Optimisation-based switch allocation to improve energy losses and service restoration in radial electrical distribution systems
This study presents a new methodology for the optimal allocation of switching devices in radial electrical distribution systems (EDSs). A specialised greedy randomised adaptive search procedure (GRASP) algorithm defines the location of a number of switching devices in order to simultaneously improve...
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| Published in: | IET generation, transmission & distribution Vol. 10; no. 11; pp. 2792 - 2801 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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The Institution of Engineering and Technology
04.08.2016
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| ISSN: | 1751-8687, 1751-8695 |
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| Abstract | This study presents a new methodology for the optimal allocation of switching devices in radial electrical distribution systems (EDSs). A specialised greedy randomised adaptive search procedure (GRASP) algorithm defines the location of a number of switching devices in order to simultaneously improve the following optimisation subproblems related to the use of the allocated switches: (i) the optimal reconfiguration of EDS and (ii) the optimal service restoration of EDS. Eventually, the objective function of the proposed switch allocation algorithm minimises the cost of the total expected energy not supplied, computed after deploying the service restoration, plus the cost of the total annual energy loss computed for every load level in a year, plus the investment costs associated with the number of installed switches. Both optimisation subproblems, i.e. the reconfiguration and the restoration of EDS, are represented by mixed-integer non-linear programming (MINLP) models and transformed into mixed-integer linear programming (MILP) models, using linearisation strategies. MILP models guarantee convergence to optimality by using convex optimisation techniques. Finally, all tests were carried out using a real 136-node distribution system, considering dispatchable and non-dispatchable distributed generation resources. |
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| AbstractList | This study presents a new methodology for the optimal allocation of switching devices in radial electrical distribution systems (EDSs). A specialised greedy randomised adaptive search procedure (GRASP) algorithm defines the location of a number of switching devices in order to simultaneously improve the following optimisation subproblems related to the use of the allocated switches: (i) the optimal reconfiguration of EDS and (ii) the optimal service restoration of EDS. Eventually, the objective function of the proposed switch allocation algorithm minimises the cost of the total expected energy not supplied, computed after deploying the service restoration, plus the cost of the total annual energy loss computed for every load level in a year, plus the investment costs associated with the number of installed switches. Both optimisation subproblems, i.e. the reconfiguration and the restoration of EDS, are represented by mixed-integer non-linear programming (MINLP) models and transformed into mixed-integer linear programming (MILP) models, using linearisation strategies. MILP models guarantee convergence to optimality by using convex optimisation techniques. Finally, all tests were carried out using a real 136-node distribution system, considering dispatchable and non-dispatchable distributed generation resources. |
| Author | Franco, John Fredy Rider, Marcos J López, Juan Camilo |
| Author_xml | – sequence: 1 givenname: Juan Camilo surname: López fullname: López, Juan Camilo organization: 1Faculdade de Engenharia Engenharia Elétrica e Computação, Departamento de Sistemas de Energia Elétrica, UNICAMP – Universidade Estadual de Campinas, Campinas, São Paulo, Brazil – sequence: 2 givenname: John Fredy surname: Franco fullname: Franco, John Fredy organization: 2Faculdade de Engenharia de Ilha Solteira, Departamento de Engenharia Elétrica, UNESP – Universidade Estadual Paulista, Ilha Solteira, São Paulo, Brazil – sequence: 3 givenname: Marcos J surname: Rider fullname: Rider, Marcos J email: mjrider@dsee.fee.unicamp.br organization: 1Faculdade de Engenharia Engenharia Elétrica e Computação, Departamento de Sistemas de Energia Elétrica, UNICAMP – Universidade Estadual de Campinas, Campinas, São Paulo, Brazil |
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| Copyright | The Institution of Engineering and Technology 2016 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology |
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| Keywords | cost minimisation integer programming nondispatchable DG resource dispatchable DG resource linear programming distributed power generation radial electrical distribution system power generation economics linearisation strategy 136-node distribution system MILP model EDS optimal service restoration convex optimisation tools search problems cost reduction optimisation subproblem linearisation techniques greedy algorithms optimisation-based switch allocation convex programming power distribution economics randomised algorithms investment cost power generation dispatch switch allocation algorithm objective function power distribution reliability energy loss improvement mixed integer nonlinear programming model EDS optimal reconfiguration mixed integer linear programming model power system restoration greedy randomised adaptive search procedure algorithm |
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Power Syst. – year: 2008 – year: 2004 – volume: 79 start-page: 1171 issue: 7 year: 2009 end-page: 1178 article-title: Multiobjective optimal placement of switches and protective devices in electric power distribution systems using ant colony optimization publication-title: Electr. Power Syst. Res. – volume: 30 start-page: 545 issue: 2 year: 2015 end-page: 552 article-title: Multiobjective optimization algorithm for switch placement in radial power distribution networks publication-title: IEEE Trans. Power Deliv. – volume: 11 start-page: 1646 issue: 3 year: 1996 end-page: 1651 article-title: Optimal switching device placement in radial distribution systems publication-title: IEEE Trans. Power Deliv. – volume: 30 start-page: 246 issue: 1 year: 2015 end-page: 253 article-title: Switch allocation problems in power distribution systems publication-title: IEEE Trans. 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| Snippet | This study presents a new methodology for the optimal allocation of switching devices in radial electrical distribution systems (EDSs). A specialised greedy... |
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| SubjectTerms | 136‐node distribution system Algorithms Allocations convex optimisation tools convex programming Cost engineering cost minimisation cost reduction Devices dispatchable DG resource distributed power generation EDS optimal reconfiguration EDS optimal service restoration energy loss improvement greedy algorithms greedy randomised adaptive search procedure algorithm integer programming investment cost linear programming linearisation strategy linearisation techniques MILP model mixed integer linear programming model mixed integer nonlinear programming model nondispatchable DG resource optimisation subproblem optimisation‐based switch allocation Optimization power distribution economics power distribution reliability power generation dispatch power generation economics power system restoration radial electrical distribution system randomised algorithms Regular Papers search problems Service restoration switch allocation algorithm objective function Switches Switching |
| Title | Optimisation-based switch allocation to improve energy losses and service restoration in radial electrical distribution systems |
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