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

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An unequivocal normalization-based paradigm to solve dynamic economic and emission active-reactive OPF (optimal power flow). / Pourakbari-Kasmaei, Mahdi; Rider, Marcos J.; Mantovani, José R.S.

julkaisussa: Energy, Vuosikerta 73, 14.08.2014, s. 554-566.

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

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Bibtex - Lataa

@article{ec82fc01132047168545cdbc9d19817a,
title = "An unequivocal normalization-based paradigm to solve dynamic economic and emission active-reactive OPF (optimal power flow)",
abstract = "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.",
keywords = "Active-reactive optimal power flow, Adaptive pollution control cost, Contingency, Environmental effect, Normalization-based optimization",
author = "Mahdi Pourakbari-Kasmaei and Rider, {Marcos J.} and Mantovani, {Jos{\'e} R.S.}",
year = "2014",
month = "8",
day = "14",
doi = "10.1016/j.energy.2014.06.057",
language = "English",
volume = "73",
pages = "554--566",
journal = "Energy (the International Journal)",
issn = "0360-5442",

}

RIS - Lataa

TY - JOUR

T1 - An unequivocal normalization-based paradigm to solve dynamic economic and emission active-reactive OPF (optimal power flow)

AU - Pourakbari-Kasmaei, Mahdi

AU - Rider, Marcos J.

AU - Mantovani, José R.S.

PY - 2014/8/14

Y1 - 2014/8/14

N2 - 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.

AB - 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.

KW - Active-reactive optimal power flow

KW - Adaptive pollution control cost

KW - Contingency

KW - Environmental effect

KW - Normalization-based optimization

UR - http://www.scopus.com/inward/record.url?scp=84905719107&partnerID=8YFLogxK

U2 - 10.1016/j.energy.2014.06.057

DO - 10.1016/j.energy.2014.06.057

M3 - Article

VL - 73

SP - 554

EP - 566

JO - Energy (the International Journal)

JF - Energy (the International Journal)

SN - 0360-5442

ER -

ID: 16968221