Fuzzy multiobjective nonlinear operation planning in district heating and cooling plants

This paper formulates an operation planning problem of an actual district heating and cooling plant as a multiobjective nonlinear programming problem. For the formulated multiobjective nonlinear programming problem, an interactive fuzzy satisficing method to derive a satisficing solution for the decision maker is presented. Observing the problem is nonconvex and involves hundreds of decision variables, an approximate solution method through particle swarm optimization for nonlinear programming is introduced. Using the operation planning problem of an actual district heating and cooling plant, the feasibility and effectiveness of the proposed method are investigated.