The inherent variability and randomness of large-scale wind power integration have brought great challenges to power flow control and dispatch. The distributed power flow controller (DPFC) has the higher flexibility and capacity in power flow control in the system with wind generation. This paper proposes a multi-time scale coordinated scheduling model with DPFC to minimize wind power spillage....

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....

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...

Wind power point forecasting is the primary method to deal with its uncertainty. However, in many applications, the probabilistic interval of wind power is more useful than traditional point forecasting. Methods to determine the probabilistic interval of wind power point forecasting value is very essential to power system operations. Based on the bootstrap method, this paper proposed a wavelet ...

the use of renewable energy in power generation and sudden changes in load and fault in power transmission lines  may cause a voltage drop in the system and challenge the reliability of the system. one way to compensate the changing nature of renewable energies in the short term without the need to disconnect loads or turn on other plants, is the use of renewable energy storage. the use of ener...

Flexibility in plug-in electric vehicle (PEV) charging can reduce the ancillary cost effects of wind variability and uncertainty on electric power systems. In this paper, we study these benefits of PEV charging, demonstrating that controlled PEV charging can reduce costs associated with wind uncertainty and variability. Interestingly, we show that the system does not require complete control of...

This paper discusses how wind power uncertainty affects power system adequacy from an operational point of view. A method is presented to produce wind power generation simulated data to feed a Monte Carlo scheme. The Monte Carlo scheme randomly selects forced outage patterns for each conventional generator and wind power simulated patterns in order to evaluate how system adequacy metrics, such ...

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...

This paper presents a stochastic mixed-integer linear programming approach for solving the self-scheduling problem of a price-taker thermal and wind power producer taking part in a pool-based electricity market. Uncertainty on electricity price and wind power is considered through a set of scenarios. Numerical results from a case study are presented to illustrate the performance of the proposed...

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...