MOPSO-based multi-objective TSO planning considering uncertainties

Qi Wang, Chunyu Zhang, Yi Ding, Jacob Østergaard

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The concerns of sustainability and climate change have posed a significant growth of renewable energy associated with smart grid technologies. Various uncertainties are the major problems need to be handled by transmission system operator (TSO) planning. This paper mainly focuses on three uncertain factors, i.e. load growth, generation capacity and line faults, and aims to enhance the transmission system via the multi-objective TSO planning (MOTP) approach. The proposed MOTP approach optimizes three objectives simultaneously, namely the probabilistic available transfer capability (PATC), investment cost and power outage cost. A two-phase MOPSO algorithm is employed to solve this optimization problem, which can accelerate the convergence and guarantee the diversity ofPareto-optimal front set as well. The feasibility and effectiveness of both the proposed multi-objective planning approach and the improved MOPSO have been verified by the 77-bus system.
Original languageEnglish
Title of host publicationProceedings of IEEE PES ISGT Europe 2014:
Number of pages5
Publication date2014
Publication statusPublished - 2014
EventIEEE PES ISGT Europe 2014: 5th IEEE PES Innovative Smart Grid Technologies (ISGT) European 2014 Conference - Istanbul Technical University, Istanbul, Turkey
Duration: 12 Oct 201415 Oct 2014


ConferenceIEEE PES ISGT Europe 2014
LocationIstanbul Technical University


  • Multi-objective TSO planning
  • Uncertainties
  • Smart grid
  • Two-phase MOPSO


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