Coordinated Optimal Dispatching of Source and Load in Energy-Intensive Industrial Park

In recent years, the randomness and intermittency of wind and solar power output have continuously increased the regulation pressure of conventional power sources. The conventional electric power dispatching cannot effectively solve the uncertainty of renewable energy output. The problem of obstructing the consumption of renewable energy sources such as wind and solar power is also becoming more and more serious. On this basis, this paper proposes a source-load coordinated optimization dispatching method that considers the uncertainty and correlation of wind and solar power output; Firstly, utilizing the energy-intensive loads with different regulation characteristics participate in demand response (DR) program, and energyintensive industrial park’s (EIIP’s) captive power plant (CCP) units in dispatching to promote the accommodation of wind and solar power. Furthermore, the stepped DR incentive mechanism is used to EIIP participate in DR program. Finally, the case study results prove that the proposed method can effectively improve the level of wind and solar power accommodation and reduce the operating cost of the EIIP.

Authors

Institutions

Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/aaiee64965.2025.11100534
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Coordinated Optimal Dispatching of Source and Load in Energy-Intensive Industrial Park

Shunfu Lin, Liang Qian, Wei Wang, Dongdong Li
Smart Grid Energy Management
article

Coordinated Optimal Dispatching of Source and Load in Energy-Intensive Industrial Park

Shunfu Lin, Liang Qian, Wei Wang, Dongdong Li
article en

Abstract

In recent years, the randomness and intermittency of wind and solar power output have continuously increased the regulation pressure of conventional power sources. The conventional electric power dispatching cannot effectively solve the uncertainty of renewable energy output. The problem of obstructing the consumption of renewable energy sources such as wind and solar power is also becoming more and more serious. On this basis, this paper proposes a source-load coordinated optimization dispatching method that considers the uncertainty and correlation of wind and solar power output; Firstly, utilizing the energy-intensive loads with different regulation characteristics participate in demand response (DR) program, and energyintensive industrial park’s (EIIP’s) captive power plant (CCP) units in dispatching to promote the accommodation of wind and solar power. Furthermore, the stepped DR incentive mechanism is used to EIIP participate in DR program. Finally, the case study results prove that the proposed method can effectively improve the level of wind and solar power accommodation and reduce the operating cost of the EIIP.

Shanghai University of Electric Power (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 81%
Smart Grid Energy Management
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.