Economic/Environmental Optimal Power Flow Using a Multiobjective Convex Formulation

Author(s)

Yamaguti, Lucas do Carmo ; Home-Ortiz, Juan Manuel ; Pourakbari-Kasmaei, Mahdi ; Mantovani, Jose Roberto Sanches

• Document type: Journal article
• Source: ENERGIES; v. 16, n. 12, p. 21-pg., 2023-06-01.

Abstract

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 e-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. (AU)

• FAPESP's process: 19/01841-5 - Planning of Resilient Electric Power Distribution Systems
• Grantee: Juan Manuel Home Ortiz
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 19/23755-3 - Optimal planning and operation of microgrids for the enhancing of the resilience in distribution systems
• Grantee: Juan Manuel Home Ortiz
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
• FAPESP's process: 15/21972-6 - Optimization of the operation and planning in transmission and distribution systems
• Grantee: Rubén Augusto Romero Lázaro
• Support Opportunities: Research Projects - Thematic Grants