The bi-directional energy conversion components such as gas-fired generators(GfG)and power-to-gas(P2G)have enhanced the interactions between power and gas systems.This paper focuses on the steady-state energy flow ana...The bi-directional energy conversion components such as gas-fired generators(GfG)and power-to-gas(P2G)have enhanced the interactions between power and gas systems.This paper focuses on the steady-state energy flow analysis of an integrated power-gas system(IPGS)with bi-directional energy conversion components.Considering the shortcomings of adjusting active power balance only by single GfG unit and the capacity limitation of slack bus,a multi-slack bus(MSB)model is proposed for integrated power-gas systems,by combining the advantages of bi-directional energy conversion components in adjusting active power.The components are modeled as participating units through iterative participation factors solved by the power sensitivity method,which embeds the effect of system conditions.On this basis,the impact of the mixed problem of multi-type gas supply sources(such as hydrogen and methane generated by P2G)on integrated system is considered,and the gas characteristics-specific gravity(SG)and gross calorific value(GCV)are modeled as state variables to obtain a more accurate operational results.Finally,a bi-directional energy flow solver with iterative SG,GCV and participation factors is developed to assess the steady-state equilibrium point of IPGS based on Newton-Raphson method.The applicability of proposed methodology is demonstrated by analyzing an integrated IEEE 14-bus power system and a Belgian 20-node gas system.展开更多
为了提升一种先进的新型机载传感器——嵌入式大气数据传感器(flush air data sensing,FADS)的测量精度,以正态云模型和多目标规划(multi-objective programming,MOP)为出发点,在原有的“三点法”基础上提出一种新的改进方法。基于CFD...为了提升一种先进的新型机载传感器——嵌入式大气数据传感器(flush air data sensing,FADS)的测量精度,以正态云模型和多目标规划(multi-objective programming,MOP)为出发点,在原有的“三点法”基础上提出一种新的改进方法。基于CFD软件得到的数据库和亚音速及超音速情况下的空气动力学知识建立高精度FADS系统模型,利用正态云模型对测量信号的不确定性和随机性进行量化分析,在对系统冗余信号的融合过程中,基于多目标规划中的松弛变量法和拉格朗日乘子法提出一种新的计算客观权重方法。仿真结果表明,与传统方法相比,新提出的基于云模型和多目标规划的方法可将测量精度提升3.2%,测量数据的离散程度降低68.88%。展开更多
区域综合能源系统(regional integrated energy systems,RIES)集成了冷、热、电、气等多种能源形式,是现代能源供给体系的发展方向,有利于实现区域内能源的综合利用与管理,而多能流的计算是RIES分析的基础。考虑RIES的不确定因素,提出...区域综合能源系统(regional integrated energy systems,RIES)集成了冷、热、电、气等多种能源形式,是现代能源供给体系的发展方向,有利于实现区域内能源的综合利用与管理,而多能流的计算是RIES分析的基础。考虑RIES的不确定因素,提出一种概率多能流计算方法。首先建立多能流计算模型,包含供冷系统、供热系统、电力系统及天然气系统的方程,使用牛顿拉夫逊法进行统一求解;其次,讨论了冷、热、电系统平衡节点的设置与对应的计算条件,包括多种能源网络平衡节点为相同物理节点的情况;在此基础上,结合冷、热、电、气负荷及间歇性能源的概率模型,基于拉丁超立方采样计算RIES的概率多能流,并计及随机变量之间的相关性;最后以一个小型RIES为算例进行了分析,验证了所提方法的有效性。展开更多
文摘The bi-directional energy conversion components such as gas-fired generators(GfG)and power-to-gas(P2G)have enhanced the interactions between power and gas systems.This paper focuses on the steady-state energy flow analysis of an integrated power-gas system(IPGS)with bi-directional energy conversion components.Considering the shortcomings of adjusting active power balance only by single GfG unit and the capacity limitation of slack bus,a multi-slack bus(MSB)model is proposed for integrated power-gas systems,by combining the advantages of bi-directional energy conversion components in adjusting active power.The components are modeled as participating units through iterative participation factors solved by the power sensitivity method,which embeds the effect of system conditions.On this basis,the impact of the mixed problem of multi-type gas supply sources(such as hydrogen and methane generated by P2G)on integrated system is considered,and the gas characteristics-specific gravity(SG)and gross calorific value(GCV)are modeled as state variables to obtain a more accurate operational results.Finally,a bi-directional energy flow solver with iterative SG,GCV and participation factors is developed to assess the steady-state equilibrium point of IPGS based on Newton-Raphson method.The applicability of proposed methodology is demonstrated by analyzing an integrated IEEE 14-bus power system and a Belgian 20-node gas system.
文摘为了提升一种先进的新型机载传感器——嵌入式大气数据传感器(flush air data sensing,FADS)的测量精度,以正态云模型和多目标规划(multi-objective programming,MOP)为出发点,在原有的“三点法”基础上提出一种新的改进方法。基于CFD软件得到的数据库和亚音速及超音速情况下的空气动力学知识建立高精度FADS系统模型,利用正态云模型对测量信号的不确定性和随机性进行量化分析,在对系统冗余信号的融合过程中,基于多目标规划中的松弛变量法和拉格朗日乘子法提出一种新的计算客观权重方法。仿真结果表明,与传统方法相比,新提出的基于云模型和多目标规划的方法可将测量精度提升3.2%,测量数据的离散程度降低68.88%。
文摘区域综合能源系统(regional integrated energy systems,RIES)集成了冷、热、电、气等多种能源形式,是现代能源供给体系的发展方向,有利于实现区域内能源的综合利用与管理,而多能流的计算是RIES分析的基础。考虑RIES的不确定因素,提出一种概率多能流计算方法。首先建立多能流计算模型,包含供冷系统、供热系统、电力系统及天然气系统的方程,使用牛顿拉夫逊法进行统一求解;其次,讨论了冷、热、电系统平衡节点的设置与对应的计算条件,包括多种能源网络平衡节点为相同物理节点的情况;在此基础上,结合冷、热、电、气负荷及间歇性能源的概率模型,基于拉丁超立方采样计算RIES的概率多能流,并计及随机变量之间的相关性;最后以一个小型RIES为算例进行了分析,验证了所提方法的有效性。
