Energy networks: A modelling framework for European optimal cross-border trades

Understanding of gas and electricity networks and interconnected systems requires a benchmark system to test different methodologies. A mathematical modeling framework has been formulated for energy networks and solutions for optimal cross-border European trades were derived. The results show the importance of combining gas and electricity networks to assess cross-border trade to minimize risk and ensure security across borders and match supply with demand whilst minimizing cost for transmission, but also to provide a unified European energy market. Comparison of simulation results shows a good agreement when compared with the actual data, with an overall correlation of over 90%. A range of supplies options under different conditions can be explored with the dynamic model to ensure a reliable network configuration over the coming decades. This tool could be used in risk limiting dispatch analysis for decision makers to assess operational uncertainties in generation, demand and future trade.

[1]  G. Andersson,et al.  Optimal Power Flow of Multiple Energy Carriers , 2007, IEEE Transactions on Power Systems.

[2]  T. Smieja,et al.  Development and Setup of the first European-wide real-time Awareness System (EAS) for the Transmission System Operators of ENTSO-E , 2012 .

[3]  R. Larson,et al.  Optimization of natural-gas pipeline systems via dynamic programming , 1968 .

[4]  Janusz Bialek,et al.  Approximate model of European interconnected system as a benchmark system to study effects of cross-border trades , 2005 .

[5]  Catalina Spataru,et al.  Optimizing Building Energy Systems and Controls for Energy and Environment Policy , 2013 .

[6]  Goran Strbac,et al.  Multi-time period combined gas and electricity network optimisation , 2008 .

[7]  Gary W. Chang,et al.  Power System Analysis , 1994 .

[8]  Andrzej J. Osiadacz Osiadacz,et al.  Simulation and Analysis of Gas Networks , 1987 .

[9]  Catalina Spataru,et al.  The importance of optimization and controls in future intelligent grids , 2013, 2013 IEEE Grenoble Conference.

[10]  T. W. Gedra,et al.  Natural gas and electricity optimal power flow , 2003, 2003 IEEE PES Transmission and Distribution Conference and Exposition (IEEE Cat. No.03CH37495).

[11]  Michèle Arnold,et al.  Decomposed Electricity and Natural Gas Optimal Power Flow , 2008 .

[12]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[13]  C. Canizares,et al.  Optimal Energy Flow of integrated energy systems with hydrogen economy considerations , 2007, 2007 iREP Symposium - Bulk Power System Dynamics and Control - VII. Revitalizing Operational Reliability.

[14]  Thilo Krause,et al.  Electrical Power Vision 2040 for Europe , 2012 .

[15]  Mohammad Shahidehpour,et al.  Impact of Natural Gas Infrastructure on Electric Power Systems , 2005, Proceedings of the IEEE.

[16]  Catalina Spataru,et al.  The smart supper- European grid: Balancing demand and supply , 2012, 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).

[17]  A.C.Z. de Souza,et al.  Modeling the Integrated Natural Gas and Electricity Optimal Power Flow , 2007, 2007 IEEE Power Engineering Society General Meeting.