Optimal power flow with TCSC using parallel improved evolutionary programming | |
| Author | Kritsana Tangpatiphan |
| Call Number | AIT Thesis no.ET-04-05 |
| Subject(s) | Parallel programming (Computer science) Mathematical optimization Electric power transmission--Simulation methods |
| Note | A thesis submitted in pa1tial fulfillment of the requirements for the degree of Master of Engineering, School of Environment, Resources and Development |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. ET-04-05 |
| Abstract | The emergence of versatile Flexible AC Transmission System (FACTS) Devices such as Thyristor Controlled Series Compensator (TCSC) in power system contributes a myriad of benefits in power system operation and control as well as planning, especially in transmission system. The effective and suitable controlling of TCSC parameters can determine the power flow in lines and also decrease the generator fuel cost due to the reduction in power generation as well as power loss. Since the optimal power flow (OPF) with TCSC is sophisticated optimization problem and has more than one local optimum, the deterministic or simple optimization methods such as Linear Programming (LP), etc. are powerless to locate the global optimum of the problem. Therefore, in this thesis, the parallel Improved Evolutionary Programming (IEP) algorithm, which is implemented on optima Beowulf cluster consisting of nine processors with fast ethemet switch network, is proposed to minimize the generator fuel cost in OPF with TCSC on the standard 30-bus IEEE test system. The problem is decomposed into the optimal setting of FACTS parameters subproblem, which is searched by the parallel IEP algorithm and the OPF with fixed FACTS parameters subproblem, which is solved by the evolutionary programming (EP) algorithm. Near optimal placement of TCSC on the test system is guided by loss sensitivity index. The simulation results on the standard 30-bus IEEE test system indicate that the generator fuel cost is reduced when the TCSC is added into the system and the proposed IEP approach that is implemented on multiple processors can provide better solution and require less computational time than EP approach. In addition, when the proposed approach is tested on the modified IEEE 57 bus system, the efficiency of parallel algorithm is improved. |
| Year | 2004 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ET-04-05 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Energy Technology (ET) |
| Chairperson(s) | Weerakorn Ongsakul |
| Examination Committee(s) | Surapong Chirarattananon; Mithulananthan, Nadarajah |
| Scholarship Donor(s) | H. M. Queen of Thailand |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2004 |