Considering Load-Carrying Capability and Wind Speed Correlation of WECS in Generation Adequacy Assessment

Wangdee, Wijarn; Billinton, R.

doi:10.1109/tec.2006.875475

Cited by 194 publications

(132 citation statements)

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“…In [8], the MCS is used to combine the correlated load demands and wind power generations by using the multivariate distribution to choose random variables. The authors in [9] proposed a stochastic programming approach for reactive power scheduling of a microgrid considering the uncertainty of wind power.…”

Section: B Literature Reviewmentioning

confidence: 99%

Active distribution networks planning with integration of demand response

Mokryani

2015

Solar Energy

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-This paper proposes a probabilistic method for active distribution networks planning with integration of demand response.Uncertainties related to solar irradiance, load demand and future load growth are modelled by probability density functions. The method simultaneously minimizes the total operational cost and total energy losses of the lines from the point of view of distribution network operators with integration of demand response over the planning horizon considering active management schemes including coordinated voltage control and adaptive power factor control. Monte Carlo simulation method is employed to use the generated probability density functions and the weighting factor method is used to solve the multi-objective optimization problem. The effectiveness of the proposed method is demonstrated with 16-bus UK generic distribution system. Index Terms -

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Section: B Literature Reviewmentioning

confidence: 99%

Active distribution networks planning with integration of demand response

Mokryani

2015

Solar Energy

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“…Risk indices are then calculated using the simulated system states over a long horizon of simulation time. Simulation techniques were used in [6][7][8] for the reliability evaluation of WIPS.…”

Section: Introductionmentioning

confidence: 99%

“…Correlation has a big impact on the fluctuations and should therefore be an important consideration in reliability modeling and evaluations. Some papers have incorporated the effect of correlations between multiple wind farms in reliability studies [4][5][6][7][8][9]. An auto-regressive time series based mathematical model for wind speeds of correlated wind farms was introduced in [9].…”

Section: Introductionmentioning

confidence: 99%

“…An auto-regressive time series based mathematical model for wind speeds of correlated wind farms was introduced in [9]. Reference [6] used auto regressive and moving average (ARMA) model to generate wind speeds of correlated wind farms by using correlated random number seeds and studied the impact of correlations on the adequacy indices of a WIPS using sequential Monte Carlo Simulation (MCS). The results showed that correlation has considerable impact in adequacy indices of a WIPS.…”

Section: Introductionmentioning

confidence: 99%

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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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“…An alternative to Fourier analysis is time series analysis. Time series are quite popular in stochastic models since they are well suited to prediction and their parameters and their properties can be easily estimated (Wangdee & Billinton, 2006). Even though the two mathematical techniques are quite related, the study of periodic behaviour is more direct through Fourier approach whereas the time series approach is more appropriate for the study of non-systematic behaviour.…”

Section: Introductionmentioning

confidence: 99%