Kalman-Filter-Based State Estimation for System Information Exchange in a Multi-bus Islanded Microgrid

• Published in: 7th IET International Conference on Power Electronics, Machines and Drives (PEMD 2014) p. 0085
• Main Authors: Wang, Yanbo, Tian, Yanjun, Wang, Xiongfei, Chen, Zhe, Tan, Yongdong
• Format: Conference Proceeding
• Language: English
• Published: Stevenage, UK IET 2014; The Institution of Engineering & Technology
• Subjects: Distributed power generation; Filtering methods in signal processing; power system state estimation; system information exchange; DG unit; load characteristic; communication facilities; distributed power generation; Kalman-filter-based state estimation method; distribution system analysis; multibus islanded microgrid; network voltages; voltage performance; state monitoring; Kalman filters; small signal model
• ISBN: 1849198152; 9781849198158
• DOI: 10.1049/cp.2014.0280

State monitoring and analysis of distribution systems has become an urgent issue, and state estimation serves as an important tool to deal with it. In this paper, a Kalman-Filter-based state estimation method for a multi-bus islanded microgrid is presented. First, an overall small signal model with consideration of voltage performance and load characteristic is developed. Then, a Kalman-Filter-Based state estimation method is proposed to estimate system information instead of using communication facilities, where the estimator of each DG unit can dynamically obtain information of all the DG units as well as network voltages just by local voltage and current itself. The proposed estimation method is able to provide accurate states information to support system operation without any communication facilities. Simulation and experimental results are given for validating the proposed small signal model and state estimation method.