Fully distributed optimal automatic generation control for an islanded microgrids
文献类型：会议论文
| 作者 | Li ZW(李忠文) ; Zang CZ(臧传治); Zeng P(曾鹏); Yu HB(于海斌); Bian J(卞晶)
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| 出版日期 | 2016 |
| 会议名称 | 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) |
| 会议日期 | October 25-28, 2016 |
| 会议地点 | Xi'an, China |
| 关键词 | distributed algorithm droop control Microgrid multi-agent system (MAS) optimal automatic generation control (OAGC) |
| 页码 | 13-17 |
| 通讯作者 | 李忠文 |
| 中文摘要 | Microgrids (MGs) have been receiving more and more attention, as it can environmentally and reliably integrate intermittent renewable energy sources (RES). Conventionally, an islanded MG is controlled and optimized in a hierarchical strategy, i.e., primary droop control, second automatic generation control (AGC), and tertiary economic dispatch (ED). ED has large time-scale while AGC has small time-scale. Thus the gap between ED and AGC may decrease the economic efficiency of a MG. In this paper, a distributed optimal automatic generation control (OAGC) algorithm is proposed to integrate the gap between ED and AGC, i.e., the MG can realize AGC and ED at the same time. In order to implement the OAGC algorithm, each DG is assigned with an agent and the agents only require the local measurements and communicate with its neighbors. The proposed OAGC algorithm is fully distributed, which involves low costs related to modify the architecture of a MG and robust against single point failure. Simulation results demonstrate the effectiveness of the proposed algorithm. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-5090-5419-0 |
| WOS记录号 | WOS:000391237400004 |
| 源URL | [http://ir.sia.cn/handle/173321/19511]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 推荐引用方式 GB/T 7714 | Li ZW,Zang CZ,Zeng P,et al. Fully distributed optimal automatic generation control for an islanded microgrids[C]. 见:2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). Xi'an, China. October 25-28, 2016. |
入库方式： OAI收割
来源：沈阳自动化研究所
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