Economic Dispatch for Smart Buildings with Load Demand of High Volatility Based on Quasi-Quadratic Online Adaptive Dynamic Programming

Kairui Chen, Zhangmou Zhu and Jianhui Wang ()
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Kairui Chen: School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China
Zhangmou Zhu: School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China
Jianhui Wang: School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China

Mathematics, 2022, vol. 10, issue 24, 1-15

Abstract: In this paper, a quasi-quadratic online adaptive dynamic programming (QOADP) algorithm is proposed to realize optimal economic dispatch for smart buildings. Load demand of high volatility is considered, which is modeled by an uncontrollable state. To reduce residual errors of the approximation structure, a quasi-quadratic-form parametric structure was designed elaborately with a bias term to counteract effects of uncertainties. Based on action-dependent heuristic dynamic programming (ADHDP), an implementation of the QOADP algorithm is presented that involved obtaining optimal economic dispatch for smart buildings. Finally, hardware-in-loop (HIL) experiments were conducted, and the performance of the proposed QOADP algorithm is superior to that of two other typical algorithms.

Keywords: adaptive dynamic programming; smart buildings; economic dispatch; energy management systems (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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