A Hierarchical Collaborative Optimization Strategy for Integrated Energy Systems

A hierarchical and distributed coordination control method is proposed for integrated energy systems, considering the characteristics of multi-energy flow coupling and complementarity. Under regular operation, both the upper-level park and lower-level user control systems aim to minimize operational costs by optimizing their resources. When the park's load peak exceeds limits, the upper-level system targets minimal total peak shaving cost, coordinating direct control resources within the park and demand response resources from users to achieve comprehensive peak reduction, thus facilitating a friendly interaction with the power grid. The effectiveness and correctness of the proposed method are validated through an actual industrial park case study.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922257
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Hierarchical Collaborative Optimization Strategy for Integrated Energy Systems

Ying Le, Kaipeng Chen, K. Y. L. Su, Minghui Liu et al.
Integrated Energy Systems Optimization
article

A Hierarchical Collaborative Optimization Strategy for Integrated Energy Systems

Ying Le, Kaipeng Chen, K. Y. L. Su, Minghui Liu, Wang Yujiao, Shoufu Shao, Zhen Qi
article en

Abstract

A hierarchical and distributed coordination control method is proposed for integrated energy systems, considering the characteristics of multi-energy flow coupling and complementarity. Under regular operation, both the upper-level park and lower-level user control systems aim to minimize operational costs by optimizing their resources. When the park's load peak exceeds limits, the upper-level system targets minimal total peak shaving cost, coordinating direct control resources within the park and demand response resources from users to achieve comprehensive peak reduction, thus facilitating a friendly interaction with the power grid. The effectiveness and correctness of the proposed method are validated through an actual industrial park case study.

Hohai University (CN), Shandong Lianxing Energy Group (China) (CN), China Huadian Corporation (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 74%
Integrated Energy Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.