Optimal generation scheduling of cascaded hydro-thermal and wind power generation by particle swarm optimization | |
| Author | Thakur, Seema |
| Call Number | AIT Thesis no.ET-10-08 |
| Subject(s) | Wind power--Economic aspects Hydrothermal electic power systems--Economic aspects |
| Note | A thesis submitted in partial fulfilment of the requirements for the degree of Master of Engineering in Electric Power System Management |
| Publisher | Asian Institute of Technology |
| Abstract | The load should be economically dispatched throughout the time horizon making use of the renewable resources to its maximum and minimizing the generation from fuel consuming thermal power plants. The inflow of water in the reservoirs and wind velocity is not constant and are generally varying throughout the day. Various hydraulic and thermal constraints have to be considered while dispatching the load among these different generating units. The generation scheduling is a complex optimization problem due to its non-linear and non-convex characteristics. The research is an attempt to schedule a cascaded hydrothermal system considering wind generation in the system. Here, the objective is to generate optimum power from wind and hydro power plants to dispatch load so that the contribution of thermal power plants (to dispatch the load) will be minimum which will result optimized generation cost for load dispatch considering all the hydraulic, wind and thermal constraints. A new approach based on Particle Swarm Optimization (PSO) has been developed to identify the generation level of different plants. Here the analysis of the scheduling with different approaches of PSO is proposed. The algorithm for scheduling is coded in Matlab and tested with test systems, having one hydro and one thermal unit [3] and a hydrothermal system with cascaded reservoirs [2] with wind generation from [9]. The results indicate that the proposed hydrothermal scheduling (with/without wind generation) approach based on SPSO-TV AC gives the lowest total operating cost compared with other approaches of PSO and existing optimization techniques. Moreover, the total cost can be further reduced considering wind in the system. The proposed approach is useful to those utilities consisting of hydro, thermal and wind generating units for economic dispatch. |
| 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) | Maparung, Charles O. P.;Singh, Jai Govind; |
| Scholarship Donor(s) | Ministry of Foreign Affairs, Norway; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2010 |