Bi-level optimal dispatch in the Virtual Power Plant considering uncertain agents number
In smart grid, virtual power plant (VPP) is a novel solution to Distributed Energy Resources (DER) in the power grid. Same for traditional power plants, VPP should provide electricity generation to power grid according to the command electricity generation coming from power grid control center. Diff...
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| Veröffentlicht in: | Neurocomputing (Amsterdam) Jg. 167; S. 551 - 557 |
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| Sprache: | Englisch |
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Elsevier B.V
01.11.2015
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| ISSN: | 0925-2312, 1872-8286 |
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| Abstract | In smart grid, virtual power plant (VPP) is a novel solution to Distributed Energy Resources (DER) in the power grid. Same for traditional power plants, VPP should provide electricity generation to power grid according to the command electricity generation coming from power grid control center. Different from traditional power plants, VPP controls geographically distributed DER agents, which aggregate various local DER, such as small-scale engines, turbines or storages. Moreover, the number of DER Agents in VPP probably changes in pace with DER Agents plug in and plug out. In this paper, a distributed optimization algorithm is projected to solve VPP bi-level optimal dispatch considering uncertain agents number. Simulation results show that the proposed algorithm can effectively solve bi-level optimal dispatch with changing lower agents. |
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| AbstractList | In smart grid, virtual power plant (VPP) is a novel solution to Distributed Energy Resources (DER) in the power grid. Same for traditional power plants, VPP should provide electricity generation to power grid according to the command electricity generation coming from power grid control center. Different from traditional power plants, VPP controls geographically distributed DER agents, which aggregate various local DER, such as small-scale engines, turbines or storages. Moreover, the number of DER Agents in VPP probably changes in pace with DER Agents plug in and plug out. In this paper, a distributed optimization algorithm is projected to solve VPP bi-level optimal dispatch considering uncertain agents number. Simulation results show that the proposed algorithm can effectively solve bi-level optimal dispatch with changing lower agents. |
| Author | Cao, Jinde Fei, Shumin Yu, Jie Wang, Xiaolong Jiao, Yiping |
| Author_xml | – sequence: 1 givenname: Jie orcidid: 0000-0002-6370-7834 surname: Yu fullname: Yu, Jie organization: School of Electrical Engineering, Southeast University, Nanjing 210096, China – sequence: 2 givenname: Yiping surname: Jiao fullname: Jiao, Yiping organization: School of Automation, Southeast University, Nanjing 210096, China – sequence: 3 givenname: Xiaolong surname: Wang fullname: Wang, Xiaolong organization: School of Automation, Southeast University, Nanjing 210096, China – sequence: 4 givenname: Jinde surname: Cao fullname: Cao, Jinde organization: Department of Mathematics, Southeast University, Nanjing 210096, China – sequence: 5 givenname: Shumin surname: Fei fullname: Fei, Shumin organization: School of Automation, Southeast University, Nanjing 210096, China |
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| Keywords | Uncertain agents number Distributed optimization algorithm Virtual Power Plant (VPP) Bi-level optimal dispatch Hierarchical control architecture |
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| Title | Bi-level optimal dispatch in the Virtual Power Plant considering uncertain agents number |
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