33
views
1
recommends
+1 Recommend
1 collections
    1
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Multi-objective transmission reinforcement planning approach for analysing future energy scenarios in the Great Britain network

      , 1 , 1 , 1 , 2

      IET Generation, Transmission & Distribution

      The Institution of Engineering and Technology

      power transmission planning, costing, power transmission economics, maintenance engineering, power transmission lines, evolutionary computation, Pareto analysis, overhead line conductors, multiobjective transmission reinforcement planning approach, Great Britain transmission network, nondominated set identification, thermal capacity constraints, multicriteria problem, investment cost, annual constraint cost saving, annual incremental operation, maintenance cost, outage cost, annual line loss saving, reconductoring, strength Pareto evolutionary algorithm 2, economic impact, Gone Green scenario, national grid

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          A multi-objective transmission reinforcement planning framework has been designed to evaluate the effect of applying a future energy scenario to the Great Britain transmission network. This is achieved by examining the identified non-dominated set of transmission reinforcement plans, which alleviate thermal capacity constraints, for the multi-criteria problem of five objectives: investment cost, annual constraint cost saving, annual incremental operation and maintenance cost, outage cost and annual line loss saving. The framework is flexible and utilises a systematic algorithm to generate reinforcement plans and alter the associated reinforcements should they exacerbate thermal constraints; hence a pre-determined set of reinforcements is not required to evaluate a scenario. The reinforcements considered are line addition (single circuit and double circuit) and line upgrading through reconductoring. The Strength Pareto Evolutionary Algorithm 2 is utilised to explore varying locations, configurations and capacities of network reinforcement. The solutions produced achieve similar cost savings to solutions created by the transmission network owners, showing the suitability of the approach to provide a useful trade-off analysis of the objectives and to assess the network-related thermal and economic impact of future energy scenarios. Here, the framework is applied to the 2020 generation mix of the Gone Green scenario developed by National Grid.

          Related collections

          Most cited references 8

          • Record: found
          • Abstract: not found
          • Article: not found

          DC Power Flow Revisited

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Classification of publications and models on transmission expansion planning

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A Multi-Objective Framework for Transmission Expansion Planning in Deregulated Environments

                Bookmark

                Author and article information

                Contributors
                Journal
                IET-GTD
                IET Generation, Transmission & Distribution
                IET Gener. Transm. Distrib.
                The Institution of Engineering and Technology
                1751-8687
                1751-8695
                5 November 2015
                : 9
                : 14
                : 2060-2068
                Affiliations
                [1 ] Department of Electronic and Electrical Engineering, University of Strathclyde , Glasgow G1 1XW, UK
                [2 ] Smarter Grid Solutions , Corunna House, 39 Cadogan Street, Glasgow G2 7AB, UK
                Article
                IET-GTD.2014.0398 GTD.2014.0398.R2
                10.1049/iet-gtd.2014.0398

                This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)

                Product
                Funding
                Funded by: Engineering and Physical Sciences Research Council
                Award ID: EP/F022832/1
                Categories
                Research Articles

                Comments

                Comment on this article