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

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Title: A multi-objective optimization and multi-criteria evaluation integrated framework for distributed energy system optimal planning
Authors: Jing, R
Zhu, X
Zhu, Z
Wang, W
Meng, C
Shah, N
Li, N
Zhao, Y
Item Type: Journal Article
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.
Issue Date: 15-Jun-2018
Date of Acceptance: 14-Apr-2018
URI: http://hdl.handle.net/10044/1/59869
DOI: https://dx.doi.org/10.1016/j.enconman.2018.04.054
ISSN: 0196-8904
Publisher: Elsevier
Start Page: 445
End Page: 462
Journal / Book Title: Energy Conversion and Management
Volume: 166
Copyright Statement: © 2018 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/I038837/1
Keywords: 0906 Electrical And Electronic Engineering
Publication Status: Published
Online Publication Date: 2018-05-03
Appears in Collections:Faculty of Engineering
Centre for Environmental Policy
Chemical Engineering
Faculty of Natural Sciences

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