A Novel Algorithm for Economic Load Dispatch Using a New Optimization Technique
Economic load dispatch is one of fundamental issues in optimal power system operation. Several classical and modern heuristic techniques have been used to solve the problem. A novel algorithm is presented in this paper for solving economic load dispatch problem using a recently introduced simple yet powerful optimization technique called Jaya algorithm (JA). Most of the modern heuristic techniques require setting of control parameters which are usually problem specific. Moreover, there is no specific rule for the selection of these user-defined control parameters for most of the heuristic techniques. A wrong parameter may even lead to premature convergence. One of the major advantages in the proposed algorithm is that it does not require any problem-dependent control parameters. The economic load dispatch (ELD) problem is formulated by considering prohibited zones, ramp rate limits, and transmission losses satisfying a set of equality and inequality constraints. The proposed algorithm is tested on a six-unit test system in order to verify its effectiveness and efficiency. The simulation results are compared with those obtained by modern heuristic techniques. The simulation results show that the proposed technique has the capability of producing comparable results.
KeywordsEconomic load dispatch Ramp rate limits Prohibited operating Zone Loss Jaya algorithm
- 6.Sahoo, S., Mahesh Dash, K., Prusty, R.C., Barisal, A.K.: Comparative analysis of optimal load dispatch through evolutionary algorithms. Ain Shams Eng. J. 6, 107–120 (2015)Google Scholar
- 9.Song, Y.H., Chou, C.S., Stonham, T.J.: Combined heat and power economic dispatch by improved ant colony search algorithm. Electr. Power Syst. Res. 52(2), 115–121 (1999)Google Scholar
- 14.Ponnusamy, A., Rengarajan, N.: Optimal power flow solution using cuckoo search algorithm. ARPN J. Eng. Appl. Sci. 9(12), 2687–2691 (2014)Google Scholar
- 17.Rao, R.V.: Jaya: a simple and new optimization algorithm for solving constrained and unconstrained optimization problems. Int. J. Ind. Eng. Comput. 7, 17–34 (2016)Google Scholar