Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/54857
Title: Reliability management of power systems with wind power generation and energy storage
Authors: Gao, Zhiyong
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
DRNTU::Engineering::Electrical and electronic engineering::Electric power::Auxiliaries, applications and electric industries
Issue Date: 2013
Source: Gao, Z. (2013). Reliability management of power systems with wind power generation and energy storage. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: With increasing concerns of sustainable development of energy resources, many countries have planned to incorporate large percentages of renewable energy into their electrical power systems. Wind energy draws most attentions because it can be produced at acceptable cost with relatively mature technologies. Due to the intermittent and unpredictable nature of wind speed, power output from wind turbine generators (WTGs) is highly variable and uncontrollable. Many problems such as reliability and security issues will arise when existing power systems are integrated with high wind power penetration. New methods and techniques should be proposed to evaluate and solve these problems. This thesis focuses on investigating the impacts of integration of large amounts of wind power generation on power system reliability, and investigating optimal battery energy storage sizing techniques. The thesis focuses on operational reliability evaluation of power systems with wind energy and energy storage, and energy storage sizing techniques considering ramp rates of conventional generating units based on cost/worth analysis. Basic reliability evaluation techniques have also been introduced for easy understanding of power system reliability evaluation issue.
URI: https://hdl.handle.net/10356/54857
DOI: 10.32657/10356/54857
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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