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Allocation-Based Optimal Reactive Power Dispatch Considering Polynomial Load Model Using Improved Grey Wolf Optimizer
Iranian Journal of Science and Technology, Transactions of Electrical Engineering ( IF 2.4 ) Pub Date : 2021-04-01 , DOI: 10.1007/s40998-021-00419-8
Saman Hosseini-Hemati , Gholam Hossein Sheisi , Shahram Karimi

Optimal reactive power dispatch (ORPD) problem basically focuses optimally on management of reactive power sources such as distribution generation (DG) units and reactive power compensation (RPC) devices. Its main purpose, especially in distribution grids, is real power loss and reactive power cost minimization subject to satisfying a set of constraints. On the other hand, optimal site of these devices in distribution system and polynomial load model can significantly affect the ORPD problem. In this paper, a new revision of ORPD in distribution grids combined with optimal DG and RPC allocation considering load model-based power flow and a new objective function is introduced. Moreover, improved grey wolf optimizer (IGWO) as a new and powerful optimization technique is proposed to solve this complex problem. The suggested method is implemented on standard IEEE 33-bus distribution system considering various scenarios and load profiles. The obtained results demonstrate the effectiveness of the introduced problem and ability of the proposed algorithm for finding better solutions compared to other presented methods.



中文翻译:

考虑多项式负荷模型的基于分配的最优无功调度的改进灰狼优化器

最佳无功功率分配(ORPD)问题主要集中在无功功率的管理上,例如配电系统(DG)单元和无功功率补偿(RPC)设备。其主要目的(尤其是在配电网中)是要满足一组约束,从而将有功功率损耗和无功功率成本最小化。另一方面,这些设备在配电系统和多项式负载模型中的最佳位置会严重影响ORPD问题。本文介绍了一种新的ORPD配电网版本,它结合了基于负荷模型的潮流和最佳目标函数,并结合了最佳DG和RPC分配。此外,提出了改进的灰太狼优化器(IGWO)作为一种强大的新的优化技术来解决这一复杂问题。考虑到各种情况和负载情况,建议的方法在标准IEEE 33总线分配系统上实现。获得的结果证明了引入的问题的有效性以及所提出的算法与其他提出的方法相比能够找到更好的解决方案的能力。

更新日期:2021-04-02
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