Rapid calculation scheme for electricity quantity and green certificate allocation considering demand response within the municipal scope

Currently, with the ongoing reform of the electricity market, the allocation schemes for electricity quantity and green certificates in the electricity market are urgent issues that need to be addressed. This paper focuses on the day-ahead allocation scenario of electricity quantity and certificates considering demand response within the municipal scope, constructs a leader-follower game model, and solves it through the Kriging model surrogate optimization method. Compared with direct solution methods, this algorithm can reduce computational requirements, improve calculation speed, and achieve precise allocation of electricity quantity and certificates among different regions with corresponding green certificate proportions. Through the calculation using the proposed model, it is also possible to simulate the allocation of electricity quantity and green certificates in the electricity market under different electricity quantity scenarios, which can be applied in practical engineering.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-05-01
DOI
https://doi.org/10.19753/j.issn1001-1390.2025.05.005
Primary Topic
Electric Power System Optimization
Type
article
Field-Weighted Citation Impact
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article

Rapid calculation scheme for electricity quantity and green certificate allocation considering demand response within the municipal scope

SHILAP Revista de lepidopterología
Electric Power System Optimization
article

Rapid calculation scheme for electricity quantity and green certificate allocation considering demand response within the municipal scope

article en

Abstract

Currently, with the ongoing reform of the electricity market, the allocation schemes for electricity quantity and green certificates in the electricity market are urgent issues that need to be addressed. This paper focuses on the day-ahead allocation scenario of electricity quantity and certificates considering demand response within the municipal scope, constructs a leader-follower game model, and solves it through the Kriging model surrogate optimization method. Compared with direct solution methods, this algorithm can reduce computational requirements, improve calculation speed, and achieve precise allocation of electricity quantity and certificates among different regions with corresponding green certificate proportions. Through the calculation using the proposed model, it is also possible to simulate the allocation of electricity quantity and green certificates in the electricity market under different electricity quantity scenarios, which can be applied in practical engineering.

SHILAP Revista de lepidopterología
Tsinghua University (CN)
Openalex Percentile: Top 55%
Electric Power System Optimization
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