Optimized Scheduling of Integrated Energy Systems Considering P2G and Integrated Demand Response

To further improve the integrated energy system (IES) 's renewable energy consumption capacity and limit its CO2 emissions, the paper proposes a two-tier scheduling method considering power-to-gas(P2G) and integrated demand response (IDR). First, a mathematical model of carbon capture and two-stage P2G conversion is constructed, and interruptible loads, transferable loads, and substitutable loads are introduced to participate in the IDR; second, a dynamic pricing strategy is formulated to guide the charging of EVs in an orderly manner; finally, optimal scheduling of the IES is established to minimize the operating cost of the IES in the upper model and minimizing the total charging cost of the EVs in the lower model. The effectiveness of the proposed model is verified by setting multiple scenarios for comparison and analysis.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icsgsc62639.2024.10813664
Primary Topic
Smart Grid Energy Management
Type
article
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article

Optimized Scheduling of Integrated Energy Systems Considering P2G and Integrated Demand Response

Yuqing Zhang, Shicheng Zheng, Jiahong Lang, Jinyu Li
Smart Grid Energy Management
article

Optimized Scheduling of Integrated Energy Systems Considering P2G and Integrated Demand Response

Yuqing Zhang, Shicheng Zheng, Jiahong Lang, Jinyu Li
article en

Abstract

To further improve the integrated energy system (IES) 's renewable energy consumption capacity and limit its CO2 emissions, the paper proposes a two-tier scheduling method considering power-to-gas(P2G) and integrated demand response (IDR). First, a mathematical model of carbon capture and two-stage P2G conversion is constructed, and interruptible loads, transferable loads, and substitutable loads are introduced to participate in the IDR; second, a dynamic pricing strategy is formulated to guide the charging of EVs in an orderly manner; finally, optimal scheduling of the IES is established to minimize the operating cost of the IES in the upper model and minimizing the total charging cost of the EVs in the lower model. The effectiveness of the proposed model is verified by setting multiple scenarios for comparison and analysis.

Anhui University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 77%
Smart Grid Energy Management
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