Optimization Algorithm for Combined Economic and Emission Dispatch with Security Constraints

A power system operation at minimum cost is no longer the only criterion for electrical power dispatch. Combined economic emission dispatch problem is obtained by considering both the economy and emission objectives with required constraints. This problem can be solving optimization techniques. Many optimization techniques are slow for such complex optimization tasks and are not suitable for on-line use. This paper presents an optimization algorithm, for solving security constrained combined economic emission dispatch problem, through the application of programming method. The proposed method has been tested on IEEE 30-bus test system and found to be suitable for on-line combined economic emission dispatch.

[1]  Kit Po Wong,et al.  Evolutionary programming based optimal power flow algorithm , 1999 .

[2]  T. Yalcinoz,et al.  A multiobjective optimization method to environmental economic dispatch , 2007 .

[3]  R. Bharathi,et al.  Optimization of combined economic and emission dispatch problem — A comparative study , 2007, 2007 International Power Engineering Conference (IPEC 2007).

[4]  K.Y. Lee,et al.  Multi-Objective Evolutionary Programming for Economic Emission Dispatch problem , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[5]  Narayana Prasad Padhy,et al.  Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints , 2003 .

[6]  J. Zahavi,et al.  Economic-environmental power dispatch , 1974 .

[7]  Malabika Basu,et al.  A simulated annealing-based goal-attainment method for economic emission load dispatch of fixed head hydrothermal power systems , 2005 .

[8]  Manjaree Pandit,et al.  Modified neo-fuzzy neuron-based approach for economic and environmental optimal power dispatch , 2008, Appl. Soft Comput..

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

[10]  Ming-Tong Tsay,et al.  Scheduling of cogeneration plants considering electricity wheeling using enhanced immune algorithm , 2005 .

[11]  M. Muslu Economic dispatch with environmental considerations: tradeoff curves and emission reduction rates , 2004 .

[12]  J. Yuryevich,et al.  Evolutionary-programming-based algorithm for environmentally-constrained economic dispatch , 1998 .

[13]  Shin-Der Chen,et al.  A direct Newton–Raphson economic emission dispatch , 2003 .

[14]  Chao-Lung Chiang,et al.  Optimal economic emission dispatch of hydrothermal power systems , 2007 .

[15]  J.B. Cadogan,et al.  Sulfur oxide emissions management for electric power systems , 1977, IEEE Transactions on Power Apparatus and Systems.

[16]  Lingfeng Wang,et al.  Stochastic economic emission load dispatch through a modified particle swarm optimization algorithm , 2008 .

[17]  Chandrabose Aravindan,et al.  On-line emission and economic load dispatch using adaptive Hopfield neural network , 2003, Appl. Soft Comput..

[18]  Lingfeng Wang,et al.  Reserve-constrained multiarea environmental/economic dispatch based on particle swarm optimization with local search , 2009, Eng. Appl. Artif. Intell..

[19]  S. Hemamalini,et al.  Emission constrained economic dispatch with valve-point effect using particle swarm optimization , 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.

[20]  M. Abido Environmental/economic power dispatch using multiobjective evolutionary algorithms , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[21]  A. A. Abido,et al.  A new multiobjective evolutionary algorithm for environmental/economic power dispatch , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[22]  Lingfeng Wang,et al.  Balancing risk and cost in fuzzy economic dispatch including wind power penetration based on particle swarm optimization , 2008 .

[23]  T.S. Prasanna,et al.  Fuzzy mutated evolutionary programming based algorithm for combined economic and emission dispatch , 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.

[24]  Lingfeng Wang,et al.  Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm , 2007 .

[25]  Li Xuebin RETRACTED: Study of multi-objective optimization and multi-attribute decision-making for economic and environmental power dispatch , 2009 .

[26]  Samir Sayah,et al.  Optimal power flow with environmental constraint using a fast successive linear programming algorithm: Application to the algerian power system , 2008 .

[27]  Malabika Basu,et al.  Dynamic economic emission dispatch using nondominated sorting genetic algorithm-II , 2008 .

[28]  Manjaree Pandit,et al.  Hybrid neuro-fuzzy system for power generation control with environmental constraints , 2008 .

[29]  N. S. Babu,et al.  Analytical solution for combined economic and emissions dispatch , 2008 .

[30]  P. Somasundaram,et al.  Application of evolutionary programming to security constrained economic dispatch , 2005 .