Energy Balance in a Standalone PV Battery Hybrid Generation System on Solar-Powered Aircraft Using the Model Predictive Control Method-Reference-Cited by-同舟云学术

Energy Balance in a Standalone PV Battery Hybrid Generation System on Solar-Powered Aircraft Using the Model Predictive Control Method

Published:2023-08-25 Issue:17 Volume:16 Page:6185
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Xu Tanqi¹²^ORCID,Lei Maojie¹²,Liu Wenzhu¹²,Meng Fanying¹²,Lv Dongxiang³,Hu Wentao³,Zhang Liping¹²,Li Chuan³,Liu Zhengxin¹²

Affiliation:

1. The Research Center for New Energy Technology, Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS), Shanghai 201800, China

2. University of the Chinese Academy of Sciences, Beijing 100049, China

3. The Eighteenth Research Institute of China Electronics Group, Tianjin 300384, China

Abstract

This paper proposes a battery state of charge (SOC)-based energy management strategy using hierarchical distributed model predictive control (HDMPC) for a standalone microgrid on solar-powered long-endurance aircraft. The microgrid was innovatively designed as a two-layer structure in which the first layer consists of a photovoltaic generation and battery storage system named the PV battery module (PBM). The second layer, named the microgrid subsystem (MGSS), consists of several PBMs, each of which supplies power to a specific DC load on the aircraft. The control system is divided into two levels: the grid-level model predictive control (MPC) and the converter-level MPC. The grid-level MPC adopts a distributed model predictive control strategy to obtain the reference power of each module. The converter-level MPC calculates the control variables of converters using a supervisory model predictive control (SMPC) strategy. The new microgrid structure and the proposed control strategy have improved the reliability of the energy system and increased its energy utilization rate.

Funder

Chinese Academy of Science

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Link

https://www.mdpi.com/1996-1073/16/17/6185/pdf

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