Capacity Configuration and Economic Evaluation of Energy Storage System for Grid Peak Load Shifting

XIU Xiaoqing; LI Jianlin; HUI Dong

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Electric Power Construction ›› 2013, Vol. 34 ›› Issue (2) : 1-5.

Capacity Configuration and Economic Evaluation of Energy Storage System for Grid Peak Load Shifting

XIU Xiaoqing, LI Jianlin, HUI Dong

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Abstract

With the gradual increase of peak-valley difference of grid load, many types of equipment of power generation, transmission and distribution should be added or retrofitted to meet the peak load demand for electricity. While the low loading rate of grid may lead to a lower asset utilization ratio of power equipment, which makes power planning and construction less economic. Energy storage technology can solve the problem of increase of peak-valley difference and low asset utilization ratio, however, the high cost of the energy storage system limits its large-scale applications at present. Considering the charge-discharge balance constraints and cycle life of energy storage system, the control strategy of energy storage technologies for grid peak load shifting is studied, and the mathematical model is established for the economic evaluation of investment in the energy storage system. Taking actual load data as examples, the capacity demands of energy storage system under different peaking degrees are simulated and analyzed. The economic issues of energy storage system investment are studied from the view of social benefits and investors respectively. Finally, the economic conditions of large-scale applications of energy storage system are proposed.

Key words

energy storage technology / peak load shifting / capacity configuration / economic evaluation / scale economy

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XIU Xiaoqing, LI Jianlin, HUI Dong. Capacity Configuration and Economic Evaluation of Energy Storage System for Grid Peak Load Shifting[J]. Electric Power Construction. 2013, 34(2): 1-5

References

[1]张恒良, 谢诞梅, 刘静宇, 等. 调峰机组启停优化控制[J].热能动力工程, 2005, 20( 5) : 300-303.

[2]余欣梅, 熊信艮, 吴耀武, 等. 电力系统调峰电源规划优化模型探讨及其应用[J].中国电力, 2003, 36(1) : 48-51.

[3]曹昉, 张粒子. 结合系统调峰容量比确定抽水蓄能机组装机容量的方法[J].电力自动化设备,2007,27(6):47-50.

[4]杨瑞瑜. 九评：我国电网谷电大规模储能调峰技术路线[J].电网与清洁能源,2012,28(4):1-11.

[5]谢俊,白兴忠,甘德强.水电/火电机组调峰能力的评估与激励[J].浙江大学学报：工学版,2009,43(11):2079-2084.

[6]张文亮，丘明，来小康.储能技术在电力系统中的应用[J].电网技术，2008,32(4)：136-142.

[7]梁亮，李建林，惠东.大型风电场用储能装置容量的优化配置[J].高电压技术，2011，37(4)：930-936.

[8]鲍冠南，陆超，袁志昌.基于动态规划的电池储能系统削峰填谷实时优化[J].电力系统自动化，2012,36（12）：11-16.

[9] Oudalov A, Cherkaoui R , Beguin A.Sizing and optimal operation of battery energy storage system for peak shaving

application[C]//IEEE Proceeding of Power Tech, 2007:299-303.

[10]孔飞飞,晁勤,袁铁江，等.用于短期电网调度的风电场储能容量估算法[J].电力自动化设备, 2012, 32(7):21-24.

[11]王成山,于波,肖峻,等. 平滑可再生能源发电系统输出波动的储能系统容量优化方法[J]. 中国电机工程学报，2012, 32 (16): 1-8.

[12]杨水丽,惠东,李建林, 等. 适用于风电场的最佳电池容量选取的方法[J].电力建设,2010,31(9):1-4.

[14]Hans Bludszuweit，José Antonio，Domínguez Navarro. A probabilistic method for energy storage sizing based on wind power

forecast uncertainty[J].IEEE Transactions on Power Systems, 2011,26(3):1651-1658.

[14]Wang X Y , Vilathgamuwa D M. Determination of battery storage capacity in energy buffer for wind farm[J].IEEE

Transactions on Energy Conversion, 2008, 23(3):868-878.

[15] Li Q, Choi S S, Yuan Y,et al.On the determination of battery energy storage capacity and short-term power dispatch of

a wind farm[J].IEEE Transactions on Sustainable Energy, 2011,2(2):148-158.

[16] 杨裕生，程杰，曹高萍.规模储能装置经济效益的判据[J].电池，2011，41(1)：19－21.

[17] Chengke Zhou, Kejun Qian, Malcolm Allan, et al. Modeling of the cost of EV battery wear due to V & G application in

power systems[J].IEEE Transactions on Energy Conversion，2011，26(4)：1041-1050.

[18] 谭靖，李国杰，唐志伟.基于压缩空气储能的风电场功率调节及效益分析[J].电力系统自动化，2011,35（8）：33-37.

[19] 韩勇，田闻旭，谭忠富.基于长期边际成本的不同电压等级输配电价定价模型及其应用[J]. 电网技术,2011,35(7):175-180.

[20] 谢瑛，谭忠富，程晋，等. 节能减排调度环境下燃煤电厂发电成本分析[J]. 电网技术,2011,35(2):137-142.