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作 者:路长宝 Lu Changbao(State Grid Qinghai Electric Power Co.,Ltd.,Xining Qinghai 810008,China)
出 处:《电气自动化》2024年第4期73-75,共3页Electrical Automation
摘 要:孤岛状况是造成混合储能微网下垂的主要因素,为使混合储能微网正常运行,提出基于马尔可夫蒙特卡罗算法的孤岛模式混合储能微网下垂平坦控制方法。使用马尔可夫蒙特卡罗算法对缺失光伏数据进行填补。依据填补后的微网光伏数据计算微网自身荷电状态,并依据该荷电状态数值建立混合储能微网超级电容和蓄电池功率控制模型,实现孤岛模式混合储能微网下垂平坦控制。结果表明:所提方法填补光伏数据时的效率高于0.99,具备良好的下垂平坦控制能力。采用所提方法可对孤岛模式混合储能微网下垂进行良好控制,可有效保证混合储能微网的平稳运行,具有一定应用价值。The island condition is the main factor causing the droop of the hybrid energy storage microgrid.To ensure the normal operation of hybrid energy storage microgrids,a droop flatness control method based on Markov Monte Carlo algorithm for island mode hybrid energy storage microgrids was proposed.The Markov Monte Carlo algorithm was employed to fill in missing photovoltaic data.Based on the filled microgrid photovoltaic data,the state of charge of the microgrid itself was calculated,and a hybrid energy storage microgrid supercapacitor and battery power control model was established based on the state of charge value to achieve island mode hybrid energy storage microgrid droop flattening control.The results show that the proposed method has a filling efficiency over 0.99 when filling photovoltaic data,and has good droop flatness control ability.The proposed method can effectively control the droop of the island mode hybrid energy storage microgrid,thereby ensuring the smooth operation of the hybrid energy storage microgrid,which has certain application value.
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