الفهرس | Only 14 pages are availabe for public view |
Abstract Due to ever increasing energy consumption and rising public awareness of environmental protection, alternative distributed generation (DG) systems have attracted increased interest. Renewable energy resources (RERs) such as wind and photovoltaic (PV) technologies that are time variant are planned for meeting variation of loads under operational and planning time horizon. In economic dispatch (ED) of electrical power generation, the committed generating units are scheduled to meet the load demand at minimum operating cost with satisfying all unit and system equality and inequality constraints. This thesis is proposing the concept of environmental/economic dispatch (EED) as a multiobjective problem with conflicting objectives. Weighted aggregation (W A) method is used to enable particle swarm optimization (PSO) to solve environmental/economic multiobjective problem. This thesis develops an optimized probabilistic formulation for the economic dispatch problem of power system considering three different kinds of generation units: wind-powered unit, Photovoltaic powered unit, and thermal unit. The proposed method applies Weibull probability distribution function as geographical characteristic of wind speed and probability density function of solar irradiance. The model takes into account penalty costs for not using all available power and reserve requirement costs due to the available power being less than scheduled power, for both wind and solar power. The costs include weighted cost depends on the stochastic nature of wind speed and solar irradiance. It can be concluded that the proposed SED model provides valuable information and suggestions for safe and reliable economic operation of power systems and hence, wind farms and PV modules can be integrated into power grid more effectively. |