Energy storage capacity optimization research for micro grid including electricity and heat

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• 英文论文题名：Energy storage capacity optimization research for micro grid including electricity and heat
• 论文作者：Youjie Ma ; Peilin Yang ; Xuesong Zhou ; Zhiqiang Gao
• 英文论文作者：Youjie Ma ; Peilin Yang ; Xuesong Zhou ; Zhiqiang Gao ; Key Research Laboratory for Control Theory & Applications in Complicated Systems Tianjin University of Technology
• 年：2017
• 作者机构：Key Research Laboratory for Control Theory & Applications in Complicated Systems Tianjin University of Technology;
• 英文论文关键词：micro grid ; energy storage capacity optimization ; composite cost ; multi-scenario theory ; artificial bee colony(ABC)
• 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：453k
• 原文格式：D
• 会议级别：全国

摘要

Because of the randomness and volatility of renewable energy generation and load, energy storage device plays an important role in ensuring the safe and steady operation of micro grid. For a combined heat and power micro grid, Heat tank is modeled similar to battery and allocation model of heat and electricity storage based on economic dispatch is established. Multi-scenario theory is adopted to consider randomness and artificial bee colony is applied to optimize the operation of micro grid with different storage capacity. Finally, composite cost of micro grid with different storage capacity is compared to determine the best capacity. A case study is conducted to verify that method and model presented can effectively decrease composite cost.
Because of the randomness and volatility of renewable energy generation and load, energy storage device plays an important role in ensuring the safe and steady operation of micro grid. For a combined heat and power micro grid, Heat tank is modeled similar to battery and allocation model of heat and electricity storage based on economic dispatch is established. Multi-scenario theory is adopted to consider randomness and artificial bee colony is applied to optimize the operation of micro grid with different storage capacity. Finally, composite cost of micro grid with different storage capacity is compared to determine the best capacity. A case study is conducted to verify that method and model presented can effectively decrease composite cost.

引文

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