Hybrid Gravitational–Firefly Algorithm-Based Load Frequency Control for Hydrothermal Two-Area System

Mathematics

Avireni Srinivasulu¹  Nicu Bizon²  Phatiphat Thounthong³  DeepakKumar Gupta⁴  AnkitKumar Soni⁴  SunilKumar Mishra⁵  AmitkumarV. Jha⁵  Bhargav Appasani⁵ 

[1]Department of Electronics Engineering, JECRC University, Jaipur 303905, India

[2]Faculty of Electronics, Communication and Computers, University of Pitesti, 110040 Pitesti, Romania

[3]Renewable Energy Research Centre (RERC), Department of Teacher Training in Electrical Engineering, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, 1518, Pracharat 1 Road, Bangsue, Bangkok 10800, Thailand

[4]School of Electrical Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India

[5]School of Electronics Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar 751024, India

关键词: load frequency control;    automatic generation control;    controllers;    optimization techniques;    multisource power system;    interconnected power system;   

DOI  :  10.3390/math9070712

来源: DOAJ

【 摘 要 】

The load frequency control (LFC) and tie-line power are the key deciding factors to evaluate the performance of a multiarea power system. In this paper, the performance analysis of a two-area power system is presented. This analysis is based on two performance metrics: LFC and tie-line power. The power system consists of a thermal plant generation system and a hydro plant generation system. The performance is evaluated by designing a proportional plus integral (PI) controller. The hybrid gravitational search with firefly algorithm (hGFA) has been devised to achieve proper tuning of the controller parameter. The designed algorithm involves integral time absolute error (ITAE) as an objective function. For two-area hydrothermal power systems, the load frequency and tie-line power are correlated with the system generation capacity and the load. Any deviation in the generation and in the load capacity causes variations in the load frequencies, as well as in the tie-line power. Variations from the nominal value may hamper the operation of the power system with adverse consequences. Hence, performance of the hydrothermal power system is analyzed using the simulations based on the step load change. To elucidate the efficacy of the hGFA, the performance is compared with some of the well-known optimization techniques, namely, particle swarm optimization (PSO), genetic algorithm (GA), gravitational search algorithm (GSA) and the firefly algorithm (FA).

【 授权许可】

Unknown