Flower Pollination Algorithm Based PDFF Controller for a Two-Area Interconnected Thermal Power System with Gas / Diesel Units
Abstract - 125


Flower Pollination Algorithm (FPA), Load- Frequency Control (LFC), Pseudo Derivative Feed Forward Controller (PDFF).

How to Cite

Subramanian GG, Chidambaram IA, Manoharan JS. Flower Pollination Algorithm Based PDFF Controller for a Two-Area Interconnected Thermal Power System with Gas / Diesel Units. Glob. J. Energ. Technol. Res. Updat. [Internet]. 2017 Dec. 31 [cited 2024 Feb. 22];4(1):26-34. Available from: https://avantipublishers.com/index.php/gjetru/article/view/773


This paper presents a new approach for designing a Pseudo Derivative Feed Forward (FDFF) controller for the load- frequency control of the interconnected power system comprising Thermal power system and Gas / Diesel power plants. The proposed PDFF controller is designed to improve the dynamic performance of the frequency and tie line power under a sudden load disturbance in an area with the computation of Ancillary Service Requirement Assessment Indices (ASRAI). The PDFF controller is optimized using Flower Pollination Algorithm (FPA) which is based on the quality of pollination process of flowers. The optimized PDFF controller is implemented to bring back the frequency to stable state and the net interchanges to their desired values for each control area in the shortest possible time based on the settling time and peak over shoot concept of control input deviations of each area. Simulation result reveals that the interconnected thermal power system with Gas power plant ensures a better dynamic and steady state performance than that of the system incorporated with Diesel power plant.



Shashi Kant Pandey, Soumya R Mohanty and NandKishor. A literature survey on load–frequency control for conventional and distribution generation power systems. Renewable and Sustainable Energy Reviews Renewable and Sustainable Energy Reviews 2013; 25: 318-334. https://doi.org/10.1016/j.rser.2013.04.029

Singh Parmar KP, Majhi S and Kothari DP. Load frequency control of a realistic power system with multi-source power generation. Electrical Power and Energy Systems 2012; 42: 426-433. https://doi.org/10.1016/j.ijepes.2012.04.040

Dong L, Zhang Y and Gao Z. A robust decentralized load frequency controller for interconnected power systems. ISA Transaction 2012; 51: 410-419. https://doi.org/10.1016/j.isatra.2012.02.004

Sivachandran P, Lakshmi D and Amalrajan R. A Study on Load Frequency Control. Middle-East Journal of Scientific Research 2016; 24(3): 740-749.

Mukta and Balwinder Singh Surjan. Load Frequency Control of Interconnected Power System in Deregulated Environment: A Literature Review. International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249- 8958; 2013; 2(3): 435-441.

Ibraheem and Omveer Singh. Current Philosophies of Intelligent Techniques based AGC for Interconnected Power Systems. International Journal of Energy Engineering (IJEE) 2014; 4(4): 141-150.

Velusami S and Chidambaram IA. Decentralized Biased dual mode controllers for Load-frequency control of interconnected power system. Electric Power Components and Systems 2006; 34(10): 1057-1075. https://doi.org/10.1080/15325000600630327

Sadia Firdous and Mohammed Abdul Rahman Uzair. Load Frequency Control Techniques. International Journal of Science. Engineering and Technology Research (IJSETR) 2015; 4(8): 2887-2893.

Chatterjee, Ghoshal SP and Mukherjee V. Transient Performance Improvement of Thermal System Connected to Grid Using Distributed Generation and Capacitive Energy Storage Unit. International Journal on Electrical Engineering and Informatics 2010; 2(3): 159-178. https://doi.org/10.15676/ijeei.2010.2.3.1

Ramakrishna KSS, Pawan Sharma and Bhatti TS. Automatic generation control of interconnected power system with diverse sources of power generation. International Journal of Engineering, Science and Technology 2010; 2(5): 51-65. https://doi.org/10.4314/ijest.v2i5.60102

Soon Kiat Yee, Jovica V Milanovic and Michael Hughes F. Overview and Comparative Analysis of Gas Turbine Models for System Stability Studies. IEEE Transactions on Power Systems 2008; 23(1): 108-118. https://doi.org/10.1109/TPWRS.2007.907384

Hajagos LM and Berube GR. Utility Experience with Gas Turbine Testing and Modeling. IEEE Transactions on Power Engineering Society, Winter Meeting 2001; 2: 671-677. https://doi.org/10.1109/PESW.2001.916934

Yang XS. Flower pollination algorithm for global optimization. Berlin Heidelberg: Springer 2012. https://doi.org/10.1007/978-3-642-32894-7_27

Yang XS, Karamanoglu M and He X. Flower pollination algorithm: a novel approach for multi objective optimization. Engineering Optimization 2014; 46(9): 1222-1237. https://doi.org/10.1080/0305215X.2013.832237

Yang XS. Flower pollination algorithm for global optimization, in: Unconventional Computation and Natural Computation. Lecture Notes in Computer Science 2012; 7445: 240-249. https://doi.org/10.1007/978-3-642-32894-7_27

Mohamed Abdel-Baset and Ibrahim M Hezam. An Effective Hybrid Flower Pollination and Genetic Algorithm for Constrained Optimization Problems. International Journal Advanced Engineering Technology and Application 2005; 3: 27-34.

ManMehak Sidhu and Shivani Mehta. Pollination Based Optimization for Economic Load Dispatch Problem. International Journal of Research in Advent Technology 2015; 3(4): 27-36.

Kirandeep Kaur, Khushal Thakur and Anmol Goyal. Flower Pollination Algorithm (FPA) Optimization based Multiuser Detection for DS-UWB Communication System. International Journal of Research in Electronics and Computer Engineering (IJRECE) 2015; 3(2): 159-164.

Chidambaram IA and Sridhar ND. Computation of Ancillary Service Requirement Assessment Indices for Load Frequency Control in a Restructured Power System using SMES Unit and SCES Unit. Global Journal of Energy Technology Research Updates 2014; 1(1): 1-15.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2017 G. Ganesan Subramanian, I. A.Chidambaram, J. Samuel Manoharan