[1]Li Jiahua,Malembo,Wang Xingwei,et al.A Novel Multi-objective Artificial Bee Colony Algorithm for Microgrid Energy Dispatching Model[J].Journal of Zhengzhou University (Engineering Science),2018,39(06):50-58.[doi:10.13705/j.issn.1671-6833.2018.06.020]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
39
Number of periods:
2018 06
Page number:
50-58
Column:
Public date:
2018-10-24
- Title:
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A Novel Multi-objective Artificial Bee Colony Algorithm for Microgrid Energy Dispatching Model
- Author(s):
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Li Jiahua 1; Malembo 1; Wang Xingwei 1; Cheng Shi 2; Shao Yichuan 3
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1. School of Software, Northeastern University; 2. School of Computer Science, Shaanxi Normal University; 3. School of Information Engineering, Shenyang University
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- Keywords:
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National Natural Science Foundation of China (6177021519; 61503373); Central Fundamental Research Fund (N161705001)
- CLC:
-
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- DOI:
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10.13705/j.issn.1671-6833.2018.06.020
- Abstract:
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Aiming at the optimization of the energy in microgrid, a bi-objective optimization model for economic and environmental operations of the microgrid systems was proposed. Then this model was assessed based on the evaluation results of the dispatching system. To be specific, in order to optimize this model, a novel multi-objective artificial bee colony algorithm called ICABC was decised, based on crowding-distance with performance indicators. This algorithm incorporated an external archive (EA) to preserve non-dominated solutions; and a novel crowding-distance method called DICC was used to maintain the diversity of solutions. DICC was essentially a updated version of traditional crowding-distance strategy in NSGA-II. It amied to avoid the removal of elite individuals in dense areas effectively while enhance the diversity of obtained non-dominated solutions, With rigor expermental evaluations on a set of benchmark problems, it showed that ICABC had more powerful performance compared with NSCA-II and MOCLPSO. Then, ICABC was applied to resolve the proposed model for dynamic dispatching of microgrid with muliple distributed generations. Simulation results exhibited that the proposed method and model effectively reduced the total system cost by rationally arranging the output of the distributed generations.