Optimization scheduling in intelligent Energy Management System for the DC residential distribution system

Smart DC residential distribution system(RDS) consisted by DC living homes will be a significant integral part in the future green transmission with demand flexibility. Meanwhile, the distributed generations will play an important role in the active demand response (DR). Energy Management System (EMS) with aid of the wireless communication and the smart meter is imperative in achieving ADR for DC residential community. This paper presents a framework of centralized management system integration and the key process of ADR in DC residential distribution system. The propose framework and methods will help the targeted DC residential system reduce the total cost and reach new levels of flexibility and efficiency.

[1]  Rik W. De Doncker,et al.  Next generation automation architecture for DC smart homes , 2016, 2016 IEEE International Energy Conference (ENERGYCON).

[2]  Wei Qiao,et al.  A multiagent system for residential DC microgrids , 2015, 2015 IEEE Power & Energy Society General Meeting.

[3]  R. Iravani,et al.  DC power systems: Challenges and opportunities , 2010, IEEE PES General Meeting.

[4]  Adam Wierman,et al.  Optimizing energy storage participation in emerging power markets , 2015, 2015 Sixth International Green and Sustainable Computing Conference (IGSC).

[5]  Gabriela Hug,et al.  Cooperative Control of Distributed Energy Storage Systems in a Microgrid , 2015, IEEE Transactions on Smart Grid.

[6]  Juan C. Vasquez,et al.  Microgrid supervisory controllers and energy management systems: A literature review , 2016 .

[7]  Juan C. Vasquez,et al.  Power flow analysis for DC voltage droop controlled DC microgrids , 2014, 2014 IEEE 11th International Multi-Conference on Systems, Signals & Devices (SSD14).

[8]  Josep M. Guerrero,et al.  Multi-Agent System-Based Event-Triggered Hybrid Control Scheme for Energy Internet , 2017, IEEE Access.

[9]  Siobhán Clarke,et al.  Maximizing renewable energy use with decentralized residential demand response , 2015, 2015 IEEE First International Smart Cities Conference (ISC2).

[10]  H. S. V. S. Kumar Nunna,et al.  Energy Management in Microgrids Using Demand Response and Distributed Storage—A Multiagent Approach , 2013, IEEE Transactions on Power Delivery.