Research on trading strategy of electricity purchasers under interprovincial mutual aid considering regional comprehensive cost

This study constructs a regional comprehensive cost-benefit model to compare power system operations under inter-provincial mutual aid and independent operation scenarios. Incorporating Conditional Value at Risk (CVaR) and renewable energy accommodation ratios, the model proposes optimized electricity procurement strategies for load-excess provinces and curtailment suggestions for power-surplus provinces, considering provincial generation portfolios, demand characteristics, and electricity market policies. The results provide multi-dimensional decision support for regional power resource allocation, validating the critical role of inter-provincial electricity trading in facilitating energy transition in balancing economic, reliability, and environmental friendliness.

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Publication Details

Journal
IET conference proceedings.
Published
2026-02-19
DOI
https://doi.org/10.1049/icp.2025.3717
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on trading strategy of electricity purchasers under interprovincial mutual aid considering regional comprehensive cost

Chen Su, Y. X. Yang, Yun Zhou, Feng Yu et al.
IET conference proceedings.
Electric Power System Optimization
article

Research on trading strategy of electricity purchasers under interprovincial mutual aid considering regional comprehensive cost

Chen Su, Y. X. Yang, Yun Zhou, Feng Yu, Li Lan, Donghan Feng
article en

Abstract

This study constructs a regional comprehensive cost-benefit model to compare power system operations under inter-provincial mutual aid and independent operation scenarios. Incorporating Conditional Value at Risk (CVaR) and renewable energy accommodation ratios, the model proposes optimized electricity procurement strategies for load-excess provinces and curtailment suggestions for power-surplus provinces, considering provincial generation portfolios, demand characteristics, and electricity market policies. The results provide multi-dimensional decision support for regional power resource allocation, validating the critical role of inter-provincial electricity trading in facilitating energy transition in balancing economic, reliability, and environmental friendliness.

IET conference proceedings.Vol. 2025(38)
Shanghai Jiao Tong University (CN), Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 51%
Electric Power System Optimization
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