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

作　　者：胡亚伟[1,2] 李江 胡立强[4] 晁勤[1] 胡续坤 杨扬[1] 刘清贵[1] 

机构地区：[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

出　　处：《中国电力》2016年第5期141-148,共8页Electric Power

基　　金：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)~~

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。The energy storage system can. through real time charging and discharging, compensale the error belween predieted day-ahead output and actual output of wind power to indirectly improve the wind power prediction accuracy and utilization efficieney. Due to the nstrstins of energy slorz, ge cost. it is imperative to study the method for selecting the ,ptimal energy storage capacity. Based on the contrast analysis of dandcned ind redution, thermal power reserve apaeity reduction, environment-friendly benefits, energy storage inxeslmenl and qeralion ＆ mainlenanee eosl. different error etmlpensation degrees are determined according to the prolmbility of wind pdietion errors, and subsequently the corresponding energy slorage capacity, the eetmomie benefits and the years tkr reevering energy storage costs are in turn tbtained. The energy storage capacity allocation and the year for recovering costs emqtensation lewd are determined aeeording to the relationship among compensation degree, energy sto and it is concluuded that by limiting the day-ahead prediction error of wind power to ±25%. the optimal eompeusation degree is 91.5%. the optimal energy storage This work is 12.28MW. and it needs ahut 7.58 years to recover the costs.

关 键 词：储能 弃风降低量 风电预测误差 补偿度 效益评估 

分 类 号：TM614[电气工程—电力系统及自动化]