scholarly journals Reliability and Adequacy Assessment of a Transmission Network in the Eastern Croatia

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Srete Nikolovski ◽  
Anto Tolić ◽  
Emir Alibašić
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Network Reliability ◽  
Software Tool ◽  
Simulation Method ◽  
Transmission System ◽  
Reliability Indicators ◽  
State Enumeration ◽  
Adequacy Assessment ◽  
Better Than

The paper analyzes network reliability and generator adequacy indicators using Monte Carlo simulation. The reliability indicators are analyzed for the eastern part of the Croatian transmission system and the influence of new combined cogeneration plants on the network reliability. All simulations were conducted with DIgSILENT PowerFactory software tool which uses two types of algorithms - state enumeration method and Monte Carlo simulation method. Firstly, two conditions of the transmission system were analyzed - the condition with the maximum and the condition with the minimum time varying load along with the comparison of the network reliability indicators. Then, new constructed combined-cogeneration plants connected at 400 kV busbars were compared to the combined-cogeneration plants of smaller size connected to the different point in the network at 110 kV busbars. Results were compared and analyses show that the option with three CCGT is better than option of one huge CCGT plant placed in Ernestinovo or Slavonski Brod.

scholarly journals Uncertainty Cost Functions in Climate-Dependent Controllable Loads in Commercial Environments

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2885
Author(s):  
Daniel Losada ◽  
Ameena Al-Sumaiti ◽  
Sergio Rivera
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Simulation Method ◽  
Electricity Sector ◽  
Cost Functions ◽  
Density Estimator ◽  
Monte Carlo Simulation Method ◽  
Commercial Building ◽  
Complementary Method ◽  
The Cost

This article presents the development, simulation and validation of the uncertainty cost functions for a commercial building with climate-dependent controllable loads, located in Florida, USA. For its development, statistical data on the energy consumption of the building in 2016 were used, along with the deployment of kernel density estimator to characterize its probabilistic behavior. For validation of the uncertainty cost functions, the Monte-Carlo simulation method was used to make comparisons between the analytical results and the results obtained by the method. The cost functions found differential errors of less than 1%, compared to the Monte-Carlo simulation method. With this, there is an analytical approach to the uncertainty costs of the building that can be used in the development of optimal energy dispatches, as well as a complementary method for the probabilistic characterization of the stochastic behavior of agents in the electricity sector.

نماذج المحاكاة- محاكاة مونتي كارلو- كأسلوب كمي من أساليب النمذجة واتخاذ القرارات - مقاربة نظرية وتطبيقية

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
محمد الأمين ◽  
بن حامد عبد الغني ◽  
مراس محمد
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Quantitative Methods ◽  
Practical Importance ◽  
Investment Project ◽  
Simulation Method ◽  
Period Analysis ◽  
Investment Projects ◽  
Monte Carlo Simulation Model

Our research aims to try to present the modeling mechanisms in the field of simulation and quantitative methods. The research is a presentation of the role of quantitative methods in making investment project evaluation decisions, more than that and is the use of the Monte Carlo simulation model in evaluation and multi-period analysis of investment projects under conditions Risk and uncertainty. And highlighting the theoretical, scientific and practical importance of the Monte Carlo simulation method in particular, and the importance of using quantitative methods in helping to make decisions in general

Software tool for advanced Monte Carlo simulation of electron scattering in EBL and SEM: CHARIOT

2003 ◽  
Author(s):  
Sergey V. Babin ◽  
S. Borisov ◽  
E. Cheremukhin ◽  
Eugene Grachev ◽  
V. Korol ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Electron Scattering ◽  
Software Tool
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