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Model Predictive Control for Grid Scale PV and Battery.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Model Predictive Control for Grid Scale PV and Battery./
作者:	Chatradi, Sahithi.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:	66 p.
附註:	Source: Masters Abstracts International, Volume: 83-12.
Contained By:	Masters Abstracts International83-12.
標題:	Electrical engineering. -
電子資源:	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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245 1 0 $a Model Predictive Control for Grid Scale PV and Battery.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
300 $a 66 p.
500 $a Source: Masters Abstracts International, Volume: 83-12.
500 $a Advisor: Armstrong, Brian.
502 $a Thesis (M.S.)--The University of Wisconsin - Milwaukee, 2022.
506 $a This item must not be sold to any third party vendors.
520 $a 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.
590 $a School code: 0263.
650 4 $a Electrical engineering. $3 649834
650 4 $a Energy. $3 876794
650 4 $a Alternative energy. $3 3436775
650 4 $a Optics. $3 517925
650 4 $a Chemical engineering. $3 560457
653 $a Battery
653 $a Control
653 $a Curtailment
653 $a Grid
653 $a Model predictive control
653 $a Photovoltaic
690 $a 0544
690 $a 0752
690 $a 0542
690 $a 0363
690 $a 0791
710 2 $a The University of Wisconsin - Milwaukee. $b Engineering. $3 2094093
773 0 $t Masters Abstracts International $g 83-12.
790 $a 0263
791 $a M.S.
792 $a 2022
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28968396