Enhancement of Matching Turbine Generators With Wind Regime Using Capacity Factor Curves Strategy

Huang, Shyh-Jier; Wan, Hsing-Ho

doi:10.1109/tec.2009.2016153

Cited by 22 publications

(5 citation statements)

References 7 publications

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“…The BESS has two roles, the first being to maintain the CF of the HPP within a certain predefined value, which should be decided in the planning stage of the HPP using the available meteorological data and the technical specifications of the installed power sources. In this study, the target capacity factor (CF o ) is assumed to be 35%, which is an average value for many WFs according to the literature [19]. The CF is calculated continuously using (1), according to the fluctuations of wind and solar irradiation; hence, the generated power by the WF and PVF:…”

Section: Bess Rolesmentioning

confidence: 99%

Operation and Control of a Hybrid Power Plant with the Capability of Grid Services Provision

Attya

Vickers

2021

Energies

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The integration of distributed power plants that rely on renewable energy sources (RESs) is a major challenge for system operators (SOs) due to the variable nature of the input energy (e.g., wind and solar irradiation) to these power sources. A key solution to such a challenge is to coordinate and combine the power generation of these sources such that their behavior is closer to a conventional and dispatchable power station, taking into account the limitations imposed by the battery storage system (BESS), so it is seen as a hybrid power plant (HPP) from the SOs’ viewpoint. This paper develops a model of HPP that encompasses two generation technologies, wind and photovoltaic farms, which are assisted by a BESS. The paper proposes a comprehensive control method that can smooth the HPP output with minimized energy rejection whilst enabling the HPP to provide synthetic inertia and primary frequency response, which are grid-code compliant. The proposed control method is validated through various scenarios, which are implemented on a detailed electromechanical test system modeled in MATLAB/Simulink. The results show and quantify the achieved improvement on stabilizing the HPP capacity factor under variable wind speed. The HPP also enhances the system response to frequency events.

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Section: Bess Rolesmentioning

confidence: 99%

Operation and Control of a Hybrid Power Plant with the Capability of Grid Services Provision

Attya

Vickers

2021

Energies

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“…Different empirical power models are generated by setting n to 1, 2, 3, or k (the Weibull shape factor) to form the linear, quadratic, cubic, and general power models, respectively [37,38]. The power model can be conclusively expressed, as shown in Figure 1, based on [39,40]…”

Section: Power Modelsmentioning

confidence: 99%

Offshore Wind Potential of West Central Taiwan: A Case Study

Hsu

Yeh

2021

Energies

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In this study, we present the wind distributions from a long-term offshore met mast and a novel approach based on the measure–correlate–predict (MCP) method from short-term onshore-wind-turbine data. The annual energy production (AEP) and capacity factors (CFs) of one onshore and four offshore wind-turbine generators (WTG) available on the market are evaluated on the basis of wind-distribution analysis from both the real met mast and the MCP method. Here, we also consider the power loss from a 4-month light detection and ranging (LiDAR) power-curve test on an onshore turbine to enhance the accuracy of further AEP and CF evaluations. The achieved Weibull distributions could efficiently represent the probability distribution of wind-speed variation, mean wind speed (MWS), and both the scale and shape parameters of Weibull distribution in Taiwan sites. The power-loss effect is also considered when calculating the AEPs and CFs of different WTGs. Successful offshore wind development requires (1) quick, accurate, and economical harnessing of a wind resource and (2) selection of the most suitable and efficient turbine for a specific offshore site.

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“…Therefore, the best way to characterize the wind speed at a specific location is to perform "in-situ" measurements, which should last several years. However, in certain studies, the use of known probability density functions (PDFs) [6][7][8][9] is useful or unavoidable, for example, in commercial software packages that specialize in wind energy resources [10], national wind energy resource atlases [11,12], international standards [13], simulations of WTG behaviors [14,15], development of site-matching approaches [16,17], etc.…”

Section: Open Accessmentioning

confidence: 99%

“…The impact of Weibull parameters, k and c, on the energy production can be analyzed using Equation (16). With this purpose, a set of wind power density E w and power density E curves are shown in Figure 3, which were calculated using different scale and shape parameters (c and k).…”

Section: Weibull Parameters and Energymentioning

confidence: 99%

An Approach to Determine the Weibull Parameters for Wind Energy Analysis: The Case of Galicia (Spain)

et al. 2014

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Abstract:The Weibull probability density function (PDF) has mostly been used to fit wind speed distributions for wind energy applications. The goodness of fit of the results depends on the estimation method that was used and the wind type of the analyzed area. In this paper, a study on a particular area (Galicia) was performed to test the performance of several fitting methods. The goodness of fit was evaluated by well-known indicators that use the wind speed or the available wind power density. However, energy production must be a critical parameter in wind energy applications. Hence, a fitting method that accounts for the power density distribution is proposed. To highlight the usefulness of this method, indicators that use energy production values are also presented.

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Enhancement of Matching Turbine Generators With Wind Regime Using Capacity Factor Curves Strategy

Cited by 22 publications

References 7 publications

Operation and Control of a Hybrid Power Plant with the Capability of Grid Services Provision

Operation and Control of a Hybrid Power Plant with the Capability of Grid Services Provision

Offshore Wind Potential of West Central Taiwan: A Case Study

An Approach to Determine the Weibull Parameters for Wind Energy Analysis: The Case of Galicia (Spain)

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