Control structure for optimal demand-side management with a multi-technology battery storage system

被引：0

作者：

Fernandez, Gregorio ^{[1
]}

Almajano, Juan ^{[1
]}

Garcia, Eduardo ^{[1
]}

Bludszuweit, Hans ^{[1
]}

Machin, Samuel ^{[1
]}

Sanz, Jose Francisco ^{[2
]}

机构：

[1] CIRCE Fdn, Elect Syst Area, Zaragoza, Spain

[2] Univ Zaragoza, CIRCE, Inst Univ Invest, Zaragoza, Spain

来源：

2019 24TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA) | 2019年

关键词：

Control structure; Demand Side Management (DSM); Battery Energy Storage System (BESS); Optimization; Forecasting; IoT (Internetof Things);

D O I：

10.1109/etfa.2019.8869314

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Demand-side management (DSM) is proposed as a key solution to increase electric system flexibility, essential for large-scale deployment of renewable energy generation. System flexibility is required to avoid congestions in electric systems and reduce costs for network operators and consumers. IoT deployment, real-time pricing and cost reductions for electric energy storage opens new opportunities for DSM tools, which help matching demand with variable renewable generation. This paper describes the control structure developed, implemented and tested in real demonstrators to deploy demand management programs to reduce energy bills of industrial customers. This structure operates at two stages: remotely, to calculate economically optimal consumption and ESS operation set points and locally to adapt the forecast-based economic program to real-time conditions. The described DSM structure has been developed within a national Spanish research project called EV-OPTIMANAGER.

引用

页码：754 / 759

页数：6

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