37
views
1
recommends
+1 Recommend
2 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Optimal energy storage system allocation and operation for improving wind power penetration

      research-article

      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

          In recent years, the energy storage system (ESS) has been demonstrated to be involved in many aspects of the integration of wind power. For ESS application, ESS allocation of the installation location, power rating, and energy rating is the first concern. Different from previous studies, this study emphasises the significance of the ESS operation in the study of ESS allocation. A bi-level-programming-based model is proposed to take the interaction of allocation and operation into consideration at the same time, with the external level optimising allocation and the internal level optimising operation. The complexity assessment and solution algorithm of the model is also discussed. Next, a genetic numerical algorithm is proposed to solve the bi-level model. The authors’ results were tested on a modified IEEE 39 bus system and a provincial regional power system to verify both the flexibility and applicability of the proposed model and algorithm. This model is useful for various types of ESS and provides a foundation for ESS application.

          Related collections

          Most cited references16

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

          Progress in electrical energy storage system: A critical review

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

            A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem

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

              Optimal Allocation of ESS in Distribution Systems With a High Penetration of Wind Energy

                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
                3 December 2015
                : 9
                : 16
                : 2672-2678
                Affiliations
                State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University , Beijing 100084, People's Republic of China
                Article
                IET-GTD.2014.1168 GTD.2014.1168.R1
                10.1049/iet-gtd.2014.1168
                f662d422-21e5-43a1-b585-040479072c0a

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

                History
                : 30 June 2014
                : 5 April 2015
                : 16 July 2015
                Funding
                Funded by: Science and Technology Projects of Hunan Electric Power Company
                Award ID: SGHN0000DKJS1300221
                Funded by: Ministry of Science and Technology of the People's Republic of China
                Award ID: 2012AA050207
                Funded by: Science and Technology Projects of Ningxia Electric Power Company
                Award ID: SGNX0000DKJS1400685
                Funded by: Science and Technology Projects of the State Grid Corporation of China
                Award ID: SGZJ0000BGJS1300438
                Categories
                Research Articles

                Computer science,Engineering,Artificial intelligence,Electrical engineering,Mechanical engineering,Renewable energy
                modified IEEE 39 bus system,optimal energy storage system allocation,external level optimising allocation,energy storage,complexity assessment,solution algorithm,bilevel-programming-based model,internal level optimising operation,optimisation,installation location,wind power penetration,wind power plants,provincial regional power system,genetic numerical algorithm,ESS allocation,power rating,energy rating

                Comments

                Comment on this article