摘要
高压线路的电阻、电抗和对地电纳在数值上差别很大,常规参数估计方法将其作为独立变量分别估计,导致电阻、电抗和对地电纳的估计值误差不一致,其中小阻抗的误差常常很大。针对上述问题,提出了一种基于单位长度参数和长度的线路参数估计新模型。其中,状态变量为线路两端的多时段电压幅值与相角,参数变量为线路的单位长度参数和长度。由于引入了长度作为电阻、电抗和对地电纳的公共变量,突出了线路参数整体对潮流状态的影响,因而新模型可以保证线路参数估计值误差的一致性,避免了常规模型中小阻抗大误差的问题。另外,还提出了参数估计的混沌量子免疫算法,其具有全局寻优能力强,算法稳定的优点。算例结果验证了模型与算法的有效性。
Resistance, reactance, and susceptanee are estimated as independent variables in the conventional methods of parameter estimation. However, because they have a great difference in value, their estimation errors are inconsistent, especially the errors of small impedance are usually very large. Based on the length and the line parameters per unit length, a new line parameter estimation model is proposed. In this new model, state variables are multi-period voltage amplitude and phase angle at two ends of the line, and parameter variables are the parameters per unit length and the length. Because of introducing the length as the public variables of resistance, reactance and susceptance, the influence of line parameters on power flow is highlighted, so the consistency of line parameter estimation error can be guaranteed, and large estimation error of small impedance which appears in conventional models can be voided in the new model. Besides, the chaos quantum immune algorithm is presented to solve the parameter estimation model. It has the advantages of global optimality and stability. The validity of the proposed model and algorithm is verified by the simulation test.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2011年第5期720-725,共6页
Journal of University of Electronic Science and Technology of China
基金
输配电装备及系统安全与新技术国家重点实验室自主研究项目(2007DA10512710204)
关键词
混沌量子免疫算法
参数估计
单位长度参数
相量测量单元
chaos quantum immune algorithm
parameter estimation
parameter per unit length
phasor measurement unit
