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Maximum voltage magnitude violations.

Maximum voltage magnitude violations.

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Fig. 2. Different between the reward of RL algorithms and that of the...
Fig. 3. Maximum voltage magnitude violations.
A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment
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  • Apr 2022
To facilitate the development of reinforcement learning (RL) based power distribution system Volt-VAR control (VVC), this paper introduces a suite of open-source datasets for RL-based VVC algorithm research that is sample efficient, safe, and robust. The dataset consists of two components: 1. a Gym-like VVC testing environment for the IEEE-13, 123,...
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... due to the presence of time variables and the temporal patterns of loads, RL can still outperform the default controls. Figure 3 shows the maximum voltage magnitude violations for each timestamp. Although they decrease as training progresses, initially there is a long period of unsafe explorations that produces large voltage magnitude violations. ...