions
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Multi-objective optimization of current limiting scheme considering constraint conditions

机译：考虑约束条件的限流方案的多目标优化

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摘要

The multi-objective optimization of current limiting scheme for power system is a complex, nonconvex and nonlinear problem and it is more complex when considering constraint conditions. Aiming to minimize total investments and short-circuit capacity margin under constraint conditions, a multi-objective optimization model of current limiting scheme based on the fast and elitist non-dominated sorting in genetic algorithms is presented. In order to increase the iterative rate, penalty coefficient is changed from zero to the maximum during the iterative process. Moreover, the influence on impedance matrix caused by common current limiting measure is analyzed, and the sensitivity relation between current limiting measure and node self-impedance is proposed. The conditions when the algorithm is used in multi-objective optimization of current limiting scheme are discussed. Then, case studies performed on IEEE 39-node network indicate the effectiveness of the proposed model and method in simulation results.
机译：电力系统限流方案的多目标优化是一个复杂的，非凸的和非线性的问题，在考虑约束条件时更为复杂。为了最大限度地减少约束条件下的总投资和短路容量裕度，提出了一种基于遗传算法中快速，精英非支配排序的限流方案多目标优化模型。为了提高迭代率，在迭代过程中惩罚系数从零变为最大值。此外，分析了常见限流措施对阻抗矩阵的影响，提出了限流措施与节点自阻抗之间的灵敏度关系。讨论了该算法用于限流方案多目标优化的条件。然后，在IEEE 39节点网络上进行的案例研究表明了所提出的模型和方法在仿真结果中的有效性。

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