Backtracking search optimization based economic environmental power dispatch problems

• The paper has solved different economic emission load dispatch (EELD) problems.
• The paper considered both single and multi-objective emission dispatch problems.
• Backtracking search optimization (BSA) is applied here.
• Performance of BSA has been compared with many recent optimization techniques.
• Performance of BSA found to be more cheering to solve EELD problems.

This paper presents the solution for a nonlinear constrained multi objective of the economic and emission load dispatch (EELD) problem of thermal generators of power systems by means of the backtracking search optimization technique. Emission substance like NOX, power demand equality constraint and operating limit constraint are considered here. The aim of backtracking search optimization (BSA) is to find a global solution under the influence of two new crossover and mutation operations. BSA has capability to deal with multimodal problems due to its powerful exploration and exploitation capability. BSA is out of excessive sensitivity to control parameters as it has single control parameter. The performance of BSA is compared with existing newly developed optimization techniques in terms quality of solution obtained, computational efficiency and robustness for multi objective problems.