Hierarchical Agent-Based Integrated Modelling Approach for Microgrids with Adoption of EVs and HRES
The large adoption of electric vehicles (EVs), hybrid renewable energy systems (HRESs), and the increasing of the loads shall bring significant challenges to the microgrid. The methodology to model microgrid with high EVs and HRESs penetrations is the key to EVs adoption assessment and optimized HRE...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/808549 |
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| _version_ | 1832566653176512512 |
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| author | Peng Han Jinkuan Wang Yan Li Yinghua Han |
| author_facet | Peng Han Jinkuan Wang Yan Li Yinghua Han |
| author_sort | Peng Han |
| collection | DOAJ |
| description | The large adoption of electric vehicles (EVs), hybrid renewable energy systems (HRESs), and the increasing of the loads shall bring significant challenges to the microgrid. The methodology to model microgrid with high EVs and HRESs penetrations is the key to EVs adoption assessment and optimized HRESs deployment. However, considering the complex interactions of the microgrid containing massive EVs and HRESs, any previous single modelling approaches are insufficient. Therefore in this paper, the methodology named Hierarchical Agent-based Integrated Modelling Approach (HAIMA) is proposed. With the effective integration of the agent-based modelling with other advanced modelling approaches, the proposed approach theoretically contributes to a new microgrid model hierarchically constituted by microgrid management layer, component layer, and event layer. Then the HAIMA further links the key parameters and interconnects them to achieve the interactions of the whole model. Furthermore, HAIMA practically contributes to a comprehensive microgrid operation system, through which the assessment of the proposed model and the impact of the EVs adoption are achieved. Simulations show that the proposed HAIMA methodology will be beneficial for the microgrid study and EV’s operation assessment and shall be further utilized for the energy management, electricity consumption prediction, the EV scheduling control, and HRES deployment optimization. |
| format | Article |
| id | doaj-art-efe358921c9646e8a690eaa4ed257f7e |
| 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-efe358921c9646e8a690eaa4ed257f7e2025-02-03T01:03:33ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/808549808549Hierarchical Agent-Based Integrated Modelling Approach for Microgrids with Adoption of EVs and HRESPeng Han0Jinkuan Wang1Yan Li2Yinghua Han3School of Information Science and Engineering, Northeastern University, Shenyang 066004, ChinaSchool of Information Science and Engineering, Northeastern University, Shenyang 066004, ChinaSchool of Information Science and Engineering, Northeastern University, Shenyang 066004, ChinaSchool of Information Science and Engineering, Northeastern University, Shenyang 066004, ChinaThe large adoption of electric vehicles (EVs), hybrid renewable energy systems (HRESs), and the increasing of the loads shall bring significant challenges to the microgrid. The methodology to model microgrid with high EVs and HRESs penetrations is the key to EVs adoption assessment and optimized HRESs deployment. However, considering the complex interactions of the microgrid containing massive EVs and HRESs, any previous single modelling approaches are insufficient. Therefore in this paper, the methodology named Hierarchical Agent-based Integrated Modelling Approach (HAIMA) is proposed. With the effective integration of the agent-based modelling with other advanced modelling approaches, the proposed approach theoretically contributes to a new microgrid model hierarchically constituted by microgrid management layer, component layer, and event layer. Then the HAIMA further links the key parameters and interconnects them to achieve the interactions of the whole model. Furthermore, HAIMA practically contributes to a comprehensive microgrid operation system, through which the assessment of the proposed model and the impact of the EVs adoption are achieved. Simulations show that the proposed HAIMA methodology will be beneficial for the microgrid study and EV’s operation assessment and shall be further utilized for the energy management, electricity consumption prediction, the EV scheduling control, and HRES deployment optimization.http://dx.doi.org/10.1155/2014/808549 |
| spellingShingle | Peng Han Jinkuan Wang Yan Li Yinghua Han Hierarchical Agent-Based Integrated Modelling Approach for Microgrids with Adoption of EVs and HRES Journal of Applied Mathematics |
| title | Hierarchical Agent-Based Integrated Modelling Approach for Microgrids with Adoption of EVs and HRES |
| title_full | Hierarchical Agent-Based Integrated Modelling Approach for Microgrids with Adoption of EVs and HRES |
| title_fullStr | Hierarchical Agent-Based Integrated Modelling Approach for Microgrids with Adoption of EVs and HRES |
| title_full_unstemmed | Hierarchical Agent-Based Integrated Modelling Approach for Microgrids with Adoption of EVs and HRES |
| title_short | Hierarchical Agent-Based Integrated Modelling Approach for Microgrids with Adoption of EVs and HRES |
| title_sort | hierarchical agent based integrated modelling approach for microgrids with adoption of evs and hres |
| url | http://dx.doi.org/10.1155/2014/808549 |
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