| Popis: |
Economic Dispatch (ED) in Combined Heat and Power Systems (CHPSs) is critical for optimising fuel costs while managing Power-Only (PO), CHP, and Heat-Only (HO) stations. Robust optimisation strategies are necessary to tackle the growing non-convexity of the ED issue, particularly when considering transmission losses. This research introduces a Modified Artificial Hummingbird Optimisation Algorithm (MAHOA) that integrates a linear controlling strategy and various territorial foraging tactics to enhance global and local search capabilities. These enhancements facilitate coordinated diversification and intensification activities, leading to more effective problem-solving. The MAHOA is compared to the conventional AHOA through testing on 7-station and 24-station CHPS systems. Three distinct power and heat loading levels are investigated. For the 7-station CHPS, the MAHOA showed significant improvements in robustness, with the lowest standard deviations of 0.0017, 3.373, and 0.0233 $/hr, indicating 99.83 %, 35.92 %, and 98.22 % improvements over the AHOA. For the 24-station CHPS, it also shows significant improvements of 0.381 %, 0.45 %, 0.448 %, and 2.815 % in terms of mean, minimum, standard deviation, and maximum values. The MAHOA outperforms the AHOA in 95 % of the simulation runs with faster convergence to optimal solutions. Compared to other methods reported in the literature, the MAHOA offers a viable and superior solution mechanism. |
