The Weibull probability distribution has been widely applied to characterize wind speeds for wind energy resources. Wind power generation modeling is different, however, due in particular to power curve limitations, wind turbine control methods, and transmission system operation requirements. These differences are even greater for aggregated wind power generation in power systems with high wind...

The proper modeling of wind energy projects in system studies is becoming increasingly important to system operators and transmission system owners. The amount of wind generation is growing rapidly and wind farms are growing in size and complexity. Wind farms are being installed consisting of hundreds of units, with the wind farm capable of producing hundreds of MW. The location of a wind farm ...

This paper employs a novel Monte-Carlo based generation portfolio assessment tool to explore the implications of increasing wind penetration and carbon prices within future electricity generation portfolios under considerable uncertainty. This tool combines optimal generation mix techniques with Monte Carlo simulation and portfolio analysis methods to determine expected overall generation costs...

In this paper, the performance analysis of wind turbine as a distributed generation unit is presented. In this study a model of wind power is driven by an induction machine. Wind power that is distributed generation is capable of supplying power to ac power distribution network. Wind power generation system is modeled and simulated using Matlab Simulink software such that it can be suitable for...

Abstract The power generation of wind energy conversion system (WECS) is varied with wind speed. Although wind power generation is not dispatch able, an accurate forecasting method of wind power generation for WECS can help the power system operator to reduce operating costs of power system. The artificial neural network is one of the best tools applied to forecast. This paper uses the back pro...

Integration of wind units into power system introduces various sources of technical and economical challenges to operate power system due to its inherent uncertainty and variability. In operation of power system, stochastic wind generation can affect the system security. In this paper, optimal Security-Constrained Unit Commitment (SCUC) in presence of Demand Response (DR) program based on stoch...

Energy power from renewable sources, especially wind turbine generators, are being considered as an important generation alternative in the electrical power systems around the world due to their non contaminant nature and low environmental effects. In particular, the power supplied by wind generators is widely random following the random nature of weather conditions; therefore a probabilistic a...

Integration of wind units into power system introduce various sources of technical and economical challenges to operation of power system due to its inherent uncertainty and variability. In operation of power system, stochastic wind generation can affect on the system security. In this paper, optimal security-constrained unit commitment (SCUC) in presence of demand response program (DR) based o...

We use Monte Carlo analysis to examine the potential of increased renewable generation to provide a hedge against variability in energy prices and costs. Fuel costs, electricity demand and wind generation are allowed to vary and a unit commitment and economic dispatch algorithm is employed to produce costminimising generation schedules under different levels of installed wind capacity. Increase...

Increasing the penetration of variable wind generation in power systems has created some new challenges in the power system operation. In such a situation, the inclusion of flexible resources which have the potential of facilitating wind power integration is necessary. Demand response (DR) programs and emerging utility-scale energy storages (ESs) are known as two powerful flexible tools that ca...