Research Article
Research on the Power Transformation Method of Renewable Energy in Industrial Park Based on Improved Genetic Algorithm
@INPROCEEDINGS{10.4108/eai.15-12-2023.2345329, author={Xuejun Li and Dong Qiu and Zhuxiu Wang and Boyang Chen and Yongcheng Liu}, title={Research on the Power Transformation Method of Renewable Energy in Industrial Park Based on Improved Genetic Algorithm}, proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={PMBDA}, year={2024}, month={5}, keywords={improving genetic algorithm; industrial park; renewable energy power; transformation method}, doi={10.4108/eai.15-12-2023.2345329} }- Xuejun Li
Dong Qiu
Zhuxiu Wang
Boyang Chen
Yongcheng Liu
Year: 2024
Research on the Power Transformation Method of Renewable Energy in Industrial Park Based on Improved Genetic Algorithm
PMBDA
EAI
DOI: 10.4108/eai.15-12-2023.2345329
Abstract
The transformation of renewable energy power in industrial park, as an important measure to improve energy efficiency, optimize energy application structure, and implement the social concept of green environmental protection development. Then, the research on the transformation method of renewable energy power in industrial parks based on the improved genetic algorithm, Focusing on considering the current methods of energy management in integrated energy systems, By building the operating model of renewable energy systems, Construct the efficiency and economic model of the key components in the system, And based on the operation and maintenance of energy equipment and the energy conversion cost of the industrial park and the main network, Establish an objective function of the cost of generating electricity from renewable energy sources, After improving the coding method of energy management time sequence problem, Proposed a new optimization algorithm for renewable energy in industrial parks, So as to verify the implementation and effectiveness of the content of this study.