Abstract :
The modern electric grid is one the most complex man made control systems. Automatic generation control plays an important role in power system operation to maintain the frequency within an acceptable range and to properly respond to load changes under normal conditions. Many publications have been made in the area of Load frequency control LFC of interconnected power systems. Load frequency control is necessary to develop better control in order to achieve less effect on the frequency and tie line power deviations after a load perturbation. However, number of control strategies has been employed in the design of load frequency controllers in order to achieve a better dynamic response and the exact choice of the LFC controller in a particular case requires sufficient expertise because each controller has its own merits and demerits. Due to this, an appropriate review of load frequency control LFC mechanism is essential and a few attempts have been made in this concern. This paper presents a detailed survey on load frequency control LFC mechanism. In this paper detailed analysis of various control methodologies based on classical control, robust and self tuning control and various soft computing control techniques are discussed. Finally, the investigations on incorporating fast acting energy storage devices such as Battery energy storage system BESS , superconducting magnetic energy storage SMES , Redox flow batteries RFB and Flexible AC transmission systems FACTS devices for mitigating the LFC problems in a deregulated power system are also addressed Nazia Kosser "Load frequency control issues in multiarea power system: A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd11650.pdf Paper URL: http://www.ijtsrd.com/engineering/electrical-engineering/11650/load-frequency-control-issues-in-multiarea-power-system-a-review/nazia-kosser
Keyword :
Load frequency control, Classical control, Optimal Control, Adaptive control, Energy storage systems