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Probabilistic optimal power flow in correlated hybrid wind-PV power systems: A review and a new approach
, Article Renewable and Sustainable Energy Reviews ; Vol. 41 , 2014 , pp. 1437-1446 ; ISSN: 13640321 ; Rashidinejad, M ; Firuz-Abad, M. F ; Sharif University of Technology
Abstract
Hastening the power industry reregulation juxtaposed with the unprecedented utilization of uncertain renewable energies (REs), faces power system operation with sever uncertainties. Consequently, uncertainty assessment of system performance is an obligation. This paper reviews the probabilistic techniques used for probabilistic optimal power flow (P-OPF) studies and proposes a novel and powerful approach using the unscented transformation (UT) method. The heart of the proposed method lies in how to produce the sampling points. Appropriate sampling points are chosen to perform the P-OPF with a high degree of accuracy and less computational burden compared with features of other existing...
Probabilistic optimal power flow in correlated hybrid wind-photovoltaic power systems
, Article IEEE Transactions on Smart Grid ; Vol. 5, issue. 1 , 2014 , p. 130-138 ; ISSN: 19493053 ; Fotuhi-Firuzabad, M ; Rashidinejad, M ; Sharif University of Technology
Abstract
As a matter of course, the unprecedented ascending penetration of distributed energy resources (DERs), mainly harvesting renewable energies (REs), is concomitant with environmentally friendly concerns. This type of energy resources are innately uncertain and bring about more uncertainties in the power system, consequently, necessitates probabilistic analyses of the system performance. Moreover, the uncertain parameters may have a considerable level of correlation to each other, in addition to their uncertainties. The two point estimation method (2PEM) is recognized as an appropriate probabilistic method in small scale or even medium scale problems. This paper develops a new methodology for...
Real time probabilistic power system state estimation
, Article International Journal of Electrical Power and Energy Systems ; Vol. 62, issue , 2014 , p. 383-390 ; ISSN: 1420615 ; Rashidinejad, M ; Kouhi, S ; Fotuhi-Firuzabad, M ; Ravadanegh, S.N ; Sharif University of Technology
Abstract
Smartening of contemporaneous power delivery systems in conjunction with the increased penetration of renewable energies (REs), change the way to energize consumers who are willing to maximize their utility from energy consumption. However, there is a high degree of uncertainty in the electricity markets of such systems. Moreover, the unprecedented ascending penetration of distributed energy resources (DERs) mainly harvesting REs is a direct consequence of environmentally friendly concerns. This type of energy resources brings about more uncertainties into power system operation resulting in, necessitates probabilistic analysis of the system performance. In the smarter power markets,...
Probabilistic load flow in correlated uncertain environment using unscented transformation
, Article IEEE Transactions on Power Systems ; Vol. 27, issue. 4 , 2012 , p. 2233-2241 ; ISSN: 08858950 ; Fotuhi-Firuzabad, M ; Aminifar, F ; Sharif University of Technology
Abstract
As a matter of course, the unprecedented ascending penetration of distributed energy resources, mainly harvesting renewable energies, is a direct consequence of environmental concerns. This type of energy resource brings about more uncertainties in power system operation and planning; consequently, it necessitates probabilistic analyses of the system performance. This paper develops a new approach for probabilistic load flow (PLF) evaluation using the unscented transformation (UT) method. The UT method is recognized as a powerful approach in assessing stochastic problems with/without correlated uncertain variables. The capability of the UT method in modeling correlated uncertain variables is...
Probabilistic load flow in correlated uncertain environment using unscented transformation
, Article IEEE Transactions on Power Systems ; Volume 27, Issue 4 , 2012 , Pages 2233-2241 ; 08858950 (ISSN) ; Fotuhi Firuzabad, M ; Aminifar, F ; Sharif University of Technology
2012
Abstract
As a matter of course, the unprecedented ascending penetration of distributed energy resources, mainly harvesting renewable energies, is a direct consequence of environmental concerns. This type of energy resource brings about more uncertainties in power system operation and planning; consequently, it necessitates probabilistic analyses of the system performance. This paper develops a new approach for probabilistic load flow (PLF) evaluation using the unscented transformation (UT) method. The UT method is recognized as a powerful approach in assessing stochastic problems with/without correlated uncertain variables. The capability of the UT method in modeling correlated uncertain variables is...
Probabilistic optimal power flow in correlated hybrid wind-PV power systems: A review and a new approach
, Article Renewable and Sustainable Energy Reviews ; Volume 41 , January , 2015 , Pages 1437-1446 ; 13640321 (ISSN) ; Rashidinejad, M ; Firuz Abad, M. F ; Sharif University of Technology
Elsevier Ltd
2015
Abstract
Hastening the power industry reregulation juxtaposed with the unprecedented utilization of uncertain renewable energies (REs), faces power system operation with sever uncertainties. Consequently, uncertainty assessment of system performance is an obligation. This paper reviews the probabilistic techniques used for probabilistic optimal power flow (P-OPF) studies and proposes a novel and powerful approach using the unscented transformation (UT) method. The heart of the proposed method lies in how to produce the sampling points. Appropriate sampling points are chosen to perform the P-OPF with a high degree of accuracy and less computational burden compared with features of other existing...