Optimization in the Energy Industry
Josef Kallrath, Panos M. Pardalos, Steffen Rebennack, Max Scheidt
Springer Science & Business Media, Dec 25, 2008 - Mathematics - 534 pages
This book offers a broad, in-depth overview that reflects the requirements, possibilities and limits of mathematical optimization and, especially, stochastic optimization in the energy industry.
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acid algorithm anaerobic digestion analysis applications approach bilinear biomass boiler bound capacity carbon centroid clustering coal coeﬃcients components computed considered constraints contribution margin convergence convex CPLEX day-ahead decisions deﬁned demand denotes diﬀerent eﬀect eﬃciency electric power electricity markets emission energy equations feasible ﬁnd ﬁrst ﬁxed ﬂexibility fuel gas turbines global global optimization heat hydrogen inequality inﬂow inﬂuence initial interior point method iteration linear programming load marginal costs mathematical methane methanol method minimal MINLP node nonlinear nuclear objective function operation OPF problem optimal power ﬂow optimization problem parameters particle swarm optimization polygeneration portfolio power losses power plants power system production planning random reactive power reactor reduction risk functionals risk management scenario tree simplex simulation solution solve speciﬁc steam stochastic programming storage suﬃcient syngas technologies tion trading Transactions on Power transmission variables vector voltage wind power wind power production