基于风电出力预测误差补偿度与经济效益的最佳储能容量配置

doi:10.11930/j.issn.1004-9649.2016.05.141.08

中国电力 ›› 2016, Vol. 49 ›› Issue (5): 141-148.DOI: 10.11930/j.issn.1004-9649.2016.05.141.08

基于风电出力预测误差补偿度与经济效益的最佳储能容量配置

胡亚伟¹，²，李江³，胡立强⁴，晁勤¹，胡续坤¹，杨扬¹，刘清贵¹

1.新疆大学电气工程学院，新疆乌鲁木齐830047；
2.国网浙江省电力公司奉化电力公司，浙江奉化315500；
3.国网昌吉电力公司，新疆昌吉831100；
4.新疆军区工程环境质量监督站，新疆乌鲁木齐830002

收稿日期:2015-10-14 出版日期:2016-05-16 发布日期:2016-05-16
作者简介:胡亚伟（1988—），男，新疆乌鲁木齐人，硕士研究生，从事风电并网技术研究。E-mail: 351634724@qq.com
基金资助:
国家国际科技合作专项资助项目（2013DFG61520）；国家自然科学基金资助项目（51267020）；教育部高等学校博士学科点专项科研基金博导类联合资助课题资助项目（20126501110003）

Optimized Energy Storage Capacity Allocation Based on Prediction Error Compensation Degree and Economic Benefits of Wind Power

HU Yawei¹，², LI Jiang³, HU Liqiang⁴, CHAO Qin¹, HU Xukun¹, YANG Yang¹, LIU Qinggui¹

1. School of Electrical Engineering, Xinjiang University, Urumqi 830047, China;
2. State Grid Fenghua Supply Company,Fenghua 315500, China;
3. State Grid Changji Electric Power Company, Changji 831100, China;
4. Military Engineering Environmental Quality Supervision Station of Xinjiang, Urumqi 830002, China

Received:2015-10-14 Online:2016-05-16 Published:2016-05-16
Supported by:
This work is supported by the International Science & Technology Cooperation Program of China(No. 2013DFG61520); National Natural Science Foundation of China(No. 51267020); Research Fund for the Doctoral Program for PhD Supervisor of Higher Education of China Ministry of Education (No. 20126501110003).

摘要/Abstract

摘要： 以储能实时充放电弥补风电日前预测出力与实际出力之间的误差，可达到间接提高风电预测精度和风电利用效率的目的，但是受储能成本制约，必须探讨储能最佳容量选取方法。以弃风降低量、火力备用减小量、环境友好效益与储能投资、运行维护成本对比分析为准则，基于风电预测误差的概率分布特点，确定不同误差补偿度，配置相应补偿度下的储能容量，获得相应储能容量下的经济效益，进而计算出回收储能成本年份。基于补偿度、储能容量、回收成本年份三者关系确定了最佳补偿度下的储能容量配置和回收成本年份。通过对新疆148.5 MW风电场仿真验证及效益评估，将风电日前预测误差限制到±25%，最佳补偿度为91.5%，最佳储能容量为12.28 MW，约7.58年收回成本。

关键词: 储能, 弃风降低量, 风电预测误差, 补偿度, 效益评估

Abstract: The energy storage system can, through real time charging and discharging, compensate the error between predicted day-ahead output and actual output of wind power to indirectly improve the wind power prediction accuracy and utilization efficiency. Due to the constrains of energy storage cost, it is imperative to study the method for selecting the optimal energy storage capacity. Based on the contrast analysis of abandoned wind reduction, thermal power reserve capacity reduction, environment-friendly benefits, energy storage investment and operation & maintenance cost, different error compensation degrees are determined according to the probability distribution of wind power prediction errors, and subsequently the corresponding energy storage capacity, the economic benefits and the years for recovering the energy storage costs are in turn obtained. The energy storage capacity allocation and the year for recovering costs under the optimal compensation level are determined according to the relationship among compensation degree, energy storage capacity and the year for recovering costs. A case study is conducted by simulation for a wind farm of 148.5 MW in Xinjiang, and it is concluded that by limiting the day-ahead prediction error of wind power to ±25%, the optimal compensation degree is 91.5%, the optimal energy storage capacity is 12.28 MW, and it needs about 7.58 years to recover the costs.

Key words: energy storage, reduction of abandoned wind, wind power prediction error, compensation degree, benefit assessment

中图分类号:

TM715
TK82

胡亚伟，李江，胡立强，晁勤，胡续坤，杨扬，刘清贵. 基于风电出力预测误差补偿度与经济效益的最佳储能容量配置[J]. 中国电力, 2016, 49(5): 141-148.

HU Yawei, LI Jiang, HU Liqiang, CHAO Qin, HU Xukun, YANG Yang, LIU Qinggui. Optimized Energy Storage Capacity Allocation Based on Prediction Error Compensation Degree and Economic Benefits of Wind Power[J]. Electric Power, 2016, 49(5): 141-148.

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基于风电出力预测误差补偿度与经济效益的最佳储能容量配置

Optimized Energy Storage Capacity Allocation Based on Prediction Error Compensation Degree and Economic Benefits of Wind Power

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基于风电出力预测误差补偿度与经济效益的最佳储能容量配置

Optimized Energy Storage Capacity Allocation Based on Prediction Error Compensation Degree and Economic Benefits of Wind Power

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