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A new reactive power planning procedure for Iranian Power Grid

机译：伊朗电网的新无功计划程序

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摘要

Reactive power planning has received considerably attention during the last few years. Allocation of reactive power resources of both static (ex. switchable capacitors and/or reactors) and dynamic (ex. static VAr compensators, or SVCs) types can have major impacts on voltage security (i.e. voltage profile and stability) and active power losses. They, however, impose costs so that the planning procedure is, indeed, an optimization problem in which the resources should be so allocated and sized that optimum performance, in terms of voltage profile and stability and minimum active power losses are achieved while, at the same time, minimum reactive power resource costs are imposed. This problem is addressed in this paper for the multi-zone Iranian Power Grid. Genetic Algorithm (GA) is employed to solve the resulting multi-objective optimization problem. The system under study is a large-scale test case so that new approaches are proposed to tackle the problem. Implementation of the results are underway.
机译：在过去的几年中，无功功率规划受到了极大的关注。静态（例如，可切换电容器和/或电抗器）和动态（例如，静态VAr补偿器或SVC）类型的无功功率资源分配都可能对电压安全性（即电压曲线和稳定性）和有功功率损耗产生重大影响。但是，它们带来了成本，因此，规划过程实际上是一个优化问题，其中应该对资源进行分配和调整大小，以便在电压曲线和稳定性以及最小有功功率损耗方面实现最佳性能，而同时同时，施加了最低的无功功率资源成本。本文针对多区域伊朗电网解决了该问题。遗传算法（GA）用于解决由此产生的多目标优化问题。所研究的系统是一个大型测试案例，因此提出了解决该问题的新方法。结果正在执行中。

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