A co-simulation framework for Smart Grid wide-area monitoring networks

The next generation of the electrical power grid, called the Smart Grid, overcomes the deficiencies of the existing system using several Information and Communication Technology (ICT) mechanisms. One such mechanism is wide-area grid monitoring based on phasor measurement units (PMU). The data from these units are communicated to several applications (such as control, market brokerage, etc.) using a communication network framework called the North American Synchro-Phasor Initiative Network (NASPInet). To understand the performance and to guide design decisions of wide-area monitoring based Smart Grid applications, there is a need for a simulator that has both power system and communication system simulation capabilities. In this paper, we present a co-simulation framework developed using two existing public-domain simulators (OpenDSS and OMNET++ respectively for power systems and communication networks simulation). The former is based on continuous-time and the latter on discrete-time simulation. The proposed framework also deals with the time synchronization between these two systems. This framework has been implemented at IIT Madras for public use. A hybrid state estimation application, a voltage monitoring application and a renewable energy integration application are implemented over this framework. The results obtained from the applications verify their field correctness and also validate the correctness of the co-simulation framework.

[1]  Nada Golmie,et al.  NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 1.0 , 2010 .

[2]  G. Manimaran,et al.  NASPInet Specification - An Important Step toward Its Implementation , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[3]  Kaushik Das,et al.  Real-time hybrid state estimation incorporating SCADA and PMU measurements , 2012, 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).

[4]  Nada Golmie,et al.  Modeling Smart Grid Applications with Co-Simulation , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[5]  Thomas A. Stuart,et al.  A Sensitivity Analysis of Weighted Least Squares State Estimation for Power Systems , 1973 .

[6]  Lamine Mili,et al.  Power system and communication network co-simulation for smart grid applications , 2011, ISGT 2011.

[7]  Vincenzo Liberatore,et al.  Smart grid communication and co-simulation , 2011, IEEE 2011 EnergyTech.

[8]  Carl H. Hauser,et al.  Delivery Requirements and Implementation Guidelines for the NASPInet Data Bus , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[9]  J. Nutaro,et al.  Integrated Hybrid-Simulation of Electric Power and Communications Systems , 2007, 2007 IEEE Power Engineering Society General Meeting.

[10]  Zhao Li,et al.  A renewable energy integration application in a MicroGrid based on model predictive control , 2012, 2012 IEEE Power and Energy Society General Meeting.

[11]  Nada Golmie,et al.  NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 3.0 , 2014 .

[12]  R. Giovanini,et al.  EPOCHS: a platform for agent-based electric power and communication simulation built from commercial off-the-shelf components , 2006, IEEE Transactions on Power Systems.