配电系统中无需测量的母线电压稳定指数预测

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-06-28 DOI:10.1049/gtd2.13211
Mohammad Hasan Hemmatpour
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引用次数: 0

摘要

在电力系统中,过载时的电压崩溃可能是一个重大威胁。准确预测电网中的关键运行条件对于防止此类情况的发生至关重要。对电压崩溃的精确预测使运营商能够密切监控系统,并及时采取必要的纠正措施,避免潜在问题的发生。然而,由于配电系统中的负载和变压器数量众多,监控网络的成本可能会很高。为了应对这一挑战,我们引入了一种名为 "无测量总线电压稳定指数(VSI)预测"(VFWMB)的综合方法。该方法采用创新方法,包括根据拓扑结构确定网络中测量数量和位置的加权最小平方(SOZWLS)观测区搜索技术。此外,还使用长短期记忆(LSTM)预测方法进行短期负荷预测,然后对无测量的总线进行电压估算。最后,建议的方法还能计算出未来几小时配电系统的现代电压稳定指数(MVSIDS)。VFWMB 方法中的所有指标和技术都经过了验证。该算法已在各种网络(包括小型和大型网络、平衡和不平衡网络、实际网络和测试网络)上进行了全面测试,显示出其在电力行业的高效性。
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Prediction of voltage stability index in buses without measurement in distribution systems

In power systems, voltage collapse during overload can be a significant threat. Accurate forecasting of critical operational conditions within power grids is crucial for preventing such situations. Precise predictions of voltage collapse enable operators to monitor the system closely and implement necessary corrective measures promptly, avoiding potential issues. However, monitoring networks can be costly due to the numerous loads and transformers in the distribution system. A comprehensive approach known as the voltage stability index (VSI) forecast without measurement buses (VFWMB) has been introduced to address this challenge. This approach involves innovative methods, including the seeking observation zone with weight least square (SOZWLS) technique for determining the number and location of measurements in the network based on its topology. Additionally, short-term load forecasting is performed using the long short-term memory (LSTM) forecasting method, followed by voltage estimation for buses without measurements. Finally, the proposed method calculates the modern voltage stability index for distribution systems (MVSIDS) for upcoming hours. All indicators and techniques in the VFWMB method have been validated. The algorithm has been thoroughly tested on various networks, including small and large, balanced and unbalanced, and both real and test networks, showing high efficiency in the electricity industry.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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