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A Hierarchical Design Methodology fo...

Lainfiesta Herrera, Maximiliano.

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A Hierarchical Design Methodology for Polygeneration Microgrid Deployment in Medium-Sized Communities.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Hierarchical Design Methodology for Polygeneration Microgrid Deployment in Medium-Sized Communities./
作者:	Lainfiesta Herrera, Maximiliano.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	186 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-12.
Contained By:	Dissertations Abstracts International81-12.
標題:	Energy. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27834077
ISBN:	9798643179719

A Hierarchical Design Methodology for Polygeneration Microgrid Deployment in Medium-Sized Communities.
Lainfiesta Herrera, Maximiliano.

A Hierarchical Design Methodology for Polygeneration Microgrid Deployment in Medium-Sized Communities. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 186 p.

Source: Dissertations Abstracts International, Volume: 81-12.

Thesis (Ph.D.)--Texas A&M University - Kingsville, 2020.

This item must not be sold to any third party vendors.

Power infrastructure must become greener, more efficient, resilient and reliable. The power grid must accommodate diverse sources of generation, allow consumer participation, maintain and restore power during man-made and natural disasters, provide high-quality power, all this, while being affordable, efficient, resilient and reliable. Of special interest is the community level, to assure comfort, health, and safety of final users. Microgrids can be a solution to achieve these goals. Here, we consider "polygeneration" microgrids; these advanced microgrids can deal with electricity but also with heat, cold, purified water, biofuels, and other products. In this work, we fill a literature gap by presenting a general framework for microgrid and polygeneration microgrid modeling, design and optimization in the context of community level. The problem is approached at three levels. Level One, the optimal planning and operation strategy of individual polygeneration microgrids. Optimal planning is achieved using particle swarm optimization to design systems that will reduce CO2 emissions, fuel consumption, and overall cost compared to a conventional system. A decision support system is implemented by comparing different operational strategies that will further improve performance on a day-ahead and hour-ahead perspective. Level Two, the optimal power trading method and interconnection configuration in networks of transactive microgrids and the utility grid that will minimize operational costs and assure system stability. A model of two interconnected microgrids and the utility grid is implemented, several cases combining three energy trading mechanisms and six interconnection configurations are tested. Controller parameters and operational costs are optimized for each case. Level Three, the effect of multiple interconnected microgrids embedded at the community level on improving overall voltage stability and cost. A model of two direct current (DC) microgrids and a DC community grid is implemented. High penetration of solar photovoltaic (PV) generation and several contingencies are modeled to prove that voltage stability and improved operational cost can be achieved. Results for level 1 show that optimally designed polygeneration microgrids can achieve a significant reduction of CO2 emissions, fuel consumption, and overall cost compared to a conventional system. A decision support system is implemented to choose the optimal operational strategy that will further improve savings. Results for level 2, show that interconnected microgrids can be optimized to improve operational cost and frequency stability. And, for level 3, interconnected microgrids embedded in a community can improve operational cost and voltage stability. This work addresses an important aspect of microgrid deployment. The intention is to integrate a multi-level framework to be used by stakeholders to aid in the planning and subsequent deployment of successful microgrids and polygeneration microgrids at the community level.

ISBN: 9798643179719Subjects--Topical Terms:

876794
Energy.
Subjects--Index Terms:

Microgrid design

A Hierarchical Design Methodology for Polygeneration Microgrid Deployment in Medium-Sized Communities.
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300 $a 186 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-12.
500 $a Advisor: Zhang, Xuewei.
502 $a Thesis (Ph.D.)--Texas A&M University - Kingsville, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Power infrastructure must become greener, more efficient, resilient and reliable. The power grid must accommodate diverse sources of generation, allow consumer participation, maintain and restore power during man-made and natural disasters, provide high-quality power, all this, while being affordable, efficient, resilient and reliable. Of special interest is the community level, to assure comfort, health, and safety of final users. Microgrids can be a solution to achieve these goals. Here, we consider "polygeneration" microgrids; these advanced microgrids can deal with electricity but also with heat, cold, purified water, biofuels, and other products. In this work, we fill a literature gap by presenting a general framework for microgrid and polygeneration microgrid modeling, design and optimization in the context of community level. The problem is approached at three levels. Level One, the optimal planning and operation strategy of individual polygeneration microgrids. Optimal planning is achieved using particle swarm optimization to design systems that will reduce CO2 emissions, fuel consumption, and overall cost compared to a conventional system. A decision support system is implemented by comparing different operational strategies that will further improve performance on a day-ahead and hour-ahead perspective. Level Two, the optimal power trading method and interconnection configuration in networks of transactive microgrids and the utility grid that will minimize operational costs and assure system stability. A model of two interconnected microgrids and the utility grid is implemented, several cases combining three energy trading mechanisms and six interconnection configurations are tested. Controller parameters and operational costs are optimized for each case. Level Three, the effect of multiple interconnected microgrids embedded at the community level on improving overall voltage stability and cost. A model of two direct current (DC) microgrids and a DC community grid is implemented. High penetration of solar photovoltaic (PV) generation and several contingencies are modeled to prove that voltage stability and improved operational cost can be achieved. Results for level 1 show that optimally designed polygeneration microgrids can achieve a significant reduction of CO2 emissions, fuel consumption, and overall cost compared to a conventional system. A decision support system is implemented to choose the optimal operational strategy that will further improve savings. Results for level 2, show that interconnected microgrids can be optimized to improve operational cost and frequency stability. And, for level 3, interconnected microgrids embedded in a community can improve operational cost and voltage stability. This work addresses an important aspect of microgrid deployment. The intention is to integrate a multi-level framework to be used by stakeholders to aid in the planning and subsequent deployment of successful microgrids and polygeneration microgrids at the community level.
590 $a School code: 1187.
650 4 $a Energy. $3 876794
653 $a Microgrid design
653 $a Optimization
653 $a Polygeneration
690 $a 0791
710 2 $a Texas A&M University - Kingsville. $b Electrical Engineering and Computer Science. $3 2102338
773 0 $t Dissertations Abstracts International $g 81-12.
790 $a 1187
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27834077