An Environmental-Economic Dispatch Method for Smart Microgrids Using VSS_QGA
The increasing penetration of distributed generation resources demands better economic performance of microgrids under the smart-grid era. In this paper, a comprehensive environmental-economic dispatch method for smart microgrids is proposed, with the objective for minimizing the summation of genera...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/623216 |
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| _version_ | 1849403136001703936 |
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| author | Wenxia Liu Yuying Zhang Bo Zeng Shuya Niu Jianhua Zhang Yong Xiao |
| author_facet | Wenxia Liu Yuying Zhang Bo Zeng Shuya Niu Jianhua Zhang Yong Xiao |
| author_sort | Wenxia Liu |
| collection | DOAJ |
| description | The increasing penetration of distributed generation resources demands better economic performance of microgrids under the smart-grid era. In this paper, a comprehensive environmental-economic dispatch method for smart microgrids is proposed, with the objective for minimizing the summation of generation and emission costs in the system. As the proposed model belongs to a large-scale nonlinear and nonconvex programming problem, a hybrid heuristic algorithm, named variable step-size chaotic fuzzy quantum genetic algorithm (VSS_QGA), is developed. The algorithm utilizes complementarity among multiple techniques including the variable step size optimization, the rotation mutational angle fuzzy control, and the quantum genetic algorithm and combines them so as to solve problems with superior accuracy and efficiency. The effectiveness of the proposed model is demonstrated through a case study on an actual microgrid system and the advantages in the performance of VSS_QGA is also verified through the comparison with genetic algorithm (GA), the evolutionary programming approach (EP), the quantum genetic algorithm (QGA), and the chaotic quantum genetic algorithm (CQGA). |
| format | Article |
| id | doaj-art-939b3c54895b4ce385c8c3d9f935f844 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-939b3c54895b4ce385c8c3d9f935f8442025-08-20T03:37:20ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/623216623216An Environmental-Economic Dispatch Method for Smart Microgrids Using VSS_QGAWenxia Liu0Yuying Zhang1Bo Zeng2Shuya Niu3Jianhua Zhang4Yong Xiao5Transmission and Distribution System Research Institute, North China Electric Power University, Number 2 Beinong Road, Changping District, Beijing 102206, ChinaTransmission and Distribution System Research Institute, North China Electric Power University, Number 2 Beinong Road, Changping District, Beijing 102206, ChinaTransmission and Distribution System Research Institute, North China Electric Power University, Number 2 Beinong Road, Changping District, Beijing 102206, ChinaTransmission and Distribution System Research Institute, North China Electric Power University, Number 2 Beinong Road, Changping District, Beijing 102206, ChinaTransmission and Distribution System Research Institute, North China Electric Power University, Number 2 Beinong Road, Changping District, Beijing 102206, ChinaGuizhou Electric Power Test Research Institute, China Southern Power Grid, Number 32 Jiefang Road, Nanming District, Guiyang 550000, ChinaThe increasing penetration of distributed generation resources demands better economic performance of microgrids under the smart-grid era. In this paper, a comprehensive environmental-economic dispatch method for smart microgrids is proposed, with the objective for minimizing the summation of generation and emission costs in the system. As the proposed model belongs to a large-scale nonlinear and nonconvex programming problem, a hybrid heuristic algorithm, named variable step-size chaotic fuzzy quantum genetic algorithm (VSS_QGA), is developed. The algorithm utilizes complementarity among multiple techniques including the variable step size optimization, the rotation mutational angle fuzzy control, and the quantum genetic algorithm and combines them so as to solve problems with superior accuracy and efficiency. The effectiveness of the proposed model is demonstrated through a case study on an actual microgrid system and the advantages in the performance of VSS_QGA is also verified through the comparison with genetic algorithm (GA), the evolutionary programming approach (EP), the quantum genetic algorithm (QGA), and the chaotic quantum genetic algorithm (CQGA).http://dx.doi.org/10.1155/2014/623216 |
| spellingShingle | Wenxia Liu Yuying Zhang Bo Zeng Shuya Niu Jianhua Zhang Yong Xiao An Environmental-Economic Dispatch Method for Smart Microgrids Using VSS_QGA Journal of Applied Mathematics |
| title | An Environmental-Economic Dispatch Method for Smart Microgrids Using VSS_QGA |
| title_full | An Environmental-Economic Dispatch Method for Smart Microgrids Using VSS_QGA |
| title_fullStr | An Environmental-Economic Dispatch Method for Smart Microgrids Using VSS_QGA |
| title_full_unstemmed | An Environmental-Economic Dispatch Method for Smart Microgrids Using VSS_QGA |
| title_short | An Environmental-Economic Dispatch Method for Smart Microgrids Using VSS_QGA |
| title_sort | environmental economic dispatch method for smart microgrids using vss qga |
| url | http://dx.doi.org/10.1155/2014/623216 |
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