Optimization of a Multi-Source System with Renewable Energy Based on Ontology

被引:15
|
作者
Saba, Djamel [1 ]
Laallam, Fatima Zohra [2 ]
Hadidi, Abd Elkader [1 ]
Berbaoui, Brahim [1 ]
机构
[1] CDER, URER MS, Unite Rech Energies Renouvelables Milieu Saharien, Adrar 01000, Algeria
[2] Univ Kasdi Merbah, Ouargla, Algeria
关键词
Optimization; Multi sources to renewable energy system; Reasoning system; Distributed system; Formal and common representation; Conditions weather; Sizing techniques; Domain ontology; Protege2000;
D O I
10.1016/j.egypro.2015.07.787
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This article presents a contribution to the optimization of a multi sources system with renewable energy system. Following the limits of conventional design methods in the reasoning aspect, also renewable energy hybrid systems are distributed nature, open and includes huge detail information needs a formal representation and a shared conceptualization by dynamic contribution to the change in weather conditions of installation site of hybrid system. We propose an approach based on hybridization between sizing techniques and ontology domain. The introduction of ontology in such systems allows the shared knowledge representation of a common area of a unit. Moreover, these will conceptualization of knowledge that can be updated without changing the system goals. The aim of the work presented in this paper is essentially the conceptualization of the ontology after the presentation of the proposed approach. "Protege2000" is used for editing the ontology. The purpose of this work is a knowledge base which contains a representation of all concepts and informational system details. (C) 2015 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:608 / 615
页数:8
相关论文
共 50 条
  • [21] Optimization of load allocation strategy of a multi-source energy system by means of dynamic programming
    Gambarotta, Agostino
    Morini, Mirko
    Pompini, Nicola
    Spina, Pier Ruggero
    69TH CONFERENCE OF THE ITALIAN THERMAL ENGINEERING ASSOCIATION, ATI 2014, 2015, 81 : 30 - 39
  • [22] Optimization of Multi-source Complementary Heating System Based on Model Predictive Control
    Lu, Yan
    Tin, Lu
    Du, Kai
    2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2023, : 1348 - 1354
  • [23] Robust MRAC Supervision of a Multi-source Renewable Energy System Using Fractional-Order Integrals
    Djebbri, Sihem
    Ladaci, Samir
    Metatla, Abderezzak
    Balaska, Hanane
    PROCEEDINGS 2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL SCIENCES AND TECHNOLOGIES IN MAGHREB (CISTEM), 2018, : 456 - 461
  • [24] Research on Multi-Source Data Integration Based on Ontology and Karma Modeling
    Yun, Hongyan
    He, Ying
    Lin, Li
    Wang, Xiaohong
    INTERNATIONAL JOURNAL OF INTELLIGENT INFORMATION TECHNOLOGIES, 2019, 15 (02) : 69 - 87
  • [25] Correction to: Recent Bibliography on the Optimization of Multi-source Energy Systems
    Amina Gabour
    Abderrezak Metatla
    Ridha Kelaiaia
    Farid Bourennani
    Adlen Kerboua
    Archives of Computational Methods in Engineering, 2021, 28 : 267 - 267
  • [26] Multi-source Energy Harvesting System for Sensor Nodes
    Garg, Neha
    Garg, Ritu
    ADVANCED INFORMATICS FOR COMPUTING RESEARCH, PT II, 2019, 956 : 282 - 293
  • [27] Control and optimal management of a multi-source energy system
    Alnejaili, T.
    Alibi, A.
    Chrifi-Alaoui, L.
    Mehdi, D.
    Sahraoui, H.
    Drid, S.
    2018 7TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC), 2018, : 164 - 168
  • [28] An Thermoelectric and RF Multi-Source Energy Harvesting System
    Chang, Chia-Lun
    Lee, Tai-Cheng
    2016 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT GREEN BUILDING AND SMART GRID (IGBSG), 2016, : 160 - 164
  • [29] Energy indicators based on multi-source data and participation
    Dalla Costa, Silvia
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-URBAN DESIGN AND PLANNING, 2013, 166 (01) : 24 - 33
  • [30] Modelling and control design of a multi-source renewable energy system with coupled DC/DC converters power compensation
    Djebbri S.
    Metatla A.
    Ladaci S.
    International Journal of Power and Energy Conversion, 2020, 11 (03) : 291 - 315