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Probabilistic Power Flow Studies to Examine the Influence of Photovoltaic Generation on Transmission System Reliability


Abstract Photovoltaic (PV) power generation has the potential to cause a significant impact on power system reliability since its total installed capacity is projected to increase at a significant rate. PV generation can be described as an intermittent and variable resource because its production is influenced by ever-changing environmental conditions. The study in this dissertation focuses on the influence of PV generation on trans-mission system reliability. This is a concern because PV generation output is integrated into present power systems at various voltage levels and may significantly affect the power flow patterns. This dissertation applies a probabilistic power flow (PPF) algorithm to evaluate the influence of PV generation uncertainty on... (more)
Created Date 2012
Contributor Fan, Miao (Author) / Vittal, Vijay (Advisor) / Heydt, Gerald Thomas (Committee member) / Ayyanar, Raja (Committee member) / Si, Jennie (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / Photovoltaic generation / Power system planning / Power system reliability / Probabilistic power flow / Renewable energy / Stochastic power flow
Type Doctoral Dissertation
Extent 122 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Ph.D. Electrical Engineering 2012
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis