论文标题
分层最佳功率流，并提高梯度评估
Hierarchical Optimal Power Flow with Improved Gradient Evaluation
论文作者
论文摘要
解决交流电流最佳功率流（AC-OPF）的现有算法通常利用线性近似来简化系统模型并加速计算。在本文中，我们改进了最近的层次OPF算法，该算法依靠在线性分布功率流模型中评估的原始双重梯度上。具体而言，我们确定了由模型线性化引起的违反电压的风险，并提出了一种更准确的梯度评估方法来消除这种风险。我们进一步开发了一种基于拟议的梯度评估方法来求解OPF的层次原始二次算法。 IEEE网络上的数值结果表明，我们的算法可以以令人满意的计算效率增强电压安全性。
Existing algorithms to solve alternating-current optimal power flow (AC-OPF) often exploit linear approximations to simplify system models and accelerate computations. In this paper, we improve a recent hierarchical OPF algorithm, which rested on primal-dual gradients evaluated in a linearized distribution power flow model. Specifically, we identify a risk of voltage violation arising from the model linearization, and propose a more accurate gradient evaluation method to eliminate that risk. We further develop a hierarchical primal-dual algorithm to solve OPF based on the proposed gradient evaluation method. Numerical results on IEEE networks show that our algorithm can enhance voltage safety with satisfactory computational efficiency.
