Peak-Shave Scheduling for Multi-Source Power Generation System, Considering Pumped Hydro Storage and Electrochemical Storage Systems

Abstract: The Yunnan-Guizhou-Sichuan region (Southwest grid) in China possesses abundant hydropower resources wind and photovoltaic power generation. However, due to suboptimal dispatch strategies, the increase of power generation costs occurs frequently. In particular, during sudden power load fluctuations caused by unexpected events, the absence of effective peak-shaving strategies leads to higher curtailment rates of wind and solar power, which further driving up costs. This study focuses on a wind-solar-hydro-storage multi-source power generation system, target at peak-shaving Schemes by conducting 24h day-ahead scheduling of energy storage devices (both electrochemical and pumped storage). Two peak-shaving schemes are proposed: one only considers pumped storage while the second scheme considers electrochemical energy storage and pumped storage. The optimization problem is solved using Matlab-Cplex. Comparison results indicate that with the participation of electrochemical energy storage, the second scheme achieves similar peak-shaving performance as the first but with lower wind and solar curtailment rates. Additionally, the operational costs of the pumped storage system are reduced due to the involvement of electrochemical storage. This solution meets both the economic and peak-shaving performance requirements of the system.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1145/3705754.3705768
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

Peak-Shave Scheduling for Multi-Source Power Generation System, Considering Pumped Hydro Storage and Electrochemical Storage Systems

Weihua Luo, H. Jiang, Yongchao Sun, Qirui Li et al.
Power Systems and Renewable Energy
article

Peak-Shave Scheduling for Multi-Source Power Generation System, Considering Pumped Hydro Storage and Electrochemical Storage Systems

Weihua Luo, H. Jiang, Yongchao Sun, Qirui Li, Li He
article en

Abstract

Abstract: The Yunnan-Guizhou-Sichuan region (Southwest grid) in China possesses abundant hydropower resources wind and photovoltaic power generation. However, due to suboptimal dispatch strategies, the increase of power generation costs occurs frequently. In particular, during sudden power load fluctuations caused by unexpected events, the absence of effective peak-shaving strategies leads to higher curtailment rates of wind and solar power, which further driving up costs. This study focuses on a wind-solar-hydro-storage multi-source power generation system, target at peak-shaving Schemes by conducting 24h day-ahead scheduling of energy storage devices (both electrochemical and pumped storage). Two peak-shaving schemes are proposed: one only considers pumped storage while the second scheme considers electrochemical energy storage and pumped storage. The optimization problem is solved using Matlab-Cplex. Comparison results indicate that with the participation of electrochemical energy storage, the second scheme achieves similar peak-shaving performance as the first but with lower wind and solar curtailment rates. Additionally, the operational costs of the pumped storage system are reduced due to the involvement of electrochemical storage. This solution meets both the economic and peak-shaving performance requirements of the system.

University of Electronic Science and Technology of China (CN), State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 72%
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.