An Information Theoretic approach to identify Dominant Voltage Influencers for Unbalanced Distribution Systems
An Information Theoretic approach to identify Dominant Voltage Influencers for Unbalanced Distribution Systems
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识别不平衡配电系统主要电压影响因素的信息论方法
DOI：
10.1109/tpwrs.2022.3149144
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发表时间：
2022
影响因子：
6.6
通讯作者：
Natarajan, Bala
中科院分区：
文献类型：
--
作者：
Munikoti, Sai;Abujubbeh, Mohammad;Jhala, Kumar;Natarajan, Bala
多个可再生能源的智能配电网会经历由于发电量变化引起的随机电压波动，这可能导致电压违规。传统的电压控制算法不足以处理快速的电压变化。因此，正在开发新的动态控制方法，可以显着受益于显性电压影响器（DVI）节点的知识。用于感兴趣的特定节点的DVI节点是指对该节点处的电压波动具有相对高的影响的节点。传统的基于潮流的算法来识别DVI节点是计算复杂的，这限制了它们在实时应用中的使用。提出了一种新的信息论电压影响分数（维斯），用于量化三相不平衡配电系统中含DER/有功负荷节点的电压影响能力。然后采用维斯对节点进行排序并识别DVI集合。维斯是在计算效率高的方式，其效力，以确定DVI节点的IEEE 37节点测试系统进行了验证。实验表明，KL散度和Bhattacharyya距离是DVI节点的有效指标，识别准确率达到90%以上。计算负担也减少了5个数量级，从而为有效的电压控制提供了基础。
Smart distribution grid with multiple renewable energy sources can experience random voltage fluctuations due to variable generation, which may result in voltage violations. Traditional voltage control algorithms are inadequate to handle fast voltage variations. Therefore, new dynamic control methods are being developed that can significantly benefit from the knowledge of dominant voltage influencer (DVI) nodes. DVI nodes for a particular node of interest refer to nodes that have a relatively high impact on the voltage fluctuations at that node. Conventional power flow-based algorithms to identify DVI nodes are computationally complex, which limits their use in real-time applications. This paper proposes a novel information theoretic voltage influencing score (VIS) that quantifies the voltage influencing capacity of nodes with DERs/active loads in a three phase unbalanced distribution system. VIS is then employed to rank the nodes and identify the DVI set. VIS is derived analytically in a computationally efficient manner and its efficacy to identify DVI nodes is validated using the IEEE 37-node test system. It is shown through experiments that KL divergence and Bhattacharyya distance are effective indicators of DVI nodes with an identifying accuracy of more than 90%. The computation burden is also reduced by an order of 5, thus providing the foundation for efficient voltage control.