Economic modeling and analysis of user-side electrical/thermal comprehensive energy storage system

doi:10.12028/j.issn.2095-4239.2017.0082

Abstract

Abstract: The demand for energy gradually diversifies on user side along with the development of smart grid. Therefore, demand for diversified energy on user side needs to be taken into account based on economic analysis of electrical energy storage system (ESS). This paper firstly introduces thermal ESS to form an electrical/thermal comprehensive ESS together with electrical ESS considering the users’ demand for thermal energy. Then the economic model of the comprehensive ESS is built and the initial investment cost, average annual cost and annual earnings of new ESS are analyzed. A test case including two scenarios in which the first does not have thermal ESS while the second takes it into consideration is given to compare the economic performance. The results show that introducing thermal ESS will improve the initial investment cost and annual operating cost, but the whole economy of ESS will rise, thus shortening the life of return of investment, which illustrates the necessity and effectiveness of introducing thermal ESS.

Key words: energy storage system, thermal energy storage, economic analysis, user side

YUAN Shuangchen1, CAI Shengxia2, WANG Shouxiang1, HUANG Bibin3. Economic modeling and analysis of user-side electrical/thermal comprehensive energy storage system[J]. Energy Storage Science and Technology, 2017, 6(5): 1099-1104.

References

[1] 孙振新, 刘汉强, 赵喆, 等. 储能经济性研究[J]. 中国电机工程学报, 2013, 33(S1): 54-58.
SUN Zhenxin, LIU Hanqiang, ZHAO Zhe, et al. Research on economical efficiency of energy storage[J]. Proceedings of the CSEE, 2013, 33(S1): 54-58.
[2] 严干贵, 刘嘉, 崔杨, 等. 利用储能提高风电调度入网规模的经济性评价[J]. 中国电机工程学报, 2013, 33(22): 45-52, 9.
YAN Gangui, LIU Jia, CUI Yang, et al. Economic evaluation of improving the wind power scheduling scale by energy storage system[J]. Proceedings of the CSEE, 2013, 33(22): 45-52+9.
[3] TEWARI S, MOHAN N. Value of NAS energy storage toward integrating wind: Results from the wind to battery project[J]. IEEE Transactions on Power Systems, 2013, 28(1): 532-541.
[4] TRAN D, KHAMBADKONE A M. Energy management for lifetime extension of energy storage system in micro-grid applications[J]. IEEE Transactions on Smart Grid, 2013, 4(3): 1289-1296.
[5] TENG J H, LUAN S W, LEE D J, et al. Optimal charging/discharging scheduling of battery storage systems for distribution systems interconnected with sizeable PV generation systems[J]. IEEE Transactions on Power Systems, 2013, 28(2): 1425-1433.
[6] 向育鹏, 卫志农, 孙国强, 等. 基于全寿命周期成本的配电网蓄电池储能系统的优化配置[J]. 电网技术, 2015, 39(1): 264-270.
XIANG Yupeng, WEI Zhinong, SUN Guoqiang. Life cycle cost based optimal configuration of battery energy storage system in distribution network[J]. Power System Technology, 2015, 39(1): 264-270.
[7] 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 user-side battery energy storage based on whole-life-cycle cost model[J]. Power System Technology, 2016, 40(8): 2471-2476.
[8] 王承明, 孙伟卿, 衣涛, 等. 智能电网中储能技术应用规划及其效益评估方法综述[J]. 中国电机工程学报, 2013, 33(7): 33-41.
WANG Chengming, SUN Weiqing, YI Tao, et al. Review on energy storage application planning and benefit evaluation methods in smart grid[J]. Proceedings of the CSEE, 2013, 33(7): 33-41.
[9] 颜志敏, 王承民, 连鸿波, 等. 计及缺电成本的用户侧蓄电池储能系统容量规划[J]. 电力系统自动化, 2012, 36(11): 50-54.
YAN Zhimin, WANG Chengmin, LIAN Hongbo, et al. Capacity plan of battery energy storage system in user side considering power

outage cost[J]. Automation of Electric Power Systems, 2012, 36(11): 50-54.
[10] 张国荣, 陈夏冉. 能源互联网未来发展综述[J]. 电力自动化设备, 2017, 37(1): 1-7.
ZHANG Guorong, CHEN Xiaran. Future development of energy internet[J]. Electric Power Automation Equipment, 2017, 37(1): 1-7.
[11] 吴雄, 王秀丽, 别朝红, 等. 含热电联供系统的微网经济运行[J]. 电力自动化设备, 2013, 33(8): 1-6.
WU Xiong, WANG Xiuli, BIE Chaohong, et al. Economic operation of microgrid with combined heat and power system[J]. Electric Power Automation Equipment, 2013, 33(8): 1-6.
[12] 罗毅, 张丽娟. 含高温储能系统的微电网经济运行研究[J]. 中国工程科学, 2015, 17(1): 74-80.
LUO Yi, ZHANG Lijuan. Research on economic operation of microgrid with high temperature energy storage system[J]. Engineering Sciences, 2015, 17(1): 74-80.
[13] 李正茂, 张峰, 梁军, 等. 计及附加机会收益的冷热电联供型微电网动态调度[J]. 电力系统自动化, 2015, 39(14): 8-15.
LI Zhengmao, ZHANG Feng, LIANG Jun, et al. Dynamic scheduling of CCHP type of microgrid considering additional opportunity income[J]. Automation of Electric Power Systems, 2015, 39(14): 8-15.
[14] 熊雄, 杨仁刚, 叶林, 等. 电力需求侧大规模储能系统经济性评估[J]. 电工技术学报, 2013, 28(9): 224-230.
XIONG xiong, YANG Rengang, YE Lin, et al. Economic evaluation of large-scale energy storage allocation in power demand side[J]. Transactions of China Electrotechnical Society, 2013, 28(9): 224-230.
[15] 熊雄, 叶林, 杨仁刚. 电力需求侧规模储能容量优化和经济性分析[J]. 电力系统自动化, 2015, 39(17): 42-48+88.
XIONG Xiong, YE Lin, YANG Rengang. Optimal allocation and economic benefits analysis of energy storage system on power demand side[J], Automation of Electric Power Systems, 2015, 39(17): 42-48+88.
[16] 马速良, 马会萌, 蒋小平, 等. 基于Bloch球面的量子遗传算法的混合储能系统容量配置[J]. 中国电机工程学报, 2015, 35(3): 592-599.
MA Suliang, MA Huimeng, JIANG Xiaoping, et al. Capacity configuration of the hybrid energy storage system based on bloch spherical quantum genetic algorithm[J]. Proceedings of the CSEE, 2015, 35(3): 592-599.
[17] 施泉生, 姜瑞合. 考虑投资主体利益的区域配电网储能系统经济性分析[J]. 科技与产业, 2016, 16(11): 121-125.
SHI Quansheng, JIANG Ruihe. Economic analysis of regional distribution network BESS considering investment subject benefit[J]. Science Technology and Industry, 2016, 16(11): 121-125.
[18] 孙波, 廖强强, 陆宇东, 等. 钠硫电池储能系统的电价机制研究[J]. 电网技术, 2014, 38(8): 2108-2113.
SUN Bo, LIAO Qiangqiang, LU Yudong, et al. Research on electricity pricing mechanism of NaS battery based energy storage system[J]. Power System Technology, 2014, 38(8): 2108-2113.