The case for coordinated energy storage in future distribution grids

The integration of distributed renewable energy resources in urban power systems requires locally tailored approaches. This study analyses the impact of storage penetration and its coordination in three representative urban areas in Amsterdam: a residential, a business and a mixed area. Results show considerable benefits of storage and its coordination in all three areas, assuming a high (50%) penetration of solar panels. Self-consumption of locally generated renewable energy increases from 70% without storage to 80% with individually used storage and to over 90% with coordinated storage. Self-sufficiency increases from 17% without storage to almost 40% with coordinated storage. These results make a case for coordinated use of storage units to support the integration of renewable resources in future distribution grids in a variety of urban areas.

[1]  Dirk Uwe Sauer,et al.  Relevance of energy storage in future distribution networks with high penetration of renewable energy sources , 2009 .

[2]  Peter Lund,et al.  Large-scale urban renewable electricity schemes - integration and interfacing aspects , 2012 .

[3]  Volker Quaschning,et al.  Sizing of Residential PV Battery Systems , 2014 .

[4]  Peter Lund,et al.  Urban energy systems with smart multi-carrier energy networks and renewable energy generation , 2012 .

[5]  Dirk Uwe Sauer,et al.  Optimization of self-consumption and techno-economic analysis of PV-battery systems in commercial applications , 2016 .

[6]  Peter Lund,et al.  Models for generating place and time dependent urban energy demand profiles , 2014 .

[7]  Juan Gonzalez,et al.  Battery Energy Storage for Enabling Integration of Distributed Solar Power Generation , 2012, IEEE Transactions on Smart Grid.

[8]  Hongbin Sun,et al.  Active Demand Response Using Shared Energy Storage for Household Energy Management , 2013, IEEE Transactions on Smart Grid.

[9]  Geoffrey R. Walker,et al.  Evaluating MPPT Converter Topologies Using a Matlab PV Model , 2000 .

[10]  Frances M. T. Brazier,et al.  Storage coordination and peak-shaving operation in urban areas with high renewable penetration , 2017, 2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC).

[11]  K. M. Muttaqi,et al.  Mitigation of Rooftop Solar PV Impacts and Evening Peak Support by Managing Available Capacity of Distributed Energy Storage Systems , 2013, IEEE Transactions on Power Systems.