Research on Multi-Scenario Variable Parameter Energy Management Strategy of Rural Community Microgrid

Many rural communities in western China use renewable energy-based clean energy supply methods, and the community microgrid system of “photovoltaic + energy storage + electric heating” has been widely used. However, the energy management effect of such a typical rural community microgrid system is n...

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Main Authors: Lidong Guo, Zilong Yang, Yibo Wang, Honghua Xu
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/8/2730
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author Lidong Guo
Zilong Yang
Yibo Wang
Honghua Xu
author_facet Lidong Guo
Zilong Yang
Yibo Wang
Honghua Xu
author_sort Lidong Guo
collection DOAJ
description Many rural communities in western China use renewable energy-based clean energy supply methods, and the community microgrid system of “photovoltaic + energy storage + electric heating” has been widely used. However, the energy management effect of such a typical rural community microgrid system is not very satisfactory. Aiming at the problem of the comprehensive economic operation of the microgrid system in rural communities, a method for optimizing the operation strategy parameters of typical operating scenarios is proposed, and critical parameters of the real-time energy management strategy of the microgrid system are optimized. Through the evaluation of the annual time-scale simulation results, it is proved that the proposed strategy can improve the comprehensive economic benefits of the operation of the rural community microgrid system (comprehensive economic benefits include electricity bills and energy storage system (ESS) life loss). Relying on the actual community microgrid demonstration project system in western China, a community-level microgrid energy management monitoring system is built. The control strategy proposed in this paper is applied to the demonstration system for experimental verification. The operational data of the demonstration system shows that the proposed method is feasible and effective.
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spelling doaj.art-f12bbdbe64724130a76033c1102948f72023-11-19T21:41:13ZengMDPI AGApplied Sciences2076-34172020-04-01108273010.3390/app10082730Research on Multi-Scenario Variable Parameter Energy Management Strategy of Rural Community MicrogridLidong Guo0Zilong Yang1Yibo Wang2Honghua Xu3University of Chinese Academy of Sciences, Beijing 100149, ChinaSolar Thermal Technology and Photovoltaic System Laboratory, Chinese Academy of Sciences, Beijing 100190, ChinaSolar Thermal Technology and Photovoltaic System Laboratory, Chinese Academy of Sciences, Beijing 100190, ChinaSolar Thermal Technology and Photovoltaic System Laboratory, Chinese Academy of Sciences, Beijing 100190, ChinaMany rural communities in western China use renewable energy-based clean energy supply methods, and the community microgrid system of “photovoltaic + energy storage + electric heating” has been widely used. However, the energy management effect of such a typical rural community microgrid system is not very satisfactory. Aiming at the problem of the comprehensive economic operation of the microgrid system in rural communities, a method for optimizing the operation strategy parameters of typical operating scenarios is proposed, and critical parameters of the real-time energy management strategy of the microgrid system are optimized. Through the evaluation of the annual time-scale simulation results, it is proved that the proposed strategy can improve the comprehensive economic benefits of the operation of the rural community microgrid system (comprehensive economic benefits include electricity bills and energy storage system (ESS) life loss). Relying on the actual community microgrid demonstration project system in western China, a community-level microgrid energy management monitoring system is built. The control strategy proposed in this paper is applied to the demonstration system for experimental verification. The operational data of the demonstration system shows that the proposed method is feasible and effective.https://www.mdpi.com/2076-3417/10/8/2730rural communityphotovoltaic and storage microgridenergy managementmulti-scenarioparticle swarm optimization (PSO)demonstration application
spellingShingle Lidong Guo
Zilong Yang
Yibo Wang
Honghua Xu
Research on Multi-Scenario Variable Parameter Energy Management Strategy of Rural Community Microgrid
Applied Sciences
rural community
photovoltaic and storage microgrid
energy management
multi-scenario
particle swarm optimization (PSO)
demonstration application
title Research on Multi-Scenario Variable Parameter Energy Management Strategy of Rural Community Microgrid
title_full Research on Multi-Scenario Variable Parameter Energy Management Strategy of Rural Community Microgrid
title_fullStr Research on Multi-Scenario Variable Parameter Energy Management Strategy of Rural Community Microgrid
title_full_unstemmed Research on Multi-Scenario Variable Parameter Energy Management Strategy of Rural Community Microgrid
title_short Research on Multi-Scenario Variable Parameter Energy Management Strategy of Rural Community Microgrid
title_sort research on multi scenario variable parameter energy management strategy of rural community microgrid
topic rural community
photovoltaic and storage microgrid
energy management
multi-scenario
particle swarm optimization (PSO)
demonstration application
url https://www.mdpi.com/2076-3417/10/8/2730
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