Coordinated Peak-shaving Optimization strategy for power sources

In wind-coal intensive systems (WCISs) which the proportion of new energy is relatively high, while thermal power remains the main conventional energy source, thermal power faces significant peak-shaving challenges. This study focuses on the direction of coordinated peak-shaving optimization of power sources, aiming to explore the development and application of multi-source coordination optimization models and deep peak-shaving models for power units. The paper aims to develop a multi-source coordinated optimization scheduling model for regional power grids to minimize operational costs, while comprehensively considering system operation reserve constraints, new energy consumption capacity, and deep peak-shaving constraints for thermal power. An example analysis of the Northeast-North China interconnected grid will verify the effectiveness and feasibility of the proposed methods. The goal of this approach is to derive reasonable intra-day thermal power dispatch strategies, efficiently coordinate the generation of various power sources, and significantly improve overall system efficiency while ensuring system reserve capacity.

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Publication Details

Published
2025-04-07
DOI
https://doi.org/10.1109/icpies65420.2025.11070183
Primary Topic
Power Systems and Renewable Energy
Type
article
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Coordinated Peak-shaving Optimization strategy for power sources

Zhaolin Liu, Yicheng Liu, Qiuwang Wang, Ruiming Fan et al.
Power Systems and Renewable Energy
article

Coordinated Peak-shaving Optimization strategy for power sources

Zhaolin Liu, Yicheng Liu, Qiuwang Wang, Ruiming Fan, Bincheng Zuo
article en

Abstract

In wind-coal intensive systems (WCISs) which the proportion of new energy is relatively high, while thermal power remains the main conventional energy source, thermal power faces significant peak-shaving challenges. This study focuses on the direction of coordinated peak-shaving optimization of power sources, aiming to explore the development and application of multi-source coordination optimization models and deep peak-shaving models for power units. The paper aims to develop a multi-source coordinated optimization scheduling model for regional power grids to minimize operational costs, while comprehensively considering system operation reserve constraints, new energy consumption capacity, and deep peak-shaving constraints for thermal power. An example analysis of the Northeast-North China interconnected grid will verify the effectiveness and feasibility of the proposed methods. The goal of this approach is to derive reasonable intra-day thermal power dispatch strategies, efficiently coordinate the generation of various power sources, and significantly improve overall system efficiency while ensuring system reserve capacity.

Hong Kong Polytechnic University (HK), State Grid Corporation of China (China) (CN), Yantai University (CN), Quality and Reliability (Greece) (GR), Xi'an Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 83%
Power Systems and Renewable Energy
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Coordinated Peak-shaving Optimization strategy for power sources — Zhaolin Liu, Yicheng Liu, et al. · (2025) | TGRS Research Map | TGRS