基于决策树模糊控制器的并网城市社区多微网簇孤岛检测

IF 2.1 Q3 ENVIRONMENTAL SCIENCES Urban science (Basel, Switzerland) Pub Date : 2023-07-03 DOI:10.3390/urbansci7030072
Yellapragada Venkata Pavan Kumar, Sivakavi Naga Venkata Bramareswara Rao, R. Kannan
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引用次数: 0

摘要

基于可再生能源的微电网的开发被认为是减轻集中式公用电网持续负担的潜在解决方案。此外,最近的研究表明,在城市社区开发的集成多微电网集群系统最大限度地提高了微电网的有效性,并大大降低了对公用电网的依赖性。然而,由于可再生能源的不确定性和频繁的负载变化,这些系统面临着非故意孤岛操作的问题。这可能会对微电网在稳定运行条件下的性能造成严重损害,并导致不期望的瞬态响应。因此,必须迅速查明孤岛现象,以便采取预防措施来解决这一问题。这需要开发一种在准确性和及时检测方面更快的合适的反孤岛技术。为此,本文提出了一种基于决策树的模糊逻辑(DT-FL)控制器,用于城市社区多微电网集群中岛屿的快速识别。DT-FL控制器的操作包括两个步骤。首先,决策树提取多微电网系统公共耦合点的电气参数。其次,这些提取的参数用于模糊逻辑控制器的在线调整,用于孤岛的快速检测。所研究的多微电网集群以及所提出的孤岛技术在MATLAB-2021a软件中实现。通过与传统模糊逻辑控制器在不同测试场景下的性能比较,验证了所提出的DT-FL控制器的有效性。从结果中可以看出,与传统控制器相比,所提出的DT-FL控制器在孤岛检测时间以及系统的瞬态响应方面表现出优越的性能。
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Islanding Detection in Grid-Connected Urban Community Multi-Microgrid Clusters Using Decision-Tree-Based Fuzzy Logic Controller for Improved Transient Response
The development of renewable-energy-based microgrids is being considered as a potential solution to lessen the unrelenting burden on the centralized utility grid. Furthermore, recent studies reveal that integrated multi-microgrid cluster systems developed in urban communities maximize the effectiveness of microgrids and greatly decrease the utility grid dependence. However, due to the uncertain nature of renewable energy sources and frequent load variations, these systems face issues with unintentional islanding operations. This can create severe damage to the microgrid’s performance in its stable operating condition and lead to undesired transient responses. Hence, islanding must be identified rapidly to take preventive measures to address the issue. This requires the development of a suitable anti-islanding technique that is faster in terms of accuracy and timely detection. With this intention, this paper proposes a decision-tree-based fuzzy logic (DT-FL) controller for the rapid identification of islands in an urban community multi-microgrid cluster. The DT-FL controller’s operation includes two steps. First, the decision tree extracts the electrical parameters at the point of common coupling of the multi-microgrid system. Second, these extracted parameters are utilized for the online tuning of the fuzzy logic controller, for the fast detection of islanding. The multi-microgrid cluster under study, along with the proposed islanding technique, is implemented in the MATLAB-2021a software. The efficacy of the proposed DT-FL controller is validated by comparing its performance with that of the conventional fuzzy logic controller under different test scenarios. From the results, it is observed that the proposed DT-FL controller shows superior performance in terms of the islanding detection time as well as the transient response of the system when compared with the conventional controller.
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4.30
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审稿时长
11 weeks
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