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    Distributed Energy Storage Systems with an Improved Fuzzy Controller for Mitigating Voltage Unbalance on Low-Voltage Networks

    Source: Journal of Energy Engineering:;2016:;Volume ( 142 ):;issue: 001
    Author:
    Jianhui Wong
    ,
    Yun Seng Lim
    ,
    Ezra Morris
    DOI: 10.1061/(ASCE)EY.1943-7897.0000260
    Publisher: American Society of Civil Engineers
    Abstract: The growth of photovoltaic (PV) systems on low-voltage distribution networks can create technical issues such as voltage rise, voltage unbalance, unnecessary neutral current circulation, and reverse power flow. Usually, these happen with little fluctuation. However, they tend to fluctuate seriously because of the low clear sky index in Malaysia and they become more severe when the installation and distribution of single-phase renewable energy sources are rather arbitrary and not monitored by utility companies. To ensure effective operation of distribution networks with PV systems, an improved version of a three-phase fuzzy control algorithm for distributed energy storage (ES) systems is proposed. With this algorithm, distributed energy storage systems can control individual phase voltage to mitigate the voltage unbalance factor effectively, maintaining voltage magnitude without cutting any excess renewable energy. An experimental low-voltage distribution network with two 3.6-kWp PV systems was set up. A number of case studies under various generation and demand conditions were carried out to evaluate the performance of the three single-phase energy storage systems with the novel fuzzy control algorithm. The results show that the proposed algorithm can effectively coordinate the systems to mitigate voltage unbalance and maintain the voltage level of low-voltage distribution networks with PV systems.
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      Distributed Energy Storage Systems with an Improved Fuzzy Controller for Mitigating Voltage Unbalance on Low-Voltage Networks

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/83296
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    • Journal of Energy Engineering

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    contributor authorJianhui Wong
    contributor authorYun Seng Lim
    contributor authorEzra Morris
    date accessioned2017-05-08T22:35:51Z
    date available2017-05-08T22:35:51Z
    date copyrightMarch 2016
    date issued2016
    identifier other51271486.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/83296
    description abstractThe growth of photovoltaic (PV) systems on low-voltage distribution networks can create technical issues such as voltage rise, voltage unbalance, unnecessary neutral current circulation, and reverse power flow. Usually, these happen with little fluctuation. However, they tend to fluctuate seriously because of the low clear sky index in Malaysia and they become more severe when the installation and distribution of single-phase renewable energy sources are rather arbitrary and not monitored by utility companies. To ensure effective operation of distribution networks with PV systems, an improved version of a three-phase fuzzy control algorithm for distributed energy storage (ES) systems is proposed. With this algorithm, distributed energy storage systems can control individual phase voltage to mitigate the voltage unbalance factor effectively, maintaining voltage magnitude without cutting any excess renewable energy. An experimental low-voltage distribution network with two 3.6-kWp PV systems was set up. A number of case studies under various generation and demand conditions were carried out to evaluate the performance of the three single-phase energy storage systems with the novel fuzzy control algorithm. The results show that the proposed algorithm can effectively coordinate the systems to mitigate voltage unbalance and maintain the voltage level of low-voltage distribution networks with PV systems.
    publisherAmerican Society of Civil Engineers
    titleDistributed Energy Storage Systems with an Improved Fuzzy Controller for Mitigating Voltage Unbalance on Low-Voltage Networks
    typeJournal Paper
    journal volume142
    journal issue1
    journal titleJournal of Energy Engineering
    identifier doi10.1061/(ASCE)EY.1943-7897.0000260
    treeJournal of Energy Engineering:;2016:;Volume ( 142 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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