Air quality and greenhouse gas sampling from mobile platforms enables local to regional analyses of pollutant exposure, atmospheric chemistry, emission sources. Simultaneous meteorological observations, particularly wind speed direction, are often used interpret measurements construct fluxes. However, the arising a moving platform contributes observed this artifact requires adequate removal bes...

Wind power is becoming a significant source of electricity in many countries. However, the inherent uncertainty of wind generators does not allow them to participate in the forward electricity markets. In this paper, we foster a tighter integration of wind power into electricity markets by using a multi-agent coalition formation approach to form virtual power plants of wind generators and elect...

—In this paper, we present a modeling and simulation framework for conducting the adequacy assessment of a wind-integrated power system accounting for the associated uncertainties. A multi-perceptron artificial neural network (NN) is trained by a non-dominated sorting genetic algorithm–II (NSGA-II) to forecast point-values and prediction intervals (PIs) of the wind power and load. The output of...

Variable speed wind turbines are designed to follow wind speed variations in low winds in order to maximize aerodynamic efficiency. Unfortunately, uncertainty in the aerodynamic parameters may lead to sub-optimal power capture in variable speed turbines. Adaptive generator torque control is one method of eliminating this suboptimality; however, before adaptive control can become widely used in ...

Wind power is becoming a significant source of electricity in many countries. However, the inherent uncertainty of wind generators does not allow them to participate in the forward electricity markets. In this paper, we foster a tighter integration of wind power into electricity markets by using a multi-agent coalition formation approach to form virtual power plants of wind generators and elect...

Utilization of wind turbines as economic and green production units, poses new challenges to the power system planners, mainly due to the stochastic nature of the wind, adding a new source of uncertainty to the power system. Different types of distribution and correlation between this random variable and the system load makes conventional method inappropriate for modeling such a correlation. In...

The integration of renewable wind and pumped storage with thermal power generation allows for dispatch of wind energy by generation companies (GENCOs) interested in participation in energy and ancillary services markets. However, to realize the maximum economic profit, optimal coordination and accounting for reduction in cost for environmental emission is necessary. The goal of this study is to...

We address the problem of modeling long-term energy policy and investment decisions while retaining the important ability to capture fine-grained variations in intermittent energy and demand, as well as storage. In addition, we wish to capture sources of uncertainty such as future energy policies, climate, and technological advances, in addition to the variability as well as uncertainty in wind...

The stochasticity of the electrical power output by wind turbines poses special challenges to power system operation and planning. Increasing penetration levels of wind and other weather-driven renewable resources exacerbate the uncertainty and variability that must be managed. This chapter focuses on the probabilistic modeling and statistical characteristics of aggregated wind power in large e...