Interval Method Based Optimal Scheduling of Regional Multi-Microgrids With Uncertainties of Renewable Energy

In order to face the challenges of high proportion of wind and photovoltaic in regional multi-microgrids, a coordinated interval optimization scheduling method considering uncertainties of renewable energy is proposed. The interval optimization is used to describe the uncertainties of wind power and...

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Main Authors: Dongfeng Yang, Chengxin Zhang, Chao Jiang, Xiaojun Liu, Yiran Shen
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9393960/
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author Dongfeng Yang
Chengxin Zhang
Chao Jiang
Xiaojun Liu
Yiran Shen
author_facet Dongfeng Yang
Chengxin Zhang
Chao Jiang
Xiaojun Liu
Yiran Shen
author_sort Dongfeng Yang
collection DOAJ
description In order to face the challenges of high proportion of wind and photovoltaic in regional multi-microgrids, a coordinated interval optimization scheduling method considering uncertainties of renewable energy is proposed. The interval optimization is used to describe the uncertainties of wind power and photovoltaic through interval numbers, then an interval optimization model for a regional multi-microgrid coordinated operation system including the uncertain objective function and constraints is established, based on the interval order relationship and possibility, the uncertain objective function and constraints can be transformed into deterministic ones. The different micro-source outputs and operating costs are compared under the independent and coordinated operation mode. It is verified that the optimization of the coordinated operation interval of the multi-microgrid can effectively reduce the operating cost of the system and stabilize the load fluctuation. The interval optimization method describes the wind power and photovoltaic as fluctuation intervals, and the corresponding operating cost intervals are obtained with different uncertainties, the scheduling results can more truly reflect the impact of uncertainty on the system operation results. At the same time, this method can provide system dispatchers with information about the influence of wind power and photovoltaic uncertainty on the system optimization results, which is convenient for dispatchers to make decisions.
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spelling doaj.art-4c6bb95dac9b492ab7addb49dff6fd402022-12-21T23:00:45ZengIEEEIEEE Access2169-35362021-01-019532925330510.1109/ACCESS.2021.30705929393960Interval Method Based Optimal Scheduling of Regional Multi-Microgrids With Uncertainties of Renewable EnergyDongfeng Yang0https://orcid.org/0000-0002-0622-9354Chengxin Zhang1https://orcid.org/0000-0003-4169-7951Chao Jiang2Xiaojun Liu3Yiran Shen4School of Electrical Engineering, Northeast Electric Power University, Jilin City, ChinaSchool of Electrical Engineering, Northeast Electric Power University, Jilin City, ChinaSchool of Electrical Engineering, Northeast Electric Power University, Jilin City, ChinaSchool of Electrical Engineering, Northeast Electric Power University, Jilin City, ChinaSchool of Electrical Engineering, Northeast Electric Power University, Jilin City, ChinaIn order to face the challenges of high proportion of wind and photovoltaic in regional multi-microgrids, a coordinated interval optimization scheduling method considering uncertainties of renewable energy is proposed. The interval optimization is used to describe the uncertainties of wind power and photovoltaic through interval numbers, then an interval optimization model for a regional multi-microgrid coordinated operation system including the uncertain objective function and constraints is established, based on the interval order relationship and possibility, the uncertain objective function and constraints can be transformed into deterministic ones. The different micro-source outputs and operating costs are compared under the independent and coordinated operation mode. It is verified that the optimization of the coordinated operation interval of the multi-microgrid can effectively reduce the operating cost of the system and stabilize the load fluctuation. The interval optimization method describes the wind power and photovoltaic as fluctuation intervals, and the corresponding operating cost intervals are obtained with different uncertainties, the scheduling results can more truly reflect the impact of uncertainty on the system operation results. At the same time, this method can provide system dispatchers with information about the influence of wind power and photovoltaic uncertainty on the system optimization results, which is convenient for dispatchers to make decisions.https://ieeexplore.ieee.org/document/9393960/Interval optimizationmulti-microgridscoordination optimizationuncertainties
spellingShingle Dongfeng Yang
Chengxin Zhang
Chao Jiang
Xiaojun Liu
Yiran Shen
Interval Method Based Optimal Scheduling of Regional Multi-Microgrids With Uncertainties of Renewable Energy
IEEE Access
Interval optimization
multi-microgrids
coordination optimization
uncertainties
title Interval Method Based Optimal Scheduling of Regional Multi-Microgrids With Uncertainties of Renewable Energy
title_full Interval Method Based Optimal Scheduling of Regional Multi-Microgrids With Uncertainties of Renewable Energy
title_fullStr Interval Method Based Optimal Scheduling of Regional Multi-Microgrids With Uncertainties of Renewable Energy
title_full_unstemmed Interval Method Based Optimal Scheduling of Regional Multi-Microgrids With Uncertainties of Renewable Energy
title_short Interval Method Based Optimal Scheduling of Regional Multi-Microgrids With Uncertainties of Renewable Energy
title_sort interval method based optimal scheduling of regional multi microgrids with uncertainties of renewable energy
topic Interval optimization
multi-microgrids
coordination optimization
uncertainties
url https://ieeexplore.ieee.org/document/9393960/
work_keys_str_mv AT dongfengyang intervalmethodbasedoptimalschedulingofregionalmultimicrogridswithuncertaintiesofrenewableenergy
AT chengxinzhang intervalmethodbasedoptimalschedulingofregionalmultimicrogridswithuncertaintiesofrenewableenergy
AT chaojiang intervalmethodbasedoptimalschedulingofregionalmultimicrogridswithuncertaintiesofrenewableenergy
AT xiaojunliu intervalmethodbasedoptimalschedulingofregionalmultimicrogridswithuncertaintiesofrenewableenergy
AT yiranshen intervalmethodbasedoptimalschedulingofregionalmultimicrogridswithuncertaintiesofrenewableenergy