Power distribution network relay protection artificial intelligence setting method based on reinforcement learning algorithm
A technology of relay protection and reinforcement learning, applied in the field of distribution network, can solve the problems of unremovable fault, unable to meet the requirements of rapidity, selectivity and sensitivity of relay protection, long removal time, etc., and achieve the setting result. Accurate and reliable, the effect of solving the deterioration of the tuning result and improving the tuning efficiency
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[0052] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.
[0053] An artificial intelligence setting method for distribution network relay protection based on reinforcement learning algorithm, comprising the following steps:
[0054] Step 1. According to the basic properties of distribution network relay protection, a reward function is established.
[0055] The present invention sets rewards and punishments according to the basic nature of the distribution network relay protection, and the size of the reward value should reflect the rationality of the current fixed value setting. The basic properties of distribution network relay protection include:
[0056] (1) Selectivity: Environmental data should have a topological relationship. The upstream of the fault point and the circuit breaker closest to the fault point are defined as the "should act" circuit breaker. The reward obtained when the circuit b...
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