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A multi-objective optimization and multi-criteria evaluation integrated framework for distributed energy system optimal planning

Jing, Rui, Zhu, Xingyi, Zhu, Zhiyi, Wang, Wei, Meng, Chao, Shah, Nilay, Li, Ning and Zhao, Yingru 2018. A multi-objective optimization and multi-criteria evaluation integrated framework for distributed energy system optimal planning. Energy Conversion and Management 166 , pp. 445-462. 10.1016/j.enconman.2018.04.054

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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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 0196-8904
Date of Acceptance: 14 April 2018
Last Modified: 01 Mar 2021 11:00
URI: http://orca.cardiff.ac.uk/id/eprint/138969

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