基于辅助问题原理的改进分布式无功优化方法

A new distributed optimal reactive power flow method based on auxiliary principle problem

对于电力系统多区域分布式无功优化问题,辅助问题原理(APP)是一种有效的解决方法。从分布式无功优化模型和APP方法的本质出发,分析现有分布式无功优化文献中子区域的局部平衡节点和收敛精度对全局收敛的影响,提出子区域中舍弃局部平衡节点和动态调整子优化问题收敛精度的策略,以提高APP方法在分布式无功优化中的应用效率和算法的整体收敛速度。通过多个IEEE算例仿真,验证了所提策略的正确性和有效性。

Auxiliary principle problem （APP） is an effective and promising method to solve distributed optimal reactive power flow （ORPF）. Based on the nature of distributed ORPF model and APP method, the paper presented the effects of local reference buses in sub-areas and convergence tolerance of sub-problems on the overall convergence, and two new strategies were proposed which include implementing distributed ORPF with only one reference bus, the global reference bus, instead of each sub-area with a reference bus and dynamically adjusting the tolerance of subproblems. The efficiency and speed of the distributed ORPF with APP algorithm were enhanced. The correctness and effectiveness of proposed strategies were illustrated by several IEEE test systems.