Power loss and voltage regulation are two fundamental and challenging issues in DC distributed generation system. In this paper, a multi-objective optimization problem is established to achieve trade-offs between reducing power loss and decreasing voltage deterioration by adjusting the weighting coefficients. This problem is proven to be a convex optimization under constant impedance load and constant current load. A distributed algorithm based on random coordinate descent method is developed to solve this problem without acquiring the information of line impedance. Thus, the optimal operating point of the system can be found automatically in real-time, and the deviation of optimal solution caused by the fluctuation of network parameters is avoided. In addition, the complexity of this algorithm is low and its computational requirement is reduced in practice. Finally, case studies are implemented to verify the effectiveness of the proposed algorithm under the scenarios of line parameter fluctuation, load variation, communication line failure, and plug-play capabilities.

中文翻译：

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直流电力系统优化潮流和电压调节的分布式协同控制算法

功率损耗和电压调节是直流分布式发电系统中的两个基本且具有挑战性的问题。在本文中，建立了一个多目标优化问题，通过调整加权系数来实现降低功率损耗和降低电压恶化之间的权衡。该问题被证明是恒阻抗负载和恒流负载下的凸优化。针对这一问题，提出了一种基于随机坐标下降法的分布式算法，无需获取线路阻抗信息。从而可以实时自动找到系统的最佳工作点，避免网络参数波动导致的最优解偏差。此外，该算法复杂度低，在实践中减少了计算量。最后，通过案例研究验证了该算法在线路参数波动、负载变化、通信线路故障和即插即用等场景下的有效性。