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Model Predictive Control for Grid Scale PV and Battery.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Model Predictive Control for Grid Scale PV and Battery./
Author:
Chatradi, Sahithi.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2022,
Description:
66 p.
Notes:
Source: Masters Abstracts International, Volume: 83-12.
Contained By:
Masters Abstracts International83-12.
Subject:
Electrical engineering. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28968396
ISBN:
9798819371237
Model Predictive Control for Grid Scale PV and Battery.
Chatradi, Sahithi.
Model Predictive Control for Grid Scale PV and Battery.
- Ann Arbor : ProQuest Dissertations & Theses, 2022 - 66 p.
Source: Masters Abstracts International, Volume: 83-12.
Thesis (M.S.)--The University of Wisconsin - Milwaukee, 2022.
This item must not be sold to any third party vendors.
Model Predictive Control (MPC) is a control technique that uses prediction data to optimize costs over a given predictive horizon. There are many papers that use this technique to optimize cost in a substantially loaded microgrid, but these techniques are not feasible for utility-scale PV+Storage facility. In this study, MPC is used to optimize the cost for a utility-scale PV+Storage facility, by adding a factor of a possible curtailment. The thesis also presents the various factors that the MPC has in that utility size grid. These factors include line losses, net yield, and curtailment.
ISBN: 9798819371237Subjects--Topical Terms:
649834
Electrical engineering.
Subjects--Index Terms:
Battery
Model Predictive Control for Grid Scale PV and Battery.
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Model Predictive Control for Grid Scale PV and Battery.
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66 p.
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Source: Masters Abstracts International, Volume: 83-12.
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Advisor: Armstrong, Brian.
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Thesis (M.S.)--The University of Wisconsin - Milwaukee, 2022.
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This item must not be sold to any third party vendors.
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Model Predictive Control (MPC) is a control technique that uses prediction data to optimize costs over a given predictive horizon. There are many papers that use this technique to optimize cost in a substantially loaded microgrid, but these techniques are not feasible for utility-scale PV+Storage facility. In this study, MPC is used to optimize the cost for a utility-scale PV+Storage facility, by adding a factor of a possible curtailment. The thesis also presents the various factors that the MPC has in that utility size grid. These factors include line losses, net yield, and curtailment.
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Control
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Grid
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English
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28968396
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