Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313149626> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4313149626 abstract "With the rapid development of modern power systems, the penetration rates of power electronic equipment and renewable energy are increasing, which bring challenges to stable operation. Due to the strong randomness and uncertainty, the conventional method based on mathematical model can not control modern power systems. So in this paper, a deep reinforcement learning (DRL) based method is proposed to realize the stable autonomous control of power systems. Specific, soft actor-critic (SAC) is used to reroute power flow in transmission lines via autonomous topology optimization control. Besides, to solve huge action space in topology switching and the vulnerability of DRL agents in power systems, a pre-trained scheme based on imitation learning (IL) is presented to use in SAC. Simulations on the IEEE 118-bus system for topology optimization are carried out under random perturbations and common adversarial perturbations to validate the effectiveness and robustness of the proposed methods. The results show that our methods have outstanding performance." @default.
- W4313149626 created "2023-01-06" @default.
- W4313149626 creator A5050008996 @default.
- W4313149626 creator A5054602858 @default.
- W4313149626 creator A5057898837 @default.
- W4313149626 creator A5083057446 @default.
- W4313149626 creator A5087686703 @default.
- W4313149626 date "2022-07-25" @default.
- W4313149626 modified "2023-09-26" @default.
- W4313149626 title "Deep Reinforcement Learning Based Autonomous Control Approach for Power System Topology Optimization" @default.
- W4313149626 cites W2015064131 @default.
- W4313149626 cites W2093197140 @default.
- W4313149626 cites W2109176395 @default.
- W4313149626 cites W2347074400 @default.
- W4313149626 cites W2589841793 @default.
- W4313149626 cites W2766447205 @default.
- W4313149626 cites W2786115198 @default.
- W4313149626 cites W2807860438 @default.
- W4313149626 cites W2888100907 @default.
- W4313149626 cites W2892841407 @default.
- W4313149626 cites W2901621510 @default.
- W4313149626 cites W2911591564 @default.
- W4313149626 cites W2952242647 @default.
- W4313149626 cites W2962755762 @default.
- W4313149626 cites W2973460848 @default.
- W4313149626 cites W2990694606 @default.
- W4313149626 cites W3005740240 @default.
- W4313149626 cites W3147244611 @default.
- W4313149626 doi "https://doi.org/10.23919/ccc55666.2022.9902073" @default.
- W4313149626 hasPublicationYear "2022" @default.
- W4313149626 type Work @default.
- W4313149626 citedByCount "0" @default.
- W4313149626 crossrefType "proceedings-article" @default.
- W4313149626 hasAuthorship W4313149626A5050008996 @default.
- W4313149626 hasAuthorship W4313149626A5054602858 @default.
- W4313149626 hasAuthorship W4313149626A5057898837 @default.
- W4313149626 hasAuthorship W4313149626A5083057446 @default.
- W4313149626 hasAuthorship W4313149626A5087686703 @default.
- W4313149626 hasConcept C104317684 @default.
- W4313149626 hasConcept C105795698 @default.
- W4313149626 hasConcept C119599485 @default.
- W4313149626 hasConcept C121332964 @default.
- W4313149626 hasConcept C125112378 @default.
- W4313149626 hasConcept C127413603 @default.
- W4313149626 hasConcept C133731056 @default.
- W4313149626 hasConcept C154945302 @default.
- W4313149626 hasConcept C163258240 @default.
- W4313149626 hasConcept C184720557 @default.
- W4313149626 hasConcept C185592680 @default.
- W4313149626 hasConcept C33923547 @default.
- W4313149626 hasConcept C41008148 @default.
- W4313149626 hasConcept C55493867 @default.
- W4313149626 hasConcept C62520636 @default.
- W4313149626 hasConcept C63479239 @default.
- W4313149626 hasConcept C89227174 @default.
- W4313149626 hasConcept C97541855 @default.
- W4313149626 hasConceptScore W4313149626C104317684 @default.
- W4313149626 hasConceptScore W4313149626C105795698 @default.
- W4313149626 hasConceptScore W4313149626C119599485 @default.
- W4313149626 hasConceptScore W4313149626C121332964 @default.
- W4313149626 hasConceptScore W4313149626C125112378 @default.
- W4313149626 hasConceptScore W4313149626C127413603 @default.
- W4313149626 hasConceptScore W4313149626C133731056 @default.
- W4313149626 hasConceptScore W4313149626C154945302 @default.
- W4313149626 hasConceptScore W4313149626C163258240 @default.
- W4313149626 hasConceptScore W4313149626C184720557 @default.
- W4313149626 hasConceptScore W4313149626C185592680 @default.
- W4313149626 hasConceptScore W4313149626C33923547 @default.
- W4313149626 hasConceptScore W4313149626C41008148 @default.
- W4313149626 hasConceptScore W4313149626C55493867 @default.
- W4313149626 hasConceptScore W4313149626C62520636 @default.
- W4313149626 hasConceptScore W4313149626C63479239 @default.
- W4313149626 hasConceptScore W4313149626C89227174 @default.
- W4313149626 hasConceptScore W4313149626C97541855 @default.
- W4313149626 hasFunder F4320326707 @default.
- W4313149626 hasLocation W43131496261 @default.
- W4313149626 hasOpenAccess W4313149626 @default.
- W4313149626 hasPrimaryLocation W43131496261 @default.
- W4313149626 hasRelatedWork W161961075 @default.
- W4313149626 hasRelatedWork W2100769662 @default.
- W4313149626 hasRelatedWork W2298740468 @default.
- W4313149626 hasRelatedWork W2371382827 @default.
- W4313149626 hasRelatedWork W2959276766 @default.
- W4313149626 hasRelatedWork W3005560120 @default.
- W4313149626 hasRelatedWork W3037422413 @default.
- W4313149626 hasRelatedWork W3209094908 @default.
- W4313149626 hasRelatedWork W4206669594 @default.
- W4313149626 hasRelatedWork W4210912933 @default.
- W4313149626 isParatext "false" @default.
- W4313149626 isRetracted "false" @default.
- W4313149626 workType "article" @default.