Economic Load Dispatch with Practical Constraints using Mountaineering Team-Based Optimization Technique
Keywords:
ant lion optimization, economic load dispatch, flower pollination algorithm, grey wolf optimization, mountaineering team based optimization, prohibited operating zone, valve-point effectAbstract
In order to resolve the issue of economic load dispatch (ELD), this research presents a novel metaheuristic optimization approach called mountaineering team based optimization (MTBO). The MTBO approach, which prioritizes human connection and teamwork, takes into account regular incidents on a mountain peak route. These kinds of techniques assess the leader's expertise, the complexity of the climb, and the potential for the team as a whole to become stuck in a suboptimal state of performance. The organization and social support of the organization are also thought to protect members against widespread calamities. The effectiveness of the proposed strategy was evaluated using six ELD instances by including various practical limitations like valve-point effect (VPE), prohibited operating zone (POZs) and ramp rate limit (RRL). The ELD problem are solved using the MTBO in conjunction with other optimization techniques, such as the ant lion optimization (ALO), grey wolf optimization (GWO) and flower pollination algorithm (FPA), and. The MTBO method is superior to other approaches in terms of its efficacy in optimising global solutions, as well as its robustness and ease of application.
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