Research on Operation–Planning Double-Layer Optimization Design Method for Multi-Energy Microgrid Considering Reliability

A multi-energy microgrid has multiple terminal resources and multiple distributed components for energy production, conversion, and storage. By using this grid, an interconnected network with optimized multiple energy sources can be formed. This type of grid can minimize energy waste while laying th...

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Main Authors: Shaoyun Ge, Jifeng Li, Hong Liu, Hao Sun, Yiran Wang
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/8/11/2062
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author Shaoyun Ge
Jifeng Li
Hong Liu
Hao Sun
Yiran Wang
author_facet Shaoyun Ge
Jifeng Li
Hong Liu
Hao Sun
Yiran Wang
author_sort Shaoyun Ge
collection DOAJ
description A multi-energy microgrid has multiple terminal resources and multiple distributed components for energy production, conversion, and storage. By using this grid, an interconnected network with optimized multiple energy sources can be formed. This type of grid can minimize energy waste while laying the critical foundation for an energy Internet. The multi-energy microgrid must be formed properly to ensure multi-energy coupling and complement. However, critical technologies (e.g., reliability assessment) and configuration planning methods now need further research. In this study, a novel method for the reliability evaluation of a multi-energy supply is proposed, and an operation⁻planning double-layer optimization design method is investigated that considers reliability. On that basis, the effects of different configuration schemes on economy and reliability are quantitatively analyzed. First, the coupling relationship between multi-energy carriers in a typical multi-energy microgrid is analyzed; subsequently, the energy efficiency and economical models of the key equipment in the grid system are determined. Monte Carlo simulation and the Failure Mode and Effect Analysis (FMEA) method are applied to evaluate the reliability with sorted indicators. A double-layer optimization model is built for a multi-energy microgrid with the optimal configuration. The impact of configuration on the reliability and economical performance of the microgrid system is quantitatively analyzed based on actual calculations. The results obtained here are relative to the capacity, configuration, operation, and energy supply reliability of the multi-energy microgrid, and may serve as the feasible guidelines for future integrated energy systems.
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spelling doaj.art-bbf745dd65574639bb925e7e75b68a402022-12-21T20:01:39ZengMDPI AGApplied Sciences2076-34172018-10-01811206210.3390/app8112062app8112062Research on Operation–Planning Double-Layer Optimization Design Method for Multi-Energy Microgrid Considering ReliabilityShaoyun Ge0Jifeng Li1Hong Liu2Hao Sun3Yiran Wang4Key Laboratory of Smart Grid, Tianjin University, Tianjin 300000, ChinaKey Laboratory of Smart Grid, Tianjin University, Tianjin 300000, ChinaKey Laboratory of Smart Grid, Tianjin University, Tianjin 300000, ChinaKey Laboratory of Smart Grid, Tianjin University, Tianjin 300000, ChinaKey Laboratory of Smart Grid, Tianjin University, Tianjin 300000, ChinaA multi-energy microgrid has multiple terminal resources and multiple distributed components for energy production, conversion, and storage. By using this grid, an interconnected network with optimized multiple energy sources can be formed. This type of grid can minimize energy waste while laying the critical foundation for an energy Internet. The multi-energy microgrid must be formed properly to ensure multi-energy coupling and complement. However, critical technologies (e.g., reliability assessment) and configuration planning methods now need further research. In this study, a novel method for the reliability evaluation of a multi-energy supply is proposed, and an operation⁻planning double-layer optimization design method is investigated that considers reliability. On that basis, the effects of different configuration schemes on economy and reliability are quantitatively analyzed. First, the coupling relationship between multi-energy carriers in a typical multi-energy microgrid is analyzed; subsequently, the energy efficiency and economical models of the key equipment in the grid system are determined. Monte Carlo simulation and the Failure Mode and Effect Analysis (FMEA) method are applied to evaluate the reliability with sorted indicators. A double-layer optimization model is built for a multi-energy microgrid with the optimal configuration. The impact of configuration on the reliability and economical performance of the microgrid system is quantitatively analyzed based on actual calculations. The results obtained here are relative to the capacity, configuration, operation, and energy supply reliability of the multi-energy microgrid, and may serve as the feasible guidelines for future integrated energy systems.https://www.mdpi.com/2076-3417/8/11/2062multi-energy microgridenergy huboptimal planningreliability
spellingShingle Shaoyun Ge
Jifeng Li
Hong Liu
Hao Sun
Yiran Wang
Research on Operation–Planning Double-Layer Optimization Design Method for Multi-Energy Microgrid Considering Reliability
Applied Sciences
multi-energy microgrid
energy hub
optimal planning
reliability
title Research on Operation–Planning Double-Layer Optimization Design Method for Multi-Energy Microgrid Considering Reliability
title_full Research on Operation–Planning Double-Layer Optimization Design Method for Multi-Energy Microgrid Considering Reliability
title_fullStr Research on Operation–Planning Double-Layer Optimization Design Method for Multi-Energy Microgrid Considering Reliability
title_full_unstemmed Research on Operation–Planning Double-Layer Optimization Design Method for Multi-Energy Microgrid Considering Reliability
title_short Research on Operation–Planning Double-Layer Optimization Design Method for Multi-Energy Microgrid Considering Reliability
title_sort research on operation planning double layer optimization design method for multi energy microgrid considering reliability
topic multi-energy microgrid
energy hub
optimal planning
reliability
url https://www.mdpi.com/2076-3417/8/11/2062
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AT hongliu researchonoperationplanningdoublelayeroptimizationdesignmethodformultienergymicrogridconsideringreliability
AT haosun researchonoperationplanningdoublelayeroptimizationdesignmethodformultienergymicrogridconsideringreliability
AT yiranwang researchonoperationplanningdoublelayeroptimizationdesignmethodformultienergymicrogridconsideringreliability