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Applying Dynamic Modeling, Simulation, and Advanced Controls to Improve State-Of-The-Art Smart Inverter Technologies for Variable Renewable Power Systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applying Dynamic Modeling, Simulation, and Advanced Controls to Improve State-Of-The-Art Smart Inverter Technologies for Variable Renewable Power Systems./
作者:	Julien, Simon Anthony.
面頁冊數:	1 online resource (103 pages)
附註:	Source: Masters Abstracts International, Volume: 83-12.
Contained By:	Masters Abstracts International83-12.
標題:	Energy. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29162974click for full text (PQDT)
ISBN:	9798819391778

Applying Dynamic Modeling, Simulation, and Advanced Controls to Improve State-Of-The-Art Smart Inverter Technologies for Variable Renewable Power Systems.
Julien, Simon Anthony.

Applying Dynamic Modeling, Simulation, and Advanced Controls to Improve State-Of-The-Art Smart Inverter Technologies for Variable Renewable Power Systems. - 1 online resource (103 pages)

Source: Masters Abstracts International, Volume: 83-12.

Thesis (M.S.)--University of Colorado at Boulder, 2022.

Includes bibliographical references

The United States Biden administration, state governments, and many countries around the world are pushing sustainability goals for as early as 2030. Given the fact that the power grid is projected to be responsible for over 50% of energy consumption, clean electricity is priority number one for transitioning to a 100% zero-emission nation. Power markets are changing to keep up with the economic advantage wind and solar have found in recent years, but there are still technological road-blocks we must overcome to keep up with sustainability needs. This thesis reviews, models, simulates, and provides new solutions to the leading technological issues of integrating renewable energy into our power grid: 1. managing system harmonic instability that results from integrating asynchronous renewable generation and 2. developing control schemes to mitigate intermittency from renewable power plants in order for them to replace fossil fuels in the niche grid-servicing ancillary markets. Specifically, grid-forming inverters --which provide synthetic inertia that mimics inherent rotational inertia found in most fossil-fueled generators-- are modeled on a test power system at different penetration levels and with or without battery storage. With knowledge of stability of a power system when integrating grid forming inverters on solar or wind power plant production, this work then presents a hierarchical control algorithm for achieving control of highly variable and intermittent, inverter-based generation sources. The aggregate of the work conducted in this thesis presents a proposed solution that paves a path for designing power grid systems that can stably and reliably manage near 100% penetration levels of renewable energy.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798819391778Subjects--Topical Terms:

876794
Energy.
Subjects--Index Terms:

Control systemsIndex Terms--Genre/Form:

542853
Electronic books.

Applying Dynamic Modeling, Simulation, and Advanced Controls to Improve State-Of-The-Art Smart Inverter Technologies for Variable Renewable Power Systems.
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