Wind Farm Power Generation Research Articles

Technical and Economic Assessment of Wind Farm Power Generation at Adrar in Southern Algeria

A potential and economic analysis of a 10 MW wind farm at Adrar in the southern region of Algeria is realized for various WT types. Adrar has a good wind potential: and the most adapted wind turbine is the Vestas V90/2MW with a annual energy output equal to 40902 MWh. According to the studied machine, the capacity factor varies from 36% for Nordex N80/2500 and 47% for Vestas V90/2MW with respectively a cost per kWh of electricity generated of 0.0525 $/kWh and 0.0408$/kWh. According to our results, the wind resource appears to be suitable for power production in the site of Adrar, which makes it a viable substitute to diesel oil for electricity generation.

Effect of Mean Wind Speed Variations on Power Generation of Wind Farm

Through two methods, wind speed data sets sequence, the elements of which increased in Mean Wind Speed (MWS) orderly, are introduced first, and a numerical integration method depending on Weibull fitting result and power curve data to calculate Power Generation (PG) is proposed in this paper. Then, with measured data of 3 wind farms, PG with different heights are calculated and contrastive studies are made, employing the proposed data sets processing and PG calculating methods. Research results indicate that the PG calculating method has high reliability, and Equivalent Available Duration (EAD) increases about 50-60h when MWS increased by 0.1m/s. The results provide important basis for studies on the relationship of PG variation and measured data correction methods.

Study on Wind Speed Prediction Based on Rbf Neural Network

This paper analyzes the importance of the wind farm wind speed prediction, as well as the different forecasting methods in various fields. And established the RBF neural network forecasting model can forecast one hour ahead of the wind farm wind speed, and the results meet the actual forecast requirements. By reconstructing the wind speed time series, wind speed can be predicted one day in advance, the prediction accuracy and one hour ahead of forecast accuracy is similar. The method can predict a longer period of time the wind speed, and provide important reference for the wind farm power generation scheduling.

A Prediction Model for Wind Farm Power Generation based on Genetic-neural Network

A Prediction Model for Wind Farm Power Generation based on Genetic-neural Network

A Dynamic Prediction Model for Wind Farm Power Generation Based on RBF Neural Network

As a renewable energy, wind power is considered to be an important non-exhaustible energy in the times of energy crisis. Therefore, in electric power system, wind turbine generators have become important generation alternatives. As wind power penetration increases, power forecasting is crucially important for integrating wind power into a conventional power grid. A short-term wind farm power output dynamic prediction model is presented using RBF neural network with error discriminant function. Based on the wind data from a wind farm in Inner Mongolia of China, a power forecasting map is illustrated, and the errors of the model are analyzed to present the differences between dynamic model and conventional prediction model.

Studies on the location and power generation of wind farms

Studies on the location and power generation of wind farms

A prediction model for wind farm power generation based on fuzzy modeling

As a renewable energy source, wind turbine generators are considered to be important generation alternatives in electric power systems because of their non-exhaustible nature. As wind power penetration increases, power forecasting is crucially important for integrating wind power in a conventional power grid. A short-term wind farm power output prediction model is presented using fuzzy modeling derived from raw data of wind farm. Using wind data from a wind farm in Inner Mongolia of China, an interpretable model which reveal a useful qualitative description of the prediction system is developed, and a power forecasting map is illustrated. The comparative study of model prediction with different periods is conducted.

Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation

A new methodology, the Unrestricted Wind Farm Layout Optimization (UWFLO), that addresses critical aspects of optimal wind farm planning is presented in this paper. This methodology simultaneously determines the optimum farm layout and the appropriate selection of turbines (in terms of their rotor diameters) that maximizes the net power generation. The farm layout model obviates traditional restrictions imposed on the location of turbines. A standard analytical wake model has been used to account for the velocity deficits in the wakes created by individual turbines. The wind farm power generation model is validated against data from a wind tunnel experiment on a scaled down wind farm. Reasonable agreement between the model and experimental results is obtained. The complex nonlinear optimization problem presented by the wind farm model is effectively solved using constrained Particle Swarm Optimization (PSO). It is found that an optimal combination of wind turbines with differing rotor diameters can appreciably improve the farm efficiency. A preliminary wind farm cost analysis is performed to express the cost in terms of the turbine rotor diameters and the number of turbines in the farm. Subsequent exploration of the influences of (i) the number of turbines, and (ii) the farm land size, on the cost per Kilowatt of power produced, yields important observations.

Subsynchronous resonance in single-cage self-excited-induction-generator-based wind farm connected to series-compensated lines

Integration of large wind farms may get constrained owing to the available transfer capacity of existing transmission networks. This transmission capacity may be enhanced by incorporating series compensation. However, series capacitors are known to cause subsynchronous resonance (SSR) oscillations in synchronous generators. In this study, the potential of SSR is investigated with series-compensated lines connected to wind farms based on single-cage self-excited induction generators. A small-signal mathematical model is developed for the prediction of SSR oscillations in such a wind farm for a study system similar to the IEEE First SSR benchmark system. Eigenvalue analysis is performed through MATLAB at various operating points. This is validated by detailed time-domain simulation through electromagnetic transient simulation software EMTDC/PSCAD for a three-phase-to-ground (LLLG) fault at the remote end of the compensated line. An equivalent circuit analysis is performed to examine the impact of a similar fault at the terminals of the wind farm. It is shown from detailed non-linear simulation that even at a realistic level of series compensation a three-phase fault at generator terminals for low levels of wind farm power generation may subject the generator shafts to potentially dangerous magnitudes.

Adequacy evaluation of wind power generation systems

This paper attempts to assess the adequacy of wind power generation systems using the data collected from seven wind farms in Muppandal, Tamilnadu (India) with a total capacity of 37 MW. A Monte Carlo model simulation is incorporated in the algorithm to obtain the hourly power output of wind farms, which also takes into account the unavailability of wind turbines. A typical load demand profile is used to examine the chronological hourly wind power generation for each month. The reliability index of LOLE (loss of load expectation) is used to estimate the reliable contribution of wind farm power generation.

Development of Reliability Model for Wind Farm Power Generation

The objective of the present paper is to estimate the electric power distribution of a wind farm using the output power distribution and the probability of simultaneously running of wi ...

An economic assessment of windfarm power generation in Scotland including externalities

This paper uses cost–benefit analysis to assess the economic feasibility of a large scale windfarm project, taking into account positive and negative externalities of generation. The issue of non-use value (i.e. a welfare change among those who will never visit the area and see the windfarm) is addressed with reference to the study by Bergmann et al. [2006. Valuing the attributes of renewable energy investments. Energy Policy 34, 1004–1014], which determined a social cost of £19.40 per household for the non-use disamenity associated with a large scale windfarm in Scotland. This paper demonstrates the extent to which this estimate affects the economic feasibility of the project. We find that for all but one of the 16 scenarios considered, the project returns a positive net present value despite the inclusion of this non-use value, thus suggesting that in these cases the windfarm delivers a net welfare gain to society.

Limiting CO 2 emissions in the power sector of India : Supply curves for wind and small hydro

The potential and the costs of windfarm and small hydro power generation as a means of offsetting CO2 emissions in India is discussed. Both the absolute and the incremental supply cost curves for CO2 offset are constructed. Of the two options, the use of wind electric generators in windfarms offers much higher potential for energy paths to reduce CO2 emissions but the estimated costs are substantially higher than the costs of small hydel. Unlike windfarm power generation, some identified small hydro sites offer possibilities of a net negative incremental cost of offsetting CO2 emissions. The incremental costs range from US$-120 to US$50 per tonne of carbon equivalent for small hydro and US$6 to US$470 per tonne for windfarms.

Economics of Wind-Farm Power Generation in India

Abstract The financial aspects of wind power generation in India are examined. The cost estimate scaling function for horizontal axis wind turbines (HAWT) is empirically obtained. Other cost components have also been examined and effort is made to generate a cost function for wind farms with grid connected HAWT wind energy conversion systems. The cost function is then used to compute the cost of wind generated electricity from the wind farms in India and the results are compared with the reported cost of generation from the wind farms. The potential of wind-farm power generation is briefly discussed in the light of the cost of power generation by selected conventional technologies in India.