Optimal Dispatching of Electric-Heat-Hydrogen Integrated Energy System Based on Stackelberg Game

The conflict of interest among entities in the integrated energy system (IES) is a challenge about operation decisions. An optimal scheduling model of electric-heat-hydrogen integrated energy system based on Stackelberg game is proposed. Firstly, an energy producer (EP) model is formulated which considers the full utilization of hydrogen energy. Secondly, the interaction of price information among EP, energy system operator (ESO) and load aggregator (LA) is analyzed. Considering the resource integration utility of load aggregators under demand response mechanisms, the payoff model of each entity in IES is established. Finally, a Stackelberg game model with ESO as the dominator, EP and LA as the followers is introduced. Genetic and quadratic programming algorithms (GA-QP) are used to solve the model. Taking a park-level IES in Northern China as an example, the effectiveness of this model in promoting the balance of interests among various entities is verified.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
DOI
https://doi.org/10.11930/j.issn.1004-9649.202310058
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimal Dispatching of Electric-Heat-Hydrogen Integrated Energy System Based on Stackelberg Game

SHILAP Revista de lepidopterología
Diverse Scientific and Economic Studies
article

Optimal Dispatching of Electric-Heat-Hydrogen Integrated Energy System Based on Stackelberg Game

article en

Abstract

The conflict of interest among entities in the integrated energy system (IES) is a challenge about operation decisions. An optimal scheduling model of electric-heat-hydrogen integrated energy system based on Stackelberg game is proposed. Firstly, an energy producer (EP) model is formulated which considers the full utilization of hydrogen energy. Secondly, the interaction of price information among EP, energy system operator (ESO) and load aggregator (LA) is analyzed. Considering the resource integration utility of load aggregators under demand response mechanisms, the payoff model of each entity in IES is established. Finally, a Stackelberg game model with ESO as the dominator, EP and LA as the followers is introduced. Genetic and quadratic programming algorithms (GA-QP) are used to solve the model. Taking a park-level IES in Northern China as an example, the effectiveness of this model in promoting the balance of interests among various entities is verified.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 48%
Diverse Scientific and Economic Studies
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