A Capacity Configuration Method for Energy Storage Based on Feasible Operation Region of Wind Power and Life Attenuation

doi:10.3969/j.issn.1000－7229.2018.04.009

Abstract

Abstract:

ABSTRACT： Proper capacity of energy storage for wind farm can reduce abandoned wind power and improve economic benefit. However, due to the expensive cost of energy storage and the defect of compensation mechanism in the present situation, the application of energy storage is restricted. Therefore, configuring the capacity of energy storage becomes a current research focus. Based on the actual demand of system load, this paper determines the feasible operation region of wind power. Considering the benefit of energy storage and the effect of life attenuation comprehensively, a energy storage capacity configuration method is proposed for matching the feasible operation region of wind power to maximize the net benefit of energy storage within the planning year. The feasibility of the method is verified by example. The results show that the proposed method can greatly improve the utilization rate and economic benefit of the energy storage system.

Key words: KEYWORDS： feasible operation region of wind power, life attenuation, energy storage system, capacity configuration

CLC Number:

ZHANG Yu1，XIAO Bai1，MU Gang1，ZHANG Zeyu2，LIU Dongyuan1. A Capacity Configuration Method for Energy Storage Based on Feasible Operation Region of Wind Power and Life Attenuation

[J]. Electric Power Construction, 2018, 39(4): 60-.

References

［1］穆钢，崔杨，严干贵.确定风电场群功率汇聚外送输电容量的静态综合优化方法［J］.中国电机工程学报，2011，31（1）：15-19.

MU Gang，CUI Yang，YAN Gangui.A static optimization method to determine integrated power transmission capacity of clustering wind farms［J］. Proceedings of the CSEE，2011，31（1）：15-19.

［2］国家能源局.2016年风电并网运行情况［EB/OL］.（2017-01-26）［2018-01-11］.http：//www.nea.gov.cn/2017-01/26/c_136014615.htm.

［3］辛冉.我国风电弃风状况的分析及解决建议［J］.中小企业管理与科技，2017（23）：149-150.

XIN Ran.Analysis and solution proposals of domestic wind power energy curtailment［J］.Management & Technology of SME，2017（23）：149-150.

［4］李相俊，王上行，惠东. 电池储能系统运行控制与应用方法综述及展望［J］.电网技术，2017，40（10）：3315-3325.

LI Xiangjun，WANG Shangxing，HUI Dong.Summary and prospect of operation control and application method for battery energy storage systems［J］.Power System Technology，2017,40（10）：3315-3325.

［5］胡娟，杨水丽，侯朝勇，等.规模化储能技术典型示范应用的现状分析与启示［J］.电网技术，2015， 39（4）：879-885.

HU Juan，YANG Shuili，HOU Chaoyong，et al.Present condition analysis on typical demonstration application of large-scale energy storage technology and its enlightenment［J］.Power System Technology，2015，39（4）：879-885.

［6］鲍冠南，陆超，袁志昌，等.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.

BAO Guannan，LU Chao，YUAN Zhichang，et al.Load shift real-time optimization strategy of battery energy storage system based on dynamic programming［J］.Automation of Electric Power Systems，2012，36（12）：11-16.

［7］OUDALOV A，CHERKAOUI R，BEGUIN A.Sizing and optimal operation of battery energy storage system for peak shaving application［C］//IEEE Lausanne Powertech.Lausanne，Switzerland：IEEE，2007：621-625.

［8］张晴，李欣然，杨明,等. 净效益最大的平抑风电功率波动的混合储能容量配置方法［J］. 电工技术学报，2016，31（14）：40-48.

ZHANG Qing，LI Xinran，YANG Ming，et al.Capacity determination of hybrid energy storage system for smoothing wind power fluctuations with maximum net benefit［J］.Transactions of China Electrotechnical Society，2016，31（14）：40-48.

［9］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.

WANG Chengshan，YU Bo，XIAO Jun，et al.Sizing of energy storage systems for output smoothing of renewable energy systems［J］.Proceedings of the CSEE，2012，32（16）：1-8.

［10］马速良，蒋小平，马会萌，等.平抑风电波动的混合储能系统的容量配置［J］.电力系统保护与控制，2014，42（8）：108-114.

MA Suliang，JIANG Xiaoping，MA Huimeng，et al.Capacity configuration of the hybrid energy storage system for wind power smoothing［J］.Power System Protection & Control，2014，42（8）：108-114.

［11］穆钢，崔杨，陈志，等.吉林风电消纳关键技术的研究现状与发展趋势［J］.科技导报，2017，35（11）：20-29.

MU Gang，CUI Yang，CHEN Zhi，et al.Research status and development trend of key technologies of wind power accommodation in Jilin province［J］.Science & Technology Review，2017，35（11）：20-29.

［12］冯晓东.提高风电接入能力的大规模储能系统容量配置研究［D］.吉林：东北电力大学，2013.

FENG Xiaodong.Study on capacity configuration of large scale energy storage system aim to improve wind power s integrate capacity ［D］.Jilin：Northeast Electric Power University，2013.

［13］王芝茗，苏安龙，鲁顺.基于电力平衡的辽宁电网接纳风电能力分析［J］.电力系统自动化，2010，34（3）：86-90.

WANG Zhiming，SU Anlong，LU Shun.Analysis on capacity of wind power integrated into Liaoning power grid based on power balance［J］.Automation of Electric Power Systems，2010，34（3）：86-90.

［14］吕泉，王伟，韩水，等.基于调峰能力分析的电网弃风情况评估方法［J］.电网技术，2013,29（7）：1887-1894.

L Quan，WANG Wei，HAN Shui，et al.A new evaluation method for wind power curtailment based on analysis of system regulation capability［J］.Power System Technology，2013,29（7）：1887-1894.

［15］王勃，冯双磊，刘纯.考虑预报风速与功率曲线因素的风电功率预测不确定性估计［J］.电网技术，2014，38（2）：463-468.

WANG Bo，FENG Shuanglei，LIU Chun.Uncertainty evaluation of wind power prediction considering impacts of power curve and predicted wind speed［J］.Power System Technology，2014，38（2）：463-468.

［16］娄素华，易林，吴耀武，等.基于可变寿命模型的电池储能容量优化配置［J］.电工技术学报，2015，30（4）：265-271.

LOU Suhua，YI Lin，WU Yaowu，et al.Optimizing deployment of battery energy storage based on lifetime predication［J］.Transactions of China Electrotechnical Society，2015，30（4）：265-271.

［17］高飞，杨凯，惠东，等.储能用磷酸铁锂电池循环寿命的能量分析［J］.中国电机工程学报，2013，33（5）：41-45.

GAO Fei，YANG Kai，HUI Dong，et al.Cycle-life energy analysis of LiFePO_4 batteries for energy storage［J］. Proceedings of the CSEE，2013，33（5）：41-45.

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