MODIFIED PARTICLE SWARM OPTIMIZATION: A SOLUTION OF ECONOMIC LOAD DISPATCH PROBLEM FOR AN ISLANDED MICROGRID
DOI:
https://doi.org/10.11113/aej.v16.25215Keywords:
Economic Load Dispatch, Islanded Microgrid, Paritcle Swarm Optimization, Economic load dispatch, renewable energy sources, islanded microgrid, Modified particle swarm optimization (M-PSO), optimal solutions.Abstract
Economic load dispatch (ELD) in power generation has evolved from prioritizing cost optimization using conventional fossil-fuel generators to emphasizing the incorporation of renewable energy (RE) sources. Several studies have been conducted to non-convex ELD problems by using particle swarm optimization (PSO). However, this solution suffers to trap at local minima especially for multimodal problems. Therefore, in this study modified particle swarm optimization (M-PSO) algorithm incorporating velocity and position clamping strategy is proposed to address the challenges in islanded microgrid (MG) considering thermal, solar and wind units. This strategy regulates the particle movement to prevent divergence and enforce boundary constraints, ensuring feasible and stable convergence. This enhances solution quality by maintaining a controlled exploration-exploitation trade-off within the defined search space. The proposed M-PSO has been tested under two different ELD problem scenarios; 1) ELD with thermal generators, 2) ELD with thermal generators, solar and wind units. The proposed M-PSO can minimize the total cost about 5.2457% in the scenario-2 as compared scenario-1. The proposed M-PSO algorithm provided significant cost savings of 0.6334% in scenario-1 and 9.0427% in scenario-2 when compared to the reduced gradient method (RGM) algorithm.
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