| 应用于风电场出力平滑的多尺度多指标储能配置 |
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| 引用本文： | 甘伟,郭剑波,艾小猛,姚伟,杨波,姚良忠,文劲宇.应用于风电场出力平滑的多尺度多指标储能配置[J].电力系统自动化,2019,43(9):92-98. |
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| 作者姓名： | 甘伟 郭剑波 艾小猛 姚伟 杨波 姚良忠 文劲宇 |
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| 作者单位： | 强电磁工程与新技术国家重点实验室(华中科技大学电气与电子工程学院);新能源与储能运行控制国家重点实验室(中国电力科学研究院有限公司);东南大学电气工程学院;中国电力科学研究院有限公司(南京) |
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| 基金项目： | 国家自然科学基金资助项目(51707070)；国家电网公司科技项目(NYN17201600314) |
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| 摘 要： | 风电场出力具有较强的波动性与不确定性,往往需配置储能以平滑其出力波动、满足风电并网导则要求。针对这一问题,提出了应用于风电场出力平滑的多尺度多指标储能配置模型。首先提出分段线性化的风电出力波动越限惩罚评价方法,并基于此构建了以考虑越限惩罚、储能成本以及限电损失的总运行成本最小为目标的多指标储能配置模型。该模型同时兼顾风电并网1 min与10 min的多时间尺度波动越限要求。为精确求解该模型,采用大M法将原有非线性模型转换成混合整数线性规划模型,通过调用Gurobi求解器求解。最后,基于一周的实际风电场数据,仿真验证了所提方法的有效性。
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| 关 键 词： | 风电并网 储能配置 出力平滑 多时间尺度 混合整数线性规划 |
| 收稿时间： | 2018/8/15 0:00:00 |
| 修稿时间： | 2019/3/14 0:00:00 |
Multi-scale Multi-index Sizing of Energy Storage Applied to Fluctuation Mitigation of Wind Farm |
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| GAN Wei,GUO Jianbo,AI Xiaomeng,YAO Wei,YANG Bo,YAO Liangzhong and WEN Jinyu.Multi-scale Multi-index Sizing of Energy Storage Applied to Fluctuation Mitigation of Wind Farm[J].Automation of Electric Power Systems,2019,43(9):92-98. |
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| Authors: | GAN Wei GUO Jianbo AI Xiaomeng YAO Wei YANG Bo YAO Liangzhong and WEN Jinyu |
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| Affiliation: | State Key Laboratory of Advanced Electromagnetic Engineering and Technology(School of Electrical and Electronic Engineering, Huazhong University of Science and Technology), Wuhan 430074, China,State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems (China Electric Power Research Institute), Beijing 100192, China,State Key Laboratory of Advanced Electromagnetic Engineering and Technology(School of Electrical and Electronic Engineering, Huazhong University of Science and Technology), Wuhan 430074, China,State Key Laboratory of Advanced Electromagnetic Engineering and Technology(School of Electrical and Electronic Engineering, Huazhong University of Science and Technology), Wuhan 430074, China,State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems (China Electric Power Research Institute), Beijing 100192, China; School of Electrical Engineering, Southeast University, Nanjing 210096, China,China Electric Power Research Institute(Nanjing), Nanjing 210003, China and State Key Laboratory of Advanced Electromagnetic Engineering and Technology(School of Electrical and Electronic Engineering, Huazhong University of Science and Technology), Wuhan 430074, China |
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| Abstract: | Due to the high volatility and uncertainty of wind power, the integration of the energy storage system(ESS)in wind farms is required to mitigate the wind power fluctuations so that the requirements of wind power integration can be satisfied. To solve this problem, a multi-scale multi-index ESS sizing model applied to wind power fluctuation mitigation is proposed, which considers the penalty costs. Firstly, a piecewise linearized evaluation method for wind power fluctuations is proposed, which considers the penalty costs. Secondly, a multi-index ESS sizing model is proposed. It minimizes the sum of penalty costs, ESS investment and wind curtailment costs. Also, the fluctuation limits of 1 min time-scale and 10 min time-scale are considered in the model. Thirdly, the large M method is introduced to solve the model accurately. The original nonlinear model is transformed into a mixed integer linear programming model, which is solved by Gurobi. Finally, the effectiveness of the proposed model is validated based on one-week actual wind farm data. |
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| Keywords: | wind power integration energy storage configuration output smoothing multi-time-scale mixed integer linear programming |
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