引用本文: | 陈奕斌,林基明,刘迪迪.微电网小区间的能量协作调度策略研究[J].电力系统保护与控制,2017,45(22):55-62.[点击复制] |
CHEN Yibin,LIN Jiming,LIU Didi.Research on energy cooperation scheduling strategy in residential micro-grids[J].Power System Protection and Control,2017,45(22):55-62[点击复制] |
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摘要: |
针对配备能量收集设备的多个微电网小区构成的能量管理系统。为充分利用多个微电网小区分布式能源,研究微电网小区之间的能量调度与能量协作问题,以最小化系统从传统电网购买的能量。本研究首先建立能量协作调度优化模型,允许微电网小区之间共享各自收集的能量,处理用户的弹性用电请求。在满足用户服务质量要求的前提下,最大化系统能效。基于此模型和目标,采用Lyapunov优化,提出了微电网小区实时能量协作调度算法。仿真结果表明,在该协作模型下所提算法能够以较低复杂度取得接近最优的性能和时延。 |
关键词: 能量收集 微电网 能量协作 能量调度 Layapunov优化 |
DOI:10.7667/PSPC161825 |
投稿时间:2016-11-03修订日期:2017-01-25 |
基金项目:国家自然科学基金(61362006,61371107);广西自然科学基金(2014GXNSFAA118387);认知无线电与信息处理省部共建教育部重点实验室开放基金(CRKL150204) |
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Research on energy cooperation scheduling strategy in residential micro-grids |
CHEN Yibin,LIN Jiming,LIU Didi |
(Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Guilin University of Electronic Technology, Guilin 541004, China;Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Guilin University of Electronic Technology, Guilin 541004, China;Wuzhou University, Wuzhou 543002, China) |
Abstract: |
The energy management system composed of several residential micro-grids equipped with energy harvesting devices is discussed. In order to make full use of the micro-grid distributed energy and minimize the energy that the energy management system purchased from power grid, the problem of energy dispatch and cooperation between two residential micro-grids is studied. In order to handle the user's elastic energy demand and maximize energy efficiency of the energy management system, this paper firstly establishes energy cooperation scheduling optimization model which allows the residential micro-grids to share the harvested energy. This paper proposes a method of energy cooperation scheduling for micro-grids by employing the Lyapunov optimization. Simulation results show that the proposed algorithm can both achieve the best performance and a low delay at the cost of marginally increased complexity. This work is supported by National Natural Science Foundation of China (No. 61362006 and No. 61371107), Natural Science Foundation of Guangxi Province (No. 2014GXNSFAA118387), and Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (No. CRKL150204). |
Key words: energy harvesting micro-grids energy cooperation energy scheduling Lyapunov optimization |