Method for intelligently adjusting power flow based on Q-learning algorithm
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United States of America
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Nov 19, 2024
Grant Date -
Nov 25, 2021
app pub date -
Oct 11, 2020
filing date -
Oct 11, 2020
priority date (Note) -
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status (Latency Note)
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Abstract
A method for intelligently adjusting a power flow based on a Q-learning algorithm includes: converting a variable, an action, and a goal in a power grid to a state, an action, and a reward in the algorithm, respectively; selecting an action from an action space, giving an immediate reward based on a result of power flow calculation, and correcting a next state; forwardly observing a next exploration action based on a strategy in the Q-learning algorithm; updating a Q value in a corresponding position in a Q-value table based on the obtained reward; if a final state is not reached, going back to step 2; otherwise, increasing the number of iterations by 1; if the number of iterations does not reach predetermined value K, that is, Episode
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International Classification(s)
- 2020 Application Filing Year
- G06N Class
- 17381 Applications Filed
- 9288 Patents Issued To-Date
- 53.44 % Issued To-Date
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- 0 Citation Count
- G06N Class
- 0 % this patent is cited more than
- 1 Age
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