A semi-definite programming approach for solving optimal reactive power reserve dispatch

Yuquan Liu, W. Xia, S. Zheng, Ke Wang, Pengfei Wu, Sidun Fang
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Abstract

It is well known that proper reactive power reserve (RPR) is essential to avoid voltage instability and abnormal voltage. Most literatures limits the maximum supply of generator reactive power output by the maximum loading point. Thus the optimization of RPR usually involves two operating points, i.e. current operating point and maximum loading point. However, extreme differences exist between the statuses of generators at those two operating points and cannot be given in advance. That means current techniques cannot solve optimal RPR model directly. In this paper, a semi-definite programming (SDP) approach for solving optimal RPR model is proposed. Proposed method transforms the solution into iterations and each iteration is an optimal power flow problem solved by SDP. For demonstrating the validity of proposed method, IEEE 118 system in three load scenarios is set as the test case. The results prove the effectiveness and robustness of the proposed method.
求解最优无功备用调度的半确定规划方法
适当的无功储备是避免电压不稳定和电压异常的关键。大多数文献以最大负载点限制发电机无功输出的最大供给。因此,RPR的优化通常涉及两个工作点,即当前工作点和最大负荷点。然而,在这两个工作点发电机的状态之间存在着极大的差异,无法事先给出。这意味着目前的技术不能直接求解最优RPR模型。本文提出了求解最优RPR模型的半确定规划方法。该方法将求解方法转化为迭代方法,每次迭代都是用SDP求解的最优潮流问题。为了验证所提方法的有效性,以IEEE 118系统在三种负载场景下作为测试用例。实验结果证明了该方法的有效性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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