A multi-objective optimization and multi-criteria evaluation integrated framework for distributed energy system optimal planning. Jing, R., Zhu, X., Zhu, Z., Wang, W., Meng, C., Shah, N., Li, N., & Zhao, Y. Energy Conversion and Management, 166:445–462, June, 2018. ![A multi-objective optimization and multi-criteria evaluation integrated framework for distributed energy system optimal planning [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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.
@article{jing_multi-objective_2018,
title = {A multi-objective optimization and multi-criteria evaluation integrated framework for distributed energy system optimal planning},
volume = {166},
issn = {0196-8904},
url = {http://www.sciencedirect.com/science/article/pii/S0196890418304023},
doi = {10.1016/j.enconman.2018.04.054},
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.},
language = {en},
urldate = {2020-05-21},
journal = {Energy Conversion and Management},
author = {Jing, Rui and Zhu, Xingyi and Zhu, Zhiyi and Wang, Wei and Meng, Chao and Shah, Nilay and Li, Ning and Zhao, Yingru},
month = jun,
year = {2018},
keywords = {Decision making, Distributed energy system, Mixed Integer Non-linear Programming, Multi-criteria evaluation, Multi-objective optimization, Solid Oxide Fuel Cell},
pages = {445--462},
}
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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. 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