Stochastic generation of hourly mean wind speed data

Abstract:We study an independent grid where the penetration of wind energy is high and exploit the joint planning of energy storage and a renewable energy source, as it can potentially result in a more economical and efficient energy system. More specifically, we consider an energy system that consists of a gas-fired plant, and a small wind farm with a capacity for energy storage. We assume that the gas-fired plant has a maximum generation capacity that is no more than the electricity demand. We first propose an optimization model with known wind speed and electricity demand. Then we gradually extend this deterministic model to take into account the stochastic nature of the renewable energy source and electricity demand. Furthermore, we consider the possibility of connecting our system to the National Grid, which we import from or export to when our system has an energy shortage or surplus in meeting the demand. Our results provide helpful insights in planning the joint deployment of generation capacity and energy storage, and show that the system operates more efficiently and economically when it is connected to the National Grid.

show abstract

“…The upper and lower limit are highly subjective values [19]. In our study, we divide the wind speed data set into 35 states for Aberdeen.…”

Section: Wind Speedmentioning

confidence: 99%

Joint optimisation of generation and storage in the presence of wind

Liu

Giulietti²,

Chen

2016

IET Renewable Power Generation

View full text Add to dashboard Cite

show abstract

“…Two paramete Weibull probability distribution function of wind speed can be expressed mathematically as [20]:…”

Section: The Three Parameter Weibull Distribution Model Of Wind Powermentioning

confidence: 99%

Probabilistic model of Wind Power Ramp Events Based On Moving Ratio Analysis

Liu¹,

Wang²

2016

Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)

View full text Add to dashboard Cite

Abstract. Description of probability distribution characteristics of wind power ramp events is always a challenge in grid-connected wind power operation analysis. In this paper, a moving ratio based approach of wind power ramp events is introduced and an probability model is described for the wind ramp events. The proposed model is useful to estimate the relationship between power ramp events and the variability of the wind power. The proposed model is able to satisfactorily approximate the actual distribution of wind power ramp events . It is shown that the linear difference based ramp distribution can be calculated using the proposed moving ratio based approach. The proposed model can be an effective tool in planning for wind power ramp control.

show abstract

“…long-term (Billinton et al, 1996) or cross-correlations (Allerton, 2008)) are available, but this one should be sufficient for the purposes of this work. An overview of some more approaches can be found in (Aksoy et al, 2004). It is important to add that to get a realistic simulation of a specific site, records of historical data are needed to obtain the parameters of the model, as even the best model is useless if not accurately fitted.…”

Section: Stochastic Wind Speed Simulationmentioning

confidence: 99%

“…The parameters used in this work were chosen from an ARMA(3,2) approach, but the model was developed up to ARMA(4,3) and can be easily adapted to other orders. For example, a pure AR(2) model (Aksoy et al, 2004) which was also implemented before can be seen as a as an ARMA model with n = 2 and m = 0. The order of the model depends on the quantity of historical data available, since, if there is only a little data, an accurate model cannot be reached even with higher orders.…”

Section: The Slow Componentmentioning

confidence: 99%