Network Condition Based Adaptive Control and its Application to Power Balancing in Electrical Grids

Abstract To maintain a reliable and stable power grid there must be balance between consumption and production. To achieve power balance in a system with high penetration of distributed renewable resources and flexible assets, these individual system can be coordinated through a control unit to become part of the power balancing effort. Such control strategies require communication networks for exchange of control loop information. In this work, we show how a congested communication network can have a dramatic impact on the control performance of such a power balancing controller. To alleviate potential stability issues and increase control performance, an adaptive control design is proposed together with a communication network state estimation algorithm. Extensive simulation studies on a realistic model of a low voltage residential grid, using network traces obtained from a real powerline network, show significant performance improvement when the adaptive controller is used.

[1]  Driton Statovci,et al.  Measurement and simulation framework for throughput evaluation of narrowband power line communication links in low-voltage grids , 2016, J. Netw. Comput. Appl..

[2]  Richard M. Murray,et al.  Consensus problems in networks of agents with switching topology and time-delays , 2004, IEEE Transactions on Automatic Control.

[3]  Thomas Strasser,et al.  IEC 61850/61499 Control of Distributed Energy Resources: Concept, Guidelines, and Implementation , 2014, IEEE Transactions on Energy Conversion.

[4]  Rafael Wisniewski,et al.  DiSC: A simulation framework for distribution system voltage control , 2015, 2015 European Control Conference (ECC).

[5]  R. Vanijjirattikhan,et al.  Comparison of real-time network traffic estimator models in gain scheduler middleware by unmanned ground vehicle network-based controller , 2005, 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005..

[6]  Hans-Peter Schwefel,et al.  Test-bed assessment of communication technologies for a power-balancing controller , 2016, 2016 IEEE International Energy Conference (ENERGYCON).

[7]  Rafael Wisniewski,et al.  Output Regulation of Large-Scale Hydraulic Networks , 2014, IEEE Transactions on Control Systems Technology.

[8]  Saifur Rahman,et al.  Communication network requirements for major smart grid applications in HAN, NAN and WAN , 2014, Comput. Networks.

[9]  A. Jadbabaie,et al.  Synchronization in Oscillator Networks: Switching Topologies and Non-homogeneous Delays , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[10]  Jesper Grønbæk,et al.  Probabilistic Network Fault-Diagnosis Using Cross-Layer Observations , 2009, 2009 International Conference on Advanced Information Networking and Applications.

[11]  Josep M. Guerrero,et al.  Stability, power sharing, & distributed secondary control in droop-controlled microgrids , 2013, 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[12]  Hans-Peter Schwefel,et al.  Evaluation of communication network state estimators for adaptive power-balancing , 2016, Computer Science - Research and Development.

[13]  N. Hatziargyriou,et al.  Microgrids: an overview of ongoing research, development, anddemonstration projects , 2007 .

[14]  Zhong-Ping Jiang,et al.  Analysis of Voltage Profile Problems Due to the Penetration of Distributed Generation in Low-Voltage Secondary Distribution Networks , 2012, IEEE Transactions on Power Delivery.

[15]  Kevin Tomsovic,et al.  Designing the Next Generation of Real-Time Control, Communication, and Computations for Large Power Systems , 2005, Proceedings of the IEEE.

[16]  Tongwen Chen,et al.  Wide-Area Control of Power Systems Through Delayed Network Communication , 2012, IEEE Transactions on Control Systems Technology.

[17]  Wei Ren,et al.  Consensus based formation control strategies for multi-vehicle systems , 2006, 2006 American Control Conference.