| Author | Peerapol Jirapong |
| Call Number | AIT Diss. no.ET-08-01 |
| Subject(s) | Flexible AC transmission systems
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| Note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Engineering in Electric Power System Management, School of Environment, Resources and Development |
| Publisher | Asian Institute of Technology |
| Series Statement | Dissertation ; no. ET-08-01 |
| Abstract | With the advent of flexible AC transmission system (FACTS), FACTS devices are used to provide direct control of power flows over designated transmission routes and increase power transfer capability of transmission networks. The extent of these benefits depends upon where these devices are placed and how they are controlled in the systems. This dissertation proposes a new hybrid evolutionary algorithm (HEA) based on evolutionary programming (EP), tabu search (TS), and simulated annealing (SA) to determine the optimal placement of multi-type FACTS devices to simultaneously maximize the available transfer capability (ATe) and minimize system real power loss of power transactions between different control areas in deregulated power systems. The optimally placed optimal power flow (OPF) with FACTS devices is formulated as a mixed integer non-linear programming (MINLP) problem. A combined objective function including ATC and system real power loss is used to evaluate the feasible maximum A TC value and minimum power loss within real and reactive power generation limits, line thermal limits, voltage limits, voltage and angle stability limits, and FACTS devices steady-state operating limits. Four types of FACTS devices are included: thyristor-controlled series capacitor (TCSC), thyristor-controlled phase shifter (TCPS), unified power flow controller (UPFC), and static var compensator (SVC). The HEA approach simultaneously searches for types, locations, and parameters of FACTS devices, real power generations except slack bus in a source area, real power loads in a sink area, and generation bus voltages to solve the optimally placed OPF with FACTS problem. Test results on five test systems indicate that optimally placed OPF with FACTS by the HEA approach could enhance ATC far more than those from EP, TS, hybrid TS/SA, and improved EP (lEP) algorithms, leading to much efficient utilization of the existing transmission systems |
| Year | 2008 |
| Corresponding Series Added Entry | Asian Institute of Technology. Dissertation ; no. ET-08-01 |
| 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) | Weerakorn Ongsakul; |
| Examination Committee(s) | Mithulananthan, Nadarajah ;Voratas Kachitvichyanukul; |
| Scholarship Donor(s) | Royal Thai Government ;HRD II; |
| Degree | Thesis (Ph.D.) - Asian Institute of Technology, 2008 |