International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 156 - Number 3 |
Year of Publication: 2016 |
Authors: R. Saravanan, S. Subramanian, V. Dharamalingam, S. Ganesan |
10.5120/ijca2016912406 |
R. Saravanan, S. Subramanian, V. Dharamalingam, S. Ganesan . Generation Scheduling of Electricity with Integrated Wind-Thermal Units using Grey Wolf Optimization Algorithm. International Journal of Computer Applications. 156, 3 ( Dec 2016), 37-44. DOI=10.5120/ijca2016912406
Integrating wind power with any other energy source in power system has many operational and scheduling complications because of its inconsistent nature in the process ofwind forecasting. In this paper, a new meta-heuristic optimization method named Grey Wolf Optimization algorithm is involved for solving the problem of generation scheduling (GS) to obtain best possible solution in power systems taking into account the load balance, reserve requirement, wind power availability constraints, inequality and equality constraints. The proposed GWO method is applied to a test system involves 40 conventional units and 2 wind farms. The system performance of GWO algorithm is establishedbyevaluating the results obtained for different number of trails and various iterationsfor five different populations. Calculation of the solution for different populations in the systemdiscloses that the best optimal scheduleachieved by Grey Wolf Optimization algorithm.