Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids

The power coordination control of a photovoltaic/battery microgrid is performed with a novel bio-computing model within the framework of membrane computing. First, a neural-like P system with state values (SVNPS) is proposed for describing complex logical relationships between different modes of Pho...

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Main Authors: Tao Wang, Jun Wang, Jun Ming, Zhang Sun, Chuanxiang Wei, Chun Lu, Mario J. Perez-Jimenez
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8434210/
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spelling doaj-640a2b3f21a0427fa9b8c5f83a6dbbad2021-03-29T21:19:25ZengIEEEIEEE Access2169-35362018-01-016466304664210.1109/ACCESS.2018.28651228434210Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery MicrogridsTao Wang0Jun Wang1https://orcid.org/0000-0003-3422-104XJun Ming2Zhang Sun3Chuanxiang Wei4Chun Lu5Mario J. Perez-Jimenez6School of Electrical Engineering and Electronic Information, Xihua University, Chengdu, ChinaSchool of Electrical Engineering and Electronic Information, Xihua University, Chengdu, ChinaState Grid Zigong Electric Power Supply Company, Zigong, ChinaSchool of Electrical Engineering and Electronic Information, Xihua University, Chengdu, ChinaState Grid Nanchong Electric Power Supply Company, Nanchong, ChinaCeit and Tecnun, University of Navarra, San Sebastian, SpainDepartment of Computer Science and Artificial Intelligence, Research Group on Natural Computing, University of Sevilla, Sevilla, SpainThe power coordination control of a photovoltaic/battery microgrid is performed with a novel bio-computing model within the framework of membrane computing. First, a neural-like P system with state values (SVNPS) is proposed for describing complex logical relationships between different modes of Photovoltaic (PV) units and energy storage units. After comparing the objects in the neurons with the thresholds, state values will be obtained to determine the configuration of the SVNPS. Considering the characteristics of PV/battery microgrids, an operation control strategy based on bus voltages of the point of common coupling and charging/discharging statuses of batteries is proposed. At first, the SVNPS is used to construct the complicated unit working modes; each unit of the microgrid can adjust the operation modes automatically. After that, the output power of each unit is reasonably coordinated to ensure the operation stability of the microgrid. Finally, a PV/battery microgrid, including two PV units, one storage unit, and some loads are taken into consideration, and experimental results show the feasibility and effectiveness of the proposed control strategy and the SVNPS-based power coordination control models.https://ieeexplore.ieee.org/document/8434210/Neural-like P systemstate valuemicrogridpower coordination
collection DOAJ
language English
format Article
sources DOAJ
author Tao Wang
Jun Wang
Jun Ming
Zhang Sun
Chuanxiang Wei
Chun Lu
Mario J. Perez-Jimenez
spellingShingle Tao Wang
Jun Wang
Jun Ming
Zhang Sun
Chuanxiang Wei
Chun Lu
Mario J. Perez-Jimenez
Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids
IEEE Access
Neural-like P system
state value
microgrid
power coordination
author_facet Tao Wang
Jun Wang
Jun Ming
Zhang Sun
Chuanxiang Wei
Chun Lu
Mario J. Perez-Jimenez
author_sort Tao Wang
title Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids
title_short Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids
title_full Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids
title_fullStr Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids
title_full_unstemmed Application of Neural-Like P Systems With State Values for Power Coordination of Photovoltaic/Battery Microgrids
title_sort application of neural-like p systems with state values for power coordination of photovoltaic/battery microgrids
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2018-01-01
description The power coordination control of a photovoltaic/battery microgrid is performed with a novel bio-computing model within the framework of membrane computing. First, a neural-like P system with state values (SVNPS) is proposed for describing complex logical relationships between different modes of Photovoltaic (PV) units and energy storage units. After comparing the objects in the neurons with the thresholds, state values will be obtained to determine the configuration of the SVNPS. Considering the characteristics of PV/battery microgrids, an operation control strategy based on bus voltages of the point of common coupling and charging/discharging statuses of batteries is proposed. At first, the SVNPS is used to construct the complicated unit working modes; each unit of the microgrid can adjust the operation modes automatically. After that, the output power of each unit is reasonably coordinated to ensure the operation stability of the microgrid. Finally, a PV/battery microgrid, including two PV units, one storage unit, and some loads are taken into consideration, and experimental results show the feasibility and effectiveness of the proposed control strategy and the SVNPS-based power coordination control models.
topic Neural-like P system
state value
microgrid
power coordination
url https://ieeexplore.ieee.org/document/8434210/
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