COI-based quantitative frequency security assessment of power system in estimating maximum penetration level of wind power
Due to the increase in sustainable energy resource integration, the operation and control of power system have become very complicated. This has resulted in a significant challenge faced by system operators to maintain a stable power system operation. With the widespread integration of wind power...
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| Format: | Thesis |
| Language: | English |
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2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/70951/ http://psasir.upm.edu.my/id/eprint/70951/1/FK%202017%202%20-%20IR.pdf |
| _version_ | 1848856838025510912 |
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| author | Al Mentefik, Athraa Iessa Shaaban |
| author_facet | Al Mentefik, Athraa Iessa Shaaban |
| author_sort | Al Mentefik, Athraa Iessa Shaaban |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Due to the increase in sustainable energy resource integration, the operation and
control of power system have become very complicated. This has resulted in a
significant challenge faced by system operators to maintain a stable power system
operation. With the widespread integration of wind power to the system, the
frequency security assessment (FSA) has become essential due to the impact of less
inertia and variable nature brought by this power on system frequency.
Many studies have been conducted assessing the frequency security level of power
system. However, these methods can only measure the severity of disturbance at one
point in time. On top of that, most assessment methods depend on a unit frequency
that may differ according to disturbance location or unit status. Therefore, there is a
need to find a comprehensive method for assessing frequency security covering the
time of frequency deviation based on equivalent system frequency. Thus, the present
study was conducted to explore and address a new method to evaluate frequency
security, identify system’s weakest frequency bus and estimate the maximum wind
penetration level using transient frequency deviation index (TFDI) based on the
Centre of Inertia frequency (fCOI).
The first objective of this study is to use fCOI together with TFDI to quantitatively
assess system’s security level. Thus, a methodology evaluating the frequency
security level is presented in this study. The second objective of this thesis seeks to
identify the weakest frequency bus using the ability of TFDI to evaluate the security
level of individual buses (consumers). The final purpose of this study is to introduce
a method to estimate the maximum level of wind power that can be integrated into
the grid by maintaining acceptable operation frequency. The first contribution of this study is represented by the development of a new and
particular method for FSA to enhance security assessment. By using fCOI features,
the security level of system disturbances can be easily achieved without identifying
all system bus frequencies. Additionally, this method is able to evaluate whole
system security levels irrespective of affected generator or disturbance location.
Previously, TFDI was not used to identify system’s weakest bus. Therefore, the
second contribution of this study is the introduction of an approach that can identify
system’s weakest bus frequency using the ability of TFDI to evaluate the security
level of individual bus and use it as a wind power integrated bus to enhance the
accuracy in estimating maximum wind power penetration level. Finally, the third
contribution of the study is that it provides a simple method to estimate the
maximum allowable amount of wind power that can be added to the grid without
affecting system frequency security. This new method is simple as it does not require
complicated calculations or historical data. |
| first_indexed | 2025-11-15T11:48:01Z |
| format | Thesis |
| id | upm-70951 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:48:01Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-709512019-08-29T07:33:01Z http://psasir.upm.edu.my/id/eprint/70951/ COI-based quantitative frequency security assessment of power system in estimating maximum penetration level of wind power Al Mentefik, Athraa Iessa Shaaban Due to the increase in sustainable energy resource integration, the operation and control of power system have become very complicated. This has resulted in a significant challenge faced by system operators to maintain a stable power system operation. With the widespread integration of wind power to the system, the frequency security assessment (FSA) has become essential due to the impact of less inertia and variable nature brought by this power on system frequency. Many studies have been conducted assessing the frequency security level of power system. However, these methods can only measure the severity of disturbance at one point in time. On top of that, most assessment methods depend on a unit frequency that may differ according to disturbance location or unit status. Therefore, there is a need to find a comprehensive method for assessing frequency security covering the time of frequency deviation based on equivalent system frequency. Thus, the present study was conducted to explore and address a new method to evaluate frequency security, identify system’s weakest frequency bus and estimate the maximum wind penetration level using transient frequency deviation index (TFDI) based on the Centre of Inertia frequency (fCOI). The first objective of this study is to use fCOI together with TFDI to quantitatively assess system’s security level. Thus, a methodology evaluating the frequency security level is presented in this study. The second objective of this thesis seeks to identify the weakest frequency bus using the ability of TFDI to evaluate the security level of individual buses (consumers). The final purpose of this study is to introduce a method to estimate the maximum level of wind power that can be integrated into the grid by maintaining acceptable operation frequency. The first contribution of this study is represented by the development of a new and particular method for FSA to enhance security assessment. By using fCOI features, the security level of system disturbances can be easily achieved without identifying all system bus frequencies. Additionally, this method is able to evaluate whole system security levels irrespective of affected generator or disturbance location. Previously, TFDI was not used to identify system’s weakest bus. Therefore, the second contribution of this study is the introduction of an approach that can identify system’s weakest bus frequency using the ability of TFDI to evaluate the security level of individual bus and use it as a wind power integrated bus to enhance the accuracy in estimating maximum wind power penetration level. Finally, the third contribution of the study is that it provides a simple method to estimate the maximum allowable amount of wind power that can be added to the grid without affecting system frequency security. This new method is simple as it does not require complicated calculations or historical data. 2017-01 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/70951/1/FK%202017%202%20-%20IR.pdf Al Mentefik, Athraa Iessa Shaaban (2017) COI-based quantitative frequency security assessment of power system in estimating maximum penetration level of wind power. Masters thesis, Universiti Putra Malaysia. Wind power - Research Wind power industry |
| spellingShingle | Wind power - Research Wind power industry Al Mentefik, Athraa Iessa Shaaban COI-based quantitative frequency security assessment of power system in estimating maximum penetration level of wind power |
| title | COI-based quantitative frequency security assessment of power system in estimating maximum penetration level of wind power |
| title_full | COI-based quantitative frequency security assessment of power system in estimating maximum penetration level of wind power |
| title_fullStr | COI-based quantitative frequency security assessment of power system in estimating maximum penetration level of wind power |
| title_full_unstemmed | COI-based quantitative frequency security assessment of power system in estimating maximum penetration level of wind power |
| title_short | COI-based quantitative frequency security assessment of power system in estimating maximum penetration level of wind power |
| title_sort | coi-based quantitative frequency security assessment of power system in estimating maximum penetration level of wind power |
| topic | Wind power - Research Wind power industry |
| url | http://psasir.upm.edu.my/id/eprint/70951/ http://psasir.upm.edu.my/id/eprint/70951/1/FK%202017%202%20-%20IR.pdf |