Wind program technological developments in the United States

Ancona, Daniel F.; Goldman, P.; Thresher, R. W.

doi:10.1016/0960-1481(96)00074-2

Cited by 4 publications

(1 citation statement)

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“…The technological development and the importance of using clean technologies has made the renewable energies more fascinating for Distribution Network Operators (DNOs) specifically because they are inexhaustible and nonpolluting. These technologies include hydro, wind [9], solar [10], biomass [11] and tidal. Among these renewable energies, wind technology has evolved very rapidly over the past decade and reduction of capital costs, improvement of reliability, and efficiency has made the wind power able to compete with conventional power generation [12].…”

Section: Introductionmentioning

confidence: 99%

A possibilistic–probabilistic tool for evaluating the impact of stochastic renewable and controllable power generation on energy losses in distribution networks—A case study

Soroudi

Ehsan

2011

Renewable and Sustainable Energy Reviews

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This paper proposes a hybrid possibilistic-probabilistic evaluation tool for analyzing the effect of uncertain power production of distributed generations (DG) on active losses of distribution networks. The considered DG technologies are Gas and wind turbines.This tool is useful for Distribution Network Operators (DNOs) when they are faced with uncertainties which some of them can be modeled probabilistically and some of them are described possibilistically. The generation pattern of DG units change the flow of lines and this will cause in change of active losses which DNO is responsible for compensating it. This pattern is highly dependent on DG technology and also decisions of DG operators which is an entity other than DNO. For wind turbines, this pattern is described using a weibull probability distribution function (PDF) for wind speed along with the power curve of the wind turbine but for other controllable DG technologies like gas turbines, it's not an easy job to provide a PDF to describe the generation schedule. On the other hand, the values of loads can not be always described using a PDF so the possibilistic (fuzzy) description can be helpful in such cases. In order to demonstrate the effectiveness of the proposed tool, it is applied to a realistic distribution system and the results are analyzed and discussed.

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Section: Introductionmentioning

confidence: 99%

A possibilistic–probabilistic tool for evaluating the impact of stochastic renewable and controllable power generation on energy losses in distribution networks—A case study

Soroudi

Ehsan

2011

Renewable and Sustainable Energy Reviews

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

Georgilakis

2008

Renewable and Sustainable Energy Reviews

344

127

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Abstract-Wind power is going through a very rapid development. It is the fastest growing power source in the world, the technology is being developed rapidly and wind power is supplying significant shares of the energy in large regions. The integration of wind power in the power system is now an issue in order to optimize the utilization of the resource and in order to continue the high rate of installation of wind generating capacity, which is necessary in order to achieve the goals of sustainability and security of supply. This paper presents the main technical challenges that are associated with the integration of wind power into power systems. These challenges include effects of wind power on the power system, the power system operating cost, power quality, power imbalances, power system dynamics, and impacts on transmission planning. In addition, the paper presents the technology and expectations of wind forecasting as well as cases where wind power curtailment could arise. Future research directions for a better understanding of the factors influencing the increased integration of wind power into power systems are also provided.Index Terms-Grid integration, power imbalances, power quality, power system dynamics, power system operating costs, power system operation, transmission planning, wind forecasting, wind power, wind power curtailment.

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