Macromodel of Spatial Smoothing in Wind Farms

Li, Pei; Banakar, H.; Keung, Ping-Kwan; Far, H.G.; Ooi, Boon-Teck

doi:10.1109/tec.2006.889605

Cited by 50 publications

(25 citation statements)

References 6 publications

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“…Besides, the aggregated photovoltaic power stations [15] , and the reason is that the geographical characteristics have a great influence in the correlation of dispersed PV power station output [16] . So it is more than likely that BESS needs less size comparing with the sum of distributed ones in the regular ways.…”

Section: Improved Capacity Planning Methodsmentioning

confidence: 99%

An Improved Capacity Planning Method for Energy Storage in Photovoltaic Power Station

Fu¹,

Yang²,

Zhang³

et al. 2016

dteees

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Abstract. Comparing with the single PV power station, the regional PV power stations can smooth fluctuation better, and battery Energy Storage Station (BESS) plays an important role for smooth photovoltaic power fluctuation, which makes it possible for regional PV power station clusters to integrate with BESS. In this paper, the operation modes of BESS have been analyzed, and the operation of participation in fluctuation smoothing is discussed. The cost optimization model is set up aiming to minimize the operating cost based on charging and discharging strategy to determine the optimal BESS capacity. The simulation analysis based on actual PV power station power data verifies the validity and reasonability of the proposed capacity planning method.

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Section: Improved Capacity Planning Methodsmentioning

confidence: 99%

An Improved Capacity Planning Method for Energy Storage in Photovoltaic Power Station

Fu¹,

Yang²,

Zhang³

et al. 2016

dteees

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“…It is assumed that no wind turbine falls in the wake of another wind turbine and that each wind turbine experiences the same wind profile, but with some time delays. These delays are associated with the time needed for the wind to transverse the distance between the different wind turbines of the farm [11]. The time delays are simulated by taking a random sample of 600 s of the wind speed profile in Fig.…”

Section: Wind Farm With Constant Power Controlmentioning

confidence: 99%

Optimization of constant power control of wind turbines to provide power reserves

Vyver

Kooning

Meersman

et al. 2013

2013 48th International Universities' Power Engineering Conference (UPEC)

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Abstract-In several countries, the wind power penetration increased tremendously in the last years. As the current wind turbines do not participate in frequency control nor reserve provision, this may compromise the proper functioning of the primary control and the provision of power reserves. If no actions are taken, increasing levels of wind penetration may result in serious problems concerning the stable operation of the power system. This paper focuses on the provision of power reserves by wind turbines. For this service, the constant power control strategy is chosen as control strategy, as it gives a constant power output and has the ability to provide power reserves. In this way, the wind turbine behaves more like a conventional power plant. The choice of the power reference value is crucial as it determines whether or not a stable operation of the wind turbine is possible and power reserves can be provided. In this paper, an algorithm is proposed to obtain the range of possible reference values. By means of simulations, the optimal reference value to provide power reserves with a single wind turbine is obtained. Also, reserve provision in a wind farm is investigated. It is shown that the provision of power reserves with wind turbines using the constant power strategy is possible, especially in wind farms.

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“…The applied delay times are inversely related to the average wind speed, which results in sufficiently low correlation between the time series [28]. The wind farm models aggregate a limited number of wind turbines to match the nominal power of the wind farm.…”

Section: Wind Farm Modelmentioning

confidence: 99%

Operation and Power Flow Control of Multi-Terminal DC Networks for Grid Integration of Offshore Wind Farms Using Genetic Algorithms

et al. 2012

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For achieving the European renewable electricity targets, a significant contribution is foreseen to come from offshore wind energy. Considering the large scale of the future planned offshore wind farms and the increasing distances to shore, grid integration through a transnational DC network is desirable for several reasons. This article investigates a nine-node DC grid connecting three northern European countries-namely UK, The Netherlands and Germany. The power-flow control inside the multi-terminal DC grid based on voltage-source converters is achieved through a novel method, called distributed voltage control (DVC). In this method, an optimal power flow (OPF) is solved in order to minimize the transmission losses in the network. The main contribution of the paper is the utilization of a genetic algorithm (GA) to solve the OPF problem while maintaining an N-1 security constraint. After describing main DC network component models, several case studies illustrate the dynamic behavior of the proposed control method.

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Macromodel of Spatial Smoothing in Wind Farms

Cited by 50 publications

References 6 publications

An Improved Capacity Planning Method for Energy Storage in Photovoltaic Power Station

An Improved Capacity Planning Method for Energy Storage in Photovoltaic Power Station

Optimization of constant power control of wind turbines to provide power reserves

Operation and Power Flow Control of Multi-Terminal DC Networks for Grid Integration of Offshore Wind Farms Using Genetic Algorithms

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