| 基于虚拟储能的微网风光储容量优化配置方法研究 |
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| 引用本文： | 程韧俐,梁顺,傅强,程维杰,何晓峰,李梦月.基于虚拟储能的微网风光储容量优化配置方法研究[J].可再生能源,2021(3). |
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| 作者姓名： | 程韧俐 梁顺 傅强 程维杰 何晓峰 李梦月 |
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| 作者单位： | 深圳供电局有限公司;南瑞集团（国网电力科学研究院）有限公司;国电南瑞科技股份有限公司;南京师范大学电气与自动化工程学院 |
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| 基金项目： | 中国南方电网有限责任公司科技项目(090000KK52170077);国家自然科学基金项目(51607093)。 |
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| 摘 要： | 风光储互补发电系统能够提高微网系统的稳定性。为了提升微网储能资源的合理配置,文章基于虚拟储能和电力弹簧概念,提出了计及主配储能协同的微网风光储容量双层优化配置方法,并利用改进的粒子群算法对风光储容量双层优化配置方法求解。最后,通过算例分析表明,文章配置方法提高了微网系统调节能力,降低了电压偏移率。
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| 关 键 词： | 风光储互补发电系统 微网 优化配置 |
Research on optimal configuration method of microgrid storage capacity based on virtual energy storage |
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| Cheng Renli,Liang Shun,Fu Qiang,Cheng Weijie,He Xiaofeng,Li Mengyue.Research on optimal configuration method of microgrid storage capacity based on virtual energy storage[J].Renewable Energy,2021(3). |
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| Authors: | Cheng Renli Liang Shun Fu Qiang Cheng Weijie He Xiaofeng Li Mengyue |
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| Affiliation: | (Shenzhen Power Supply Co.,Ltd.,Shenzhen 518001,China;NARI Group(State Electric Research Institute)Co.,LTD,Nanjing 211106,China;NARI Technology Development Co.,LTD,Nanjing 211106,China;Nanjing Normal University(School of Electrical and Automation Engineering),Nanjing 210042,China) |
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| Abstract: | In order to improve the reliability of microgrid operation and the stability of renewable energy generation,wind and solar storage complementary power generation system has been extensively studied.The optimal configuration method of the wind and light storage capacity can provide a basis for the planning and construction of the microgrid system.In order to improve the rational allocation of microgrid energy storage resources,a virtual energy storage is proposed based on microgrid wind storage capacity optimization configuration method.First,introduce the distributed virtual energy storage concept based on electric spring herein.Then considering the synergy with the centralized energy storage device,a two-layer optimal configuration method of micro-grid storage capacity considering the coordination of main energy storage is proposed.Finally,the effectiveness of the method is proved by a case study. |
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| Keywords: | wind-solar-storage complementary power generation system microgrid optimal configuration |
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