Applying Different Wide-Area Response-Based Controls to Different Contingencies in Power Systems

Applying Different Wide-Area Response-Based Controls to Different Contingencies in Power Systems
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DOI:
10.1109/peci51586.2021.9435251
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发表时间:
2019-08
期刊:
2021 IEEE Power and Energy Conference at Illinois (PECI)
影响因子:
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通讯作者:
Shahrzad Iranmanesh;S. Rovnyak
Shahrzad Iranmanesh;S. Rovnyak
中科院分区:
其他
文献类型:
--
作者:
Shahrzad Iranmanesh;S. Rovnyak

文献摘要

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电力系统中的电气干扰会威胁稳定性。单触发控制是稳定某些事件的有效方法。在本文中,预定量的负载在网络周围增加或减少。确定负荷量和甩负荷位置至关重要。本文分为两个不同的部分。第一,找到有效的控制组合,第二,找到一种算法,用于将不同的控制组合应用于真实的时间不同的突发事件。采用粒子群优化算法寻找有效的控制组合。接下来,决策树(DT)进行训练,以评估应用PSO方法找到的三个最有效的控制组合中的每一个的好处。DT输出被组合到用于真实的时间选择最佳控制的算法中。最后,该算法进行了评估,使用测试集的意外事件。结果显示,与以前的研究相比,改善了46%。
Electrical disturbances in the power system can threaten stability. One-shot control is an effective method for stabilizing some events. In this paper, predetermined amounts of loads are increased or decreased around the network. Determining the amounts of loads, and the location for shedding is crucial. This paper is completed in two different sections. First, finding the effective control combinations, and second, finding an algorithm for applying different control combinations to different contingencies in real time. The particle swarm optimization (PSO) algorithm is used to find the effective control combinations. Next, decision trees (DT) are trained to assess the benefits of applying each of the three most effective control combinations found by PSO method. The DT outputs are combined into an algorithm for selecting the best control in real time. Finally, the algorithm is evaluated using a test set of contingencies. The results reveal a 46% improvement in comparison to previous studies.