Research on Hydropower Dispatching Strategy in Multi-energy Complementary Systems

In multi-energy complementary systems, how to reasonably allocate water resources while meeting the needs of the power system has become a major challenge. To address this challenge, this article conducts an in-depth study of the hydropower dispatching strategy in multi-energy complementary systems. The article first analyzes the operating structure of multi-energy complementary systems. On this basis, it constructs a hydropower dispatching model in multi-energy complementary systems, setting the objective function first, then setting the constraint conditions, and finally using the particle swarm optimization algorithm to solve the model. Through model simulation experiments, the effectiveness and feasibility of the proposed strategy are verified.

Authors

Institutions

Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/ceeml65709.2024.00015
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Hydropower Dispatching Strategy in Multi-energy Complementary Systems

Zuxin Li, Jingyi Ye, Yingjun Hu, Yuchen Wang et al.
Power Systems and Renewable Energy
article

Research on Hydropower Dispatching Strategy in Multi-energy Complementary Systems

Zuxin Li, Jingyi Ye, Yingjun Hu, Yuchen Wang, Jianxiong Li, Xuanrong Ye
article en

Abstract

In multi-energy complementary systems, how to reasonably allocate water resources while meeting the needs of the power system has become a major challenge. To address this challenge, this article conducts an in-depth study of the hydropower dispatching strategy in multi-energy complementary systems. The article first analyzes the operating structure of multi-energy complementary systems. On this basis, it constructs a hydropower dispatching model in multi-energy complementary systems, setting the objective function first, then setting the constraint conditions, and finally using the particle swarm optimization algorithm to solve the model. Through model simulation experiments, the effectiveness and feasibility of the proposed strategy are verified.

State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 63%
Power Systems and Renewable Energy
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.