Robust Optimization Method for Integrated Energy System Considering Uncertain Electricity Price

The complexity of distribution market, such as many participants and diversified price formation mechanism, makes it a big challenge to accurately describe the market operation and price fluctuation. In view of this, this study proposes a robust optimization strategy for integrated energy systems, f...

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Bibliographic Details
Published in2024 4th International Conference on Electronics, Circuits and Information Engineering (ECIE) pp. 308 - 312
Main Authors Wu, Junjian, Chen, Rongzhu, Qu, Hezuo, Lai, Huanhuan, Wu, Longdong, Meng, Jian
Format Conference Proceeding
LanguageEnglish
Published IEEE 24.05.2024
Subjects
distribution network
Distribution networks
Electricity
electricity price
Fluctuations
Focusing
integrated energy system
new energy
Optimization models
robust optimization
Systems operation
Uncertainty
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Summary:The complexity of distribution market, such as many participants and diversified price formation mechanism, makes it a big challenge to accurately describe the market operation and price fluctuation. In view of this, this study proposes a robust optimization strategy for integrated energy systems, focusing on the fairness of multi-party transactions in the distribution market. The strategy first constructs an electricity pricing model between the integrated energy system and the distribution network operators to determine the reasonable electricity selling price of the distribution network in the market environment. Then, based on this price, the envelope bound interval analysis method is used to quantify the price uncertainty, and a new robust optimization model of integrated energy system considering the fluctuation of electricity price is formed. The model is solved by dividing the problem into primary and secondary problems. The experimental results verify the effectiveness of the proposed electricity price model in practical application, and also show the specific impact of market price fluctuations on system operation.
DOI:10.1109/ECIE61885.2024.10627463