Optimal placement of facts controllers and distributed generation for maximization of the system loadability | |
| Author | Wartana, I Made |
| Call Number | AIT Diss. no.ET-12-01 |
| Subject(s) | Distributed generation of electric power Optimal control |
| Note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Engineering in Energy, School of Environment, Resources and Development |
| Publisher | Asian Institute of Technology |
| Series Statement | Dissertation ; no. ET-12-01 |
| Abstract | This dissertation has proposed several single and a multi - objectives optimization approaches to enhance the power system loadability by optimal location of Flexible AC Transmission System (FACTS) controllers and Distributed Generation (DG) in power networks along with getting their optimum settings and sizing. Different types of FACTS controllers included: Thyristor - Controlled Series Capacitor (TCSC), Static VAr Comp ensator (SVC), and Unified Power Fow Controller (UPFC) and one type of DG namely variable speed Wind Turbine with DFIG ( Doubly Fed Induction Generator) have been considered in this study. The FACTS controllers and the DG are utilized to obtain direct control of power flows over transmission lines and maximize the capacity of the transmission lines . The maximal benefits of these devices depend upon where they are placed , how much their capacity and size, and how they are controlled in the power system . Based on evolutionary programming , two potent evolutionary algorithms namely Particle Swarm Optimization (PSO) and a new variant of Genetic Algorithm, particular in multi - objective optimizations problem recognized as Non - dominated Sorting Genetic Algorithm II (NSGA - II) have been utilized to optimally allocate the different type of the FACTS controllers and the DG. Moreover, three combined objectives viz., maximization of power system loadability, minimization of the FACTS installation costs, and system active power loss have been considered along with satisfying other operational equalities and inequalities constraints. In addition, the location and control settings of the FACTS controllers and the sizing of the DG have also been obtained. Apart from above multi - objective functions, simultaneously some additional operational constraints, i.e., system stability and security margin e.g., small signal stability, Fast Voltage Stability Index (FVSI) , and Line Stability Factor (LQP) have also been considered to make the approach close to practical scenario. Therefore, static as well as dynamic model of the FACTS controllers have been utilized, in this dissertation , to satisfy the small signal stability and system security condition at optimal solution of the above objectives. The proposed methodology has been investigated effectively on the standard IEEE 14 - bus, 30 - bus, and a practical Indonesian Java - Bali 24 - bus system s and the obtained results are compared with the method suggested in the literatures . The results on the three test systems indicate that optimally placed the FACTS controllers and the DG by the PSO and NSGA - II techniques could enhance system loadability far more than those from previous reported works |
| Year | 2012 |
| Corresponding Series Added Entry | Asian Institute of Technology. Dissertation ; no. ET-12-01 |
| Type | Dissertation |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC)) |
| Academic Program/FoS | Energy Technology (ET) |
| Chairperson(s) | Singh, Jai Govind ;Weerakorn Ongsakul (Co-Chairperson); |
| Examination Committee(s) | Marpaung, Charles O. P. ;Poompat Saengudomlert; |
| Scholarship Donor(s) | Directorate General of Higher Education (DIKTI) ;The Ministry of National Education of Republic of Indonesia; |
| Degree | Thesis (Ph. D.) - Asian Institute of Technology, 2012 |