电工技术学报  2015, Vol. 30 Issue (15): 53-59    DOI:
电力系统及其自动化 |
基于变寿命模型的改善风电可调度性的电池储能容量优化
易 林, 娄素华, 吴耀武, 杨天蒙
强电磁工程与新技术国家重点实验室(华中科技大学) 武汉 430074
Optimal Battery Capacity Based on Lifetime Predicationfor Improving the Schedulability of the Wind Power
Yi Lin, Lou Suhua ,Wu Yaowu ,Yang Tianmeng
State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Huazhong University of Science and Technology Wuhan 430074 China
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摘要 基于风电接入技术准则和电网调度需求,对风电场日前调度功率值予以优化,并通过电池储能弥补实际风电出力与该调度参考值间的差值,从而改善风电的可调度性。从能量吞吐量角度出发,建立电池储能实际使用寿命评估模型。基于该模型,以风储联合系统年收益最大为目标,提出综合考虑风电调度功率优化和变寿命特性的电池储能容量优化模型。以某风电场年历史出力数据为例,对电池储能功率/电量容量进行协调优化,仿真结果验证了所提模型的有效性。
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易 林
娄素华
吴耀武
杨天蒙
关键词 寿命预测模型风电调度功率电池储能系统可调度性容量优化配置    
Abstract:Based on the technical rule for connecting the wind farm to the power system and the requirements of the power system dispatching,the wind farmday-ahead dispatching power is optimized.The battery energy storage system (BESS) is used to meet the difference between the wind power and the referencevalue to improve the output characteristics and the schedulability of the wind power.From the energy throughput standpoint,a battery lifetime prediction model is developed and introduced into the optimization model.The optimal capacity of the installed BESS is determined,with which the wind power and the storage system can achieve maximum revenue and the power optimization and lifetime characteristics are both considered.Comparing to thetraditional approaches without lifetime predication,the calculation results with real wind farm historical output power demonstratethe feasibility and the effectiveness of this model.
Key wordsLifetime model    wind power dispatchingvalue    battery storage system    schedulability    capacity optimization   
收稿日期: 2014-12-10      出版日期: 2015-09-08
PACS: TM732  
基金资助:国家自然科学基金(51207062)和国家重点基础研究发展(973)计划(2012CB215102)资助。
作者简介: 易 林 男,1990年生,硕士研究生,研究方向为电力系统规划与优化运行、新能源发电、储能系统优化。娄素华 女,1974年生,博士、副教授,研究方向为电力系统规划与优化运行、新能源发电和电力技术经济。
引用本文:   
易 林, 娄素华, 吴耀武, 杨天蒙. 基于变寿命模型的改善风电可调度性的电池储能容量优化[J]. 电工技术学报, 2015, 30(15): 53-59. Yi Lin, Lou Suhua ,Wu Yaowu ,Yang Tianmeng. Optimal Battery Capacity Based on Lifetime Predicationfor Improving the Schedulability of the Wind Power. Transactions of China Electrotechnical Society, 2015, 30(15): 53-59.
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