Electric Energy Storage Systems integration in Distribution Grids

被引:0
|
作者
Di Giorgio, Alessandro [1 ]
Liberati, Francesco [1 ]
Lanna, Andrea [1 ]
机构
[1] Univ Roma La Sapienza, Dept Comp Control & Management Engn, I-00185 Rome, Italy
来源
2015 IEEE 15TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (IEEE EEEIC 2015) | 2015年
关键词
Energy Storage System; Model Predictive Control; Demand Response; Renewable Energy Sources; Smart Grid; OPTIMAL POWER-FLOW; MODEL-PREDICTIVE CONTROL;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents a real time control strategy for dynamically balancing electric demand and supply at local level, in a scenario characterized by a HV/MV substation with the presence of renewable energy sources in the form of photovoltaic generators and an electric energy storage system. The substation is connected to the grid and is powered by an equivalent traditional power plant playing the role of the bulk power system. A Model Predictive Control based approach is proposed, by which the active power setpoints for the traditional power plant and the storage are continually updated over the time, depending on generation costs, storage's state of charge, foreseen demand and production from renewables. The proposed approach is validated on a simulation basis, showing its effectiveness in managing fluctuations of network demand and photovoltaic generation in test and real conditions.
引用
收藏
页码:1279 / 1284
页数:6
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