Open Access

ARTICLE

Data Mining Based Integrated Electric-Gas Energy System Multi-Objective Optimization

by Zhukui Tan^1,*, Yongjie Ren¹, Hua Li¹, Weili Ren², Xichao Zhou², Ming Zeng¹

1 North China Electric Power University, Beijing, 102206, China
2 State Grid Integrated Energy Service Group, Beijing, 100052, China

* Corresponding Author: Zhukui Tan. Email:

Energy Engineering 2022, 119(6), 2607-2619. https://doi.org/10.32604/ee.2022.019550

Received 29 September 2021; Accepted 15 February 2022; Issue published 14 September 2022

Abstract

With the proposal of carbon neutrality, how to improve the proportion of clean energy in energy consumption and reduce carbon dioxide emissions has become the important challenge for the traditional energy industry. Based on the idea of multi-energy complementarity, a typical integrated energy system consisting of electric system and gas system is constructed based on the application of power to gas (P2G) technology and gas turbine in this paper. Furthermore, a multi-objective optimization model with economic improvement, carbon emission reduction and peak-load shifting as objectives is proposed, and solved by BSO algorithm. Finally, a typical power-gas coupling system is selected as an example to verify the effectiveness of the model. The results showed that the proposed multi-objective optimization model based on BSO algorithm can better play the complementary characteristics of the electric and gas system, and significantly improve the comprehensive benefits of system operation.

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Keywords

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