Opposition Based Teaching Learning Optimization For Combined Economic Emission Dispatch Problem

D. Sai Krishna Kanth, SS Deekshit, MG Mahesh
2019 International Journal of Advanced Scientific Technologies, Engineering and Management Sciences  
Cost minimization of power generation is one of the most important powers for generation in a power system. The aim of this Project is to find the optimum set of power to be generated for a given loading conditions. In this Project, a new algorithm opposition based teaching learning based optimization is developed and applied to ED problem. The proposed OTLBO do not have the drawbacks of the classical heuristics such as local optimal trapping due to premature convergence, insufficient
more » ... to find nearby extreme points, and lack of efficient mechanism to treat the constraints. The algorithm describes two basic modes of the learning: (i) through teacher (known as teacher phase) and (ii) interacting with the other learners (known as learner phase). The effectiveness and feasibility of the proposed OTLBO method were demonstrated on 6 and 10-unit test systems and then compared with other algorithms like PSO and HSA. The experiments showed that the proposed approach was capable of determining higher quality solution while addressing the complex ED problems.
doi:10.22413/ijastems/2019/v5/i5/49610 fatcat:dao2kafl2vazzfohlslmuoqdwm