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Title: | Multi-stage coordinated robust var planning of wind penetrated power system based on voltage resilience indices | Authors: | Chi, Yuan | Keywords: | Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution | Issue Date: | 2021 | Publisher: | Nanyang Technological University | Source: | Chi, Y. (2021). Multi-stage coordinated robust var planning of wind penetrated power system based on voltage resilience indices. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/147761 | Abstract: | Escalating environmental pressure leads to increasing grid integration of renewable energy resources and it makes the power system becomes vulnerable to voltage disturbance triggered by equipment failure or extreme weather conditions. This thesis studies the VAR planning of a wind-penetrated power system with complex loads. First, a multi-stage coordinated VAR planning model is proposed to improve the efficiency of VAR planning with a novel set of voltage resilience indices aiming to evaluate the capability and performance of the system before and after a contingency comprehensively. Then, to avoid selecting redundant buses and improve the consistency of the candidate buses, a multi-objective zoning-based candidate bus selection approach is developed. Finally, the robustness of the optimal solutions is evaluated quantitatively and enhanced with affordable computational complexity. Case studies on modified New England 39-bus system and Nordic 74-bus system with industry-standard complex loads show the effectiveness of the proposed method. | URI: | https://hdl.handle.net/10356/147761 | DOI: | 10.32657/10356/147761 | Schools: | School of Electrical and Electronic Engineering | Rights: | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Theses |
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File | Description | Size | Format | |
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CHI YUAN G1700107E PhD Thesis.pdf | 14.71 MB | Adobe PDF | ![]() View/Open |
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