RESEARCH ON DEGRADATION COST MODEL OF ENERGY STORAGE SYSTEM BASED ON PRICE DEMAND RESPONSE

被引:0
|
作者
Ma B. [1 ]
Liu H. [1 ,2 ]
Hao S. [1 ,2 ]
Lu H. [1 ]
Zhang C. [1 ]
机构
[1] School of Electrical Engineering, Nanjing Institute of Technology, Nanjing
[2] Jiangsu Distribution Network Intelligent Technology, Equipment Collaborative Innovation Center, Nanjing
来源
关键词
degradation cost; energy management system; energy storage; microgrid; operation cost; price demand response;
D O I
10.19912/j.0254-0096.tynxb.2022-0980
中图分类号
学科分类号
摘要
In order to improve the economic benefits of microgrids,it is necessary to fully consider the intermittent of new energy power generation and the high cost of hybrid energy storage system(HESS). This paper presents a microgrid double-layer predictive energy management system(EMS)model based on price demand response. Considering the impact of price on demand response,based on the degradation cost of HESS depth of charge and service life. The long-term cost of battery and supercapacitor is modeled and converted into real- time short- term cost. Based on the price demand response,the upper layer of the double- layer EMS minimizes the total operating cost,and the lower layer reduces the impact caused by the fluctuation of prediction error and change of load power,so as to maintain system stability. The example analysis shows the effectiveness of two-layer EMS from two aspects:different prediction time range and prediction accuracy. When considering the price demand response,the supercapacitor can quickly stabilize the load power change which caused by price adjustment. Simultaneously,it reduces the average battery degradation cost and operation cost of the system and improves the economic benefits of the system. © 2023 Science Press. All rights reserved.
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页码:531 / 540
页数:9
相关论文
共 20 条
  • [1] TANI A, CAMARA M B,, DAKYO B., Energy management in the decentralized generation systems based on renewable energy- ultracapacitors and battery to compensate the wind/load power fluctuations[J], IEEE transactions on industry applications, 51, 2, pp. 1817-1827, (2015)
  • [2] HOU Z F, CHEN J D, QIU G X,, Et al., Two-level dynamic reactive power scheduling strategy in a distribution network considering reactive power regulation of distributed generation[J], Power system protection and control, 50, 6, pp. 158-164, (2022)
  • [3] ZHANG Y H, LI Q S, WANG C, Et al., Grid-connected method of regional wind- solar low- frequency correlation complementation and high-frequency hybrid energy storage stabilization[J], Proceedings of the CSEE, 43, 4, pp. 1492-1504, (2023)
  • [4] ZHANG Y H,, DU G P,, LEI Y X,, Et al., Current status and prospects of control strategy for a DC micro grid hybrid energy storage system[J], Power system protection and control, 49, 3, pp. 177-187, (2021)
  • [5] SU H, ZHANG J C,, FENG D H,, Et al., Modular hybrid energy storage system and its energy management strategy [J], Electric power automation equipment, 39, 1, pp. 127-133, (2019)
  • [6] LI J L,, YUAN X D, YU Z G,, Et al., Comments on power quality enhancement research for power grid by energy storage system[J], Automation of electric power systems, 43, 8, pp. 15-24, (2019)
  • [7] HE J Q, SHI C L,, MA M,, Et al., Bi- level optimal configuration method of hybrid energy storage system based on meta model optimization algorithm[J], Electric power automation equipment, 40, 7, pp. 157-167, (2020)
  • [8] DING M, ZHANG J J., Capacity optimization method of hybrid energy storage system for wind power smoothing[J], Acta energiae solaris sinica, 40, 3, pp. 593-599, (2019)
  • [9] PU Y C,, LI Q, CHEN W R,, Et al., Energy management for islanded DC microgrid with hybrid electric- hydrogen energy storage system based on minimum utilization cost and energy storage state balance[J], Power system technology, 43, 3, pp. 918-927, (2019)
  • [10] JIN C L., Control and size energy storage systems for managing energy imbalance of variable generation resources, 2015 IEEE Power & Energy Soliety General Meeting, (2015)