Access the full text.
Sign up today, get DeepDyve free for 14 days.
(2012)
Teaching–learningbased optimization: an optimization method for continuous nonlinear large scale problems
B. Sahu, S. Pati, S. Panda (2014)
Hybrid differential evolution particle swarm optimisation optimised fuzzy proportional–integral derivative controller for automatic generation control of interconnected power systemIet Generation Transmission & Distribution, 8
R. Shankar, Ashiwani Kumar, U. Raj, K. Chatterjee (2018)
Fruit fly algorithm-based automatic generation control of multiarea interconnected power system with FACTS and AC/DC links in deregulated power environmentInternational Transactions on Electrical Energy Systems
J. Nanda, L. Saikia (2008)
Comparison of performances of several types of classical controller in automatic generation control for an interconnected multi-area thermal system2008 Australasian Universities Power Engineering Conference
Y. Arya (2018)
Automatic generation control of two-area electrical power systems via optimal fuzzy classical controllerJ. Frankl. Inst., 355
Saumya Gautam, Nakul Goyal (2010)
Improved particle swarm optimization based load frequency control in a single area power system2010 Annual IEEE India Conference (INDICON)
T. Masuta, A. Yokoyama (2012)
Supplementary Load Frequency Control by Use of a Number of Both Electric Vehicles and Heat Pump Water HeatersIEEE Transactions on Smart Grid, 3
R. Pope (1895)
The American Institute of Electrical EngineersScience
A. Debs (1988)
Automatic Generation Control
V. Soni, G. Parmar, Mithilesh Kumar (2021)
A hybrid grey wolf optimisation and pattern search algorithm for automatic generation control of multi-area interconnected power systemsInt. J. Adv. Intell. Paradigms, 18
D. Das, J. Nanda, M. Kothari, D. Kothari (1990)
AUTOMATIC GENERATION CONTROL OF A HYDROTHERMAL SYSTEM WITH NEW AREA CONTROL ERROR CONSIDERING GENERATION RATE CONSTRAINTElectric Machines and Power Systems, 18
T. Panigrahi, Aurobindo Behera, A. Sahoo (2017)
Novel approach to Automatic Generation Control with various Non-linearities using 2-degree-of-freedom PID controllerEnergy Procedia, 138
R. Sahu, S. Panda, S. Padhan (2015)
A hybrid firefly algorithm and pattern search technique for automatic generation control of multi area power systemsInternational Journal of Electrical Power & Energy Systems, 64
N. Babu, L. Saikia (2021)
Load frequency control of a multi‐area system incorporating realistic high‐voltage direct current and dish‐Stirling solar thermal system models under deregulated scenarioIET Renewable Power Generation
B. Acharyulu, B. Mohanty, P. Hota (2020)
Analysis of moth flame optimization optimized cascade proportional‐integral‐proportional‐derivative controller with filter for automatic generation control system incorporating solar thermal power plantOptimal Control Applications and Methods, 41
Ragini Patel, Chaojie Li, Xinghuo Yu, B. Mcgrath (2018)
Optimal Automatic Generation Control of an Interconnected Power System Under Network ConstraintsIEEE Transactions on Industrial Electronics, 65
T. Ota, K. Mizuno, K. Yukita, H. Nakano, Y. Goto, K. Ichiyanagi (2007)
Study of load frequency control for a microgrid2007 Australasian Universities Power Engineering Conference
R. Sahu, S. Panda, U. Rout, D. Sahoo (2016)
Teaching learning based optimization algorithm for automatic generation control of power system using 2-DOF PID controllerInternational Journal of Electrical Power & Energy Systems, 77
Babu Narayanan, F. Khan, Maheedhar Patnala, R. Kanchan (2015)
POWER SYSTEM STABILITY AND CONTROL
Hadi Saadat (1998)
Power System Analysis
K. Chandrakala, S. Balamurugan, K. Sankaranarayanan (2013)
Variable structure fuzzy gain scheduling based load frequency controller for multi source multi area hydro thermal systemInternational Journal of Electrical Power & Energy Systems, 53
Nimai Patel, B. Sahu, M. Debnath (2019)
Automatic generation control analysis of power system with nonlinearities and electric vehicle aggregators with time-varying delay implementing a novel control strategy
K. Rajesh, Subhransu Dash, R. Rajagopal (2019)
Hybrid improved firefly-pattern search optimized fuzzy aided PID controller for automatic generation control of power systems with multi-type generationsSwarm Evol. Comput., 44
O. Elgerd, C. Fosha (1970)
Optimum Megawatt-Frequency Control of Multiarea Electric Energy SystemsIEEE Transactions on Power Apparatus and Systems, 89
S. Tripathy, K. Juengst (1997)
Sampled data automatic generation control with superconducting magnetic energy storage in power systemsIEEE Transactions on Energy Conversion, 12
S. Ghoshal (2004)
Optimizations of PID gains by particle swarm optimizations in fuzzy based automatic generation controlElectric Power Systems Research, 72
O. Elgerd, H. Happ (1972)
Electric Energy Systems Theory: An Introduction, 2
S. Mirjalili (2016)
SCA: A Sine Cosine Algorithm for solving optimization problemsKnowl. Based Syst., 96
J. Simpson-Porco (2020)
On Area Control Errors, Area Injection Errors, and Textbook Automatic Generation ControlIEEE Transactions on Power Systems, 36
Due to dynamic load on interconnected power system, the system frequency tends to vary. It is important to balance the active power demand and active power generation at all the time in order to minimise the deviation of frequency in interconnected power system. The control mechanism by which the demand and generation is balanced in order to minimise the frequency deviation is known as load frequency control (LFC). This article explains the load frequency control (LFC) in multi-area multi-unit interlinked linear as well as nonlinear power system by employing fuzzy logic integrated PID (FIPID) controller. A PID controller is also separately implemented for performance comparison. Every control area in the system possesses with a non-reheat thermal plant and a hydro plant. The parameters of the implemented controllers are fine-tuned by application of teaching learning based optimisation (TLBO) algorithm and modified sine cosine algorithm (MSCA) separately using integral time absolute error (ITAE) as the fitness function. Thus, four different controllers are implemented to study the LFC issues and the four controllers so implemented are TLBO-PID, MSCA-PID, TLBO-FIPID and MSCA-FIPID controllers. A comparative performance analysis is accomplished between these controllers by injecting an instantaneous load of 1.5% in area-1. At last, the robustness of the proposed MSCA-FIPID controller is examined by performing the sensitivity analysis and injecting a random step load in area-1 of the power system in presence of communication delay and system nonlinearities.
Technology and Economics of Smart Grids and Sustainable Energy – Springer Journals
Published: Dec 8, 2021
Keywords: Load frequency control; Governor dead band; Area control error; Generation rate constraint; FIPID controller; Objective function; Teaching learning based optimisation; Modified sine cosine algorithm; Transient response
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.