光伏发电功率受气象因素的影响呈现出不稳定性和间歇性,准确预测光伏功率有助于实现大规模并网并保障电网的稳定运行。以澳大利亚DKASC Solar Centre光伏电站数据为研究对象,提出一种基于气象相似日的变分模态分解算法、长鼻浣熊算法和...光伏发电功率受气象因素的影响呈现出不稳定性和间歇性,准确预测光伏功率有助于实现大规模并网并保障电网的稳定运行。以澳大利亚DKASC Solar Centre光伏电站数据为研究对象,提出一种基于气象相似日的变分模态分解算法、长鼻浣熊算法和双向长短期记忆神经网络(VMD-COA-BiLSTM)的光伏功率短期预测模型。针对光伏数据的复杂非线性特征、噪声干扰以及高维特征等问题,通过K均值聚类将数据划分为3种天气类型,增强模型映射能力;利用VMD将聚类之后的原始信号分解,采用中心频率法确定最佳模态数,充分提取集合中的输入因素信息,提高数据质量;将分解后的各分量分别输入BiLSTM网络进行预测,采用COA优化BiLSTM的超参数配置,实现不同天气类型下的光伏功率的准确预测。结果表明:K均值聚类和VMD算法有效提升了数据质量,增强了输入、输出数据的耦合强度;COA优化BiLSTM模型在优化能力和收敛速度上均优于粒子群算法(PSO);所提出的VMD-COA-BiLSTM模型在晴天、多云和阴雨天的RMSE分别降低了35.24%,45.54%和42.88%,显著提高了预测精度,且能适应不同环境下的可靠预测。展开更多
In this paper,a multi-strategy improved coati optimization algorithm(MICOA)for engineering applications is proposed to improve the performance of the coati optimization algorithm(COA)in terms of convergence speed and ...In this paper,a multi-strategy improved coati optimization algorithm(MICOA)for engineering applications is proposed to improve the performance of the coati optimization algorithm(COA)in terms of convergence speed and convergence accuracy.First,a chaotic mapping is applied to initial-ize the population in order to improve the quality of the population and thus the convergence speed of the algorithm.Second,the prey’s position is improved during the prey-hunting phase.Then,the COA is combined with the particle swarm optimization(PSO)and the golden sine algorithm(Gold-SA),and the position is updated with probabilities to avoid local extremes.Finally,a population decreasing strategy is applied as a way to improve the performance of the algorithm in a comprehen-sive approach.The paper compares the proposed algorithm MICOA with 7 well-known meta-heuristic optimization algorithms and evaluates the algorithm in 23 test functions as well as engineering appli-cation.Experimental results show that the MICOA proposed in this paper has good effectiveness and superiority,and has a strong competitiveness compared with the comparison algorithms.展开更多
螺旋霉素链霉菌生物合成螺旋霉素的过程受许多酶的调控作用。酰基激酶和酰基 Co A合成酶是螺旋霉素内酯环合成的重要酶。实验测定了它们的酶活趋势和酶的影响因子。结果表明 ,酰基激酶和酰基 Co A合成酶都有两个活力峰 ,前者活性集中在...螺旋霉素链霉菌生物合成螺旋霉素的过程受许多酶的调控作用。酰基激酶和酰基 Co A合成酶是螺旋霉素内酯环合成的重要酶。实验测定了它们的酶活趋势和酶的影响因子。结果表明 ,酰基激酶和酰基 Co A合成酶都有两个活力峰 ,前者活性集中在发酵中前期 ,后者活性集中在发酵中后期。实验发现 Co2 + 、Mn2 + 对酰基激酶和酰基 Co A合成酶有较强的激活作用 ,Cu2 + 对酰基激酶有抑制作用 ,但对酰基 Co A合成酶有很强的激活作用。在发酵中期向摇瓶中补加二价阳离子比在发酵初期加入有更明显的激活作用 ,平均效价最高提高了 31 %展开更多
文摘光伏发电功率受气象因素的影响呈现出不稳定性和间歇性,准确预测光伏功率有助于实现大规模并网并保障电网的稳定运行。以澳大利亚DKASC Solar Centre光伏电站数据为研究对象,提出一种基于气象相似日的变分模态分解算法、长鼻浣熊算法和双向长短期记忆神经网络(VMD-COA-BiLSTM)的光伏功率短期预测模型。针对光伏数据的复杂非线性特征、噪声干扰以及高维特征等问题,通过K均值聚类将数据划分为3种天气类型,增强模型映射能力;利用VMD将聚类之后的原始信号分解,采用中心频率法确定最佳模态数,充分提取集合中的输入因素信息,提高数据质量;将分解后的各分量分别输入BiLSTM网络进行预测,采用COA优化BiLSTM的超参数配置,实现不同天气类型下的光伏功率的准确预测。结果表明:K均值聚类和VMD算法有效提升了数据质量,增强了输入、输出数据的耦合强度;COA优化BiLSTM模型在优化能力和收敛速度上均优于粒子群算法(PSO);所提出的VMD-COA-BiLSTM模型在晴天、多云和阴雨天的RMSE分别降低了35.24%,45.54%和42.88%,显著提高了预测精度,且能适应不同环境下的可靠预测。
基金Supported by the National Key R&D Program of China(2022ZD0119001).
文摘In this paper,a multi-strategy improved coati optimization algorithm(MICOA)for engineering applications is proposed to improve the performance of the coati optimization algorithm(COA)in terms of convergence speed and convergence accuracy.First,a chaotic mapping is applied to initial-ize the population in order to improve the quality of the population and thus the convergence speed of the algorithm.Second,the prey’s position is improved during the prey-hunting phase.Then,the COA is combined with the particle swarm optimization(PSO)and the golden sine algorithm(Gold-SA),and the position is updated with probabilities to avoid local extremes.Finally,a population decreasing strategy is applied as a way to improve the performance of the algorithm in a comprehen-sive approach.The paper compares the proposed algorithm MICOA with 7 well-known meta-heuristic optimization algorithms and evaluates the algorithm in 23 test functions as well as engineering appli-cation.Experimental results show that the MICOA proposed in this paper has good effectiveness and superiority,and has a strong competitiveness compared with the comparison algorithms.
文摘螺旋霉素链霉菌生物合成螺旋霉素的过程受许多酶的调控作用。酰基激酶和酰基 Co A合成酶是螺旋霉素内酯环合成的重要酶。实验测定了它们的酶活趋势和酶的影响因子。结果表明 ,酰基激酶和酰基 Co A合成酶都有两个活力峰 ,前者活性集中在发酵中前期 ,后者活性集中在发酵中后期。实验发现 Co2 + 、Mn2 + 对酰基激酶和酰基 Co A合成酶有较强的激活作用 ,Cu2 + 对酰基激酶有抑制作用 ,但对酰基 Co A合成酶有很强的激活作用。在发酵中期向摇瓶中补加二价阳离子比在发酵初期加入有更明显的激活作用 ,平均效价最高提高了 31 %
