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基于拟态物理学优化算法的微电网功率优化
詹 昕1, 向铁元1, 曾 爽1, 熊 虎1, 徐庆中2
1.武汉大学 电气工程学院,湖北 武汉 430072;2.江苏省扬州供电公司,江苏 扬州 225009
摘要:
考虑天气等因素对微电网有功功率平衡的影响,计及电力市场环境下的需求侧响应,将微电网负荷分为高赔偿可中断负荷(ILH)与低赔偿可中断负荷(ILL)。在保证微电网功率平衡以及满足潮流、电压、频率偏移和开关损耗等约束的前提下,以微电网总收益最大为目标函数,建立考虑切负荷操作的微电网功率优化数学模型,并利用拟态物理学优化(APO)算法进行求解。微电网14节点系统的仿真结果验证了所提算法的有效性。
关键词:  微电网  功率控制  优化  切负荷  拟态物理学优化算法  收益
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Microgrid power optimization based on artificial physics optimization algorithm
ZHAN Xin1, XIANG Tieyuan1, ZENG Shuang1, XIONG Hu1, XU Qingzhong2
1.School of Electrical Engineering,Wuhan University,Wuhan 430072,China;2.Yangzhou Electric Power Company of Jiangsu Province,Yangzhou 225009,China
Abstract:
The microgrid loads are classified into the interruptible load of high compensation and the interruptible loads of low compensation,which considers the impact of weather factor on the active power balance of microgrid and the demand-side response under the environment of electricity market. With the maximum microgrid total revenue as its objective and subjected to the constraints of microgrid power balance,power flow,voltage,frequency deviation and switch loss,a power optimization model based on load shedding is established for microgrid,which is solved by the artificial physics optimization algorithm. The simulative result of a 14-bus microgrid verifies the effectiveness of the proposed method.
Key words:  microgrid  power control  optimization  electric load shedding  artificial physics optimization algorithm  revenues

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