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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

An unequivocal normalization-based paradigm to solve dynamic economic and emission active-reactive OPF (optimal power flow)

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Pourakbari-Kasmaei, Mandi [1] ; Rider, Marcos J. [1] ; Mantovani, Jose R. S. [1]
Total Authors: 3
[1] State Univ Sao Paulo UNESP, Dept Elect Engn, Ilha Solteira - Brazil
Total Affiliations: 1
Document type: Journal article
Source: ENERGY; v. 73, p. 554-566, AUG 14 2014.
Web of Science Citations: 14

This paper presents a straightforward compromising methodology of dynamic economic and emission AROPF (active-reactive optimal power flow). AROPF considering environmental effects is a highly nonlinear problem, and the dynamic consideration of such problems makes it even more complicated and extra-high nonlinear; find an appropriate compromising solution for such problems is considered as a complicated task. In one hand the traditional compromising methodologies cannot find an acceptable compromise point for large-scale systems, and on the other hand metaheuristic methods are time consuming. In this paper an UNBP (unequivocal normalization-based paradigm) is proposed, while instead of maximum output-based pollution control cost, an adaptive pollution control cost is used to consider the system topology in dynamic scheduling and under various system conditions such as normal, outage, and critical conditions. By using a normalization process and adaptive pollution control cost, a uniform compromising procedure is obtained. Three case studies such as 14-bus, 30-bus, and 118-bus IEEE test systems are conducted and results are compared to those reported in literature. Results confirm the potential, effectiveness, and superiority of the proposed UNBP compared to traditional and heuristic-based multi-objective optimization techniques. (C) 2014 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 11/13995-5 - Optimal active and reactive power dispatching in Multi-Area power system considering physical, economic and environmental constraints
Grantee:Mahdi Pourakbari Kasmaei
Support type: Scholarships in Brazil - Doctorate