An effective approach for deriving and evaluating approximate optimal design solutions of energy supply systems by time series aggregation

It is important to design multi-energy supply systems optimally in consideration of their operations for variations energy demands. An approach efficiently solving such an optimal problem with a large number periods demands derive approximate solution by time series aggregation. However, does not provide any information on the accuracy value objective function. In this paper, effective aggregation proposed and evaluate proper gap between upper lower bounds function based mixed-integer linear model. accordance aggregation, are relaxed uncertain parameters deriving evaluating it transformed three-level optimization problem, solved applying both robust hierarchical methods. A case study conducted cogeneration system practical configuration, turns out that enables one much smaller gaps as compared those obtained conventional approach.