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Macro Analysis of Renewable Energy Impacting on the Electric Power Future Market in the World

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Published:24 March 2019Publication History

ABSTRACT

In the recent years, with the development of green finance, investors and government pay more attention to the renewable energy development all over the world. As main part of usable energy, electricity industry will certainly be affected deeply by renewable energy in the future. This paper tries to give a macro analysis about how the electric power future market impacted by the renewable energy and suggests that Arbitraging and speculation for investors and financial institutions in the short term is supposed to operated according to the production of fossil energy based power generation and the demand of electricity related to industry development and economic situation. In the medium and long term, if renewable energy based power generation develops into majority, in the short-term fluctuation, position ought to be bought in accordance with weather and climate forecast; in the long-term price movements, position should be bought before major technical research results in renewable energy based power generation.

References

  1. Energy Information Administration. 2016. International Energy Outlook 2016.U.S. Washington, USA.Google ScholarGoogle Scholar
  2. Mora-Florez J, Melendez J, Carrillo-Caicedo G. 2008. Comparison of impedance based fault location methods for power distribution systems. Electric Power Systems Research, 78(4): 657--666.Google ScholarGoogle ScholarCross RefCross Ref
  3. REN21 Community. 2016. Renewables 2016 Global Status Report. Paris, France.Google ScholarGoogle Scholar
  4. BP Statistical Review of World Energy, BP p.l.c., London, UK, 2016.Google ScholarGoogle Scholar
  5. Renewables 2016 Global Status Report Key Findings, REN21 Community, Paris, France, 2016.Google ScholarGoogle Scholar
  6. Bretas A S, Salim R H. 2006. Fault location in unbalanced DG systems using the positive sequence apparent impedance. IEEE Power Transmission Distribution Conference. Latin America, 1--6.Google ScholarGoogle ScholarCross RefCross Ref
  7. Nunes JUN, Bretas A S. 2010. Impedance-based fault location formulation for unbalanced primary distribution systems with distributed generation. Power System Technology Conference. Hangzhou, 24--28.Google ScholarGoogle ScholarCross RefCross Ref
  8. Luo Chaowei, Hua Fen & Shen Hongyan. 2011.Research and implementation of Intelligent Power system fault isolation strategies. Microcomputer information, 27(4): 177--179 (in Chinese).Google ScholarGoogle Scholar
  9. Liu Chen-Ching. 2004. Strategic Power Infrastructure Defense. IEEE Power Engineering Society General Meeting, USA.Google ScholarGoogle Scholar
  10. Wang Mingjun. 2007. Self-Healing Grid and Distributed Energy Resource. Power System Technology, 31(6): 1--7 (in Chinese).Google ScholarGoogle Scholar
  11. Liu Ming & He Guangyu, Shen Chen, et al. 2006. Brief introduction to the IECSA project. Automation of Electric Power Systems, 30 (13): 99--104 (in Chinese).Google ScholarGoogle Scholar
  12. Wang Mingjun. 2005. Hidden failure, vulnerability and adaptability of relaying automations in large interconnected power systems. Electric Power Automation Equipment, 5(3): 1--4(in Chinese).Google ScholarGoogle Scholar

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  1. Macro Analysis of Renewable Energy Impacting on the Electric Power Future Market in the World

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      ICCMB '19: Proceedings of the 2019 2nd International Conference on Computers in Management and Business
      March 2019
      92 pages
      ISBN:9781450361682
      DOI:10.1145/3328886

      Copyright © 2019 ACM

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      New York, NY, United States

      Publication History

      • Published: 24 March 2019

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