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- Title
An Online Reactive Power-Optimization Strategy Based on Load-Curve Prediction and Segmentation.
- Authors
Li, Yaqiong; Wang, Tongxun; Deng, Zhanfeng
- Abstract
Featured Application: Voltage Regulation in Distribution Systems. Due to fluctuating characteristics of loads, dynamic reactive power optimization over a certain time period is essential to provide effective strategies to maintain the security and economic operation of distribution systems. In operation, reactive power compensation devices cannot be adjusted too frequently due to their lifetime constraints. Thus, in this paper, an online reactive power optimization strategy based on the segmentation of multiple predicted load curves is proposed to address this issue, aiming to minimize network losses and at the same time to minimize reactive power-compensation device adjustment times. Based on forecasted time series of loads, the strategy first segments each load curve into several sections by means of thresholding a filtered signal, and then optimizes reactive power dispatch based on average load in each section. Through case studies using a modified IEEE 34-bus system and field measurement of loads, the merits of the proposed strategy is verified in terms of both optimization performance and computational efficiency compared with state-of-the-art methods.
- Subjects
INSTITUTE of Electrical &; Electronics Engineers; REACTIVE power; ECONOMIC forecasting; ECONOMIC security; TIME series analysis; RADIAL distribution function; TIME measurements; LOAD forecasting (Electric power systems)
- Publication
Applied Sciences (2076-3417), 2020, Vol 10, Issue 3, p1145
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app10031145