| Abstract: |
| Multi-Area Multi-Fuel Economic Dispatch (MAMFED) aims to allocate the best generation schedule in each area and
to offer the best power transfers between different areas by minimizing the objective functions among the
available fuel alternatives for each unit while satisfying various constraints in power systems. In this paper, a
Fuzzified Squirrel Search Algorithm (FSSA) algorithm is proposed to solve the single-area multi-fuel economic
dispatch (SAMFED) and MAMFED problems. Squirrel Search Algorithm (SSA) mimics the foraging behavior of
squirrels based on the dynamic jumping and gliding strategies. In the SSA approach, predator presence behavior
and a seasonal monitoring condition are employed to increase the search ability of the algorithm, and to balance
the exploitation and exploration. The suggested approach considers the line losses, valve point loading impacts,
multi-fuel alternatives, and tie-line limits of the power system. Because of the contradicting nature of fuel cost and
pollutant emission objectives, weighted sum approach and price penalty factor are used to transfer the bi-objective
function into a single objective function. Furthermore, a fuzzy decision strategy is introduced to find one of the
Pareto optimal fronts as the best compromised solution. The feasibility of the FSSA is tested on a three-area test
system for both the SAMFED and MAMFED problems. The results of FSSA approach are compared with other
heuristic approaches in the literature. Multi-objective performance indicators such as generational distance, spacing
metric and ratio of non-dominated individuals are evaluated to validate the effectiveness of FSSA. The results
divulge that the FSSA is a promising approach to solve the SAMFED and MAMFED problems while providing a
better compromise solution in comparison with other heuristic approaches. |
| Key words: Fuzzy set theory, Heuristic optimization, Multi-area economic dispatch, Pareto-optimal front, Squirrelsearch algorithm, Tie-line constraint |
| DOI：10.1186/s41601-021-00188-w |
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| Fund: |
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