Stochastic programming constitutes a useful tool to address investment problems. This technique represents uncertain input data using a set of scenarios, which should accurately describe the involved uncertainty. In this paper, we propose two alternative methodologies to efficiently generate electric load and wind-power production scenarios, which are used as input data for investment problems....

From the past literature survey, it is witnessed that there is remarkable growth in the Wind power capacity in the recent years. The advancement of converters used in wind power technologies led to maximum extraction of wind energy. In this paper, a comparison of Single Boost converter (SBC) with Interleaved Boost Converter (IBC) used in small-scale wind turbine systems. It utilizes the AC-DC-A...

The paper presents an electromechanical auto synchronized wind energy conversion system (WECS) for larger penetration of renewable energy sources (RES) in the rural electrification systems. The architecture of the WECS uses two stator windings at power frequency which provides harvesting of power to flow from WECS to load and to grid side when the generated power is in access. Asymmetrical six ...

Abstract:The aim of this paper is analyzing the operation of stand-alone wind turbine system with variable speed permanent magnet synchronous generator (PMSG) and a system for storing energy during wind speed and load variations and supply the single phase energy for domestic appliances. The power absorbed by the connected loads can be effectively delivered and supplied by the proposed wind tur...

Approximations made in day-ahead markets can result in suboptimal or even infeasible schedules for generating units and inaccurate predictions of actual costs and wind curtailment. Here we compare different optimal models of day-ahead markets based on unit commitment (UC) formulations, especially energyvs. power-based UC; excluding or including startup and shutdown trajectories; and determinist...

This paper examines the storage application and its optimal placement for the social cost and transmission congestion relief of wind integration. Probability density functions (PDFs) are used to characterize the uncertainties of wind speed and load. A probabilistic optimal power flow (POPF) is developed using two-point estimation which incorporates the storage system either as a variable load o...

We attempt to compute the dynamic wind loads on tall buildings in close proximity with large-eddy simulation. Computation is attempted on two building geometries on which strong interference effects have been reported in previous wind tunnel studies. The computation uses a commercial code and a simple model of turbulence characteristics of the incident wind flow. The computed along-wind and acr...

Small-scale hybrid stand-alone power systems are becoming popular alternatives in remote and island areas where grid connection is not economically or technically viable. Harnessing the abundant supply of wind and solar energy can play an important role in ensuring an environmentally friendly and clean energy generation for remote and isolated communities. However, renewable energy sources are ...

In this paper wind and solar based stand-alone hybrid energy system is presented for the remote area power system applications. The wind, solar, battery, fuel cell and dump load (i.e., aqua-electrolyzer) are connected to the common dc bus. An ac load is connected to dc bus through a pulse width modulation (PWM) based inverter. Ac voltage at load bus can be maintained at rated value by regulatin...

Renewable Energy Sources (RES) are nowadays growing rapidly at the distribution level and it employs power electronic converters to ensure reliable operation to the customers. Among the RES, wind energy is now firmly established technology for electricity generation. This paper proposes a conventional PI controller and Artificial Neural Network (ANN) controller to GSC of PMSG, which can obtain ...