Low-carbon configuration optimization for multi-energy complementary microgrid

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• 英文论文题名：Low-carbon configuration optimization for multi-energy complementary microgrid
• 论文作者：LI Qiqiang ; WANG Luhao ; WANG Gang ; ZHANG Bingying
• 英文论文作者：LI Qiqiang ; WANG Luhao ; WANG Gang ; ZHANG Bingying ; School of Control Science and Engineering ; Shandong University
• 年：2017
• 作者机构：School of Control Science and Engineering,Shandong University;
• 英文论文关键词：Microgrid ; Low-carbon ; Configuration ; Optimization
• 会议召开时间：2017-07-26
• 会议录名称：第36届中国控制会议论文集（B）
• 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
• 语种：英文
• 分类号：TM727
• 学会代码：KZLL
• 会议名称：第36届中国控制会议
• 会议地点：中国辽宁大连
• 主办单位：中国自动化学会控制理论专业委员会
• 学会名称：中国自动化学会控制理论专业委员会
• 页数：5
• 文件大小：749k
• 原文格式：D
• 会议级别：全国

摘要

In order to reduce carbon emissions in the lifecycle of multi-energy complementary microgrids, this work proposes a low-carbon configuration optimization model based on the characteristics of carbon emissions in the operation of microgrids and renewable energy utilization in the configuration process. Also, genetic algorithm is adopted to solve the configuration problem of microgrids. Simulation results demonstrate that the capacity of renewable energy and energy storage is enhanced with the increase of carbon taxes. Although higher initial investment and recovery period might be caused by carbon taxes, environmental and economic benefits in the lifecycle of microgrids are improved significantly. As a result, the validity and effectiveness of the proposed low-carbon configuration optimization approach are confirmed.
In order to reduce carbon emissions in the lifecycle of multi-energy complementary microgrids, this work proposes a low-carbon configuration optimization model based on the characteristics of carbon emissions in the operation of microgrids and renewable energy utilization in the configuration process. Also, genetic algorithm is adopted to solve the configuration problem of microgrids. Simulation results demonstrate that the capacity of renewable energy and energy storage is enhanced with the increase of carbon taxes. Although higher initial investment and recovery period might be caused by carbon taxes, environmental and economic benefits in the lifecycle of microgrids are improved significantly. As a result, the validity and effectiveness of the proposed low-carbon configuration optimization approach are confirmed.

引文

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