A multi-objective evaluation method for distributed integrated energy system

In this paper, a multi-objective mathematical model concerning the optimization of ecology, economy and environment benefits in a distributed integrated energy system (IES) is proposed. Compared with the traditional evaluation methods, e.g. Analytic Hierarchy Process (AHP), this method is based on the Pareto Front (PF) of the multi-objective optimization model, in which the multi-objective potential variant is defined to evaluate the potential of the system making the evaluation more convincing and indisputable. Moreover, to avoid the phenomenon that we generally tend to overweight the significance of energy's quantity and ignoring the quality, we utilize the Exergy Efficiency (EE) to amend the evaluation based on theories in thermodynamics. During operation simulation, a Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is applied to the distributed IES. By this method, the PF of the multi-objective model can be easily found.