Optimal design of ANFIS-PSS based on NSGA-II aimed at mitigation of DG-connection transient impact

Proceedings of the Romanian Academy Series A-Mathematics Physics Technical Sciences Information Science

A.D. Falehi¹ 

关键词: DG-Connection;    FOANFIS-PSS;    ANFIS-PSS;    CPSS;    NAGA-II;    Power System Stability.;    1. INTRODUCTION;   

DOI  :  

学科分类：计算机科学（综合）

来源: Editura Academiei Romane

【 摘 要 】

Connection of Distributed Generation (DG) in the power system can create undesirable impacts on the stability characteristics. The subsequent transient instability, thereupon, severe oscillations in rotor of synchronous machines have led to trip of affected generation. Application of power system stabilizer (PSS) is regarded as an effective solution in order to suppress these oscillations; as well its innovative version can stabilize the power system much faster. Hence, Fractional Order (FO) controller has been here consolidated with Adaptive Neuro-Fuzzy Inference System (ANFIS) for constructing an effective PSS to improve both the system voltage profile and rotor angle stability. FO controller with consideration of its supplemental parameters has provided an appropriate tool to reinforce the performance of ANFIS. So-called FOANFIS-PSS has been thoroughly evaluated during connection of DG units to the 12-bus 3-area power system. Furthermore, Non-dominated Sorting Genetic Algorithms-II (NSGA-II) which is a common and prominent non-domination based genetic algorithm to unravel the multi objective optimization problems, it has been used to solve the aforementioned problem related to DG-connection. To validate the transient performance of suggested stabilizer, it has been thoroughly compared with ANFIS-PSS and Conventional PSS (CPSS). Finally, the simulation results have transparently approved the stabilization capability of FOANFIS-PSS as compared with ANFIS-PSS and CPSS to enhance of both the voltage profile stability and rotor angle stability.

【 授权许可】

Unknown