Optimization of Load Frequency with Inertia Based Wind Farm Control
L Hari Krishna1, P.Sri Vidya Devi2, R. Vijaya Santhi3
1L. Hari Krishna, PG Schloar, GRIET, Hyderabad (Telangana), India.
2P. Srividyadevi, Assistant professor, GRIET, Hyderabad (Telangana), India.
3Dr. R.Vijaya Santhi, Assistant professor, Andhra University, Visakhapatnam (A.P), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 1947-1955 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6713048419/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, optimization is proposed for Load Frequency Control (LFC) of a power system which consists of non-conventional (incorporated Wind Farm Generation) and conventional using particle swarm optimization algorithm. This study has a unique perspective based on the wind farm collaboration through inertia control, primary frequency control, and supplementary frequency control of the system. A swift power reserve in a stable condition is needed in which wind farm can ameliorate the system frequency response. It is worth saying that the wind farm consists of variable speed turbines, such as a doubly fed induction generator. In conventional power generation it controls the input to generation and so the frequency of the system. But in the case of non-conventional power generation input cannot be controlled, so it is very important to control the frequency of the system. The proposed solution controls the deviation of frequency by using various controlling techniques like integral control, washout filter, the PID controller and also determines the active power variation value in different situations. In order to improve the efficiency of the model, the defined frequency control parameters (i.e., PID coefficients) are optimized based on a multi objective function using particle swarm optimization algorithm.
Keywords: Load Frequency Control, Doubly Fed Induction Generator, Wind Farm, Particle Swarm Optimization,
Scope of the Article: Frequency Selective Surface