基于改进离散BCC算法的电网开关信息错误辨识  

A Method for Switch Information Error Identification Based on Improved Discrete Bacterial Colony Chemotaxis Algorithm

作　　者：卢志刚[1] 程慧琳[1] 张静[1] 孙继凯[2] 

机构地区：[1]电力电子节能与传动控制河北省重点实验室,燕山大学,河北省秦皇岛市066004 [2]秦皇岛发电有限责任公司,河北省秦皇岛市066003

出　　处：《电力系统自动化》2012年第12期55-60,共6页Automation of Electric Power Systems

基　　金：国家自然科学基金资助项目(61071201)~~

摘　　要：提出一种使用离散细菌群体趋药性(BCC)算法对开关信息进行辨识的方法。首先,定义了关于开关信息的离散变量,并基于此建立了拓扑分析、量测生成及直流潮流计算的数学模型。其次,利用量测矩阵和直流潮流计算结果,给出了与量测不确定度相关的对开关信息离散变量的评价指标。最后,在离散BCC算法的基础上,提出一种离散更新机制,并给出了基于所提离散更新机制对离散变量进行优化的方法,该方法可以快速地对开关信息进行辨识和修正,为状态估计结果的准确性提供了保障。通过IEEE 39节点系统仿真测试,验证了所提算法的有效性。This paper presents a new method to identify switch information using the discrete bacterial colony chemotaxis（BLXS） algorithm. Firstly, a mathematical model is developed for topology analysis and creation of measurement as well as DC flow calculation based on defined discrete variable information about the switch. Secondly, an evaluation index i＇elated to the discrete variables of switch information is given in the light of the measurement matrix and the results of DC flow calculation. Finally, an optimization method based on the improved discrete and update mechanism is presented. This method can quickly identify and modify the switch information to guarantee the accuracy of. state estimation results. The feasibility of the algorithm proposed is proved by simulation results on an IEEE 39-bus system.

关 键 词：能量管理系统 拓扑分析 拓扑辨识 细菌群体趋药性 离散更新机制 

分 类 号：TM711[电气工程—电力系统及自动化]