Optimal Generation Scheduling of Electrical Power System by Using Hybrid Metaheuristic Search Technique

To fulfil the world’s escalating power demand, fossil-fuel usage is increasing day by day, resulting in rising fuel costs. Furthermore, we are obliged to employ renewable energy sources in combination with fossil fuel energy owing to diminishing fossil fuel supplies and environmental concerns such as pollution and global warming. Solar and Plugin Electrical vehicle energy is a rapidly developing renewable energy resource that can supply enough electricity to meet demand. Due to their intermittent nature, it is difficult to completely rely on renewable energy resources hence they are always integrated with the thermal unit systems. This research provides a unique hybrid optimization methodology to solve the generation scheduling problem of thermal power units along with Solar and EV considerations. A heuristic search approach is used to fix various restrictions such as MDT MUT, spinning reserve, and decommitment of excess units. The proposed method is applied on the system for three test cases having 10-unit thermal generating units only and a solar unit and EV unit connected to a 10 unit Thermal system respectively. The result obtain by the Proposed hybrid algorithm is better than other previous reported algorithms. Convergence curves are given to justify the robustness of the proposed algorithm.