| 引用本文: | 舒杰,张先勇,沈玉梁,吴昌宏.可再生能源分布式微网电源规划方法及应用[J].控制理论与应用,2010,27(5):675~680.[点击复制] |
| SHU Jie,ZHANG Xian-yong,SHEN Yu-liang,WU Chang-hong.The algorithm and application in power sources planning and designing for micro-grid based on distributed renewable energy[J].Control Theory and Technology,2010,27(5):675~680.[点击复制] |
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| 可再生能源分布式微网电源规划方法及应用 |
| The algorithm and application in power sources planning and designing for micro-grid based on distributed renewable energy |
| 摘要点击 2435 全文点击 2105 投稿时间：2009-09-14 修订日期：2010-03-16 |
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| DOI编号 |
| 2010,27(5):675-680 |
| 中文关键词 微网 遗传算法 电源模型 算法实现 |
| 英文关键词 micro-grid genetic algorithm model of power sources implementation algorithm |
| 基金项目 广东省自然科学基金资助项目(8151007006000005). |
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| 中文摘要 |
| 近年来, 可再生能源分布式发电微网技术研究引起国内外广泛关注. 本论文将遗传算法应用到风–光–柴–蓄组成的可再生能源分布式微网电源规划中, 建立微网电源规划模型及相关约束条件, 以满足能量平衡控制、费效率等为最优原则, 给出了算法的实现流程. 最后, 结合案例说明了算法的应用. |
| 英文摘要 |
| Micro-grid power sources of renewable energy are hot topics in recent researches. A genetic algorithm is applied to plan and design the micro-grid power sources composed of wind turbines, solar PV’s, storage batteries and diesel generators. Based on the balance in electric energy demand and the cost-benefit ratio, we develop a model for micro-grid power sources, and put forward a strategy for its implementation. Applications show desirable results of the proposed strategy. |
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