IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v66y2016icp584-595.html
   My bibliography  Save this article

Role of spatial analysis technology in power system industry: An overview

Author

Listed:
  • Shafiullah, Md
  • Rahman, Syed Masiur
  • Mortoja, Md. Golam
  • Al-Ramadan, Baqer

Abstract

Power system networks are the largest and most complex systems ever devised by human being. The networks are associated with huge amount of investments where the success of the sector heavily depends on appropriate planning and management. Spatial analysis technologies play very important role in planning, monitoring, and managing of the network by comprehensively considering social, environmental, and economic issues. Spatial analysis, the heart of geographic information systems (GIS) provide an integrated platform for proper management and planning of power systems. The major role of GIS technology includes: (i) developing spatial model for power generating stations, transmission networks, and distribution substations; (ii) determining suitable locations for power generation and distribution stations, and optimal routing of transmission networks; and (iii) integrating renewable energy resources with the planning and management system. Parallel to GIS, global positioning systems (GPS) has introduced new dimensions in spatial research because of its increasing availability with reduced price. The integration of GPS in data measurement techniques made a paradigm shift in (i) monitoring of the power system network with time synchronized data and (ii) finding fault locations as well as taking corrective actions with better accuracy. This paper investigates the evolutionary role of GIS and GPS technologies in different components of power system networks. These technologies are expected to provide a smart and promising platform for integrating virtually all the relevant information and systems required to develop and maintain a sustainable power system networks at local, national, regional, and global levels.

Suggested Citation

  • Shafiullah, Md & Rahman, Syed Masiur & Mortoja, Md. Golam & Al-Ramadan, Baqer, 2016. "Role of spatial analysis technology in power system industry: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 584-595.
    • Handle: RePEc:eee:rensus:v:66:y:2016:i:c:p:584-595
    DOI: 10.1016/j.rser.2016.08.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032116304312
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2016.08.017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sadeghi, Behnam & Khalajmasoumi, Masoumeh, 2015. "A futuristic review for evaluation of geothermal potentials using fuzzy logic and binary index overlay in GIS environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 818-831.
    2. ., 2016. "Growth and distribution: the last 300 years," Chapters, in: Inequality, Growth and ‘Hot’ Money, chapter 2, pages 16-30, Edward Elgar Publishing.
    3. Larentis, Dante G. & Collischonn, Walter & Olivera, Francisco & Tucci, Carlos E.M., 2010. "Gis-based procedures for hydropower potential spotting," Energy, Elsevier, vol. 35(10), pages 4237-4243.
    4. Peng, Zuoxiang & Li, Chunqiao & Nadarajah, Saralees, 2016. "Extremal properties of the skew-t distribution," Statistics & Probability Letters, Elsevier, vol. 112(C), pages 10-19.
    5. Monforti, F. & Bódis, K. & Scarlat, N. & Dallemand, J.-F., 2013. "The possible contribution of agricultural crop residues to renewable energy targets in Europe: A spatially explicit study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 666-677.
    6. Grassi, Stefano & Chokani, Ndaona & Abhari, Reza S., 2012. "Large scale technical and economical assessment of wind energy potential with a GIS tool: Case study Iowa," Energy Policy, Elsevier, vol. 45(C), pages 73-85.
    7. van Haaren, Rob & Fthenakis, Vasilis, 2011. "GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3332-3340, September.
    8. Wright, Evelyn & Kanudia, Amit, 2014. "Low carbon standard and transmission investment analysis in the new multi-region US power sector model FACETS," Energy Economics, Elsevier, vol. 46(C), pages 136-150.
    9. Sánchez-Lozano, Juan M. & Teruel-Solano, Jerónimo & Soto-Elvira, Pedro L. & Socorro García-Cascales, M., 2013. "Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 544-556.
    10. Hong, Taehoon & Koo, Choongwan & Park, Joonho & Park, Hyo Seon, 2014. "A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system," Energy, Elsevier, vol. 65(C), pages 190-199.
    11. Byrnes, Liam & Brown, Colin & Foster, John & Wagner, Liam D., 2013. "Australian renewable energy policy: Barriers and challenges," Renewable Energy, Elsevier, vol. 60(C), pages 711-721.
    12. Sultana, Arifa & Kumar, Amit, 2012. "Optimal siting and size of bioenergy facilities using geographic information system," Applied Energy, Elsevier, vol. 94(C), pages 192-201.
    13. Palomino Cuya, Daly Grace & Brandimarte, Luigia & Popescu, Ioana & Alterach, Julio & Peviani, Maximo, 2013. "A GIS-based assessment of maximum potential hydropower production in La Plata basin under global changes," Renewable Energy, Elsevier, vol. 50(C), pages 103-114.
    14. Siyal, Shahid Hussain & Mörtberg, Ulla & Mentis, Dimitris & Welsch, Manuel & Babelon, Ian & Howells, Mark, 2015. "Wind energy assessment considering geographic and environmental restrictions in Sweden: A GIS-based approach," Energy, Elsevier, vol. 83(C), pages 447-461.
    15. Latinopoulos, D. & Kechagia, K., 2015. "A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece," Renewable Energy, Elsevier, vol. 78(C), pages 550-560.
    16. Aydin, Nazli Yonca & Kentel, Elcin & Duzgun, Sebnem, 2010. "GIS-based environmental assessment of wind energy systems for spatial planning: A case study from Western Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 364-373, January.
    17. Mekonnen, Addisu D. & Gorsevski, Pece V., 2015. "A web-based participatory GIS (PGIS) for offshore wind farm suitability within Lake Erie, Ohio," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 162-177.
    18. Chang, Keh-Chin & Lin, Wei-Min & Leu, Tzong-Shyng & Chung, Kung-Ming, 2016. "Perspectives for solar thermal applications in Taiwan," Energy Policy, Elsevier, vol. 94(C), pages 25-28.
    19. Brewer, Justin & Ames, Daniel P. & Solan, David & Lee, Randy & Carlisle, Juliet, 2015. "Using GIS analytics and social preference data to evaluate utility-scale solar power site suitability," Renewable Energy, Elsevier, vol. 81(C), pages 825-836.
    20. Simsek, Hayal Ayca & Simsek, Nevzat, 2013. "Recent incentives for renewable energy in Turkey," Energy Policy, Elsevier, vol. 63(C), pages 521-530.
    21. Shay, Elizabeth & Combs, Tabitha S. & Findley, Daniel & Kolosna, Carl & Madeley, Michelle & Salvesen, David, 2016. "Identifying transportation disadvantage: Mixed-methods analysis combining GIS mapping with qualitative data," Transport Policy, Elsevier, vol. 48(C), pages 129-138.
    22. Tomaschek, Jan & Kober, Ralf & Fahl, Ulrich & Lozynskyy, Yuriy, 2016. "Energy system modelling and GIS to build an Integrated Climate Protection Concept for Gauteng Province, South Africa," Energy Policy, Elsevier, vol. 88(C), pages 445-455.
    23. ., 2016. "Growth and distribution: the Kaleckian perspective," Chapters, in: Inequality, Growth and ‘Hot’ Money, chapter 3, pages 31-73, Edward Elgar Publishing.
    24. Kucuksari, Sadik & Khaleghi, Amirreza M. & Hamidi, Maryam & Zhang, Ye & Szidarovszky, Ferenc & Bayraksan, Guzin & Son, Young-Jun, 2014. "An Integrated GIS, optimization and simulation framework for optimal PV size and location in campus area environments," Applied Energy, Elsevier, vol. 113(C), pages 1601-1613.
    25. ., 2016. "The distribution formulae of IFTs for REDD+," Chapters, in: Intergovernmental Fiscal Transfers, Forest Conservation and Climate Change, chapter 8, pages 134-158, Edward Elgar Publishing.
    26. Xydis, George A. & Nanaki, Evanthia A. & Koroneos, Christopher J., 2013. "Low-enthalpy geothermal resources for electricity production: A demand-side management study for intelligent communities," Energy Policy, Elsevier, vol. 62(C), pages 118-123.
    27. Defne, Zafer & Haas, Kevin A. & Fritz, Hermann M., 2011. "GIS based multi-criteria assessment of tidal stream power potential: A case study for Georgia, USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2310-2321, June.
    28. El-Karmi, Fawwaz Z. & Abu-Shikhah, Nazih M., 2013. "The role of financial incentives in promoting renewable energy in Jordan," Renewable Energy, Elsevier, vol. 57(C), pages 620-625.
    29. Hashim, Haslenda & Ho, Wai Shin, 2011. "Renewable energy policies and initiatives for a sustainable energy future in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4780-4787.
    30. Gastli, Adel & Charabi, Yassine, 2010. "Solar electricity prospects in Oman using GIS-based solar radiation maps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 790-797, February.
    31. Dutra, Ricardo & Szklo, Alexandre, 2008. "Assessing long-term incentive programs for implementing wind power in Brazil using GIS rule-based methods," Renewable Energy, Elsevier, vol. 33(12), pages 2507-2515.
    32. Dutra, Ricardo Marques & Szklo, Alexandre Salem, 2008. "Incentive policies for promoting wind power production in Brazil: Scenarios for the Alternative Energy Sources Incentive Program (PROINFA) under the New Brazilian electric power sector regulation," Renewable Energy, Elsevier, vol. 33(1), pages 65-76.
    33. Sánchez-García, Sandra & Canga, Elena & Tolosana, Eduardo & Majada, Juan, 2015. "A spatial analysis of woodfuel based on WISDOM GIS methodology: Multiscale approach in Northern Spain," Applied Energy, Elsevier, vol. 144(C), pages 193-203.
    34. Sánchez-Lozano, Juan M. & Henggeler Antunes, Carlos & García-Cascales, M. Socorro & Dias, Luis C., 2014. "GIS-based photovoltaic solar farms site selection using ELECTRE-TRI: Evaluating the case for Torre Pacheco, Murcia, Southeast of Spain," Renewable Energy, Elsevier, vol. 66(C), pages 478-494.
    35. Hu, Ming-Che & Huang, An-Lei & Wen, Tzai-Hung, 2013. "GIS-based biomass resource utilization for rice straw cofiring in the Taiwanese power market," Energy, Elsevier, vol. 55(C), pages 354-360.
    36. Omitaomu, Olufemi A. & Blevins, Brandon R. & Jochem, Warren C. & Mays, Gary T. & Belles, Randy & Hadley, Stanton W. & Harrison, Thomas J. & Bhaduri, Budhendra L. & Neish, Bradley S. & Rose, Amy N., 2012. "Adapting a GIS-based multicriteria decision analysis approach for evaluating new power generating sites," Applied Energy, Elsevier, vol. 96(C), pages 292-301.
    37. Kaundinya, Deepak Paramashivan & Balachandra, P. & Ravindranath, N.H. & Ashok, Veilumuthu, 2013. "A GIS (geographical information system)-based spatial data mining approach for optimal location and capacity planning of distributed biomass power generation facilities: A case study of Tumkur distric," Energy, Elsevier, vol. 52(C), pages 77-88.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zambrano-Asanza, S. & Quiros-Tortos, J. & Franco, John F., 2021. "Optimal site selection for photovoltaic power plants using a GIS-based multi-criteria decision making and spatial overlay with electric load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    2. Rodrigues, João L. & Bolognesi, Hugo M. & Melo, Joel D. & Heymann, Fabian & Soares, F.J., 2019. "Spatiotemporal model for estimating electric vehicles adopters," Energy, Elsevier, vol. 183(C), pages 788-802.
    3. Md Shafiullah & M. A. Abido & Md Ismail Hossain & A. H. Mantawy, 2018. "An Improved OPP Problem Formulation for Distribution Grid Observability," Energies, MDPI, vol. 11(11), pages 1-16, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ali, Shahid & Taweekun, Juntakan & Techato, Kuaanan & Waewsak, Jompob & Gyawali, Saroj, 2019. "GIS based site suitability assessment for wind and solar farms in Songkhla, Thailand," Renewable Energy, Elsevier, vol. 132(C), pages 1360-1372.
    2. Shao, Meng & Han, Zhixin & Sun, Jinwei & Xiao, Chengsi & Zhang, Shulei & Zhao, Yuanxu, 2020. "A review of multi-criteria decision making applications for renewable energy site selection," Renewable Energy, Elsevier, vol. 157(C), pages 377-403.
    3. Baseer, M.A. & Rehman, S. & Meyer, J.P. & Alam, Md. Mahbub, 2017. "GIS-based site suitability analysis for wind farm development in Saudi Arabia," Energy, Elsevier, vol. 141(C), pages 1166-1176.
    4. Sofia Spyridonidou & Dimitra G. Vagiona, 2020. "Systematic Review of Site-Selection Processes in Onshore and Offshore Wind Energy Research," Energies, MDPI, vol. 13(22), pages 1-26, November.
    5. Sánchez-Lozano, J.M. & García-Cascales, M.S. & Lamata, M.T., 2014. "Identification and selection of potential sites for onshore wind farms development in Region of Murcia, Spain," Energy, Elsevier, vol. 73(C), pages 311-324.
    6. Gigović, Ljubomir & Pamučar, Dragan & Božanić, Darko & Ljubojević, Srđan, 2017. "Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia," Renewable Energy, Elsevier, vol. 103(C), pages 501-521.
    7. Höfer, Tim & Sunak, Yasin & Siddique, Hafiz & Madlener, Reinhard, 2016. "Wind farm siting using a spatial Analytic Hierarchy Process approach: A case study of the Städteregion Aachen," Applied Energy, Elsevier, vol. 163(C), pages 222-243.
    8. Yushchenko, Alisa & de Bono, Andrea & Chatenoux, Bruno & Kumar Patel, Martin & Ray, Nicolas, 2018. "GIS-based assessment of photovoltaic (PV) and concentrated solar power (CSP) generation potential in West Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2088-2103.
    9. Sabo, Mahmoud Lurwan & Mariun, Norman & Hizam, Hashim & Mohd Radzi, Mohd Amran & Zakaria, Azmi, 2017. "Spatial matching of large-scale grid-connected photovoltaic power generation with utility demand in Peninsular Malaysia," Applied Energy, Elsevier, vol. 191(C), pages 663-688.
    10. Garegnani, Giulia & Sacchelli, Sandro & Balest, Jessica & Zambelli, Pietro, 2018. "GIS-based approach for assessing the energy potential and the financial feasibility of run-off-river hydro-power in Alpine valleys," Applied Energy, Elsevier, vol. 216(C), pages 709-723.
    11. Marco Rogna, 2019. "A First-Phase Screening Device for Site Selection of Large-Scale Solar Plants with an Application to Italy," BEMPS - Bozen Economics & Management Paper Series BEMPS57, Faculty of Economics and Management at the Free University of Bozen.
    12. Rogna, Marco, 2020. "A first-phase screening method for site selection of large-scale solar plants with an application to Italy," Land Use Policy, Elsevier, vol. 99(C).
    13. Cunden, Tyagaraja S.M. & Doorga, Jay & Lollchund, Michel R. & Rughooputh, Soonil D.D.V., 2020. "Multi-level constraints wind farms siting for a complex terrain in a tropical region using MCDM approach coupled with GIS," Energy, Elsevier, vol. 211(C).
    14. Anwarzai, Mohammad Abed & Nagasaka, Ken, 2017. "Utility-scale implementable potential of wind and solar energies for Afghanistan using GIS multi-criteria decision analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 150-160.
    15. David Severin Ryberg & Martin Robinius & Detlef Stolten, 2018. "Evaluating Land Eligibility Constraints of Renewable Energy Sources in Europe," Energies, MDPI, vol. 11(5), pages 1-19, May.
    16. Sofia Spyridonidou & Georgia Sismani & Eva Loukogeorgaki & Dimitra G. Vagiona & Hagit Ulanovsky & Daniel Madar, 2021. "Sustainable Spatial Energy Planning of Large-Scale Wind and PV Farms in Israel: A Collaborative and Participatory Planning Approach," Energies, MDPI, vol. 14(3), pages 1-23, January.
    17. Mentis, Dimitrios & Siyal, Shahid Hussain & Korkovelos, Alexandros & Howells, Mark, 2016. "A geospatial assessment of the techno-economic wind power potential in India using geographical restrictions," Renewable Energy, Elsevier, vol. 97(C), pages 77-88.
    18. Shao, Meng & Zhao, Yuanxu & Sun, Jinwei & Han, Zhixin & Shao, Zhuxiao, 2023. "A decision framework for tidal current power plant site selection based on GIS-MCDM: A case study in China," Energy, Elsevier, vol. 262(PB).
    19. Mekonnen, Addisu D. & Gorsevski, Pece V., 2015. "A web-based participatory GIS (PGIS) for offshore wind farm suitability within Lake Erie, Ohio," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 162-177.
    20. Saraswat, S.K. & Digalwar, Abhijeet K. & Yadav, S.S. & Kumar, Gaurav, 2021. "MCDM and GIS based modelling technique for assessment of solar and wind farm locations in India," Renewable Energy, Elsevier, vol. 169(C), pages 865-884.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:66:y:2016:i:c:p:584-595. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.