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首页> 外文期刊>Iranian Journal of Science and Technology, Transactions of Electrical Engineering >Allocation-Based Optimal Reactive Power Dispatch Considering Polynomial Load Model Using Improved Grey Wolf Optimizer
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Allocation-Based Optimal Reactive Power Dispatch Considering Polynomial Load Model Using Improved Grey Wolf Optimizer

机译：基于分配的最佳无功功率调度考虑使用改进的灰狼优化器的多项式载荷模型

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摘要

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.
机译：最佳无功功率调度（ORPD）问题基本上专注于无功电源的管理，例如分配生成（DG）单元和无功功率补偿（RPC）器件。其主要目的，特别是在配电网格中，是真正的功率损耗和无功率成本最小化，以满足一组约束。另一方面，在分配系统和多项式载荷模型中这些设备的最佳部位可以显着影响ORPD问题。在本文中，引入了与最佳DG和考虑基于负载模型的电流和新的目标函数的最佳DG和RPC分配结合的分布网格中的新修订。此外，提出了一种改进的灰狼优化器（IGWO）作为一种新的和强大的优化技术，以解决这一复杂问题。在考虑各种场景和负载配置文件的标准IEEE 33-母线分配系统上实现了建议的方法。所获得的结果证明了与其他呈现的方法相比，所引入的算法和所提出的算法能够找到更好的解决方案的有效性。

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