Optimal configuration method of distributed energy storage systems in distribution network with high penetration of photovoltaic

被引：0

作者：

Tao Q. ^{[1
]}

Sang B. ^{[1
]}

Ye J. ^{[1
]}

Xue J. ^{[1
]}

机构：

[1] China Electric Power Research Institute, Nanjing

来源：

Gaodianya Jishu/High Voltage Engineering | 2016年 / 42卷 / 07期

关键词：

Bi-level optimization; Distributed energy storage; Distributed photovoltaic; Distribution network; Locating and sizing; Optimal configuration;

D O I：

10.13336/j.1003-6520.hve.20160713017

中图分类号：

学科分类号：

摘要：

To promote the coordinated development between distributed photovoltaic (PV) systems and distribution network, and to improve the absorptive capacity for PV, we put forward a novel bi-level optimization method for locating and sizing of distributed energy storage system (EES) in the distribution network with high penetration of PV. Being in distributed power investor's shoes, and considering the interests of the network operators, the planning targets include the total capacity of ESS and voltage fluctuation improve index, and the constraints include operation constraint of distribution network, state of charge (SOC) constraint, and operation state constraint of EES. Meanwhile, the method also takes into account the storage optimization operation with the time-sequence matching between EES output, PV system output and load taken into consideration. Finally, the experimental results from the distribution network in Heibei Chengde verify the effectiveness and feasibility of the proposed method. The results reveal that, after using the method, the capacity of ESS can be reduced by 85%, and the voltage fluctuation improvement index can increase by 18% after considering the coordination of energy storage, photovoltaic, and load. © 2016, High Voltage Engineering Editorial Department of CEPRI. All right reserved.

引用

页码：2158 / 2165

页数：7

共 17 条

[1]

Zhao B., Zhang X., Hong B., Energy penetration of large-scale distributed photovoltaic sources integrated into smart distribution network, Electric Power Automation Equipment, 32, 8, pp. 95-100, (2012)

[2]

Chen G., Yuan Y., Fu Z., Application of storage battery to restrain the photovoltaic power fluctuation, Proceedings of the CSU-EPSA, 26, 2, pp. 27-31, (2014)

[3]

Lin S., Han M., Zhao G., Et al., Capacity allocation of energy storage in distributed photovoltaic power system based on stochastic prediction error, Proceedings of the CSEE, 33, 4, pp. 25-33, (2013)

[4]

Sang B., Wang D., Yang B., Et al., Optimal allocation of energy storage system for smoothing the output fluctuations of new energy, Proceedings of the CSEE, 34, 22, pp. 3700-3706, (2014)

[5]

Shen Z., Pei W., Deng W., Et al., Storage capacity optimization for wind farm considering the impact of battery lifetime a nd control strategy, High Voltage Engineering, 41, 10, pp. 2236-2244, (2015)

[6]

You Y., Liu D., Zhong Q., Et al., Multi-objective optimal placement of energy storage systems in an active distribution network, Automation of Electric Power Systems, 38, 18, pp. 46-52, (2014)

[7]

Wu Y., Sun Y., Xu J., Et al., Determination methodology for energy storage capacity based on saturation control theory, Proceedings of the CSEE, 31, 22, pp. 32-39, (2011)

[8]

Xiang Y., Wei Z., Sun G., Et al., Life cycle cost based optimal configuration of battery energy storage system in distribution network, Power System Technology, 39, 1, pp. 264-270, (2015)

[9]

Yan Z., Wang C., Lian H., Et al., Capacity plan of battery energy storage system in user side considering power outage cost, Automation of Electric Power Systems, 36, 11, pp. 50-54, (2012)

[10]

Yang Y., Niu L., Tian L., Et al., Configuration of energy storage devices in regional distribution network considering optimal load control, Power System Technology, 39, 4, pp. 1019-1025, (2015)

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