Analytic Hierarchy Process Algorithm Applied to Battery Energy Storage System Selection for Grid Applications

被引:3
|
作者
Oening, Ana Paula [1 ]
Marcilio, Debora Cintia [1 ]
de Andrade, Juliano [1 ]
Impinnisi, Patricio Rodolfo [1 ]
机构
[1] Inst Technol Dev LACTEC, Curitiba, Parana, Brazil
关键词
Battery Energy Storage; Brazilian Power Grids; Peak Shaving; Voltage-Sags Smoothing; Multicriteria decision-making Algorithm; Analytic Hierarchy Process; Battery Technology Selection;
D O I
10.1590/1678-4324-75years-2021210148
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Brazilian Power Sector is preparing the introduction of battery energy storage in its distribution lines for energy quality control. The technical and financial viability of this new technology depends on several factors: battery technologies, geographical locations, environmental restrictions and the local regulation. One of the objectives of the present project was to create a methodology for helping technicians to choose the best battery technology for each particular application. The Analytic Hierarchy Process - AHP algorithm was selected to take into account all the above-mentioned factors. This methodology was applied to a case study considering four different commercially available battery energy storage systems (BESS) and the methodology was able to recommend the best choice by taking into account all the criteria and subcriteria considered. The second objective of the present project is to evaluate a real hybrid BESS operation composed of two different battery technologies. Up to the moment when this paper was submitted the BESS has not been installed yet. The installation place has already been selected, a feeder-line with 1,360 kW peak power, and monitored for energy quality. The BESS has been sized, a 250 kW/1 MWh flow battery together with a 250 kW/500 kWh lithium-ion battery and the purchase process has been initiated. Both battery technologies will work in separate and joint operations for power quality in on-grid and island cases.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Research on Super-capacitor and Battery Hybrid Energy Storage System applied in Micro-grid
    Tao Weiqing
    Sun Wen
    Du Chen
    2012 INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING AND COMMUNICATION TECHNOLOGY (ICCECT 2012), 2012, : 157 - 160
  • [43] Applying Analytic Hierarchy Process to Supplier Selection
    Zajarosova, Marketa
    Kauerova, Lenka
    MANAGING AND MODELLING OF FINANCIAL RISKS: 7TH INTERNATIONAL SCIENTIFIC CONFERENCE, PTS I-III, 2014, : 873 - 879
  • [44] Using the Analytic Hierarchy Process for LMS selection
    Petrova, Valentina
    COMPUTER SYSTEMS AND TECHNOLOGIES, 2019, : 332 - 336
  • [45] Evaluation of grid-level adaptability for stationary battery energy storage system applications in Europe
    Mueller, Marcus
    Viernstein, Lorenz
    Cong Nam Truong
    Eiting, Andreas
    Hesse, Holger C.
    Witzmann, Rolf
    Jossen, Andreas
    JOURNAL OF ENERGY STORAGE, 2017, 9 : 1 - 11
  • [46] Analytic hierarchy process for hospital site selection
    Sahin, Tezcan
    Ocak, Saffet
    Top, Mehmet
    HEALTH POLICY AND TECHNOLOGY, 2019, 8 (01) : 42 - 50
  • [47] GIS Based Fuzzy Analytic Hierarchy Process for wind Energy Sites Selection
    Elmahmoudi, Fatma
    Abra, Oum Elkheir
    Raihani, Abdelhadi
    Serrar, Ouafae
    Bahatti, Lhousine
    2019 INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGIES AND NETWORKING (COMMNET), 2019, : 168 - 175
  • [48] An Analytic Hierarchy Process for Selecting Battery Equalization Methods
    de Alcantara Dias, Bruno Martin
    da Silva, Cynthia Thamires
    Araujo, Rui Esteves
    de Castro, Ricardo
    Pellini, Eduardo Lorenzetti
    Pinto, Claudio
    Maria Lagana, Armando Antonio
    ENERGIES, 2022, 15 (07)
  • [49] Kolmogorov-Arnold networks for algorithm design in battery energy storage system applications
    Zequera, Rolando Antonio Gilbert
    Rassolkin, Anton
    Vaimann, Toomas
    Kallaste, Ants
    ENERGY REPORTS, 2025, 13 : 2664 - 2677
  • [50] Applied Research of Battery Energy Storage in Grid-connected Photovoltaic Power
    Shi, Tao
    Cui, Hongfen
    Huang, Ruanming
    2012 WORLD AUTOMATION CONGRESS (WAC), 2012,