A Probability Model of PV for the Middle-term to Long-term Power System Analysis and Its Application

Lv, Yaotang; Guan, Lin; Tang, Zhenmin; Zhao, Qi

doi:10.1016/j.egypro.2016.11.244

Cited by 22 publications

(17 citation statements)

References 10 publications

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“…where α and β are the shape parameters of the distribution, and x is the uncertain parameter scaled to the interval [0,1]. For solar radiation, typical parameter values are α = 4 and β = 2 [192].…”

Section: Probability Distribution Functions (Pdf)mentioning

confidence: 99%

Optimization Models under Uncertainty in Distributed Generation Systems: A Review

et al. 2022

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Distributed generation systems (DGSs) are one of the key developments enabling the energy transition. DGSs provide users with increased control over their energy use and generation, but entail greater complexity in their design and operation. Traditionally, optimization models have been used to overcome this complexity, and currently, research is focusing on integrating uncertainties on them. This review attempts to analyze, classify and discuss 170 articles dealing with optimization of DGSs under uncertainty. A survey has been performed to identify the selected manuscripts and the strengths and weaknesses of previous reviews. As a result, an innovative classification has been designed and the distinct elements of optimization models in DGSs have been highlighted: microgrid architecture, sources of uncertainty, uncertainty addressing methods, problem types and formulations, objective functions, optimization algorithms and additional features. Each part is detailed thoroughly to provide an instructive overview of the research output in the area. Subsequently, several aspects of interest are discussed in depth: the future of dealing with uncertainty, the main contributions and trends, and the relative importance of the field. It is expected that this review will be of use to both experts and lay people to learn more about the current state of optimization models in DGSs and provide insights into how to further develop this field.

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Section: Probability Distribution Functions (Pdf)mentioning

confidence: 99%

Optimization Models under Uncertainty in Distributed Generation Systems: A Review

et al. 2022

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“…Despite the fact that the Weibull distribution can generate better results with time series-based data sets in the case of wind speed stochastic modelling it has not been used to model the stochastic nature of PV production [9]. The Beta probability model is used in reference [10] to characterize the variability of solar irradiances around their hourly mean values. For varied weather situations such as sunny and cloudy conditions, the beta distribution model was chosen to predict the solar irradiance level.…”

Section: Energy Not Supplied Indexmentioning

confidence: 99%

Reliability Evaluation of Active Distribution Systems with Distributed Generations

Alaskar

Alkuhayli

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Reliability evaluation is essential in designing, planning, operating modern power systems. System operators must operate the network securely and efficiently with minimal interruption events. With the recent advances in power electronics and control, distributed generations (DG) such as photovoltaic (PV), wind turbine, and storage systems are expected to grow in distribution networks. This high level of distributed generations penetration in the grid can increase the complexity of operating the system. This is caused by intermittent nature of solar irradiance and wind speed. This paper proposes a methodology used to assess distribution networks containing stochastic resources such as photovoltaic. This method will use the Monte Carlo simulation with a stochastic model to evaluate the distribution network’s reliability. The system and load point reliability indices such as frequency of loss of load and expected energy not to supplied will be computed in this technique. In addition, the configuration of distribution networks to improve system’s reliability to facilitate system restoration after pre-fault conditions will be assessed.

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“…The balance between the generation and dispatch is maintained using ( 21) and (22). The power output of renewable energy sources is maintained within its capacity using (28)…”

Section: B Constraintsmentioning

confidence: 99%

Novel AI Based Energy Management System for Smart Grid With RES Integration

Kumar¹,

Alaraj

Rizwan

et al. 2021

IEEE Access

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A Probability Model of PV for the Middle-term to Long-term Power System Analysis and Its Application

Cited by 22 publications

References 10 publications

Optimization Models under Uncertainty in Distributed Generation Systems: A Review

Optimization Models under Uncertainty in Distributed Generation Systems: A Review

Reliability Evaluation of Active Distribution Systems with Distributed Generations

Novel AI Based Energy Management System for Smart Grid With RES Integration

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