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Synthesised-objective collaborative model and its solution algorithm for transmission–distribution coordinated optimisation

机译:输配协调优化的综合目标协同模型及其求解算法

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摘要

As the coupling between transmission systems and distribution systems is significantly enhanced, transmission-distribution coordinated optimisation becomes more and more necessary. Considering that the objectives of the transmission system operator (TSO) and the distribution system operator (DSO) are usually significantly different in the type and dimension, a synthesised-objective collaborative model is proposed in this study, by normalising different objectives, introducing a weight factor to reflect the importance degree difference of multiple objectives and constructing a common objective. Then, a modified heterogeneous decomposition (M-HGD) algorithm is proposed to solve the model. In the M-HGD, two modifications on the update of iterative variables and the stop criteria are proposed, which effectively relieves the fluctuation of the iterative variables and restrains the tail effect of the convergence curve. The proposed model and algorithm can avoid privacy issues between the TSO and the DSO, achieve Pareto optimality solutions, and have powerful flexibility. Numerical experiments validate the effectiveness of the proposed model and demonstrate that the M-HGD has high accuracy and has better convergence and efficiency than traditional distributed optimisation methods.
机译:随着传输系统和配电系统之间的耦合得到显着增强,传输-配电协调优化变得越来越必要。考虑到传输系统运营商(TSO)和配电系统运营商(DSO)的目标通常在类型和维度上存在显着差异,因此通过标准化不同目标并引入权重,提出了一种综合目标协作模型反映多个目标的重要性程度差异并构建共同目标的因素。然后,提出了一种改进的异构分解(M-HGD)算法来求解该模型。在M-HGD中,对迭代变量的更新和停止准则提出了两种修改方法,可以有效缓解迭代变量的波动并抑制收敛曲线的拖尾效应。所提出的模型和算法可以避免TSO和DSO之间的隐私问题,实现帕累托最优解,并且具有强大的灵活性。数值实验验证了所提模型的有效性,证明了与传统的分布式优化方法相比,M-HGD具有较高的精度,收敛性和效率。

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