Optimized Scheduling of Multi-Energy Coupled Virtual Power Plants for Low-Carbon Economic Operation

With the global emphasis on reducing greenhouse gas emissions, traditional power generation methods are facing challenges, highlighting the importance of dispatching distributed energy. This paper addresses the issues of resource allocation and low-carbon operational model transformation in Multi-Energy Coupled Virtual Power Plants (MECVPPs) by establishing a low-carbon economic dispatch model for MECVPPs. Furthermore, an improved Common Coot Optimization Technique (COOT) is designed to solve this model. Simulation experiments validate the effectiveness and practicability of the model in terms of resource dispatching and demand-side response, providing guidance for the low-carbon economic operation and dispatch of MECVPPs.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/isneet64164.2024.10956128
Primary Topic
Smart Grid Energy Management
Type
article
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article

Optimized Scheduling of Multi-Energy Coupled Virtual Power Plants for Low-Carbon Economic Operation

Yang Li, Xiaozhi Zheng, Yujie Huang, Hui Xu et al.
Smart Grid Energy Management
article

Optimized Scheduling of Multi-Energy Coupled Virtual Power Plants for Low-Carbon Economic Operation

Yang Li, Xiaozhi Zheng, Yujie Huang, Hui Xu, Junwei Yang
article en

Abstract

With the global emphasis on reducing greenhouse gas emissions, traditional power generation methods are facing challenges, highlighting the importance of dispatching distributed energy. This paper addresses the issues of resource allocation and low-carbon operational model transformation in Multi-Energy Coupled Virtual Power Plants (MECVPPs) by establishing a low-carbon economic dispatch model for MECVPPs. Furthermore, an improved Common Coot Optimization Technique (COOT) is designed to solve this model. Simulation experiments validate the effectiveness and practicability of the model in terms of resource dispatching and demand-side response, providing guidance for the low-carbon economic operation and dispatch of MECVPPs.

Kunming University of Science and Technology (CN), China Southern Power Grid (China) (CN)
Openalex Percentile: Top 73%
Smart Grid Energy Management
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Optimized Scheduling of Multi-Energy Coupled Virtual Power Plants for Low-Carbon Economic Operation — Yang Li, Xiaozhi Zheng, et al. · (2024) | TGRS Research Map | TGRS