Multi-area coordinated decentralized DC optimal power flow

This paper provides a framework to carry out a multi-area optimal power flow in a coordinated decentralized fashion. A DC nonlinear optimal power flow model is used. Losses are incorporated through additional loads based on cosine approximations. The model makes it possible the independent optimal dispatch of each area while the global economical optimum of the whole electric energy system is achieved. This is possible by means of the Lagrangian relaxation decomposition procedure. Optimal energy pricing rates for the energy traded through the interconnections are derived. The developed algorithm can be run in parallel either to carry out numerical simulations or in an actual multi-area electric energy system.

[1]  Probability Subcommittee,et al.  IEEE Reliability Test System , 1979, IEEE Transactions on Power Apparatus and Systems.

[2]  A. Merlin,et al.  A New Method for Unit Commitment at Electricite De France , 1983, IEEE Transactions on Power Apparatus and Systems.

[3]  Francisco D. Galiana,et al.  Towards a more rigorous and practical unit commitment by Lagrangian relaxation , 1988 .

[4]  S. M. Shahidehpour,et al.  Power generation scheduling for multi-area hydro-thermal systems with tie line constraints, cascaded reservoirs and uncertain data , 1993 .

[5]  Peter B. Luh,et al.  Scheduling of hydrothermal power systems , 1993 .

[6]  R. Adapa,et al.  Multi-area unit commitment via sequential method and a DC power flow network model , 1994 .

[7]  A. A. El-Keib,et al.  Environmentally constrained economic dispatch using the LaGrangian relaxation method , 1994 .

[8]  T. Gomez,et al.  Feasibility Studies of a Power Interconnection System for Central American Countries: SIEPAC Project , 1994, IEEE Power Engineering Review.

[9]  S. M. Shahidehpour,et al.  Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation , 1995 .

[10]  Feng Xia,et al.  A methodology for probabilistic simultaneous transfer capability analysis , 1996 .

[11]  Ross Baldick,et al.  Coarse-grained distributed optimal power flow , 1997 .

[12]  Peter B. Luh,et al.  An algorithm for solving the dual problem of hydrothermal scheduling , 1998 .