配电网最优潮流的二次凸逼近及其在网损分摊中的应用
A Quadratic Convex Approximation of Optimal Power Flow in Distribution System with Application in Loss Allocation
摘要：
本文提出了一种新的二次凸最优潮流模型，即MDOPF，用于确定分布式电源的最优调度。基于MDOPF的结果，分析了配电网的两种定价机制：配电网位置边际电价（DLMP）和配电网位置电价（DLP）。对于DLMP，开发了一种显式方法来计算边际损耗，该方法不需要后向/前向扫描算法，从而降低了计算复杂度。然而，DLMP中的边际损失分量会导致损失的过度收集（OCL）。为了解决这个问题，DLP的定义，它包含两个组成部分，能源成本组成部分和损失的组成部分，其中损失的组成部分是由建议的损失分配方法（LAM）确定。数值试验表明，与现有的基于线性潮流方程的最优潮流模型相比，该模型具有更高的精度。此外，所提出的边际损失法和DLMP算法与ACOPF提供的基准相比具有令人满意的精度，并且所提出的DLP可以消除OCL。
英文摘要：
In this paper, a novel quadratic convex optimal power flow model, namely, MDOPF, is proposed to determine the optimal dispatches of distributed generators. Based on the results of MDOPF, two price mechanisms, distribution locational marginal price (DLMP) and distribution locational price (DLP), are analyzed. For DLMP, an explicit method is developed to calculate the marginal loss that does not require a backward/forward sweep algorithm and thus reduces the computational complexity. However, the marginal loss component in DLMP will cause over-collection of losses (OCL). To address this issue, DLP is defined, which contains two components, the energy cost component and loss component, where the loss component is determined by the proposed loss allocation method (LAM). Numerical tests show that the proposed MDOPF has a better accuracy than existing OPF models based on linear power flow equations. In addition, the proposed marginal loss method and DLMP algorithm have satisfactory accuracy compared with benchmarks provided by ACOPF, and the proposed DLP can eliminate OCL.
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