Maximal Islanding Time For Microgrids via Distributed Predictive Control

Motivated by a specific application in electricity distribution networks, we present a hierarchical model predictive control algorithm for scheduling energy storage devices. We demonstrate that, for the proposed optimization problem, the alternating direction method of multipliers can be implemented in a distributed fashion. Numerical experiments supporting the theoretical results are provided.

[1]  Karl Worthmann,et al.  Distributed and Decentralized Control of Residential Energy Systems Incorporating Battery Storage , 2015, IEEE Transactions on Smart Grid.

[2]  P. Kundur,et al.  Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions , 2004, IEEE Transactions on Power Systems.

[3]  Dimitri P. Bertsekas,et al.  Nonlinear Programming , 1997 .

[4]  John Bagterp Jørgensen,et al.  Application of economic MPC to frequency control in a single-area power system , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

[5]  S. N. Bhaskara,et al.  Microgrids — A review of modeling, control, protection, simulation and future potential , 2012, 2012 IEEE Power and Energy Society General Meeting.

[6]  J.A.P. Lopes,et al.  Defining control strategies for MicroGrids islanded operation , 2006, IEEE Transactions on Power Systems.

[7]  Alberto Bemporad,et al.  Scenario-based model predictive operation control of islanded microgrids , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

[8]  Stephen P. Boyd,et al.  Dynamic Network Energy Management via Proximal Message Passing , 2013, Found. Trends Optim..

[9]  Daniel Pérez Palomar,et al.  Demand-Side Management via Distributed Energy Generation and Storage Optimization , 2013, IEEE Transactions on Smart Grid.

[10]  Steven R. Weller,et al.  An optimization-based approach for assessing the benefits of residential battery storage in conjunction with solar PV , 2013, 2013 IREP Symposium Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid.

[11]  Alessandro Astolfi,et al.  Conditions for stability of droop-controlled inverter-based microgrids , 2014, Autom..

[12]  Mohammad Yusri Hassan,et al.  Operation and control strategies of integrated distributed energy resources: A review , 2015 .

[13]  John N. Tsitsiklis,et al.  Parallel and distributed computation , 1989 .

[14]  Steven R. Weller,et al.  Residential load and rooftop PV generation: an Australian distribution network dataset , 2017 .

[15]  Stephen P. Boyd,et al.  Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..

[16]  P. Asmus Microgrids, Virtual Power Plants and Our Distributed Energy Future , 2010 .

[17]  Karl Worthmann,et al.  Distributed Control of Residential Energy Systems using a Market Maker , 2014 .

[18]  Steven R. Weller,et al.  An optimization-based approach to scheduling residential battery storage with solar PV: Assessing customer benefit , 2015 .