Artificial Intelligence-Based Smart Power Systems / Edited by Sanjeevikumar Padmanaban, Palanisamy Sivaraman, Chenniappan Sharmeela, Jens Bo Holm-Nielsen.
Material type:
- text
- unmediated
- volume
- 9781119893967
- 621.381/044028563 23/eng/20221205
- TK3105 .A791 2023
Item type | Current library | Collection | Call number | Copy number | Status | Notes | Barcode | |
---|---|---|---|---|---|---|---|---|
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Rabdan Academy General Stacks | General Collection | TK3105 .A791 2023 (Browse shelf(Opens below)) | C. 1 | Available | $ 146.25 | 22581 |
Includes bibliographical references and index.
"In the modern world, power distribution systems, microgrids, and electric vehicles have become absolute necessities due to various reasons. Smart power systems require more sophistication in operation and control. To achieve that sophistication, most of the loads in smart power systems are power electronics-based. However, this produces power quality problems like harmonics, flicker, etc. Power quality conditioners are essential to enhance the power quality in smart power systems. Hardware-in-the-loop (HIL)-based simulation is used to model smart power systems"-- Provided by publisher.
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