Saddle node bifurcation and voltage stability analysis by particle swarm optimization | |
| Author | Gurusinghe, Dinesh Rangana |
| Call Number | AIT Thesis no.ET-10-15 |
| Subject(s) | Electric power systems Voltage regulators Electric power system stability |
| Note | A thesis submitted in partial fulfilment of the requirements for the degree of Master of Engineering in Energy |
| Publisher | Asian Institute of Technology |
| Abstract | In electric power systems, Saddle Node Bifurcation (SNB) is the voltage stability margin at which voltage collapse takes place. It plays an important role in power system planning and operation as economic and environmental pressures force to operate always closer to the limit of stability. Voltage collapse is associated with the reactive power demands not being met because of limitations in the generation and transmission of reactive power. An efficient approach to determine the SNB point greatly assists planning and operation of power system, but most of existing methods such as Multiple Power Flow (MPF) and Continuation Power Flow (CPF), are engaged with several power flow computations and they do not provide the Optimal Operating Condition (OOC), which is the maximum SNB point of a system without exceeding the active and reactive power limits of generators. The study introduces a new optimization approach by Particle Swarm Optimization (PSO), which directly calculates the SNB point without successive power flow computations and furnishes the OOC as well. The proposed approach has been tested with a 6-bus test system and 182-bus power system of Sri Lanka as well as it assessed for diverse applications of voltage stability analysis by concerning about single element outage or (N-1) criterion and the role of voltage compensation devices. Further, the output of the proposed approach is evaluated with well-established CPF method and the optimality is verified by eigenvalue analysis. Results of the test system as well as the real system from the proposed approach are excellent in terms of accuracy, technical feasibility and optimality. |
| Year | 2010 |
| Type | Thesis |
| 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) | Marpuang,Charles O. P.;Singh, Jai Govind; |
| Scholarship Donor(s) | Thailand (HM Queen); |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2010 |