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arXiv 2107.04515eess.SYcs.SY
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无模型局部电压无功优化的寻优自适应下降算法

Extremum-Seeking Adaptive-Droop for Model-free and Localized Volt-VAR Optimization

Hongda Ren, Rahul Ranjan Jha, Anamika Dubey, Noel N. Schulz

摘要:

在有源配电系统中,采用电压无功优化(VVO)方法来实现网络级目标,如最小化网络功率损耗。常用的基于模型的集中式和分布式VVO算法在没有通信系统以及模型和测量不确定性的情况下表现不佳。在本文中,我们提出了一种无模型的局部电压无功控制方法,网络级优化,不需要与其他决策代理的通信。该算法是基于极值搜索方法,只使用本地测量,以最大限度地减少网络的功率损耗。为了证明所提出的极值寻求控制器收敛到最优解,我们还推导出数学条件的损失最小化问题是凸的控制变量。本地控制器在高度可变的场景中引起稳定性问题。因此,所提出的极值搜索控制器与自适应下垂控制模块集成,以提供稳定的局部控制响应。所提出的方法是使用IEEE 4总线和IEEE 123总线系统进行验证,并实现了损耗最小化的目标,同时保持电压在预先规定的限制,即使在高度可变的DER生成场景。

英文摘要:

In an active power distribution system, Volt-VAR optimization (VVO) methods are employed to achieve network-level objectives such as minimization of network power losses. The commonly used model-based centralized and distributed VVO algorithms perform poorly in the absence of a communication system and with model and measurement uncertainties. In this paper, we proposed a model-free local Volt-VAR control approach for network-level optimization that does not require communication with other decision-making agents. The proposed algorithm is based on extremum-seeking approach that uses only local measurements to minimize the network power losses. To prove that the proposed extremum-seeking controller converges to the optimum solution, we also derive mathematical conditions for which the loss minimization problem is convex with respect to the control variables. Local controllers pose stability concerns during highly variable scenarios. Thus, the proposed extremum-seeking controller is integrated with an adaptive-droop control module to provide a stable local control response. The proposed approach is validated using IEEE 4-bus and IEEE 123-bus systems and achieves the loss minimization objective while maintaining the voltage within the pre-specific limits even during highly variable DER generation scenarios.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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