چکیده مقاله
Economic utilization of available fossil fuels for power generation has become an important issue for electric utilities The optimal short term fuel scheduling of the thermal units has been carried out by the particle swarm optimization, group search algorithm and the evolutionary programming method In this paper, a nonlinear fuel scheduling problem is optimized under the convex over and under envelopes for nonlinear estimation COUENNE solver of the generalized algebraic mathematical modeling system GAMS to minimize the daily fuel cost and emission footprint of the thermal units considering the power balance constraint and the fuel delivery and storage limits The lower and upper levels of the fuel delivered to each power plant, minimum and maximum volumes of fuel storage, power generation capacity, and the initial fuel storage of the thermal units are considered in simulations Numerical results obtained from solving the optimal fuel scheduling strategy indicates that the COUENNE algorithm converges to more accurate and better operating scenarios for thermal power plants than other metaheuristic algorithms
کلیدواژهها
نویسندگان
Farkhondeh Jabari
Faculty of Electrical and Computer Engineering, University of Tabriz
Behnam Mohammad-Ivatloo
Faculty of Electrical and Computer Engineering, University of Tabriz
شیوه ارجاع
Jabari, Farkhondeh and Mohammad-Ivatloo, Behnam,1399,Optimal Fuel Scheduling of Thermal Units Considering Fuel Delivery and Storage Constraints,Third International Conference on Interdisciplinary Research in Electrical, Computer, Mechanics and Mechatronics Engineering in Iran and Islamic World,Karaj
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مجموعه مقالات سومین کنفرانس بین المللی تحقیقات بین رشته ای در مهندسی برق، کامپیوتر، مکانیک و مکاترونیک در ایران و جهان اسلام30 شهریور 1399 · کرج