Advanced Peak Shaving Control Strategies for Battery Storage Operation in Low Voltage Distribution Network

被引：0
|
作者：
Zupancic, Jernej [1 ]
Lakic, Edin [1 ]
Medved, Tomi [1 ]
Gubina, Andrej F. [1 ]
机构：
[1] Univ Ljubljana, Fac Elect Engn, Lab Energy Policy, Ljubljana, Slovenia
来源：
2017 IEEE MANCHESTER POWERTECH | 2017年
基金：
欧盟地平线“2020”;
关键词：
electricity storage; battery; control strategies; peak shaving; low voltage network; ENERGY-STORAGE; PENETRATION; INTEGRATION; SYSTEM; POWER;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The increased integration of PV systems in the low voltage network causes many problems in network operations. The EU project STORY is tackling these problems with adding energy storage to the grid. In this paper we present new control concept with peak demand control algorithm which is used on storage unit in LV distribution network. The algorithm development is based on real measurements from transformer station and inclusion of solar irradiation forecast. On the basis of forecasts algorithm defines new threshold levels of power flows through transformer which is responsible for decision of battery charge/discharge related to power surplus in real-time operation. Results of the simulations show an improvement in the operation of peak shaving control.
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页数：6
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