Loss of power supply probability of stand-alone photovoltaic systems: a closed form solution approach

Abouzahr, I.; Ramakumar, R.

doi:10.1109/60.73783

Cited by 138 publications

(35 citation statements)

References 12 publications

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“…This information is used for evaluating the energy production model based on the capacity factor. Designed a system for computing production cost associated with hybrid PV battery method in which the size associated with PV method is calculated on such basis as electrical requirements not attained (Abouzahr & Ramakumar, 1991). For standalone hybrid PV system, analysis of reliability is determined in the term of loss of load (LOL) probability.…”

Section: Hybrid Photovoltaic Systemmentioning

confidence: 99%

PV-wind hybrid system: A review with case study

2016

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Renewable energy systems are likely to become widespread in the future due to adverse environmental impacts and escalation in energy costs linked with the exercise of established energy sources. Solar and wind energy resources are alternative to each other which will have the actual potential to satisfy the load dilemma to some degree. However, such solutions any time researched independently are not entirely trustworthy because of their effect of unstable nature. In this context, autonomous photovoltaic and wind hybrid energy systems have been found to be more economically viable alternative to fulfill the energy demands of numerous isolated consumers worldwide. The aim of this paper is to give the idea of the hybrid system configuration, modeling, renewable energy sources, criteria for hybrid system optimization and control strategies, and software used for optimal sizing. A case study of comparative various standalone hybrid combinations for remote area Barwani, India also discussed and found PV-Wind-Battery-DG hybrid system is the most optimal solution regarding cost and emission among all various hybrid system combinations. This paper also features some of the near future improvements, which actually has the possibility to improve the actual monetary attraction connected with this sort of techniques and their endorsement by the consumer.The key research area of authors is optimal sizing of renewable energy system. This paper information is very helpful for pre-analysis of hybrid renewable energy system design. This work analyzed the different combinations of hybrid renewable energy source model and compared each other on the basis of emission, fuel consumption, cost, and component used in the system. This study gives the hybrid system consisting of PV/Wind/Battery/Generator which is a feasible solution. The total net present cost, cost of energy, operating cost, and emission are very less for the presented hybrid renewable energy combination compared to the other. This paper addresses the issues related to the feasibility of the system, combination of renewable source and cost function for preanalysis of any hybrid practical system and wider projects.

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Section: Hybrid Photovoltaic Systemmentioning

confidence: 99%

PV-wind hybrid system: A review with case study

2016

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“…where l is the illumination intensity in W/m 2 , l max is the maximum value in W/m 2 , and α and β are the shape parameters of beta distribution. The shape parameters are described by the mean and variance of illumination intensity 25 :…”

Section: Output Power Uncertainty Of Photovoltaic Generatormentioning

confidence: 99%

Probability assessment for power system voltage stability margin with renewable energy source using slice sampling

Zhang

Wang²,

Wang

et al. 2017

Int Trans Electr Energ Syst

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Summary With the prevalence of renewable energy source in power system, it is necessary to appraise the voltage stability of the integration system by probabilistic methods. The traditional Markov Chain Monte Carlo (MCMC) simulation could show great calculation precision for the probabilistic assessment, but it is always involved with complicated sampling iterations because of the Gibbs sampling method currently used in MCMC simulation. Instead of Gibbs sampling method, this paper presents the application of slice sampling in MCMC simulation for the voltage stability probabilistic assessment of the power system with renewable source. Firstly, the probabilistic models of renewable source generation are constructed. Then, the sample space of renewable source outputs is obtained by slice sampling, and the samples from the sample space are calculated by power flow. Finally, the voltage stability margin is obtained by the result of the power flow calculation, and the probabilistic assessment of the voltage stability is implemented. Furthermore, the MCMC simulations using Gibbs sampling and slice sampling are compared by Gelman‐Rubin diagnostic and Kullback‐Leibler divergence tests on IEEE 14‐bus system and IEEE 39‐bus system, respectively. The results show that the slice sampling method is simpler and more efficient than Gibbs sampling method in the voltage stability probabilistic assessment.

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“…LPSP is a probability technique introduced by AbouZahr and Ramakumar in 1990 the field of wind and photovoltaic generation systems [16,17]. The probability of energy loss (loss of power supply probability) is widely used in the design and optimization of autonomous systems (stand-alone) wind-photovoltaic [18,19,20].…”

Section: Description Of the Lpsp Methodsmentioning

confidence: 99%