针对储能电池组在电网典型储能工况下荷电状态(state of charge,SOC)估算精度较低的问题,提出一种基于核主成分分析(kernel principal component analysis,KPCA)-鹈鹕优化(pelican optimization algorithm,POA)-双向门控循环单元(bidire...针对储能电池组在电网典型储能工况下荷电状态(state of charge,SOC)估算精度较低的问题,提出一种基于核主成分分析(kernel principal component analysis,KPCA)-鹈鹕优化(pelican optimization algorithm,POA)-双向门控循环单元(bidirectional gated recurrent unit,Bi GRU)的SOC估计模型。通过设计调峰/调频工况下电池组充放电实验,从数据中提取表征SOC变化的融合特征作为模型输入;分别构建不同工况下Bi GRU网络,并利用POA对其超参数进行优化,提高模型性能;进一步在混合工况下验证模型的有效性。结果表明,所建模型有着更好的SOC估计效果和更强的鲁棒性,能够提高复杂储能工况下储能电池组SOC估计精度。展开更多
For the purpose of target localization, Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) radar has been proposed. OFDM technique has been adopted in order to a simultaneous transmi...For the purpose of target localization, Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) radar has been proposed. OFDM technique has been adopted in order to a simultaneous transmission and reception of a set of multiple narrowband orthogonal signals at orthogonal frequencies. Although multi-carrier systems such as OFDM support high data rate applications, they do not only require linear amplification but also they complicate the power amplifiers design and increase power consumption. This is because of high peak-to-average power ratio (PAPR). In this work, a new proposition has been made based on the Pulse Width Modulation (PWM) to enhance the MIMO-OFDM radar systems’ performance. In order to check the proposed systems performance and its validity, a numerical analysis and a MATLAB simulation have been conducted. Nevertheless of the system characteristics and under same bandwidth occupancy and system’s specifications, the simulation results show that this work can reduce the PAPR values clearly and show capable results over the ones in the literature.展开更多
电池储能系统被认为是解决可再生能源的不确定性和不平衡性导致的功率不足和频率波动的有效途径。基于此,文中提出了一种基于电池的荷电状态SOC(state of charge)的电池储能系统混合控制策略。首先,文中将电池的SOC、调频和调峰需求划...电池储能系统被认为是解决可再生能源的不确定性和不平衡性导致的功率不足和频率波动的有效途径。基于此,文中提出了一种基于电池的荷电状态SOC(state of charge)的电池储能系统混合控制策略。首先,文中将电池的SOC、调频和调峰需求划分为不同的区域,并对调频和调峰提出相应的控制策略,提出SOC自恢复控制策略。之后提出储能的混合控制策略,基于电池储能的SOC,将储能的调频与调峰功能与SOC自恢复策略相结合,实现储能对电力系统的优化。最后通过仿真分析验证该控制策略的合理性与应对可再生能源波动的能力。展开更多
火电机组深度调峰是全面消纳新能源发电和构建新型电力系统的重要组成部分。火电机组深度调峰能力试验是验证机组是否具备相应调峰能力的重要手段。以630 MW超临界机组为例,从机组最小技术出力的安全性、CCS(Coordination Control Syst...火电机组深度调峰是全面消纳新能源发电和构建新型电力系统的重要组成部分。火电机组深度调峰能力试验是验证机组是否具备相应调峰能力的重要手段。以630 MW超临界机组为例,从机组最小技术出力的安全性、CCS(Coordination Control System,协调控制系统)变负荷和一次调频性能三方面开展验证试验。试验结果表明,机组在30%额定负荷(Pe)下,锅炉、汽机及其辅机安全稳定运行且环保指标达标;30%Pe~40%Pe下,CCS升降负荷速率分别为每分钟1.04%Pe和每分钟0.53%Pe,AGC(Automatic Generation Control,自动发电控制)和一次调频性能均满足规定的要求。展开更多
文摘For the purpose of target localization, Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) radar has been proposed. OFDM technique has been adopted in order to a simultaneous transmission and reception of a set of multiple narrowband orthogonal signals at orthogonal frequencies. Although multi-carrier systems such as OFDM support high data rate applications, they do not only require linear amplification but also they complicate the power amplifiers design and increase power consumption. This is because of high peak-to-average power ratio (PAPR). In this work, a new proposition has been made based on the Pulse Width Modulation (PWM) to enhance the MIMO-OFDM radar systems’ performance. In order to check the proposed systems performance and its validity, a numerical analysis and a MATLAB simulation have been conducted. Nevertheless of the system characteristics and under same bandwidth occupancy and system’s specifications, the simulation results show that this work can reduce the PAPR values clearly and show capable results over the ones in the literature.
文摘电池储能系统被认为是解决可再生能源的不确定性和不平衡性导致的功率不足和频率波动的有效途径。基于此,文中提出了一种基于电池的荷电状态SOC(state of charge)的电池储能系统混合控制策略。首先,文中将电池的SOC、调频和调峰需求划分为不同的区域,并对调频和调峰提出相应的控制策略,提出SOC自恢复控制策略。之后提出储能的混合控制策略,基于电池储能的SOC,将储能的调频与调峰功能与SOC自恢复策略相结合,实现储能对电力系统的优化。最后通过仿真分析验证该控制策略的合理性与应对可再生能源波动的能力。
