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AI技术在电力系统发展中的应用与前景

Application and Prospect of AI Technology in Power System Development

  • 摘要:
      目的  在现阶段能源紧缺和碳减排双重压力下,以电为中心的清洁能源转型势在必行,在此背景下,电力系统的稳定性、运行管理自动化、智能化将是电力系统发展的必然选择,而人工智能(AI)技术则是实现这一目标的关键手段之一。
      方法  首先介绍了国内外电力系统碳排放情况,并在此基础上指出了中国电力系统低碳发展的困局及可行的解决方案,继而论述了AI技术在电力系统发展中的应用与前景。
      结果  针对低碳、低能耗电力系统转型,提出了火电行业资本和资源整合、碳捕集技术应用等低碳改造,以及促进清洁能源消纳、平稳替代等一系列电力系统低碳发展路线,并指出在能源转型背景下,AI技术将成为电力系统自动化、智能化平稳运行的关键,能够广泛应用于电力调度、继电保护、电力设备管理、电力系统稳定评估与决策等电力系统运行管理领域,具备广阔的应用前景。
      结论  随着第三代AI技术的不断优化甚至第四代AI技术的不断开发,未来其在电力系统中的应用将越来越广泛。

     

    Abstract:
      Introduction  In the face of energy scarcity and carbon reduction imperatives, the transition to clean energy centered on electricity is crucial. To achieve this, power system development must prioritize stability, automation and intelligence. Artificial intelligence (AI) technology is a key means to realize this goal.
      Method  This paper introduced the carbon emissions of domestic and foreign power systems at first, and pointed out the difficulties and feasible solutions for low-carbon development of the power system in China on this basis. Then, the application and prospect of AI technology in power system development were discussed.
      Result  In response to the transition to low-carbon and low-energy power systems, a series of low-carbon development routes, such as integration of capital and resources in the thermal power industry, low-carbon transition (such as the application of carbon capture technology), and promoting the consumption of and smooth replacement by clean energy, were proposed in this paper. It was also noted that AI technology will play a crucial role in automating, intelligentizing and optimizing power systems, with wide-ranging applications in power dispatching, relay protection, power equipment management, power system stability evaluation, and decision-making processes.
      Conclusion  As third-generation AI technology continues to evolve and fourth-generation AI technology emerges, the application of AI technology in the power system will become increasingly widespread.

     

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