Invention Application
US20160125097A1 OPTIMIZING POWER FLOWS USING HARMONY SEARCH WITH MACHINE LEARNING
审中-公开
优化使用和谐搜索与机器学习的功率流
- Patent Title: OPTIMIZING POWER FLOWS USING HARMONY SEARCH WITH MACHINE LEARNING
- Patent Title (中): 优化使用和谐搜索与机器学习的功率流
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Application No.: US14933696Application Date: 2015-11-05
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Publication No.: US20160125097A1Publication Date: 2016-05-05
- Inventor: Yanyi He , Ratnesh Sharma
- Applicant: NEC Laboratories America, Inc.
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G05B19/042 ; G06N99/00

Abstract:
Systems and methods for optimizing power flows using a harmony search, including decoupling phases in a multi-phase power generation system into individual phase agents in a multi-phase power flow model for separately controlling at least one of phase variables or parameters. One or more harmony segments from harmony memory are ranked and selected based on a utility value determined for each of the decoupled phases. A harmony search with gradient descent learning is performed to move the selected harmony segments to a better local neighborhood. A new utility value for each of the selected segments is determined based on historical performance, and the harmony memory is iteratively updated if one or more of the new utility values are higher than a utility value of a worst harmony segment stored in the harmony memory.
Public/Granted literature
- US10108749B2 Optimizing power flows using harmony search with machine learning Public/Granted day:2018-10-23
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