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Yuan S, Deng C.
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Ye Y, Lu B, Li J, Zhang K.
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Miao TG, Nan YM.
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基于风电场站实际调频需求,展开混合储能的优化配置计算能实现降低调频服务成本和混合储能投资成本的兼顾。故而,文中提出了一种基于模糊逻辑预测控制的混合储能辅助风电调频的双层优化配置模型。上层模型由计及混合储能投资成本,运维成本,替换利用成本,电量偏差成本,风电调频收益以及促进新能源消纳收益的六因素优化配置模型,为下层模型提供混合储能功率与容量限制;下层模型构建了基于模糊逻辑控制的单步长混合储能协同风电调频的能量优化分配策略,缩短策略计算时间同时避免了电池储能的频繁充放电行为 ...
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doaj
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Zhao L, Xie H.
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