In the heart of China’s Xinjiang Uygur Autonomous Region, a complex terrain wind farm is set to benefit from a groundbreaking optimization method developed by researchers at the School of Electrical Engineering, Xinjiang University. Led by Liu Jiahui, the team has proposed a multi-objective optimization method for micro-site selection, assisted by a proxy model, which promises to revolutionize the way wind farms are designed and constructed in challenging terrains.
The team’s research, published in the Shanghai Jiaotong Daxue xuebao (Journal of Shanghai Jiao Tong University), tackles the long-standing issues of high difficulty and time-consuming micro-site optimization in complex terrains. By calculating the ruggedness index and numerically quantifying ground flatness, the researchers constrain points with excessive ruggedness, ensuring more accurate and efficient site selection.
One of the most significant aspects of this research is the establishment of a mathematical model for three-dimensional windy downward wake superposition calculation of power generation. This model, combined with a three-dimensional terrain collector line topology optimization agent model, has been verified to improve computing efficiency significantly. “The prediction accuracy of the proxy model demonstrates its ability to replace numerous calculations in collector line topology optimization,” explained Liu Jiahui, the lead author of the study.
The implications for the energy sector are substantial. By reducing the total cable laying length and decreasing construction costs, this multi-objective discrete state transfer algorithm assisted by the proxy model offers a more feasible and cost-effective layout for wind farms. “Our method not only optimizes annual power generation but also provides more feasible layout schemes,” added Liu.
The research team’s work is a testament to the potential of advanced algorithms and models in shaping the future of renewable energy. As the world continues to seek sustainable energy solutions, innovations like these will play a crucial role in overcoming the challenges posed by complex terrains and optimizing the efficiency of wind farms.
This study not only highlights the importance of multi-objective optimization in the design and construction of wind farms but also paves the way for future developments in the field. As the energy sector continues to evolve, the integration of advanced technologies and methodologies will be key to achieving sustainable and efficient energy solutions. The research conducted by Liu Jiahui and the team at Xinjiang University is a significant step in this direction, offering valuable insights and practical applications for the industry.