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首页> 外文期刊>European transactions on electrical power engineering >An alternating direction method of multipliers-based approach to solve mixed-integer nonlinear volt/var optimization problems in distribution systems
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An alternating direction method of multipliers-based approach to solve mixed-integer nonlinear volt/var optimization problems in distribution systems

机译：基于乘法机的方法求解混合整数非线性伏特/ var优化问题的交替方向方法

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摘要

This paper presents a tailored version of the alternating direction method of multipliers to achieve a centralized voltage and VAR optimization (VVO) in the electric distribution system. The adopted VVO model is a mixed-integer nonlinear optimization problem derived from the generic optimal power flow problem. A novel generalized and decomposable version of the VVO model is developed first to establish the proposed approach. The approach accounts for load tap-changers and switchable capacitor banks for illustration. However, it can be expanded to a broad range of controllable VVO equipment with discrete/integer settings. The approach performance is validated on different distribution networks. Results are compared with current leading heuristic approaches used to solve nonconvex mixed-integer nonlinear problems such as the Branch-and-Bound method. Furthermore, a comparison vs the branch flow model-based mixed integer second-order conic programming model is conducted to illustrate the proposed model's advantages. Moreover, to benchmark the proposed approach optimality, a direct search scheme is developed to capture guaranteed globally optimal results. Experiments show the superiority of the proposed approach with noteworthy convergence rates and promising optimal solution allocation.
机译：本文介绍了乘法器的交替方向方法的定制版本，以实现配电系统中的集中电压和VVO）。所采用的VVO模型是一种混合整数非线性优化问题，来自通用最佳功率流问题。首先开发了一种新颖的VVO模型的广义和可分解版本，以建立所提出的方法。该方法占装载分接开关和可切换电容库的说明。但是，它可以扩展到具有离散/整数设置的广泛可控VVO设备。在不同的分发网络上验证了方法性能。将结果与目前的主要引发方法进行比较，用于解决非凸起混合整数非线性问题，例如分支和束缚方法。此外，进行了比较VS分支流模型的混合整数二阶圆锥编程模型以说明所提出的模型的优点。此外，为了基准建议的方法最优，开发了直接搜索方案以捕获保证全局最佳结果。实验表明，具有值得注意的收敛速率和有希望的最佳解决方案分配的提出方法的优势。

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