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Optimized distribution protection using binary programming
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AI
DOI：10.1109/61.660881.png)
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Abstract
En 中文
The fundamental goal of an electric utility is to serve its customers with a reliable and low cost power supply. This goal has led to a number of standard protection engineering practices that ensure adequate service; however, with deregulation of the utility industry and increased competitive pressures, there is a desire to further improve service reliability and reduce costs. In this vein, this work proposes a binary programming optimization to identify type and location of the protective devices on a distribution feeder. The proposed algorithm uses engineering heuristics to minimize computational time. Numerical examples highlight the proposed approach.
Keywords:
distribution reliability
distribution systems
integer programming
linear programming
protection design
Journal
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3.7
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9.1K
Citations:
2.2W
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