Technical challenges associated with the integration of wind power into power systems

Georgilakis, Pavlos S.

doi:10.1016/j.rser.2006.10.007

Cited by 343 publications

(134 citation statements)

References 16 publications

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“…In order to reach the goal of 20% wind power penetration, wind power installations would need to increase to more than 16,000 MW per year by 2018 and continue at that rate until 2030 [USDOE, 2008]. At such a high level of market penetration, wind farms must be integrated with the grid [Georgilakis, 2008]. To accomplish this task, wind farms must guarantee a fixed amount of electricity generation over different time scales [Smith et al, 2004].…”

Section: Introductionmentioning

confidence: 99%

A Short-Term Ensemble Wind Speed Forecasting System for Wind Power Applications

Traiteur¹,

Callicutt²,

Smith³

et al. 2012

Journal of Applied Meteorology and Climatology

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Accurate short-term wind speed forecasts for utility-scale wind farms will be crucial for the U.S. Department of Energy's (DOE) goal of providing 20% of total power from wind by 2030. For typical pitch-controlled wind turbines, power output varies as the cube of wind speed over a significant portion of the power output curve. Therefore, small improvements in windspeed forecasts would constitute much larger improvements in wind power forecasts. In addition, communicating the level of uncertainty in these wind speed forecasts will allow the industry to better quantify the level of financial risk inherent with these forecasts. In this study, a computationally efficient and accurate forecasting system is developed. This system uses a 21-member ensemble of the Weather Research and Forecasting Single-Column Model (WRF-SCM V3.1.1) to generate a probability distribution function (PDF) of 1-hour forecasts at a 90m height location in West/Central Illinois. The WRF-SCM ensemble was initialized by the 20 km Rapid update Cycle (RUC) 00h forecast and perturbed by both perturbations in the initial conditions and physics options. The PDF was calibrated using Bayesian Model Averaging (BMA) where the individual forecasts were weighted according to their performance. This combination of a mesoscale numerical weather prediction ensemble system and Bayesian statistics allowed for both accurate prediction of 1-hour wind speed forecasts and their level of uncertainty.iii

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Section: Introductionmentioning

confidence: 99%

A Short-Term Ensemble Wind Speed Forecasting System for Wind Power Applications

Traiteur¹,

Callicutt²,

Smith³

et al. 2012

Journal of Applied Meteorology and Climatology

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“…The common element of study is to find the cost of ancillary services necessary to accommodate a wind plant on a utility system. There are typically three time scales of interest, which correspond to the operation of the utility system and the structure of the competitive electricity markets [7]: 1. Unit-commitment (UC) horizon of 1 day to 1 week with 1 h time increments, 2.…”

Section: Impacts Of Wind Penetration On Power System Dispatch and Itsmentioning

confidence: 99%

“…Now not only did planning become a difficult exercise, because the existence and location of new power plants became uncertain and dependent on the decision of third parties but also the operation was confronted with new degrees of uncertainty, not only as a result of private operators but also as a function of wind unpredictability. The requirements of power system with wind power, along with technical and economic challenges posed by it for reliable and economical operation and its solutions were proposed [7], [8], [9]. It's always advisable to operate wind power with any other generation mix to cater to its uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Development of a Cost Effective Power Generation System: An Overview

Bihari

Kumari

Sehgal

et al. 2016

IJEEI

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“…Thence, the peak regulation capability of the power grid is abated by the CHP units' inflexible response during the heating season [4,5]. Massive wind power curtailment occurs and slows the worldwide effort to increase sustainable energy development [6]. Thus, an efficient method for mitigating wind power curtailment is urgently needed [7,8].…”

Section: Introductionmentioning

confidence: 99%

Optimum Subsidy to Promote Electric Boiler Investment to Accommodate Wind Power

Wang

Liu

et al. 2017

Sustainability

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Abstract:The increasing development of combined heat and power (CHP) plants is exacerbating the wind power curtailment problem in regional power grids during the winter heating season. Electric boilers (EBs) were proposed to be employed within CHP plants to relieve this problem. However, CHP plants usually have no incentive for investing in EBs. Therefore, CHP plants must be incentivized to make such investments through appropriate compensation from beneficiaries, i.e., government and wind farms, although this has not previously been discussed. We propose a game theory model to simulate the impact of government subsidies on EB investment. We analyzed the utilization of the involved parties with the marginal cost and average cost and applied game theory to simulate the investment decisions. Then, an approximate enumeration technique was developed to identify the optimum government subsidy. An actual case of a regional power grid in northern China was investigated to validate the proposed method. A minimum government subsidy to maximize total social benefit was calculated; this subsidy can incentivize wind farms and CHP plants to invest in and use EBs.

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Technical challenges associated with the integration of wind power into power systems

Cited by 343 publications

References 16 publications

A Short-Term Ensemble Wind Speed Forecasting System for Wind Power Applications

A Short-Term Ensemble Wind Speed Forecasting System for Wind Power Applications

Development of a Cost Effective Power Generation System: An Overview

Optimum Subsidy to Promote Electric Boiler Investment to Accommodate Wind Power

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