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Reliability and Stability Assessment of Renewable Energy and Energy Storage Integrated Systems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Reliability and Stability Assessment of Renewable Energy and Energy Storage Integrated Systems./
Author:	Pandit, Dilip.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
Description:	101 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=28963455
ISBN:	9798438771531

Reliability and Stability Assessment of Renewable Energy and Energy Storage Integrated Systems.
Pandit, Dilip.

Reliability and Stability Assessment of Renewable Energy and Energy Storage Integrated Systems. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 101 p.

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

Thesis (M.S.)--University of Wyoming, 2022.

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

The integration of renewable energy resources into power systems is increasing globally because of the inherent advantages of unlimited supply and negligible emissions. Decreasing capital costs and increasing efficiency have been the major drivers in the growing integration of renewable energy resources (RERs). With the projected increase in RER integration and the associated displacement of high-inertia conventional generators, there are concerns over their negative effects on the reliability and stability of power grids. The displacement of conventional sources by RERs must be limited to ensure frequency stability, which in turn affects the system reliability. Hence, with the growing integration of RERs, accurate reliability models are essential that consider limited integration of RERs along with the generation intermittency and variable component availability associated with RERs. The energy storage systems (ESS) and electric vehicles (EVs) have emerged as mitigation measures to the reliability and stability problems due to RER integration. Their growing integration dictates their inclusion in the reliability and frequency stability assessment problem.This research proposes analytical and Monte Carlo simulation (MCS) based reliability assessment techniques for RER integrated systems, with an emphasis on the photovoltaic (PV) and wind systems. A discrete convolution-based analytical model is proposed that incorporates a thermal power loss model to account for the varying availability of PV array components. Also, the model incorporates a PV power integration limit to account for frequency stability. Improvement in system reliability using wind power, ESS, and EVs is illustrated using MCS-based reliability models for these components. The operation strategy for ESS and EVs includes a dynamic PV integration level assessment technique where the maximum PV power penetration is determined with changing system states and included in the reliability assessment problem. In regard to ESS sizing, an analytical model for the inertia response and primary frequency reserve is proposed based on system frequency nadir, rate of change of frequency (RoCoF), and steady-state frequency with varying RER integration. A mixed-timing MCS-based ESS sizing algorithm is also proposed that incorporates frequency stability and wind power aggregation in the estimation of ESS size.

ISBN: 9798438771531Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Energy storage

Reliability and Stability Assessment of Renewable Energy and Energy Storage Integrated Systems.
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520 $a The integration of renewable energy resources into power systems is increasing globally because of the inherent advantages of unlimited supply and negligible emissions. Decreasing capital costs and increasing efficiency have been the major drivers in the growing integration of renewable energy resources (RERs). With the projected increase in RER integration and the associated displacement of high-inertia conventional generators, there are concerns over their negative effects on the reliability and stability of power grids. The displacement of conventional sources by RERs must be limited to ensure frequency stability, which in turn affects the system reliability. Hence, with the growing integration of RERs, accurate reliability models are essential that consider limited integration of RERs along with the generation intermittency and variable component availability associated with RERs. The energy storage systems (ESS) and electric vehicles (EVs) have emerged as mitigation measures to the reliability and stability problems due to RER integration. Their growing integration dictates their inclusion in the reliability and frequency stability assessment problem.This research proposes analytical and Monte Carlo simulation (MCS) based reliability assessment techniques for RER integrated systems, with an emphasis on the photovoltaic (PV) and wind systems. A discrete convolution-based analytical model is proposed that incorporates a thermal power loss model to account for the varying availability of PV array components. Also, the model incorporates a PV power integration limit to account for frequency stability. Improvement in system reliability using wind power, ESS, and EVs is illustrated using MCS-based reliability models for these components. The operation strategy for ESS and EVs includes a dynamic PV integration level assessment technique where the maximum PV power penetration is determined with changing system states and included in the reliability assessment problem. In regard to ESS sizing, an analytical model for the inertia response and primary frequency reserve is proposed based on system frequency nadir, rate of change of frequency (RoCoF), and steady-state frequency with varying RER integration. A mixed-timing MCS-based ESS sizing algorithm is also proposed that incorporates frequency stability and wind power aggregation in the estimation of ESS size.
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