A simplified approach for load flow analysis in MV smart grids based on LV power measurements

Author(s):  
Antonio Cataliotti ◽  
Valentina Cosentino ◽  
Salvatore Nuccio ◽  
Dario Di Cara ◽  
Nicola Panzavecchia ◽  
...  
Author(s):  
Antonio Cataliotti ◽  
Valentina Cosentino ◽  
Salvatore Guaiana ◽  
Salvatore Nuccio ◽  
Dario Di Cara ◽  
...  

Author(s):  
Osman Hasan ◽  
Awais Mahmood ◽  
Syed Rafay Hasan

Load flow analysis is widely used to estimate the flow of various electrical parameters such as the voltage, current, and power in power grids. These estimates allow us to effectively and reliably manage the given grid under random and uncertain conditions. Given the enormous amount of randomness and uncertainties in the factors that affect the smart grids, compared to traditional power grids, a complete and rigorous load flow analysis holds a vital role in ensuring the reliability of this safety-critical domain. In this chapter, the authors describe smart grids in terms of their basic components and then categorize the factors that affect the loads in smart grids. This is followed by a comprehensive survey of various existing load flow analysis techniques (i.e., numerical, computational intelligence, and probabilistic).


2016 ◽  
Vol 7 (2) ◽  
pp. 889-896 ◽  
Author(s):  
Antonio Cataliotti ◽  
Valentina Cosentino ◽  
Dario Di Cara ◽  
Pierluca Russotto ◽  
Enrico Telaretti ◽  
...  

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3173 ◽  
Author(s):  
Giovanni Artale ◽  
Giuseppe Caravello ◽  
Antonio Cataliotti ◽  
Valentina Cosentino ◽  
Dario Di Cara ◽  
...  

This paper proposes a virtual tool for load flow analysis in energy distribution systems of micro-grids. The solution is based on a low-cost measurement architecture, which entails low-voltage power measurements in each secondary substation and a voltage measurement at the beginning of the medium voltage (MV) feeder. The proposed virtual tool periodically queries these instruments to acquire the measurements. Then, it implements a backward–forward load flow algorithm, to evaluate the power flow in each branch and the voltage at each node. The virtual tool performances are validated using power measurements acquired at the beginning of each MV feeder. The uncertainties on each calculated quantity are also evaluated starting from the uncertainties due to the used measurement instruments. Moreover, the influence of the line parameter uncertainties on the evaluated quantities is also considered. The validated tool is useful for the online analysis of power flows and also for planning purposes, as it allows verifying the influence of future distributed generator power injection. In fact, the tool is able to off-line perform the load flow calculation in differently distributed generation scenarios. The micro-grid of Favignana Island was used as a case study to test the developed virtual tool.


2016 ◽  
Vol 65 (5) ◽  
pp. 999-1006 ◽  
Author(s):  
Antonio Cataliotti ◽  
Valentina Cosentino ◽  
Dario Di Cara ◽  
Giovanni Tine

Author(s):  
Osman Hasan ◽  
Awais Mahmood ◽  
Syed Rafay Hasan

Load flow analysis is widely used to estimate the flow of various electrical parameters, such as the voltage, current and power, in power grids. These estimates allow us to effectively and reliably manage the given grid under random and uncertain conditions. Given the enormous amount of randomness and uncertainties in the factors that affect the smart grids, compared to traditional power grids, a complete and rigorous load flow analysis holds a vital role in ensuring the reliability of this safety-critical domain. In this chapter, we describe smart grids in terms of their basic components and then categorize the factors that affect the loads in smart grids. This is followed by a comprehensive survey of various existing load flow analysis techniques, i.e., numerical, computational intelligence and probabilistic.


Author(s):  
Eric Barros ◽  
Maycon Peixoto ◽  
Dionisio Leite ◽  
Bruno Batista ◽  
Bruno Kuehne

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