Application of ε-constraints method based on Hammersley sequence sampling to multi-objective optimization of CCHP system

Abstract

The CCHP system is a distributed energy supply system that supplies cooling, heating and electricity to specific areas or buildings. Compared with traditional centralized energy supply systems, optimization of the entire system is inevitable due to the large number of degrees of freedom introduced by the types of equipment. There are many evaluation criteria for CCHP system, which makes the optimization model become a complex multi-objective optimization problem rather than single-objective optimization problem. Application of ε-constraints method based on hammersley sequence sampling (HSS) method to multi-objective optimization successfully solves the problem of difficult meshing in high-dimensional objective space. In this work, a Mixed Integer Nonlinear Programming (MINLP) model of a CCHP system is established, and the above method is used to optimize the operation of the CCHP syetem, which proves the practicability and feasibility of the method.