ADP is an algorithm for solving the optimal control of nonlinear systems. The algorithm uses an approximate structure to approximate the solution of the HJB equation for the optimal control strategy. As a learning control method that is very close to human brain intelligence, adaptive dynamic programming uses online and offline data to adaptively adjust the control strategy. Therefore, adaptive dynamic programming has become a research hotspot in the field of optimal control since its proposal and has been widely used in the field of integrated energy microgrids.

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Applications of ADP in IEMs Control

  • Guidong Zhang,
  • Jun Yuan,
  • Zhong Li,
  • Yun Zhang

摘要

ADP is an algorithm for solving the optimal control of nonlinear systems. The algorithm uses an approximate structure to approximate the solution of the HJB equation for the optimal control strategy. As a learning control method that is very close to human brain intelligence, adaptive dynamic programming uses online and offline data to adaptively adjust the control strategy. Therefore, adaptive dynamic programming has become a research hotspot in the field of optimal control since its proposal and has been widely used in the field of integrated energy microgrids.