Flower Pollination Algorithm Applied for Different Economic Load Dispatch Problems

Economic load dispatch (ELD) is the main optimization task in power system operation. Minimizing the fuel cost by optimally setting the real power outputs from generators is the objective of ELD problem. In this work, ELD problem is addressed by considering three different cost functions. Real power generations are adjusted for minimizing the fuel cost by using flower pollination algorithm (FOA). This algorithm works on the basis of pollinating behavior of flowering plants. Unlike the other nature inspired algorithms, it follows only the levy flight mechanism for generating the population for the next generation. Being free from large number of parameters, the algorithm works well and there is no much difficulty in tuning to suit for different problems. The algorithm can be coded easily in any programming language. The proposed algorithm is tested on the standard IEEE-30 bus system and the results are compared with those of the other algorithms reported in the literature. The results are found to be improved and encouraging.

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

[2]  S Sakthivel,et al.  Reactive Power Optimization for Voltage Stability Limit Improvement Incorporating TCSC Device through DE/PSO under Contingency Condition , 2012 .

[3]  Samir Sayah,et al.  Modified differential evolution algorithm for optimal power flow with non-smooth cost functions , 2008 .

[4]  C. Thitithamrongchai,et al.  Self-adaptive Differential Evolution Based Optimal Power Flow for Units with Non-smooth Fuel Cost Functions , 2007 .

[5]  Weerakorn Ongsakul,et al.  Optimal Power Flow by Improved Evolutionary Programming , 2006 .

[6]  Adam Semlyen,et al.  Hydrothermal optimal power flow based on a combined linear and nonlinear programming methodology , 1989 .

[7]  M. A. Abido,et al.  A niched Pareto genetic algorithm for multiobjective environmental/economic dispatch , 2003 .

[8]  Yousria Abo-Elnaga,et al.  Multi-objective economic emission load dispatch problem with trust-region strategy , 2014 .

[9]  A. Semlyen,et al.  Hydrothermal Optimal Power Flow Based on a Combined Linear and Nonlinear Programming Methodology , 1989, IEEE Power Engineering Review.

[10]  Hongbin Sun,et al.  Big-M Based MIQP Method for Economic Dispatch With Disjoint Prohibited Zones , 2014, IEEE Transactions on Power Systems.

[11]  Xin-She Yang,et al.  Multi-Objective Flower Algorithm for Optimization , 2014, ICCS.

[12]  L. Coelho,et al.  Combining of chaotic differential evolution and quadratic programming for economic dispatch optimization with valve-point effect , 2006, IEEE Transactions on Power Systems.

[13]  Narayana Prasad Padhy,et al.  Evolutionary Programming Based Optimal Power Flow for Units with Non-Smooth Fuel Cost Functions , 2004 .