Solving Economic Load Dispatch Problem with Mountaineering Team-Based Optimization Technique

The Economic load dispatch (ELD) optimally allocating available generating units based on required load demand by satisfying the constraints. Based on the input output characteristics of boiler-turbine-generator set the operating cost is a convex cost function. Under practical condition including the valve point effect (VPE), ramp rate limits (RRL), prohibited operating zones (POZs) and multiple fuels makes the cost function as non-convex and ELD is a complex problem. In order to handle complex ELD problem, a novel human intelligence-based metaheuristic optimization technique called the mountaineering team-based optimization (MTBO) algorithm is proposed in this paper. The MTBO algorithm is based on the social behaviour of people as they climb mountains. In order to solve optimization problems, the proposed MTBO algorithm captures the phases of the regular and guided movement of climbers based on the leader's experience, barriers to reaching the peak and becoming stuck in local optimality, and the coordination and social cooperation of the group to protect members from natural hazards. To evaluate the efficiency of the suggested algorithm, three different cases are considered to solve the ELD problem. The MTBO method outperforms the competition in terms of robustness, ease of implementation, effective optimization performance for optimal global solutions.