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http://hdl.handle.net/10397/93956
Title: | Multiple group search optimization based on decomposition for multi-objective dispatch with electric vehicle and wind power uncertainties | Authors: | Zhang, X Chan, KW Wang, H Zhou, B Wang, G Qiu, J |
Issue Date: | 15-Mar-2020 | Source: | Applied energy, 15 Mar. 2020, v. 262, 114507 | Abstract: | While the number of plug-in electric vehicles (PEVs) increases rapidly, the application potential of PEVs should be accounted in electric power dispatch with several conflicting and competing objectives such as providing vehicle-to-grid (V2G) service or coordinating with wind power. To solve this highly constrained multi-objective optimization problem (MOOP), a multiple group search optimization based on decomposition (MGSO/D) is proposed considering the uncertainties of PEVs and wind power. Specifically, the decomposition approach effectively reduces the computational complexity, and the innovatively incorporated producer-scrounger model effectively improves the diversity and spanning of the Pareto-optimal front (PF). Meanwhile, the estimation error punishment is utilized to take into account of uncertainties. The performance of MGSO/D and the effectiveness of the uncertainty model are investigated on the IEEE 30-bus and 118-bus system with wind farms and PEV aggregators. Simulation results demonstrate the superiority of MGSO/D to solve this MOOP with practical uncertainties by comparing with well-established Pareto heuristic methods. | Keywords: | Multi-objective optimization Multiple group search optimization based on decomposition Pareto-optimal front Plug-in electric vehicles |
Publisher: | Pergamon Press | Journal: | Applied energy | ISSN: | 0306-2619 | EISSN: | 1872-9118 | DOI: | 10.1016/j.apenergy.2020.114507 | Rights: | © 2020 Elsevier Ltd. All rights reserved. © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. The following publication Zhang, X., Chan, K. W., Wang, H., Zhou, B., Wang, G., & Qiu, J. (2020). Multiple group search optimization based on decomposition for multi-objective dispatch with electric vehicle and wind power uncertainties. Applied Energy, 262, 114507 is available at https://doi.org/10.1016/j.apenergy.2020.114507. |
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