Fuzzy analytic hierarchy process based generation management for interconnected power system

作     者：Varshney, T. Waghmare, A. V. Singh, V. P. Meena, V. P. Anand, R. Khan, Baseem 

作者机构：Sharda Univ Dept EECE SSET Greater Noida 201310 Uttar Pradesh India Malaviya Natl Inst Technol Dept Elect Engn Jaipur 302017 Rajasthan India Amrita Vishwa Vidyapeetham Amrita Sch Engn Dept Elect & Elect Engn Bengaluru India Hawassa Univ Dept Elect & Comp Engn Hawassa Ethiopia 

出 版 物：《SCIENTIFIC REPORTS》 (Sci. Rep.)

年 卷 期：2024年第14卷第1期

页      面：1-24页

核心收录：

主　　题：Fuzzy AHP AHP Jaya optimization algorithm PID controller AGC Power system 

摘      要：Decision makers consistently face the challenge of simultaneously assessing numerous attributes, determining their respective importance, and selecting an appropriate method for calculating their weights. This article addresses the problem of automatic generation control (AGC) in a two area power system (2-APS) by proposing fuzzy analytic hierarchy process (FAHP), an multi-attribute decision-making (MADM) technique, to determine weights for sub-objective functions. The integral-time-absolute-errors (ITAE) of tie-line power fluctuation, frequency deviations and area control errors, are defined as the sub-objectives. Each of these is given a weight by the FAHP method, which then combines them into an single final objective function. This objective function is then used to design a PID controller. To improve the optimization of the objective function, the Jaya optimization algorithm (JOA) is used in conjunction with other optimization techniques such as sine cosine algorithm (SCA), Luus-Jaakola algorithm (LJA), Nelder-Mead simplex algorithm (NMSA), symbiotic organism search algorithm (SOSA) and elephant herding optimization algorithm (EHOA). Six distinct experimental cases are conducted to evaluate the controller s performance under various load conditions, with data plotted to show responses corresponding to fluctuations in frequency and tie-line exchange. Furthermore, statistical analysis is performed to gain a better understanding of the effectiveness of the JOA-based PID controller. For non-parametric evaluation, Friedman rank test is also used to validate the performance of the proposed JOA-based controller.