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Power Quality Enhancement in Microgrid With Dstatcom Using Modified Reinforcement Learning Algorithm
| Content Provider | Scilit |
|---|---|
| Author | Prabaakaran, K. Krishnakumar, Sri Srividhya, R. Raw, R. Ganesh Gotham, R. Tamilarasan, R. |
| Copyright Year | 2019 |
| Description | Journal: Journal of Physics: Conference Series To enhance the power quality issue in grid system a new strategy with modification in algorithm is presented as reinforcement learning. A new technique will mitigate issues like reactive power, harmonics, voltage sag, voltage swell. A system as a current controller to enhance the current issue and the voltage controller to enhance the power quality issues in voltage. Due to an issue of unbalanced load in the grid the weak AC supply can be compensated by using the modified reinforcement learning algorithm. During the occurrence of the power quality issue in the grid modified reinforcement learning algorithm is proposed due to quick response. |
| Related Links | https://iopscience.iop.org/article/10.1088/1742-6596/1362/1/012080/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/1362/1/012080 |
| Journal | Journal of Physics: Conference Series |
| Issue Number | 1 |
| Volume Number | 1362 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2019-11-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Hardware and Architecture Industrial Engineering Power Quality Issue Reinforcement Learning Algorithm Modified Reinforcement Learning Using Modified |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |
