Energy Optimal Configuration Strategy of Distributed Photovoltaic Power System for Multi-Level Distribution Network

As the strategic position of distributed photovoltaic (PV) power generation in multi-level distribution networks continues to rise, its impact on the stable operation of the grid is becoming increasingly significant. This study delves into the influence of two key factors, the integration location a...

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Main Authors: Yanmin Wang, Hanqing Zhang, Weiqi Zhang, Song Han, Yuzhuo Yang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
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Online Access:https://www.mdpi.com/2076-3417/15/1/234
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author Yanmin Wang
Hanqing Zhang
Weiqi Zhang
Song Han
Yuzhuo Yang
author_facet Yanmin Wang
Hanqing Zhang
Weiqi Zhang
Song Han
Yuzhuo Yang
author_sort Yanmin Wang
collection DOAJ
description As the strategic position of distributed photovoltaic (PV) power generation in multi-level distribution networks continues to rise, its impact on the stable operation of the grid is becoming increasingly significant. This study delves into the influence of two key factors, the integration location and penetration rate of PV systems, on the distribution and flow of energy and the steady-state performance of multi-level distribution networks. Based on this, the study proposes a simplified grid analysis framework for analyzing and optimizing the energy allocation strategy of distribution systems and develops a PV configuration strategy aimed at optimizing the energy planning and design process of engineering projects. Taking a typical PV-participating distribution system as an example, the study provides a detailed description of the typical three-layer distribution network structure and deduces the relationship of the PV, node voltage, and node voltage deviation. The study verifies the accuracy and practical value of the proposed simplified framework through real-time monitoring simulation of node voltages and line losses. Finally, to achieve optimal energy allocation, the study proposes a PV segmentation strategy applied to the system and compares it with the traditional reactive power control strategy, demonstrating the advantage of the strategy in improving the system’s clean energy ratio and reducing network losses. This paper’s research on the impact of PV systems and the proposed simplified theory for distribution networks is universally applicable, and it holds significant reference value for practical engineering design.
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issn 2076-3417
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publishDate 2024-12-01
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spelling doaj-art-bb8c0ca275cd4aa3b6b5542a9ee03e662025-01-10T13:14:52ZengMDPI AGApplied Sciences2076-34172024-12-0115123410.3390/app15010234Energy Optimal Configuration Strategy of Distributed Photovoltaic Power System for Multi-Level Distribution NetworkYanmin Wang0Hanqing Zhang1Weiqi Zhang2Song Han3Yuzhuo Yang4School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, ChinaSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, ChinaChina Harbour Engineering Company Limit, Beijing 100027, ChinaChina Harbour Engineering Company Limit, Beijing 100027, ChinaAs the strategic position of distributed photovoltaic (PV) power generation in multi-level distribution networks continues to rise, its impact on the stable operation of the grid is becoming increasingly significant. This study delves into the influence of two key factors, the integration location and penetration rate of PV systems, on the distribution and flow of energy and the steady-state performance of multi-level distribution networks. Based on this, the study proposes a simplified grid analysis framework for analyzing and optimizing the energy allocation strategy of distribution systems and develops a PV configuration strategy aimed at optimizing the energy planning and design process of engineering projects. Taking a typical PV-participating distribution system as an example, the study provides a detailed description of the typical three-layer distribution network structure and deduces the relationship of the PV, node voltage, and node voltage deviation. The study verifies the accuracy and practical value of the proposed simplified framework through real-time monitoring simulation of node voltages and line losses. Finally, to achieve optimal energy allocation, the study proposes a PV segmentation strategy applied to the system and compares it with the traditional reactive power control strategy, demonstrating the advantage of the strategy in improving the system’s clean energy ratio and reducing network losses. This paper’s research on the impact of PV systems and the proposed simplified theory for distribution networks is universally applicable, and it holds significant reference value for practical engineering design.https://www.mdpi.com/2076-3417/15/1/234PV power systemislanded operationenergy optimal configurationmulti-level distribution networkdata analysis
spellingShingle Yanmin Wang
Hanqing Zhang
Weiqi Zhang
Song Han
Yuzhuo Yang
Energy Optimal Configuration Strategy of Distributed Photovoltaic Power System for Multi-Level Distribution Network
Applied Sciences
PV power system
islanded operation
energy optimal configuration
multi-level distribution network
data analysis
title Energy Optimal Configuration Strategy of Distributed Photovoltaic Power System for Multi-Level Distribution Network
title_full Energy Optimal Configuration Strategy of Distributed Photovoltaic Power System for Multi-Level Distribution Network
title_fullStr Energy Optimal Configuration Strategy of Distributed Photovoltaic Power System for Multi-Level Distribution Network
title_full_unstemmed Energy Optimal Configuration Strategy of Distributed Photovoltaic Power System for Multi-Level Distribution Network
title_short Energy Optimal Configuration Strategy of Distributed Photovoltaic Power System for Multi-Level Distribution Network
title_sort energy optimal configuration strategy of distributed photovoltaic power system for multi level distribution network
topic PV power system
islanded operation
energy optimal configuration
multi-level distribution network
data analysis
url https://www.mdpi.com/2076-3417/15/1/234
work_keys_str_mv AT yanminwang energyoptimalconfigurationstrategyofdistributedphotovoltaicpowersystemformultileveldistributionnetwork
AT hanqingzhang energyoptimalconfigurationstrategyofdistributedphotovoltaicpowersystemformultileveldistributionnetwork
AT weiqizhang energyoptimalconfigurationstrategyofdistributedphotovoltaicpowersystemformultileveldistributionnetwork
AT songhan energyoptimalconfigurationstrategyofdistributedphotovoltaicpowersystemformultileveldistributionnetwork
AT yuzhuoyang energyoptimalconfigurationstrategyofdistributedphotovoltaicpowersystemformultileveldistributionnetwork