A multi-objective optimization and multi-criteria evaluation integrated framework for distributed energy system optimal planning. (15th June 2018)

• Record Type: Journal Article
• Authors: Jing, Rui; Zhu, Xingyi; Zhu, Zhiyi; Wang, Wei; Meng, Chao; Shah, Nilay; Li, Ning; Zhao, Yingru
• Is Part Of: Energy conversion and management. Volume 166(2018)
• Page Start: 445
• Page End: 462
• Publication Date: 2018-06-15
• Subjects: Distributed energy system -- Mixed Integer Non-linear Programming -- Solid Oxide Fuel Cell -- Multi-objective optimization -- Decision making -- Multi-criteria evaluation; Direct energy conversion -- Periodicals; Energy storage -- Periodicals; Energy transfer -- Periodicals; Énergie -- Conversion directe -- Périodiques; Direct energy conversion; Periodicals; 621.3105
• DOI: 10.1016/j.enconman.2018.04.054
• Languages: English
• ISSNs: 0196-8904

Abstract

Highlights: Propose an optimization and evaluation integrated framework. Establish a Mixed Integer Non-linear Programming optimal planning model. Conduct multi-objective optimization by Ɛ -constraint method. Identify Pareto-optimal solution through three decision making methods. An Analytic Hierarchy Process and Gray Relation Analysis combined evaluation. Abstract: This study proposes an integrated framework for planning distributed energy system with addressing the multi-objective optimization and multi-criteria evaluation issues simultaneously. The framework can be decomposed into two stages. At the optimization stage, the system design and dispatch are optimized considering multiple objectives by Ɛ-constraint method. Three decision making approaches are applied to identify the Pareto optimal solution. At the evaluation stage, a combined Analytic Hierarchy Process and Gray Relation Analysis method is proposed to evaluate and rank various optimal solutions when different objectives and cases are considered. Two stages of work are integrated by introducing the baseline conditions. As an illustrative example, an optimal planning model for a solar-assisted Solid Oxide Fuel Cell distributed energy system is proposed by Mixed Integer Non-linear Programming approach firstly. Then, the system is applied to different cases considering two types of buildings located in three climate zones. The obtained optimal solutions are further evaluated by the proposed multi-criteria evaluation method. Therefore, the overall optimal system design and dispatch strategy, as well as the best demonstration site can be identified comprehensively considering multiple objectives. In general, the results have verified the effectiveness of the proposed framework.