A framework for control and co-simulation in distribution networks applied to electric vehicle charging with Vehicle-Originating-Signals

The increasing share of renewable energy sources and distributed energy generation (DER) in the energy mix brings a number of challenges to the power system, particularly to the distribution network (DN). New control methods and algorithms are being studied to address these challenges, but the effects of such algorithms on actual DNs are often difficult to validate. Co-simulation, considering the advanced state of existing DN simulation tools, is a potential solution but usually requires some degree of expertise. In this work, we introduce a framework for implementing control algorithms for DNs assisted by co-simulation. This framework uses the commercial simulator PowerFactory but does not require a high tool-specific expertise and can be integrated into other simulation tools. Then we apply this framework to an electric vehicle charging use case and show the results and benefits. Furthermore we extend an existing charging control algorithm to support local voltage control.

[1]  W. L. Kling,et al.  Social interaction interface for performance analysis of smart grids , 2011, 2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS).

[2]  Krishna M. Sivalingam,et al.  A co-simulation framework for Smart Grid wide-area monitoring networks , 2014, 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS).

[3]  Chin Kim Gan,et al.  The impact of electric vehicle charging on a residential low voltage distribution network in Malaysia , 2014, 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).

[4]  Hans-Arno Jacobsen,et al.  Reducing communication requirements for electric vehicle charging using vehicle-originating-signals , 2014, 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[5]  Roman Schwalbe,et al.  Steady-state co-simulation with PowerFactory , 2013, 2013 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES).

[6]  Thomas J. Overbye,et al.  Visualizing the electric grid , 2001 .

[7]  Ying Chen,et al.  A co-simulation platform for smart grid considering interaction between information and power systems , 2014, ISGT 2014.

[8]  Sandra Hirche,et al.  Alternating Direction Method of Multipliers for decentralized electric vehicle charging control , 2013, 52nd IEEE Conference on Decision and Control.

[9]  P Frías,et al.  Assessment of the Impact of Plug-in Electric Vehicles on Distribution Networks , 2011, IEEE Transactions on Power Systems.

[10]  Siddharth Suryanarayanan,et al.  A Framework for Co-simulation of AI Tools with Power Systems Analysis Software , 2012, 2012 23rd International Workshop on Database and Expert Systems Applications.

[11]  Antonello Monti,et al.  A two-step simulation approach for joint analysis of power systems and communication infrastructures , 2013, IEEE PES ISGT Europe 2013.

[12]  M. H. Nehrir,et al.  Tools for Analysis and Design of Distributed Resources—Part II: Tools for Planning, Analysis and Design of Distribution Networks With Distributed Resources , 2011, IEEE Transactions on Power Delivery.

[13]  Wes Sunderman,et al.  Using open source modeling tools to enhance engineering analysis , 2014, 2014 IEEE Rural Electric Power Conference (REPC).

[14]  Xin Kong,et al.  Co-simulation of a marine electrical power system using PowerFactory and MATLAB/Simulink , 2013, 2013 IEEE Electric Ship Technologies Symposium (ESTS).

[15]  Hans-Arno Jacobsen,et al.  Vehicle-Originating-Signals for Real-Time Charging Control of Electric Vehicle Fleets , 2015, IEEE Transactions on Transportation Electrification.

[16]  Christian Rehtanz,et al.  Exchangeability of power flow simulators in smart grid co-simulations with mosaik , 2015, 2015 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES).

[17]  M. Pipattanasomporn,et al.  Real-time co-simulation platform using OPAL-RT and OPNET for analyzing smart grid performance , 2015, 2015 IEEE Power & Energy Society General Meeting.

[18]  Sandeep K. Shukla,et al.  GECO: Global Event-Driven Co-Simulation Framework for Interconnected Power System and Communication Network , 2012, IEEE Transactions on Smart Grid.

[19]  Adnan Bosovic,et al.  Analysis of the impacts of plug-in electric vehicle charging on the part of a real medium voltage distribution network , 2014, IEEE PES Innovative Smart Grid Technologies, Europe.