Energy storage configuration and scheduling optimization strategy applied to peak shaving and valley filling on the grid side
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摘要: 针对电池储能系统应用于电网侧削峰填谷时的配置和出力优化问题,研究了一种综合考虑储能经济性及削峰填谷效果的优化模型。将储能系统的投资成本、运维成本、分时电价收益、政策补贴换算到天,作为经济性指标;将储能接入前后的负荷峰值变化作为调峰效果的评价标准,储能接入后的负荷曲线标准差作为平滑负荷曲线效果的评价标准,两者量化后作为储能系统带来的社会效益的表征。通过线性加权将多目标优化问题转化为单目标优化问题后,设定客观约束,在MATLAB中使用YALMIP工具包进行求解。通过算例求解,给出了不同量化系数、加权系数下的储能系统优化容量、额定功率及日出力,总结出了储能系统功率容量比的理想值,得到了优化计算结果与优化目标计算过程中的量化系数和加权系数之间的关系。Abstract: This paper studies an optimization model that comprehensively considers the energy storage economy and the effect of peak shaving and valley filling, aiming at the configuration and output optimization problems of battery energy storage system when it is applied to grid side peak shaving and valley filling. This paper converts the investment cost, operation and maintenance cost, time-of-use electricity price benefit, and policy subsidies of the energy storage system into days as economic indicators. This paper takes the standard deviation of the load curve after the energy storage is connected as the evaluation standard for the effect of smoothing the load curve, and both of which are quantified as the characterization of the social benefits brought by the energy storage system. The multi-objective optimization problem is transformed into a single-objective optimization problem through linear weighting, then objective constraints are set, and the YALMIP toolkit is used to solve the problem in MATLAB. The optimal capacity, rated power and daily output of the energy storage system under different quantization coefficients and weighting coefficients are given through the calculation example. The ideal value of the power capacity ratio of the energy storage system is summarized, also the relationship between the optimization calculation results and the quantization coefficients and weighting coefficients in the calculation process of the optimization target is analyzed.
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[1] 汤程烨,马骏毅.镇江电网侧电池储能电站辅助系统调峰的应用[J].供用电,2020,37(8):83-88. TANG Chengye,MA Junyi.Application of peak regulation in auxiliary system of battery energy storage power station on Zhenjiang power grid[J].Distribution&Utilization,2020,37(8):83-88.
[2] 李欣然,邓涛,黄际元,等.储能电池参与电网快速调频的自适应控制策略[J].高电压技术,2017,43(7):2362-2369. LI Xinran,DENG Tao,HUANG Jiyuan,et al.Battery energy storage systemsêself-adaptation control strategy in fast frequency regulation[J].High Voltage Engineering,2017,43(7):2362-2369.
[3] 李若,李欣然,谭庄熙,等.考虑储能电池参与二次调频的综合控制策略[J].电力系统自动化,2018,42(8):74-82. LI Ruo,LI Xinran,TAN Zhuangxi,et al.Integrated control strategy considering energy storage battery participating in secondary frequency regulation[J].Automation of Electric Power Systems,2018,42(8):74-82.
[4] 李德智,田世明,王伟福,等.分布式储能的商业模式研究和经济性分析[J].供用电,2019,36(4):86-91. LI Dezhi,TIAN Shiming,WANG Weifu,et al.Business model research and economic analysis of distributed energy storage[J].Distribution&Utilization,2019,36(4):86-91.
[5] 常志拓,张雨濛.用于平抑功率波动的分布式综合能源站储能装置容量计算[J].供用电,2019,36(2):67-72. CHANG Zhituo,ZHANG Yumeng.Energy storage device capacity calculation of distributed integrated energy station for suppressing power fluctuation[J].Distribution&Utilization,2019,36(2):67-72.
[6] 林立乾,米增强,贾雨龙,等.面向电力市场的分布式储能聚合参与电网调峰[J].储能科学与技术,2019,8(2):276-283. LIN Liqian,MI Zengqiang,JIA Yulong,et al.Distributed energy storage aggregation for power grid peak shaving in a power market[J].Energy Storage Science and Technology,2019,8(2):276-283.
[7] 杨锡运,董德华,李相俊,等.商业园区储能系统削峰填谷的有功功率协调控制策略[J].电网技术,2018,42(8):2551-2561. YANG Xiyun,DONG Dehua,LI Xiangjun,et al.Active power coordinated control strategy of peak load shifting for energy storage system in business park[J].Power System Technology,2018,42(8):2551-2561.
[8] 王育飞,郑云平,薛花,等.基于增强烟花算法的移动式储能削峰填谷优化调度[J].电力系统自动化,2021,45(5):48-56. WANG Yufei,ZHENG Yunping,XUE Hua,et al.Optimal dispatch of mobile energy storage for peak load shifting based on enhanced firework algorithm[J].Automation of Electric Power Systems,2021,45(5):48-56.
[9] 林俐,费宏运.规模化分布式光伏并网条件下储能电站削峰填谷的优化调度方法[J].现代电力,2019,36(5):54-61. LIN Li,FEI Hongyun.Optimal scheduling method for peak load shifting of energy storage station with large-scale distributed photovoltaic integration[J].Modern Electric Power,2019,36(5):54-61.
[10] 孟娅,李欣然,黎淑娟,等.电池储能参与配电网削峰填谷的变功率控制策略[J].电力建设,2018,39(4):45-50. MENG Ya,LI Xinran,LI Shujuan,et al.Variable power control strategy of battery energy storage system participating in distribution network peak load shifting[J].Electric Power Construction,2018,39(4):45-50.
[11] 董慧峰,李文启,牛文迪,等.电池储能系统参与电网削峰填谷实用算法[J].电测与仪表,2019,56(18):74-78. DONG Huifeng,LI Wenqi,NIU Wendi,et al.Practical algorithm applied in peak load shifting of battery energy storage system in power grid[J].Electrical Measurement&Instrumentation,2019,56(18):74-78.
[12] 罗庆,张新燕,罗君,等.基于正负效益的储能削峰填谷容量配置[J].电网与清洁能源,2020,36(2):91-97. LUO Qing,ZHANG Xinyan,LUO Jun,et al.Allocation of peak storage and valley filling capacity based on positive and negative benefits[J].Power System and Clean Energy,2020,36(2):91-97.
[13] 刘方,张粒子,蒋燕,等.电力市场环境下梯级水电站中长期调度与检修计划双层优化模型[J].电网技术,2018,42(5):1541-1549. LIU Fang,ZHANG Lizi,JIANG Yan,et al.Bi-level optimal model of mid-long term scheduling and maintenance planning for cascade hydropower stations in electricity market environment[J].Power System Technology,2018,42(5):1541-1549.
[14] 周华锋,胡亚平,聂涌泉,等.区域互联电网电能量与备用辅助服务联合优化模型研究[J].电网技术,2020,44(3):991-1001. ZHOU Huafeng,HU Yaping,NIE Yongquan,et al.Co-optimization model of energy and reserve auxiliary service for regional interconnected power grid[J].Power System Technology,2020,44(3):991-1001.
[15] 王晗,徐潇源,严正.考虑柔性负荷的多目标安全约束机组组合优化模型及求解[J].电网技术,2017,41(6):1904-1912. WANG Han,XU Xiaoyuan,YAN Zheng.Multi-objective optimization of security constrained unit commitment model and solution considering flexible load[J].Power System Technology,2017,41(6):1904-1912.
[16] 孙波,孙佳佳,董浩.基于分时充电电价的电动汽车消纳风电的机组调度优化模型[J].可再生能源,2017,35(1):110-118. SUN Bo,SUN Jiajia,DONG Hao.Unit dispatch optimization model of electrical vehicle to accommodate the wind power based on time-of-use charging price[J].Renewable Energy Resources,2017,35(1):110-118.
[17] 侯建朝,侯鹏旺,孙波.计及需求响应的电动汽车和可再生能源多阶段动态经济环境调度优化模型[J].电网与清洁能源,2017,33(9):104-112. HOU Jianchao,HOU Pengwang,SUN Bo.Multi-stage dynamic economic emission dispatch optimization model of electric vehicles and renewable energy incorporating demand response[J].Power System and Clean Energy,2017,33(9):104-112.
[18] 许奕斌,章禹,何宇斌,等.计及灵活性的检修—运行协同优化模型及算法[J].电力系统自动化,2018,42(11):32-40. XU Yibin,ZHANG Yu,HE Yubin,et al.Collaborative optimization model and algorithm of maintenance and operation considering flexibility[J].Automation of Electric Power Systems,2018,42(11):32-40.
[19] 杨玉青,牛利勇,田立亭,等.考虑负荷优化控制的区域配电网储能配置[J].电网技术,2015,39(4):1019-1025. YANG Yuqing,NIU Liyong,TIAN Liting,et al.Configuration of energy storage devices in regional distribution network considering optimal load control[J].Power System Technology,2015,39(4):1019-1025.
[20] 修晓青,李建林,惠东.用于电网削峰填谷的储能系统容量配置及经济性评估[J].电力建设,2013,34(2):1-5. 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.
[21] XU G D,CHENG H Z,FANG S D,et al.Optimal configuration of battery energy storage system for peak-load regulation[C]//2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference.November15-18,2015,Brisbane,QLD,Australia.IEEE,2015:1-5.
[22] 凌万水,刘刚,侯勇.工业用户配置储能系统的经济收益分析[J].供用电,2019,36(8):54-60. LING Wanshui,LIU Gang,HOU Yong.Economic income analysis of industrial user's configuring energy storage system[J].Distribution&Utilization,2019,36(8):54-60.
[23] 宁阳天.基于削峰填谷的储能系统调度模型研究[D].北京:华北电力大学,2015. [24] 薛金花,叶季蕾,陶琼,等.采用全寿命周期成本模型的用户侧电池储能经济可行性研究[J].电网技术,2016,40(8):2471-2476. XUE Jinhua,YE Jilei,TAO Qiong,et al.Economic feasibility of userside battery energy storage based on whole-life-cycle cost model[J].Power System Technology,2016,40(8):2471-2476.
[25] PUDJIANTO D,AUNEDI M,DJAPIC P,et al.Whole-systems assessment of the value of energy storage in low-carbon electricity systems[J].IEEE Transactions on Smart Grid,2014,5(2):1098-1109.
[26] 中关村储能产业技术联盟.近期储能补贴政策分析[J].电器工业,2022(1):77-78.
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