Economic/Environmental Optimal Power Flow Using a Multiobjective Convex Formulation

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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Energies, Volume 16, issue 12
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.
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.
emission pollutant gasses, multiobjective optimization, optimal power flow, renewable energy sources, second-order conic programming, ε-constrained algorithm
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Yamaguti , L D C , Home-Ortiz , J M , Pourakbari-Kasmaei , M & Mantovani , J R S 2023 , ' Economic/Environmental Optimal Power Flow Using a Multiobjective Convex Formulation ' , Energies , vol. 16 , no. 12 , 4651 .