Abstract: High penetration of wind energy into the network may introduce stability and power quality problems due to the fluctuating nature of the wind and the increasing complexity of the power system. This paper describes a novel approach to voltage and power control of a radial electrical distribution network, using a wind farm. The wind farm consists of seven 75 kW induction generators (DFI...

This paper presents generic model of hybrid power system consisting in a combined solution one wind turbine with asynchronous generator and on hydro generator with synchronous machine. This technology was developed by to reduce the cost of supplying electricity in remote communities. The optimal wind penetration (installed wind capacity/peak electrical demand) for this system depends on the sit...

With the increase of renewable generating capacity following the ambitious targets set by many governments for the next decades, there will be major changes in power generation and challenges for balancing transmission grids. In particular, primary frequency control requirements will be increased following a potential reduction of system inertia. An assessment of the frequency response reserve ...

7 The increasing penetration of uncertain generation such as wind and solar in power systems imposes new challenges to the Unit Commitment (UC) problem, one of the most critical tasks in power systems operations. The two most common approaches to address these challenges — stochastic and robust optimization — have drawbacks that restrict their application to real-world systems. This paper demon...

Combining an energy storage system (ESS) with a wind farm is an effective way to increase the penetration rate of wind power. ESS sizing is an important part in wind farm planning nowadays. In this paper, a basic method for determining the optimal capacity of an ESS integrated with a wind power generator to meet the requirements of grid integration is presented. With the proposed method, the ne...

The massive penetration of wind generators in electrical power systems asks for effective wind power forecasting tools, which should be high reliable, in order to mitigate the effects of the uncertain generation profiles, and fast enough to enhance power system operation. To address these two conflicting objectives, this paper advocates the role of knowledge discovery from big-data, by proposin...