A Novel Fuzzy Rule Matrix Design for Fuzzy Logic-based Power System Stabilizer

作者：Sambariya Dhanesh Kumar^*; Prasad Rajendra

来源：Electric Power Components and Systems, 2017, 45(1): 34-48.

DOI：10.1080/15325008.2016.1234008

• power system stabilizer
• fuzzy logic controller
• fuzzy rule matrix
• linguistic variable
• SMIB power system
• small signal stability

In this paper, fuzzy logic-based power system stabilizer (FPSS) is designed to have effective damping. As to achieve impressive performance of a controlled plant, the rule base/fuzzy rule matrix (FRM) of a fuzzy logic controller (FLC) is designed by trial-error method, which is a time-consuming process. In this paper, a systematic procedure is given to design FRM for effective damping of single-machine infinite-bus (SMIB) and two-area four-machine ten-bus power system. To design the novel FRM, the existing rule tables, proposed by different researchers, are tested with SMIB system, and empirical relationships have been drawn. The response validity and rule justification is carried out using linguistic phase-plane trajectory method. Finally, the contribution to design FRM is made to get effective damping for SMIB as well as a multi-machine system. The effectiveness of the FPSS based on the proposed FRM over a wide range of operating conditions on SMIB system and the comparison of system response without PSS, with Conventional PSS, and with FPSS is carried out. Similarly, the multimachine power system is considered without PSS and with FPSS, and performance comparison is carried out. The response of FPSS with proposed FRM enables to show the effective damping of system oscillations.

• 出版日期2017