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...

This paper provides an efficient control technique for the operation of a direct-drive synchronous generatorbased stand-alone variable-speed wind energy conversion system. The control strategy for the generator-side converter with maximum power extraction is presented. This control provides a constant output voltage and frequency which capable of delivering to variable loads. The main attention...

The productivity of electricity increases with the necessity, which in turns pollutes the environment. There are certain methods to produce electricity in Eco-friendly manner. Wind turbine is one such application which is 100% pollution free, renewable and produces a lot of energy. In general wind turbines have two operating principles namely fixed speed and variable speed. In this paper we hav...

Wind power systems have strong nonlinear characteristic, when wind speed is below the rated value. A novel intelligent hybrid maximum power point tracking (MPPT) controller for variable-speed wind power systems is designed, linear parameter-varying (LPV) gain-scheduling controller is designed to regulate output of fast-dynamics generator torque, neural network compensator is used to eliminate t...

This paper investigates the integration of Superconducting Magnetic Energy Storage (SMES) System into the standalone Permanent Magnet Synchronous Generator (PMSG) based on Variable Speed Wind turbine (VSWT) in DC Microgrid system. The primary aim of SMES system is to retain power balance by drawing power during high wind generation and to extricate it during low power generation. An effective c...

The paper presents an intelligent wind turbine control system based on models integrating the following three approaches: data mining, model predictive control, and evolutionary computation. To enhance the control strategy of the intelligent system, a multi-objective model is proposed. The model involves five different objectives with different weights controlling the wind turbine performance. ...

In the present research a new viral systems optimization algorithm is developed to find the optimal number and position of wind turbines in large wind farms with the main objective of minimizing the cost per unit power produced from the wind park. The developed algorithm is applied to three well known problems in literature which are: 1) constant wind speed and unidirectional uniform wind, 2) c...

ISSN 2250 – 1088 | © 2011 Bonfring Abstract--This paper describes active power control in a grid connected variable speed wind electric generation system (WEG) using squirrel cage induction machine. The chosen variable speed WEG system consists of a wind turbine, squirrel-cage induction generator, an AC-DC-AC interface and the power grid. In this work the generator side converter is controlled ...

Digital Object Identifi er 10.1109/MPE.2011.942353 Date of publication: 21 October 2011 THE MODERN ELECTRIC POWER SYSTEM constitutes a fascinating challenge in delivering reliable and inexpensive power using uncertain components in an increasingly complex world. While the components of the power system have always been uncertain and variable to some degree, the addition of wind and solar energy...