To reduce the negative impact of the power amplifier(PA)nonlinear distortion caused by the orthogonal frequency division multiplexing(OFDM)waveform with high peak-to-average power ratio(PAPR)in integrated radar and co...To reduce the negative impact of the power amplifier(PA)nonlinear distortion caused by the orthogonal frequency division multiplexing(OFDM)waveform with high peak-to-average power ratio(PAPR)in integrated radar and communication(RadCom)systems is studied,the channel estimation in passive sensing scenarios.Adaptive channel estimation methods are proposed based on different pilot patterns,considering nonlinear distortion and channel sparsity.The proposed methods achieve sparse channel results by manipulating the least squares(LS)frequency-domain channel estimation results to preserve the most significant taps.The decision-aided method is used to optimize the sparse channel results to reduce the effect of nonlinear distortion.Numerical results show that the channel estimation performance of the proposed methods is better than that of the conventional methods under different pilot patterns.In addition,the bit error rate performance in communication and passive radar detection performance show that the proposed methods have good comprehensive performance.展开更多
Electric power is widely used as the main energy source of ship integrated power system(SIPS), which contains power network and electric power network. SIPS network reconfiguration is a non-linear large-scale problem....Electric power is widely used as the main energy source of ship integrated power system(SIPS), which contains power network and electric power network. SIPS network reconfiguration is a non-linear large-scale problem. The reconfiguration solution influences the safety and stable operation of the power system. According to the operational characteristics of SIPS, a simplified model of power network and a mathematical model for network reconfiguration are established. Based on these models, a multi-agent and ant colony optimization(MAACO) is proposed to solve the problem of network reconfiguration. The simulations are carried out to demonstrate that the optimization method can reconstruct the integrated power system network accurately and efficiently.展开更多
More and more large capacity wind power will be integrated into power system in the future,and certain technical challenges will emerge due to the fluctuation characteristics of wind power and the complex control of p...More and more large capacity wind power will be integrated into power system in the future,and certain technical challenges will emerge due to the fluctuation characteristics of wind power and the complex control of power electronic devices inside the wind turbines(e.g.,low voltage ride through(LVRT)).By comparing a wind power integration grid with a hydropower integration grid,the special transient phenomena caused by the wind power integration is studied and simulation results are presented.Furthermore,the potential impacts on the traditional protection are discussed.Results show that the special transient phenomena can decrease the sensitivity,reliability and operation speed of conventional protections.展开更多
该文基于大电网运行实践,聚焦于全网电力平衡资源的统一优化,研究新型电力系统的全网一体化电力平衡(integrated power balancing,IPB)机理。首先,构建IPB的数学模型,其中涉及“平衡区域”、“输电通道”和“输电路径”等关键要素。基...该文基于大电网运行实践,聚焦于全网电力平衡资源的统一优化,研究新型电力系统的全网一体化电力平衡(integrated power balancing,IPB)机理。首先,构建IPB的数学模型,其中涉及“平衡区域”、“输电通道”和“输电路径”等关键要素。基于数学模型,推导IPB的网络方程,用以描述网络结构约束;其次,将电力平衡目标如电力供应和新能源消纳等与网络方程结合,推导作为IPB基本数学原理的动态方程,方程由4种过程形式组成——自然互济供电、成本互济供电、自然互济新能源消纳和成本互济新能源消纳;再次,将实际工程条件引入动态方程,分析总结工程实践用一体化电力平衡基础模式及其衍生的8种子构型;最后,通过实例验证所提理论分析的有效性和意义。展开更多
为提高低碳园区综合能源系统(regional integrated energy system,RIES)的低碳性和可再生能源消纳率,提出一种考虑电转气(power-to-gas,P2G)、碳捕集装置(carbon capture and storage,CCS)和氢燃料电池(hydrogen fuel cell,HFC)协调运行...为提高低碳园区综合能源系统(regional integrated energy system,RIES)的低碳性和可再生能源消纳率,提出一种考虑电转气(power-to-gas,P2G)、碳捕集装置(carbon capture and storage,CCS)和氢燃料电池(hydrogen fuel cell,HFC)协调运行的RIES低碳经济调度方法。首先,根据传统火电机组集中碳排放的特点,加入CCS打造更具灵活性的碳捕集电厂(carbon capture power plant,CCPP)。其次,在两阶段P2G中加入HFC,细化氢能使用,建立P2G-CCS-HFC整体模型,在氢能平衡约束条件下,分析不同设备决策对整体模型优化成本的影响。同时,在供能侧和需求侧分别引入绿证-碳交易和综合需求响应双重市场机制激励。最后,考虑风光不确定性,以风光历史数据为基础,构建考虑场景分析和数据驱动的、以最小化总成本为目标函数的RIES分布鲁棒调度模型。基于算例的仿真结果表明,该方法可有效降低碳排放水平,促进新能源消纳,为区域综合能源系统低碳经济调度等研究提供参考。展开更多
基金supported by the National Natural Science Foundation of China(61931015,62071335,62250024)the Natural Science Foundation of Hubei Province of China(2021CFA002)+1 种基金the Fundamental Research Funds for the Central Universities of China(2042022dx0001)the Science and Technology Program of Shenzhen(JCYJ20170818112037398).
文摘To reduce the negative impact of the power amplifier(PA)nonlinear distortion caused by the orthogonal frequency division multiplexing(OFDM)waveform with high peak-to-average power ratio(PAPR)in integrated radar and communication(RadCom)systems is studied,the channel estimation in passive sensing scenarios.Adaptive channel estimation methods are proposed based on different pilot patterns,considering nonlinear distortion and channel sparsity.The proposed methods achieve sparse channel results by manipulating the least squares(LS)frequency-domain channel estimation results to preserve the most significant taps.The decision-aided method is used to optimize the sparse channel results to reduce the effect of nonlinear distortion.Numerical results show that the channel estimation performance of the proposed methods is better than that of the conventional methods under different pilot patterns.In addition,the bit error rate performance in communication and passive radar detection performance show that the proposed methods have good comprehensive performance.
基金supported by the National Natural Science Foundation of China (4177402141974005)。
文摘Electric power is widely used as the main energy source of ship integrated power system(SIPS), which contains power network and electric power network. SIPS network reconfiguration is a non-linear large-scale problem. The reconfiguration solution influences the safety and stable operation of the power system. According to the operational characteristics of SIPS, a simplified model of power network and a mathematical model for network reconfiguration are established. Based on these models, a multi-agent and ant colony optimization(MAACO) is proposed to solve the problem of network reconfiguration. The simulations are carried out to demonstrate that the optimization method can reconstruct the integrated power system network accurately and efficiently.
文摘More and more large capacity wind power will be integrated into power system in the future,and certain technical challenges will emerge due to the fluctuation characteristics of wind power and the complex control of power electronic devices inside the wind turbines(e.g.,low voltage ride through(LVRT)).By comparing a wind power integration grid with a hydropower integration grid,the special transient phenomena caused by the wind power integration is studied and simulation results are presented.Furthermore,the potential impacts on the traditional protection are discussed.Results show that the special transient phenomena can decrease the sensitivity,reliability and operation speed of conventional protections.
文摘该文基于大电网运行实践,聚焦于全网电力平衡资源的统一优化,研究新型电力系统的全网一体化电力平衡(integrated power balancing,IPB)机理。首先,构建IPB的数学模型,其中涉及“平衡区域”、“输电通道”和“输电路径”等关键要素。基于数学模型,推导IPB的网络方程,用以描述网络结构约束;其次,将电力平衡目标如电力供应和新能源消纳等与网络方程结合,推导作为IPB基本数学原理的动态方程,方程由4种过程形式组成——自然互济供电、成本互济供电、自然互济新能源消纳和成本互济新能源消纳;再次,将实际工程条件引入动态方程,分析总结工程实践用一体化电力平衡基础模式及其衍生的8种子构型;最后,通过实例验证所提理论分析的有效性和意义。
文摘为提高低碳园区综合能源系统(regional integrated energy system,RIES)的低碳性和可再生能源消纳率,提出一种考虑电转气(power-to-gas,P2G)、碳捕集装置(carbon capture and storage,CCS)和氢燃料电池(hydrogen fuel cell,HFC)协调运行的RIES低碳经济调度方法。首先,根据传统火电机组集中碳排放的特点,加入CCS打造更具灵活性的碳捕集电厂(carbon capture power plant,CCPP)。其次,在两阶段P2G中加入HFC,细化氢能使用,建立P2G-CCS-HFC整体模型,在氢能平衡约束条件下,分析不同设备决策对整体模型优化成本的影响。同时,在供能侧和需求侧分别引入绿证-碳交易和综合需求响应双重市场机制激励。最后,考虑风光不确定性,以风光历史数据为基础,构建考虑场景分析和数据驱动的、以最小化总成本为目标函数的RIES分布鲁棒调度模型。基于算例的仿真结果表明,该方法可有效降低碳排放水平,促进新能源消纳,为区域综合能源系统低碳经济调度等研究提供参考。
