| 大规模风电下基于模糊场景聚类的网储协调规划方法 |
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| 引用本文： | 宋福龙,吴洲洋,张艳,王坤宇,艾欣.大规模风电下基于模糊场景聚类的网储协调规划方法[J].电力自动化设备,2018,38(2). |
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| 作者姓名： | 宋福龙 吴洲洋 张艳 王坤宇 艾欣 |
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| 作者单位： | 国网经济技术研究院有限公司，北京102209,华北电力大学 新能源电力系统国家重点实验室，北京102206,国网经济技术研究院有限公司，北京102209,华北电力大学 新能源电力系统国家重点实验室，北京102206,华北电力大学 新能源电力系统国家重点实验室，北京102206 |
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| 基金项目： | 国家重点研发计划项目(2016YFB0900500)；国家电网公司科技项目(张北可再生能源柔性直流送出与消纳示范工程设计关键技术研究)；国家电网公司管理咨询项目(全球电网互联效益评估研究及技术发展路线需求研究) |
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| 摘 要： | 受限于已有的电网水平,新建成的风电场难以将大量风电送出。从电网规划建设的角度出发,基于风电就地消纳与跨区消纳结合的思路,通过为风电接入配置储能系统、在现有电网基础上扩展线路构建风电消纳的通道,以现有风电和负荷数据为基础,利用模糊聚类方法提取运行场景的时空特性,提出了扩展规划的多目标优化模型,并利用改进粒子群优化算法进行求解。通过仿真算例从成本、网损、弃风量3个角度验证了规划方案的可行性。
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| 关 键 词： | 输电网扩展规划 风电消纳 模糊C-均值聚类 粒子群优化算法 多目标优化 协调规划 |
| 收稿时间： | 2017/1/23 0:00:00 |
| 修稿时间： | 2017/12/5 0:00:00 |
Fuzzy scene clustering based grid-energy storage coordinated planning method with large-scale wind power |
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| SONG Fulong,WU Zhouyang,ZHANG Yan,WANG Kunyu and AI Xin.Fuzzy scene clustering based grid-energy storage coordinated planning method with large-scale wind power[J].Electric Power Automation Equipment,2018,38(2). |
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| Authors: | SONG Fulong WU Zhouyang ZHANG Yan WANG Kunyu and AI Xin |
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| Affiliation: | State Grid Economic and Technological Research Institute Co.,Ltd.,Beijing 102209, China,State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China,State Grid Economic and Technological Research Institute Co.,Ltd.,Beijing 102209, China,State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China and State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China |
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| Abstract: | Limited by the existing grid level, the large amount of power of new built wind farms is hard to transmit. From the perspective of grid planning and construction, the ways of wind power consumption are built by allocating energy storage for wind power and extending line construction of the existing grid based on the idea of combining local consumption with cross-district consumption. Based on the existing wind power and load data, the time-space characteristics of operating scenarios are extracted by fuzzy clustering method, and the multi-objective optimization model of the expansion planning is proposed, which is solved by the improved particle swarm optimization algorithm. The feasibility of the planning scheme is verified by simulation examples from three aspects: cost, network loss and abandon wind. |
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| Keywords: | transmission expansion planning wind power consumption fuzzy C-means clustering particle swarm optimization algorithm multi-objective optimization coordinated planning |
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