Multistate Wind Energy Conversion System Models for Adequacy Assessment of Generating Systems Incorporating Wind Energy

Billinton, R.; Gao, Yi

doi:10.1109/tec.2006.882415

Cited by 266 publications

(201 citation statements)

References 15 publications

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“…The effect of the FOR of the WTGs in a wind farm can be considered in the evaluation of the power output model of the wind farm. It has however been shown in [13] that the FOR of a WTG can be neglected during reliability evaluation of WECS without losing reasonable accuracy. The effect of FOR has therefore been neglected in this study to simplify the wind model.…”

Section: Wind Power Modelingmentioning

confidence: 99%

An Appropriate Wind Model for Wind Integrated Power Systems Reliability Evaluation Considering Wind Speed Correlations

2013

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Adverse environmental impacts of carbon emissions are causing increasing concerns to the general public throughout the world. Electric energy generation from conventional energy sources is considered to be a major contributor to these harmful emissions. High emphasis is therefore being given to green alternatives of energy, such as wind and solar. Wind energy is being perceived as a promising alternative. This source of energy technology and its applications have undergone significant research and development over the past decade. As a result, many modern power systems include a significant portion of power generation from wind energy sources. The impact of wind generation on the overall system performance increases substantially as wind penetration in power systems continues to increase to relatively high levels. It becomes increasingly important to accurately model the wind behavior, the interaction with other wind sources and conventional sources, and incorporate the characteristics of the energy demand in order to carry out a realistic evaluation of system reliability. Power systems with high wind penetrations are often connected to multiple wind farms at different geographic locations. Wind speed correlations between the different wind farms largely affect the total wind power generation characteristics of such systems, and therefore should be an important parameter in the wind modeling process. This paper evaluates the effect of the correlation between multiple wind farms on the adequacy indices of wind-integrated systems. The paper also proposes a simple and appropriate probabilistic analytical model that incorporates wind correlations, and can be used for adequacy evaluation of multiple windintegrated systems. OPEN ACCESSAppl. Sci. 2013, 3 108

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Section: Wind Power Modelingmentioning

confidence: 99%

An Appropriate Wind Model for Wind Integrated Power Systems Reliability Evaluation Considering Wind Speed Correlations

2013

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“…Four to six states can reflect the characteristics of wind speed and load [19], so we can choose four-state models for wind farms in each sub-period by an apportioning method. Multi-state models of wind power output are only shown in sub-periods 4 to 8, and 16 to 20 of the pattern 2 in Summer in Table 3 due to space limitations.…”

Section: Clustering Of Wind Power and Ugf Modelmentioning

confidence: 99%

Probabilistic production simulation of a power system with wind power penetration based on improved UGF techniques

Wang

Liu

Wang

2013

J. Mod. Power Syst. Clean Energy

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Universal Generating Function (UGF) techniques have been applied to Multi-State System (MSS) reliability analysis, such as long term reserve expansion of power systems with high wind power penetration. However, using simple steady-state distribution models for wind power and large generating units in reliability assessment can yield pessimistic appraisals. To more accurately assess the power system reliability, UGF techniques are extended to dynamic probabilistic simulation analysis on two aspects of modelling improvement. Firstly, a principal component analysis (PCA) combined with a hierarchal clustering algorithm is used to achieve the salient and time-varying patterns of wind power, then a sequential UGF equivalent model of wind power output is established by an apportioning method. Secondly, other than the traditional two-state models, the conventional generator UGF equivalent model is established as a four discrete-state continuous-time Markov model by Lztransform. In the construction process of such a UGF model, the state values are transformed into the integral multiples of one common factor by choosing proper common factors, thus effectively restraining the exponential growth of its state number and alleviating the explosion thereof. The method is suitable for reliability assessment with dynamic probabilistic distributed random variables. In addition, by acquiring the clustering information of wind power, the system reliability indices, such as fuel cost and CO 2 emissions through different seasons and on different workdays, are calculated. Finally, the effectiveness of the method is verified by a modified IEEE-RTS 79 system integrated with several wind farms of historical hourly wind power data of Zhangbei wind farm in North China.

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“…However, these renewable generators have brought new challenges to power systems. Main difficulties of these units are due to uncertainty and fluctuation in their output power, which can affect operation and reliability of electricity networks [1]. Therefore, it is necessary to investigate the impact of wind resources and their contribution to reliability of power grid.…”

Section: Introductionmentioning

confidence: 99%

“…Multistate generator [1], negative load [2], clustered model [3] and probabilistic model [4] are some of these methods. In this work, a time dependent clustering technique [5] is applied to model wind power.…”

Section: Introductionmentioning

confidence: 99%

The impact of interconnections on reliability contribution of wind farms

Mosadeghy

Yan

2015

2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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Abstract-This paper studies reliability benefits of wind energy in two different systems in Australia: New South Wales and Victoria. Reliability assessment has been conducted in generation system level and a time dependent clustering method is applied to model wind power. This technique not only can capture time dependent attributes of wind energy, but also is capable of keeping the correlations between wind power and demand. Furthermore, different scenarios have been studied to investigate the impact of interconnectors on the reliability benefit of wind farms. Results show that the impact of exchanged power through tie lines can be dissimilar for different systems and is mainly related to the direction of the flowing power.Index Terms-Generation adequacy, Monte Carlo method, reliability assessment, load carrying capability, wind power.

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Multistate Wind Energy Conversion System Models for Adequacy Assessment of Generating Systems Incorporating Wind Energy

Cited by 266 publications

References 15 publications

An Appropriate Wind Model for Wind Integrated Power Systems Reliability Evaluation Considering Wind Speed Correlations

An Appropriate Wind Model for Wind Integrated Power Systems Reliability Evaluation Considering Wind Speed Correlations

Probabilistic production simulation of a power system with wind power penetration based on improved UGF techniques

The impact of interconnections on reliability contribution of wind farms

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