Optimization Scheduling of Multi-Entity Integrated Energy Systems in Agricultural and Pastoral Complexes

Modern integrated energy systems in agricultural and pastoral complexes not only need to ensure optimal energy use during normal operation but also must address the energy interactions between sub-zones, each with different stakeholder interests. This paper analyzes the energy consumption in agricultural and pastoral complexes and their sub-zones, and proposes an optimization scheduling model for hierarchical, distributed integrated energy systems. By conducting an optimization scheduling for a modern agricultural and pastoral complex on a typical summer day, and comparing the costs of energy interaction between sub-zones, the effectiveness of the proposed two-tier distributed optimization scheduling strategy is validated.

Authors

Institutions

Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/cepgt64143.2024.11064848
Primary Topic
Global Energy and Sustainability Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization Scheduling of Multi-Entity Integrated Energy Systems in Agricultural and Pastoral Complexes

Jian Wei, Zetao Huang, Nansong Wei, Haolin Wu et al.
Global Energy and Sustainability Research
article

Optimization Scheduling of Multi-Entity Integrated Energy Systems in Agricultural and Pastoral Complexes

Jian Wei, Zetao Huang, Nansong Wei, Haolin Wu, Juan Su, Yingshun Liu, Jindong Liu
article en

Abstract

Modern integrated energy systems in agricultural and pastoral complexes not only need to ensure optimal energy use during normal operation but also must address the energy interactions between sub-zones, each with different stakeholder interests. This paper analyzes the energy consumption in agricultural and pastoral complexes and their sub-zones, and proposes an optimization scheduling model for hierarchical, distributed integrated energy systems. By conducting an optimization scheduling for a modern agricultural and pastoral complex on a typical summer day, and comparing the costs of energy interaction between sub-zones, the effectiveness of the proposed two-tier distributed optimization scheduling strategy is validated.

State Grid Corporation of China (China) (CN), China Rural Technology Development Center (CN)
Zero hunger
Openalex Percentile: Top 83%
Global Energy and Sustainability Research
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.