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Related Experiment Video

Updated: Jul 2, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

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Published on: February 14, 2025

A low-carbon economic dispatch method for regional integrated energy system based on multi-objective chaotic

Jie Cao¹, Yuanbo Yang², Nan Qu³

¹School of Computer Science, Northeast Electric Power University, Jilin, 132012, China. caojie@neepu.edu.cn.

Scientific Reports

|February 19, 2024

Summary

This study introduces a new low-carbon economic dispatch method for Regional Integrated Energy Systems (RIES). The approach optimizes costs and reduces carbon emissions, supporting carbon neutrality goals.

Keywords:

Artificial hummingbird algorithm Low-carbon economic dispatch Multi-objective optimization Regional integrated energy system

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Last Updated: Jul 2, 2025

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Area of Science:

Energy Systems Engineering
Environmental Science
Operations Research

Background:

Regional Integrated Energy Systems (RIES) connect diverse energy subsystems to meet varied demands and improve efficiency.
Achieving economic and environmental benefits in RIES is crucial for meeting "carbon peak and carbon neutrality" objectives.
Existing dispatch methods may not adequately balance economic costs with carbon emission reductions.

Purpose of the Study:

To develop a novel low-carbon economic dispatch method for RIES.
To optimize both economic and environmental performance concurrently.
To facilitate the selection of an optimal operational plan aligned with carbon reduction targets.

Main Methods:

Formulation of a comprehensive low-carbon economic dispatch model for RIES.
Proposal and application of a multi-objective chaotic artificial hummingbird algorithm to derive the Pareto frontier.
Implementation of a TOPSIS approach with combined subjective and objective weights for optimal solution selection.

Main Results:

The proposed method demonstrates superior optimization outcomes, convergence efficiency, and solution diversity.
Achieved an 8.8% reduction in system operational economic costs.
Achieved a 14.2% reduction in carbon emissions.

Conclusions:

The novel low-carbon economic dispatch method effectively balances economic and environmental objectives in RIES.
The multi-objective chaotic artificial hummingbird algorithm and TOPSIS approach provide a robust framework for optimal RIES operation.
The findings support the transition towards sustainable energy systems and achievement of carbon reduction goals.