4.7 Article

Improved power flow management with proposed fuzzy integrated hybrid optimized fractional order cascaded proportional derivative filter (1+proportional integral) controller in hybrid microgrid systems

期刊

ISA TRANSACTIONS
卷 136, 期 -, 页码 742-754

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2022.11.005

关键词

Power management system; Battery management system; Hybrid modified sine cosine; algorithm-pattern search algorithm; HFFOC PDF (1+PI) controller; Real-time implementation

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The primary goal of power management in a hybrid microgrid is to maintain the active power balance among renewable energy sources, energy storage system, and loads. This paper proposes an improved power management scheme by introducing a novel controller named hybrid fuzzy integrated fractional order cascaded proportional derivative filter, which is implemented in the voltage-controlled loop of a bi-directional dc-dc converter. The proposed controller aims to achieve optimum power flow management, improve voltage stabilization, and enhance system dynamic response.
The primary goal of power management in a hybrid microgrid is to maintain the active power balance among renewable energy sources, energy storage system, and loads. In a HMG system, an ESS is required to reduce power fluctuations caused by the intermittent behavior of RESs. A bi-directional dc-dc converter has been used to connect a battery to the dc bus. This paper proposes an improved power management scheme where a novel controller named as hybrid fuzzy integrated fractional order cascaded proportional derivative filter (1+proportional integral) is designed and implemented in a voltage-controlled loop of the BDC. This controller is introduced in this work to achieve optimum power flow management improves voltage stabilization, and enhances the system dynamic response. A hybrid modified sine cosine algorithm-pattern search algorithm is implemented here to tune the parameters of the proposed controller. The extensive time-domain analysis and robustness studies of the proposed controller have been performed and compared with the other conventional control methods Variable solar irradiance, solar temperature, wind speed, and load are used to test the effectiveness of proposed power management strategy. The proposed power management scheme with several case studies has been performed in MATLAB/Simulink and also validated through a Real-time digital platform (Opal-RT). (c) 2022 ISA. Published by Elsevier Ltd. All rights reserved.

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