Intelligent control technology for a smart power plant

Lei Pan

Chapter 9 in The Elgar Companion to Energy and Sustainability, 2024, pp 151-169 from Edward Elgar Publishing

Abstract: The increasing penetration of renewable energy towards carbon neutrality requires strong operation flexibility for thermal power plant. It brings great challenges to conventional control systems due to nonlinearity, time-varying parameters, and unknown uncertainties in fast-ramping and wide-range operations. Artificial intelligence (AI) will help accelerate the energy transition by means like optimizing power plant operation. This chapter conducts research and review on mainstream AI approaches in smart power plant, including mega data processing, deep-learning identification, different intelligent control and load dispatching methods under uncertainty. It shows the studying and technique development paths of intelligent control system for thermal power plant, providing a variety of AI measures for effectively dealing with numerous emerging external and internal influences to the safe and efficient operation of power plants towards carbon neutrality. A wealth of examples on thermodynamic process illustrates the effectiveness of the AI methodology presented in this chapter.

Keywords: Business and Management; Development Studies; Economics and Finance; Environment; Geography; Innovations and Technology; Law - Academic; Politics and Public Policy Sustainable Development Goals (search for similar items in EconPapers)
Date: 2024
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