基于人工智能的配网自动化优化策略

Automation Optimization Strategy of Distribution Network Based on Artificial Intelligence

电力系统中的配电网在现代能源基础设施中占据重要地位,为满足不断增长的电力需求和可持续发展目标,配电网的自动化和优化至关重要。提出一种基于人工智能的配网自动化优化策略。该策略通过数据采集与分析,机器学习模型和优化算法的结合,实现了电力系统的智能化管理。该策略的实施旨在提高配电网的可靠性,降低运营成本,并促进可持续能源集成。通过仿真和实验验证,证明了该策略在电力系统自动化方面的潜在价值,为未来能源分布系统的发展提供了有力支持。

Distribution grids in power systems occupy an important position in modern energy infrastructure,and automation and optimization of distribution grids are crucial in order to meet the growing demand for electricity and sustainable development goals.The article proposes an artificial intelligence-based optimization strategy for distribution network automation.The strategy achieves intelligent management of the power system through a combination of data acquisition and analysis,machine learning models,and optimization algorithms.The strategy is implemented and the study aims to improve the reliability of the distribution network,reduce operational costs,and promote sustainable energy integration.Through simulation and experimental validation,the potential value of this strategy in power system automation is demonstrated,providing strong support for the development of future energy distribution systems.