Multi-Objective Optimal Power Flow Calculation Considering Carbon Emission Intensity

Gangfei Wang, Hengrui Ma, Bo Wang, Abdullah M. Alharbi, Hongxia Wang, Fuqi Ma

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

In keeping with China’s dual carbon goals, optimal low-carbon power system dispatch has become a necessary component of the greening of the power system. However, typically, research considers only the economics of such efforts. Based on our power flow analysis of the power grid and the correlation properties of carbon emission flow, an optimal power flow calculation model targeting the total carbon emission rate of the power system’s power generation cost, active network loss, and load and network loss was constructed. Next, the NSGA-III algorithm was used to solve the model, and the decision was to coordinate and optimize the output schemes of various types of power plants, such as wind, water, and thermal. The modified IEEE39 node simulation system was built with Matlab software (MATLAB R2020b). The results of the calculation showed that, compared to the traditional method of determining the optimal power flow, the proposed method reduced the system carbon emissions by 20% while the power generation cost increased by less than 2%, which proves the effectiveness and practicability of the proposed method.

Original languageEnglish
Article number16953
JournalSustainability (Switzerland)
Volume15
Issue number24
DOIs
StatePublished - Dec 2023

Keywords

  • NSGA-III algorithm
  • TOPSIS method
  • carbon emission flow
  • optimal power flow

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