الفهرس 
Literature ReviewOnly 14 pages are availabe for public view
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Abstract
Short-term Hydrothermal Generation Scheduling (STHS) is considered an important problem in the field of power system economics. The solution of this problem gives the hourly output of power generation schedule of the available hydro and thermal power generating units, which leads to minimization of the total fuel cost of thermal units for a given period of a time. Due to increasing concern over atmospheric pollution, harmful emission produced by thermal units, and also decreasing fossil resources. The world is shifting its focus towards renewable energy resources. Renewable energy resources, such as wind and solar energy have great importance in the world. These sources generate power for load demand at low cost without producing any harmful emissions, so they are friendly to the environment. Therefore, the integration between the STHS problem and renewable energy has great importance in the power system operation. The optimal power generation of STHS problem with integration renewable energy is considered as a complicated and non-linear optimization problem with a set of equality and inequality constraints such as valve-point loading effect of thermal units, power transmission loss, and system power balance. In this thesis, the STHS problem with integration renewable energy is solved by using efficient optimization method. This thesis proposes Lightning Attachment Procedure Optimization (LAPO) method for solving non-linear non-convex STHS optimization problem in order to minimize the total operating fuel cost of thermal units while satisfying the operating constraints of the system. The performance of LAPO optimization method is validated using two different test systems considering the valve point loading effects of thermal units and the power transmission losses. Also, The STHS problem with integration renewable energy is solved by using LAPO method. The proposed method is applied to five test systems with different characteristics considering the valve point loading effect of thermal power plants. The first and third test system includes only hydro and thermal power plants, and the rest of systems consists of hydro and thermal plants with integrating wind and solar generating units to inspect the effect of renewable energy sources in the selected test systems. The simulation results are compared with recently proposed methods. It is found that the proposed method is superior and it has the ability for obtaining the best solutions with respect to other optimization methods that are implemented to solve the STHS problem with integration renewable energy.