Basmh Alkanjr, Imad Mahgoub
Location Privacy-Preserving Scheme in IoBT Networks Using Deception-Based Techniques
Sensors (Basel, Switzerland)
paper multiobjective optimal power flow moopf problem optimization objectives focus four optimization objectives generation cost emission real power loss voltage deviation vd three renewable energy sources successful industrial applications including wind energy solar energy tidal energy introduced renewable energy supply uncertain weibull distribution probability lognormal probability gumbel probability used calculate instability intermittency wind energy solar energy tidal energy respectively inclusion four energy supplies ieee30 test system consideration renewable energy reserves penalty cost calculation improve realism model order obtain control parameters minimize four optimization objectives named multiobjective pathfinder algorithm mopfa based elite dominance crowding distance proposed solve multiobjective optimization problem simulation results show feasibility model mopfa get evenly distributed pareto front provide diverse solutions compromise solution selected fuzzy decision system comparison recently published literature also shows proposed model effectively reduce emissions indicators addition statistical test results show mopfas multiobjective optimization performance ranks first solving complex optimization problem results show mopfa superior multiobjective algorithms optimization accuracy speed