A robust stratigraphic framework and a coherent depositional ramp model for the Zitai,Dawan,Meitan and Ningkuo formations of Floian–Darriwilian age(Early–Middle Ordovician)in the Yangtze(Daoba,Xiangshuidong,Daling,G...A robust stratigraphic framework and a coherent depositional ramp model for the Zitai,Dawan,Meitan and Ningkuo formations of Floian–Darriwilian age(Early–Middle Ordovician)in the Yangtze(Daoba,Xiangshuidong,Daling,Gudongkou and Honghuayuan sections)and Jiangnan regions(Nanba section)was created based on lithofacies and major element analysis.Three siliciclastic(LF1–3)and six carbonate(LF4–9)lithofacies are recognized representing sediments that were deposited in mixed siliciclastic and carbonate ramp environment.The intensity of mixed sedimentation and terrigenous input were evaluated using the elemental proxies Intensity of Mixed sedimentation(IM)and Aluminum Accumulation Rate(Al AR),as well as their mean values during certain time intervals.Mixed sediments are most well-developed along the marginal Yangtze region,strongly impacted by recurrent influx of westerly derived terrigenous materials in response to global eustatic changes and regional tectonic movements,shaping the gently southeast-dipping morphology.Regular terrigenous influx resulted in periods of enhanced primary productivity on the Yangtze Ramp as evidenced by matching biodiversity peaks in planktonic organisms,i.e.,chitinozoans and acritarchs.Brachiopods and other shelly fauna were also able to proliferate as new niches developed along the gently dipping ramp floor with substrate changes.The biodiversification patterns suggest that terrigenous influx controlled in part by regional tectonics played a more important role than previously thought in the development of Great Ordovician Biodiversification Event in South China.展开更多
为了抑制风电爬坡事件,降低风电并网功率波动越限概率,提出了基于风电爬坡事件和双蓄电池组储能系统(battery energy storage system,BESS)的同步和异步控制策略,合理配置蓄电池组充放电时间,优化BESS参数。分析了风电爬坡事件,考虑弃风...为了抑制风电爬坡事件,降低风电并网功率波动越限概率,提出了基于风电爬坡事件和双蓄电池组储能系统(battery energy storage system,BESS)的同步和异步控制策略,合理配置蓄电池组充放电时间,优化BESS参数。分析了风电爬坡事件,考虑弃风,基于改进粒子群算法(improved particle swarm optimization,IPSO)优化蓄电池组的使用寿命和装置费用,以及弃风与缺额的惩罚费用。仿真结果表明,动态风电爬坡事件定义更精确,异步控制策略更加有效,合理规划弃风的经济更优。展开更多
随着风电渗透率的提高,大功率风电爬坡可造成系统功率不平衡,甚至导致停电事故。提出了基于信息差距决策理论(information gap decision theory,IGDT)鲁棒模型的风电爬坡事件协调调度决策方法。分析了各参与方的调度成本及约束条件,采...随着风电渗透率的提高,大功率风电爬坡可造成系统功率不平衡,甚至导致停电事故。提出了基于信息差距决策理论(information gap decision theory,IGDT)鲁棒模型的风电爬坡事件协调调度决策方法。分析了各参与方的调度成本及约束条件,采用常规机组、风电场及需求侧协调调度的方式,降低风电爬坡事件的不利影响,并保证决策方案的经济性;利用IGDT方法处理风电功率的不确定性,构建最恶劣爬坡场景,制定针对预期成本具有鲁棒性的决策方案。算例及实际系统不同情形下调度决策方案的分析和比较,验证了所提调度决策方法的鲁棒性和经济性。展开更多
随着新能源并网进程的推进,风电装机规模逐年扩大。受区域内天气变化影响,风机出力的间歇性和波动性特征对电网的威胁亦越发显著。极端天气所引发的风电出力异常爬坡事件,易导致电网功率失衡,对电力系统机组调度、源荷平衡造成了极大压...随着新能源并网进程的推进,风电装机规模逐年扩大。受区域内天气变化影响,风机出力的间歇性和波动性特征对电网的威胁亦越发显著。极端天气所引发的风电出力异常爬坡事件,易导致电网功率失衡,对电力系统机组调度、源荷平衡造成了极大压力。合理的风电爬坡事件检测以及精准的风电功率预测能为风电场运维及电力系统调度提供先验指导,有力缓解风电不确定性带来的危害。首先讨论了目前主流风电爬坡事件定义的盲点,分类并分析了3种风电爬坡场景的功率变化特性,据此提出基于滑动窗双边累计和(cumulative sum, CUSUM)算法的风电爬坡事件检测方法,提取时序耦合信息,捕捉短时间窗口内风电功率数据的异常波动,提高风电爬坡事件检测精度。其次,采用贝叶斯优化的长短期记忆(long short term memory, LSTM)神经网络,最优化模型超参数,提高模型对于爬坡事件发生时风机出力的预测性能。进一步应用所提风电爬坡事件检测方法,对模型预测区间内的风电爬坡事件进行检测实验,验证了所提方法的有效性。展开更多
基金funded by National Natural Science Foundation of China(Grant Nos.42102130,41972011)Natural Science Foundation of Jiangsu Province(Grant No.BK20191101)+2 种基金Chinese Academy of Sciences(Grant No.XDB26000000)China Scholarship Council(Grant No.202004910207)State Key Laboratory of Palaeobiology and Stratigraphy。
文摘A robust stratigraphic framework and a coherent depositional ramp model for the Zitai,Dawan,Meitan and Ningkuo formations of Floian–Darriwilian age(Early–Middle Ordovician)in the Yangtze(Daoba,Xiangshuidong,Daling,Gudongkou and Honghuayuan sections)and Jiangnan regions(Nanba section)was created based on lithofacies and major element analysis.Three siliciclastic(LF1–3)and six carbonate(LF4–9)lithofacies are recognized representing sediments that were deposited in mixed siliciclastic and carbonate ramp environment.The intensity of mixed sedimentation and terrigenous input were evaluated using the elemental proxies Intensity of Mixed sedimentation(IM)and Aluminum Accumulation Rate(Al AR),as well as their mean values during certain time intervals.Mixed sediments are most well-developed along the marginal Yangtze region,strongly impacted by recurrent influx of westerly derived terrigenous materials in response to global eustatic changes and regional tectonic movements,shaping the gently southeast-dipping morphology.Regular terrigenous influx resulted in periods of enhanced primary productivity on the Yangtze Ramp as evidenced by matching biodiversity peaks in planktonic organisms,i.e.,chitinozoans and acritarchs.Brachiopods and other shelly fauna were also able to proliferate as new niches developed along the gently dipping ramp floor with substrate changes.The biodiversification patterns suggest that terrigenous influx controlled in part by regional tectonics played a more important role than previously thought in the development of Great Ordovician Biodiversification Event in South China.
文摘随着风电渗透率的提高,大功率风电爬坡可造成系统功率不平衡,甚至导致停电事故。提出了基于信息差距决策理论(information gap decision theory,IGDT)鲁棒模型的风电爬坡事件协调调度决策方法。分析了各参与方的调度成本及约束条件,采用常规机组、风电场及需求侧协调调度的方式,降低风电爬坡事件的不利影响,并保证决策方案的经济性;利用IGDT方法处理风电功率的不确定性,构建最恶劣爬坡场景,制定针对预期成本具有鲁棒性的决策方案。算例及实际系统不同情形下调度决策方案的分析和比较,验证了所提调度决策方法的鲁棒性和经济性。
文摘随着新能源并网进程的推进,风电装机规模逐年扩大。受区域内天气变化影响,风机出力的间歇性和波动性特征对电网的威胁亦越发显著。极端天气所引发的风电出力异常爬坡事件,易导致电网功率失衡,对电力系统机组调度、源荷平衡造成了极大压力。合理的风电爬坡事件检测以及精准的风电功率预测能为风电场运维及电力系统调度提供先验指导,有力缓解风电不确定性带来的危害。首先讨论了目前主流风电爬坡事件定义的盲点,分类并分析了3种风电爬坡场景的功率变化特性,据此提出基于滑动窗双边累计和(cumulative sum, CUSUM)算法的风电爬坡事件检测方法,提取时序耦合信息,捕捉短时间窗口内风电功率数据的异常波动,提高风电爬坡事件检测精度。其次,采用贝叶斯优化的长短期记忆(long short term memory, LSTM)神经网络,最优化模型超参数,提高模型对于爬坡事件发生时风机出力的预测性能。进一步应用所提风电爬坡事件检测方法,对模型预测区间内的风电爬坡事件进行检测实验,验证了所提方法的有效性。
