Research on the Strategic Planning of New Power System Considering the Cooperative Optimization Operation of Source and Network Load and Storage Under the Dual Carbon Target

This paper studies the strategic planning of the new power system under the background of dual-carbon target, with special attention to the cooperative optimization of the load and storage operation of the source network. This study simulates the development trend of China's energy and power system from 2020 to 2060 by constructing a medium - and long-term energy and power development forecast model, and analyzes the evolution trend of related core indicators. The study emphasizes the strategic importance of green electricity substitution and green hydrogen substitution in the construction of new energy systems and new power systems, and explores the key role of these alternative strategies in achieving low-carbon transition. In order to improve the flexibility and reliability of the system, this paper also studies the cooperative control methods in the new power system, including the construction of the source load and storage model, the construction of the control target model, the constraint setting and the optimization algorithm solving. Through improved genetic algorithm and ant colony algorithm, an optimized cooperative control scheme is proposed to minimize total operating cost and load fluctuation. The findings provide comprehensive analysis and strategic insights for policy development and energy system planning to support the achievement of carbon peaking and carbon neutrality goals

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Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1109/iceaai64185.2025.10957693
Primary Topic
Smart Grid and Power Systems
Type
article
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Research on the Strategic Planning of New Power System Considering the Cooperative Optimization Operation of Source and Network Load and Storage Under the Dual Carbon Target

Tong Wu, Zhanying Wang, M. ZHANG, Zongyuan Wang et al.
Smart Grid and Power Systems
article

Research on the Strategic Planning of New Power System Considering the Cooperative Optimization Operation of Source and Network Load and Storage Under the Dual Carbon Target

Tong Wu, Zhanying Wang, M. ZHANG, Zongyuan Wang, Zehao Wang
article en

Abstract

This paper studies the strategic planning of the new power system under the background of dual-carbon target, with special attention to the cooperative optimization of the load and storage operation of the source network. This study simulates the development trend of China's energy and power system from 2020 to 2060 by constructing a medium - and long-term energy and power development forecast model, and analyzes the evolution trend of related core indicators. The study emphasizes the strategic importance of green electricity substitution and green hydrogen substitution in the construction of new energy systems and new power systems, and explores the key role of these alternative strategies in achieving low-carbon transition. In order to improve the flexibility and reliability of the system, this paper also studies the cooperative control methods in the new power system, including the construction of the source load and storage model, the construction of the control target model, the constraint setting and the optimization algorithm solving. Through improved genetic algorithm and ant colony algorithm, an optimized cooperative control scheme is proposed to minimize total operating cost and load fluctuation. The findings provide comprehensive analysis and strategic insights for policy development and energy system planning to support the achievement of carbon peaking and carbon neutrality goals

Shanghai Electric (China) (CN)
Openalex Percentile: Top 94%
Smart Grid and Power Systems
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