基于等效功率变换的新型电力系统配电网剩余电量估计方法  

A New Method for Estimating Remaining Power in Distribution Networks of Power Systems Based on Equivalent Power Conversion

作　　者：董大伟 程垚垚 李莹 郭飞凡 汪宜航 林超 DONG Dawei;CHENG Yaoyao;LI Ying;GUO Feifan;WANG Yihang;LIN Chao(Hangzhou Linping District Power Supply Company of State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 311100,China;State Grid Info-Telecom Great Power Science and Technology Co.,Ltd.,Fuzhou 350003,China)

机构地区：[1]国网浙江省电力有限公司杭州市临平区供电公司,浙江杭州311100 [2]国网信通亿力科技有限责任公司,福建福州350003

出　　处：《微型电脑应用》2024年第11期132-136,共5页Microcomputer Applications

摘　　要：研究基于等效功率变换的新型电力系统配电网剩余电量估计方法,以提升配电网供电能力。构建新型电力系统配电网状态估计模型,采用修正量测雅可比矩阵迭代方法求解模型,估计出配电网球区域中所有支路的首端有功功率和无功功率,将这些功率作为自适应模糊神经网络推理系统的输入,并输出转换获取配电网蓄电池剩余电量的估计值,利用遗传算法优化自适应模糊神经网络,提升其估计结果精度。实验结果表明,该方法的剩余电量估计结果高度符合实际蓄电池剩余电量,能够防止出现因蓄电池电力不足导致的断电情况,剩余电量的估计结果不受电流变化影响。The new method for estimating remaining power in distribution networks of power systems based on equivalent power conversion is studied to improve the power supply capacity of power distribution network.A new type of distribution network state estimation model of power system is built.The modified measurement Jacobian iterative method solution model is used to estimate the first active power and reactive power of all branches in power distribution area.The power is used as the input of adaptive fuzzy neural network reasoning system.Distribution network battery remaining power estimates are output and transformed.While using the genetic algorithm to optimize the adaptive fuzzy neural network,the accuracy of the estimation results is improved.The experimental results show that the remaining power estimation result of this method is highly in line with the actual battery remaining power,which can prevent the power failure caused by insufficient battery power,and the estimation result of the remaining power is not affected by the current change.

关 键 词：等效功率变换 新型电力系统 剩余电量估计 零虚拟负荷 模糊神经网络 

分 类 号：TM744[电气工程—电力系统及自动化]