Applying advanced methods to power system planning studies

Mr Guang Ya Yang (2008). Applying advanced methods to power system planning studies PhD Thesis, School of Information Technol and Elec Engineering, The University of Queensland.

       
Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
n41044360_PhD_abstract.pdf Final Thesis Lodgement - thesis abstract application/pdf 180.52KB 171
n41044360_PhD_totalthesis.pdf Final Thesis Lodgement - thesis full text application/pdf 1.66MB 225
Author Mr Guang Ya Yang
Thesis Title Applying advanced methods to power system planning studies
School, Centre or Institute School of Information Technol and Elec Engineering
Institution The University of Queensland
Publication date 2008-10
Thesis type PhD Thesis
Supervisor Dr. Zhao Yang Dong
Prof. David J. Hill
Total pages 166
Total colour pages 18
Total black and white pages 148
Subjects 290000 Engineering and Technology
Formatted abstract Power system planning is a vast and important issue for operation and expansion of power
delivery. One of the basic objectives of planning is to determine the right schedule for investment
in new devices which ensures secure and economic power delivery for predicted
customer demand. Canonical planning issues include generation and transmission planning.
In addition, system planning also needs to address the question of reliable and stable operation.
Hence, reliability and stability analysis are also included in planning studies.
Nowadays power industries worldwide have been undergoing profound changes with
deregulation and reconstruction. The separation of generation plants from traditional vertically–
integrated utilities results in a situation in which transmission systems have no direct role in
deciding generation patterns, both short–term and long–term. This challenge requires that
transmission systems must be able to react to the increasing capacities and diverse patterns
of generation and load. However, since investment in new transmission links is always restricted
by both political and ecological issues, current transmission systems are becoming
stressed and operating close to physical limits.
Flexible AC transmission systems (FACTS) are developed based on power electronic configurations.
So far, most currently used FACTS devices are using thyristor–based technology
to achieve fast and continuous control of voltage and current. Plenty studies have proven
that FACTS devices can be employed for better utilisation of current system assets. Therefore,
given the difficulties of adding new transmission corridors, FACTS devices can present
an alternative for system planning.
The main objective of this topic is to apply advanced methods to provide a solution for
planning issues. Two tasks are included in this topic. One is incorporating FACTS devices
into power systems for improvement in network loadability, stability and economy. TCSC
is selected as the objective device for its premium power flow controllability. Two sets of
advanced methods, mixed–integer programming (MIP) and evolutionary algorithms (EAs)are investigated and discussed in TCSC allocation problem. The former algorithm is an efficient
combinatorial optimisation algorithm, which is suitable for large scale planning issues.
The latter is a recent member of evolutionary algorithm, differential evolution (DE), which
is characterised by its speed and precision as well as robustness. The planning objective
includes transmission and economic considerations, which involves the power loss minimisation,
reactive power regulation, voltage profile enhancement, as well as the investment
minimisation. By exploiting these methods, the number, locations and parameter settings
of TCSC can be selected optimally.
In addition, detailed power system planning analysis extends to investigation into reliability
and stability. In this project, DE and MIP are also applied to system reliability and
stability issues. Two issues are involved here, cascading failure analysis and power system
stabiliser (PSS) tuning. The former utilises MIP to form a probabilistic–based cascading
model followed by further analysis and the latter exploits DE for global PSS parameters
tuning. This is an important consideration in the planning topic.
Keyword power system planning, FACTS devices, thyristor–controlled series compensation, global optimisation,
Additional Notes pages in color: 28, 29, 71, 72, 75, 79, 81, 89, 93, 110, 111, 112, 113, 114, 120, 122, 137, 138

 
Citation counts: Google Scholar Search Google Scholar
Access Statistics: 801 Abstract Views, 396 File Downloads  -  Detailed Statistics
Created: Thu, 13 Nov 2008, 16:35:28 EST by Mr Guang Ya Yang on behalf of Library - Information Access Service