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Application of Robust Optimization Algorithms to Wind Power Systems
- 1 Yangon University
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Abstract
In the current context of global energy structure transformation and climate change response, the development and utilisation of wind power, as a kind of clean and renewable energy, has received extensive attention. However, the intermittency and uncertainty associated with wind power present challenges to its stability and reliability in power system scheduling. This paper provides an in-depth analysis of the application of robust optimization algorithms in wind power systems, focusing on how these algorithms can enhance the efficiency and stability of wind power within power systems. This paper discusses the specific methods of robust optimisation algorithms for solving problems in wind power systems from various perspectives. For example, by constructing a robust optimisation model that takes into account the uncertainty of wind power output, the scheduling flexibility and economy of the wind power system can be effectively improved. At the same time, the application of robust optimisation algorithms is analysed in terms of improving the anti-interference capability of wind power systems, optimising the combination of wind turbines, grid integration and wind farm planning, and improving the accuracy of wind power forecasts. The effectiveness of the algorithms in solving the problems encountered in the scheduling of wind power systems is analysed, and the challenges and opportunities for future development are discussed.
Keywords
Robust Optimisation, Wind Power Systems, Power System Scheduling
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Cite this article
Zhang,J. (2025). Application of Robust Optimization Algorithms to Wind Power Systems. Theoretical and Natural Science,86,8-14.
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Volume title: Proceedings of the 4th International Conference on Computing Innovation and Applied Physics
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