الفهرس 
chapter 1Only 14 pages are availabe for public view
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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.