Fast-acting reactive power support from distributed generations (DGs) is a promising approach for tackling rapid voltage fluctuations in distribution networks. However, the voltage regulation range via reactive power of DGs alone is narrow especially in distribution networks with high resistance-reactance ratio. In this paper, a randomized algorithm is proposed to improve the voltage profile in distribution networks via coordinated regulation of the active and reactive power of DGs. To this end, first the variables of the proposed quadratically constrained quadratic programming problem on voltage control are partitioned into disjoint subsets, each of which corresponds to a unique low-dimensional subproblem. Second, these subsets are updated serially in a randomized manner via solving their corresponding subproblems, which overcomes the requirement for system-wide coordination among participating agents and guarantees an optimal solution. Compared with the existing algorithms, the proposed algorithm is resilient to network reconfigurations and achieves a wider voltage regulation range. The effectiveness and convergence performance of the proposed algorithm is validated by the case studies.

中文翻译：

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通过DG的有功功率和无功功率的协调调节来控制配电网的电压

分布式发电（DG）的快速作用无功功率支持是解决配电网络中快速电压波动的一种有前途的方法。但是，仅通过DG的无功功率调节电压的范围就很窄，尤其是在具有高电抗比的配电网中。本文提出了一种通过协调调节DG有功功率和无功功率来改善配电网电压分布的随机算法。为此，首先将所提出的关于电压控制的二次约束二次规划问题的变量分成不相交的子集，每个子​​集对应于一个唯一的低维子问题。其次，通过解决子集的相应子问题，以随机方式对这些子集进行串行更新，克服了参与代理之间的系统范围内协调的要求，并确保了最佳解决方案。与现有算法相比，该算法对网络重构具有弹性，并实现了较宽的电压调节范围。案例研究验证了该算法的有效性和收敛性能。