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7 September 2022 Distributed coordination of integrated distribution network based on new energy uncertainty model
Yunhui Jia
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Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123290V (2022) https://doi.org/10.1117/12.2646942
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China
Abstract
It is possible for the distribution network to absorb large-scale distributed wind power resources. Through gas turbines and P2G, the uncertainty brought by wind power integration can be effectively solved, which can alleviate the gas pressure of the natural gas network. Wind power resources are referred to in this paper, and their error distribution is fitted. On this basis, the distributed optimization model of distribution network and gas distribution network is established, in which the uncertainty of wind power output is constrained by chance. The P2G and gas turbine are used as flexible and adjustable resources to deal with the uncertainty. Specifically, the nonlinear term in the model is linearized and solved by the CPLEX solver. A comparative analysis of specific cases is carried out. It is proved that the research content of this paper can realize more flexible and diversified means of system regulation, enhance the ability of the system to withstand uncertainty, and is conducive to the operation of the system under the influence of uncertainty.
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Yunhui Jia "Distributed coordination of integrated distribution network based on new energy uncertainty model", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123290V (7 September 2022); https://doi.org/10.1117/12.2646942
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KEYWORDS
Wind energy
Optimization (mathematics)
Wind turbine technology
Computer programming
Renewable energy
Control systems
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