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Title: Incorporating energy storage and user experience in isolated microgrid dispatch using a multi-objective model

Abstract

In order to coordinate multiple different scheduling objectives from the perspectives of economy, environment, and users, a practical multi-objective dynamic optimal dispatch model incorporating energy storage and user experience is proposed for isolated microgrids. In this model, besides microturbine units, energy storage is employed to provide spinning reserve services for microgirds; and furthermore, from the perspective of demand side management, a consumer satisfaction indicator is developed to measure the quality of user experience. A two-step solution methodology incorporating multi-objective optimisation and decision analysis is put forward to address this model. First, a powerful heuristic optimisation algorithm, called the -dominance based evolutionary algorithm, is used to find a well-distributed set of Pareto-optimal solutions of the problem. Thereby, the best compromise solutions are identified from the entire solutions with the use of decision analysis by integrating fuzzy C-means clustering and grey relation projection. The simulation results on the modified Oak Ridge National Laboratory Distributed Energy Control and Communication lab microgrid test system demonstrate the effectiveness of the proposed approach.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1579915
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article
Journal Name:
IET Renewable Power Generation
Additional Journal Information:
Journal Volume: 13; Journal Issue: 6
Country of Publication:
United States
Language:
English

Citation Formats

Li, Yang, Yang, Zhen, Zhao, Dongbo, Lei, Hangtian, Cui, Bai, and Li, Shaoyan. Incorporating energy storage and user experience in isolated microgrid dispatch using a multi-objective model. United States: N. p., 2019. Web. doi:10.1049/iet-rpg.2018.5862.
Li, Yang, Yang, Zhen, Zhao, Dongbo, Lei, Hangtian, Cui, Bai, & Li, Shaoyan. Incorporating energy storage and user experience in isolated microgrid dispatch using a multi-objective model. United States. doi:10.1049/iet-rpg.2018.5862.
Li, Yang, Yang, Zhen, Zhao, Dongbo, Lei, Hangtian, Cui, Bai, and Li, Shaoyan. Mon . "Incorporating energy storage and user experience in isolated microgrid dispatch using a multi-objective model". United States. doi:10.1049/iet-rpg.2018.5862.
@article{osti_1579915,
title = {Incorporating energy storage and user experience in isolated microgrid dispatch using a multi-objective model},
author = {Li, Yang and Yang, Zhen and Zhao, Dongbo and Lei, Hangtian and Cui, Bai and Li, Shaoyan},
abstractNote = {In order to coordinate multiple different scheduling objectives from the perspectives of economy, environment, and users, a practical multi-objective dynamic optimal dispatch model incorporating energy storage and user experience is proposed for isolated microgrids. In this model, besides microturbine units, energy storage is employed to provide spinning reserve services for microgirds; and furthermore, from the perspective of demand side management, a consumer satisfaction indicator is developed to measure the quality of user experience. A two-step solution methodology incorporating multi-objective optimisation and decision analysis is put forward to address this model. First, a powerful heuristic optimisation algorithm, called the -dominance based evolutionary algorithm, is used to find a well-distributed set of Pareto-optimal solutions of the problem. Thereby, the best compromise solutions are identified from the entire solutions with the use of decision analysis by integrating fuzzy C-means clustering and grey relation projection. The simulation results on the modified Oak Ridge National Laboratory Distributed Energy Control and Communication lab microgrid test system demonstrate the effectiveness of the proposed approach.},
doi = {10.1049/iet-rpg.2018.5862},
journal = {IET Renewable Power Generation},
number = 6,
volume = 13,
place = {United States},
year = {2019},
month = {4}
}

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