Distributed robust economic dispatch optimization for integrated electricity and natural gas systems

Yubing Liu; Guangkuo Gao; Wenhui Zhao

doi:10.1117/12.3015618

6 February 2024 Distributed robust economic dispatch optimization for integrated electricity and natural gas systems

Yubing Liu, Guangkuo Gao, Wenhui Zhao

Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 1297972 (2024) https://doi.org/10.1117/12.3015618
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China

Abstract

To deal with the shortage of fossil energy and environmental crisis, wind power generation is vigorously developed in the world, but its uncertainty threatens the safe operation of the power system. As gas turbines have fast start-stop and load regulation characteristics, they can effectively suppress the instability caused by wind turbines, so it is increasingly important for the power-gas system to operate in concert. In this paper, a multi-objective economic dispatch optimization model for the integration of power and natural gas systems with wind farms is considered under a stochastic environment, and a coupling constraint for the power-natural gas system is established. For considering the statistical significance, distribution robust optimization is introduced by the random variables in the model restricted to the set of second-order moment distributions. Since the multi-objective optimization is NP-hard, this paper improves the immune particle swarm algorithm and increases the acceptance probability of the solution. The numerical experimental results show that the distribution robust multi-objective model can effectively reduce the economic dispatch of the power-gas system.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yubing Liu, Guangkuo Gao, and Wenhui Zhao "Distributed robust economic dispatch optimization for integrated electricity and natural gas systems", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 1297972 (6 February 2024); https://doi.org/10.1117/12.3015618

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