Title: Application on energy storage and allocation decisions of smart grid based on RFPC algorithm

Authors: Zhixin Ou

Addresses: Department of Urban Rail Transit and Information Engineering, Anhui Communications Vocational and Technical College, Hefei, Anhui, 230051, China

Abstract: This paper presents a smart grid dispatching operation employing the real function predictive control (RFPC) algorithm that can effectively facilitate decision-making regarding the supply and distribution of electricity. Initially, an intelligent system is utilised to manage energy storage and distribution patterns. Subsequently, logical control rules are implemented to regulate errors. The integration of intelligent decision-making with energy storage yields a fusion effect in balancing stability and robustness. When integral variables undergo changes, the RFPC algorithm allows for adjustments. By comparing traditional proportional-integral-derivative (PID) control with logic control strategy, one can achieve optimal control. Finally, through the use of adaptive learning that involves the selection and comparison of strategies with neural networks, the logical control based on the RFPC operation can be refined. This leads to effective operation and maintenance of substations, including intelligent fault diagnosis and precise decision-making.

Keywords: smart grid; decision-making; energy storage and distribution; phase plane zoning; pan Boolean operation; logic control rules.

DOI: 10.1504/IJVSMT.2024.144096

International Journal of Vehicle Systems Modelling and Testing, 2024 Vol.18 No.4, pp.308 - 330

Received: 24 May 2024
Accepted: 22 Sep 2024
Published online: 27 Jan 2025 *

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