A detailed MILP optimization model for combined cooling, heat and power system operation planning

摘要: A detailed optimization model is presented for planning the short-term operation of combined cooling, heat and power (CCHP) energy systems. The purpose is, given design a cogeneration system, to determine an operating schedule that minimizes total maintenance costs minus revenue due electricity sold grid, while taking into account time-varying loads, tariffs ambient conditions. considers simultaneous use different prime movers (generating heat), boilers, compression pumps chillers, absorption chillers satisfy electricity, cooling demands. Heat load can be stored in storage tanks. Units have one or two operative variables, highly nonlinear performance curves describing their off-design behavior, limitations penalizations affecting start-up/shut-down operations. To exploit effectiveness state-of-the-art Mixed Integer Linear Program (MILP) solvers, resulting Nonlinear Programming (MINLP) converted MILP by appropriate piecewise linear approximation curves. model, written AMPL modeling language, has been tested on several plant test cases. computational results are discussed terms quality solutions, linearization accuracy time.