TY - JOUR
T1 - Economic/Environmental Optimal Power Flow Using a Multiobjective Convex Formulation
AU - Yamaguti, Lucas do Carmo
AU - Home-Ortiz, Juan Manuel
AU - Pourakbari-Kasmaei, Mahdi
AU - Mantovani, José Roberto Sanches
N1 - Funding Information:
This work was supported in part by the São Paulo Research Foundation (FAPESP) under grants 2019/01841-5, 2019/23755-3, and 2015/21972-6, in part by the Coordination for the Improvement of Higher Education Personnel (CAPES) finance code 001, and in part by the Brazilian National Council for Scientific and Technological Development (CNPq) under Grant 304726/2020-6.
Publisher Copyright:
© 2023 by the authors.
PY - 2023/6
Y1 - 2023/6
N2 - This paper addresses the problem of economic/environmental optimal power flow with a multiobjective formulation using a second-order conic programming (SOCP) optimization model. This problem formulation considers renewable energy sources (RES), fossil-fuel-based power generation units, and voltage control. The proposed SOCP model is a stochastic scenario-based approach to deal with RES and load behavior uncertainties. An ε-constrained algorithm is used to handle the following three objective functions: (1) the costs of power generation, (2) active power losses in the branches, and (3) the emission of pollutant gases produced by fossil-fuel-based power generation units. For comparative purposes, the SOCP model is also presented using a linearized formulation, and numerical results are presented using a 118-bus system. The results confirm that changing the energy matrices directly affects the cost of objective functions. Additionally, using a linearized SOCP model significantly reduces reactive power violation in the generation units when compared to the nonlinearized SOCP model, but also increases the computational time consumed.
AB - This paper addresses the problem of economic/environmental optimal power flow with a multiobjective formulation using a second-order conic programming (SOCP) optimization model. This problem formulation considers renewable energy sources (RES), fossil-fuel-based power generation units, and voltage control. The proposed SOCP model is a stochastic scenario-based approach to deal with RES and load behavior uncertainties. An ε-constrained algorithm is used to handle the following three objective functions: (1) the costs of power generation, (2) active power losses in the branches, and (3) the emission of pollutant gases produced by fossil-fuel-based power generation units. For comparative purposes, the SOCP model is also presented using a linearized formulation, and numerical results are presented using a 118-bus system. The results confirm that changing the energy matrices directly affects the cost of objective functions. Additionally, using a linearized SOCP model significantly reduces reactive power violation in the generation units when compared to the nonlinearized SOCP model, but also increases the computational time consumed.
KW - emission pollutant gasses
KW - multiobjective optimization
KW - optimal power flow
KW - renewable energy sources
KW - second-order conic programming
KW - ε-constrained algorithm
UR - http://www.scopus.com/inward/record.url?scp=85163814733&partnerID=8YFLogxK
U2 - 10.3390/en16124651
DO - 10.3390/en16124651
M3 - Article
AN - SCOPUS:85163814733
SN - 1996-1073
VL - 16
JO - Energies
JF - Energies
IS - 12
M1 - 4651
ER -
