Electric power system cost/loss optimization using Dynamic Thermal Rating and linear programming

Electric power systems consist of generation, transmission, and distribution components. As the demand for electricity grows seemingly endless, it is expected that a number of constraints, such as environmental, regulatory and economic, prevent the construction of new power plants and transmission lines. Finding improved ways to utilize the capacity supplied by existing power generation facilities and power transmission infrastructure is the problem that engineers, equipment manufacturers, and regulatory agencies are now facing.

[1]  Jong-Bae Park,et al.  A hybrid genetic algorithm/dynamic programming approach to optimal long-term generation expansion planning , 1998 .

[2]  M.W. Davis,et al.  A new thermal rating approach: The real time thermal rating system for strategic overhead conductor transmission lines -- Part I: General description and justification of the real time thermal rating system , 1977, IEEE Transactions on Power Apparatus and Systems.

[3]  Daniel S. Kirschen,et al.  What is spinning reserve , 2005 .

[4]  L. C. Campbell.  Electric Power Transmission System Engineering , 1989 .

[5]  Friedrich Kiessling.  Overhead Power Lines: Planning, Design, Construction , 2003 .

[6]  S. M. Shahidehpour,et al.  Heuristic multi-area unit commitment with economic dispatch , 1991 .

[7]  L. Lai.  Power system restructuring and deregulation : trading, perfomance and information technology , 2001 .

[8]  Friedrich Kiessling,et al.  Overhead Power Lines , 2003 .

[9]  Vishnu Prasad,et al.  Economic dispatch using particle swarm optimization: A review , 2009 .

[10]  Turan Gönen,et al.  Electric Power Transmission System Engineering: Analysis and Design , 1988 .

[11]  F.D. Galiana,et al.  Electrothermal coordination part I: theory and implementation schemes , 2005, IEEE Transactions on Power Systems.

[12]  L. L. Garver,et al.  Transmission Network Estimation Using Linear Programming , 1970 .

[13]  David D. Parrish,et al.  NORTH AMERICAN REGIONAL REANALYSIS , 2006 .

[14]  Jong-Bae Park,et al.  Generation expansion planning based on an advanced evolutionary programming , 1999 .

[15]  Johan A. K. Suykens,et al.  Electric Load Forecasting: Using Kernel-Based Modeling for Nonlinear System Identification , 2007 .

[16]  Mohamed Mostafa Saied.  Assessing the dynamic rating of overhead transmission lines , 2007 .

[17]  H. Selanduray,et al.  Power plant optimization in a regulated environment electricity supply industry: A least cost generation approach , 2008, 2008 IEEE 2nd International Power and Energy Conference.

[18]  Young-Hyun Moon,et al.  A new economic dispatch algorithm for thermal unit generation scheduling in power system , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[19]  Loi Lei Lai,et al.  Power System Restructuring and Deregulation , 2001 .

[20]  Yu Chze. Loh,et al.  Business and financial reporting in the new economy. , 2002 .

[21]  S. N. Singh,et al.  Day-Ahead Self-Scheduling of Thermal Generator in Competitive Electricity Market Using Hybrid PSO , 2009, 2009 15th International Conference on Intelligent System Applications to Power Systems.

[22]  David K. Smith.  Network Flows: Theory, Algorithms, and Applications , 1994 .

[23]  Ravindra K. Ahuja,et al.  Network Flows , 2011 .

[24]  Jana Heckenbergerova,et al.  Identification of critical aging segments and hotspots of power transmission lines , 2010, 2010 9th International Conference on Environment and Electrical Engineering.

[25]  S. M. Shahidehpour,et al.  Effects of ramp-rate limits on unit commitment and economic dispatch , 1993 .

[26]  B. De Moor,et al.  Electric Load Forecasting , 2007, IEEE Control Systems.

[27]  D. R. Swatek.  An expected per-unit rating for overhead transmission lines , 2004 .

[28]  O.A. Ciniglio,et al.  Optimizing transmission path utilization in Idaho Power , 2004, IEEE Transactions on Power Delivery.

[29]  Anjan K. Deb.  Powerline Ampacity System: Theory, Modeling and Applications , 2000 .

[30]  F.D. Galiana,et al.  Electrothermal coordination part II: case studies , 2005, IEEE Transactions on Power Systems.

[31]  R. Adapa,et al.  Dynamic thermal ratings: monitors and calculation methods , 2005, 2005 IEEE Power Engineering Society Inaugural Conference and Exposition in Africa.