电力系统自动化2019，Vol.43Issue(2)：76-82,7.DOI:10.7500/AEPS20180311001
基于模糊最小二乘支持向量机的微电网群状态评估方法
Evaluation Method for Microgrid Cluster State Based on Fuzzy Least Squares Support Vector Machine
摘要
Abstract
Aiming at energy management system (EMS) and coordination control system (CCS) for adapting to flexible adjustment of microgrid cluster control strategy at variable operation states, a real-time operation state evaluation model of lowvoltage microgrid cluster based on fuzzy least squares support vector machine (FLS-SVM) is proposed.With traditional power system operation state description method, the proposed model builds constraints in secure and normal operation of microgrid cluster and microgrid.Microgrid states are classified in view of multi-dimensional eigenvector including voltage deviation rate, energy storage state of charge, energy storage charge and discharge time, power generation and load.The real-time operation states of microgrids are evaluated with FLS-SVM, and then the operation states of microgrid cluster can be determined.Case study shows that the method can conduct the real-time evaluation within the sampling period of the system, and classify the operation states of microgrids accurately and effectively under the conditions of both off-grid and on-grid.It can provide the basis for microgrid cluster to quickly determine the operation state and flexibly adjust control strategy.关键词
微电网群/实时评估/最小二乘支持向量机/运行状态评估Key words
microgrid cluster/real-time evaluation/least squares support vector machine/operation state evaluation引用本文复制引用
陈卫东,梁朔,肖园园,郭敏..基于模糊最小二乘支持向量机的微电网群状态评估方法[J].电力系统自动化,2019,43(2):76-82,7.基金项目
中国南方电网有限责任公司科技项目 (GXKJXM20160317) （GXKJXM20160317）
国家高技术研究发展计划 (863计划) 资助项目 (2012AA050217).This work is supported by Science and Technology Project of China Southern Power Grid Co. Ltd. (No. GXKJXM20160317) and National High Technology Research Development Program of China (863 Program)(No. 2012AA050217). （863计划）
