In this paper, the application of Adaptive Neuro Fuzzy System (ANFIS) controller is used for mitigating the various Load Frequency Control (LFC) issues in a two area hydrothermal power system under deregulated environment is highlighted. To improve the LFC performance, combination of Super Conducting Magnetic Energy Source (SMES) and Thyristor Controlled Phase Shifters (TCPS) are included in its control area. The implementation of SMES-TCPS combination arrests the initial fall in frequency as well as the tie line power deviations after a sudden load disturbance. To investigate the effectiveness of the proposed approach, the dynamics of the system is analyzed with unilateral, bilateral and contract violation cases for a small load perturbation and the comparative results are also presented. The simulated results show that the performance of ANFIS controller is better than the conventional PI controller and the Fuzzy logic controller. © 2016 Elsevier Ltd. All rights reserved.

Peer Fathima A

Electrical

School of Electrical Engineering

Chennai Campus

Pappachen A

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

International Journal of Electrical Power & Energy Systems

Load frequency control (LFC) is considered as one of the most important frequency-related ancillary services in a deregulated power system. In this present work, the effect of inclusion of superconducting magnetic energy storage (SMES) system along with thyristor controlled series compensator (TCSC) in a three-area deregulated power system for mitigating the various frequency-related issues in a deregulated power system is examined. For investigating the various LFC issues, optimal gain settings of the PI controllers in each area are obtained by genetic algorithm-based performance indices. The test system simulations under MATLAB/Simulink validate that inclusion of SMES–TCSC combination effectively damps out the frequency and tie-line power oscillations in an interconnected deregulated power system under three different types of contract scenarios. © 2019, Brazilian Society for Automatics--SBA.

Journal of Control, Automation and Electrical Systems

Impact of SMES–TCSC Combination in a Multi-Area Deregulated Power System with GA-Based PI Controller

This paper presents the design of a North American Reliability Council (NERC) standards BAL-001-2 based Adaptive Neuro-Fuzzy Interface System (ANFIS) controller for multi-area deregulated power system under different contract scenarios. The proposed controller is tested on the Indian regional grid system and its control performance standards are compared with the conventional PID controller and ANFIS controller. The major objectives are (i) To find a suitable control for mitigating the diverse LFC problems in a deregulated power system (ii) to comply with the NERC control performance standards which are CPS1, CPS2 and BAAL, and (iii) to reduce the wear and tear of the generating units. Dynamic modelling of controllers, test system and simulation studies are performed using MATLAB/Simulink environment. The simulation results validate that the NERC standards based ANFIS controller is one of the best controller for the four area Indian regional grid under deregulated environment. © 2017 Ain Shams University

Fulltext

Ain Shams Engineering Journal

NERC’s control performance standards based load frequency controller for a multi area deregulated power system with ANFIS approach

Load frequency control (LFC) is an essential aspect of power system dynamics. This paper focuses on the optimization of LFC for a two-area deregulated power system under different scenarios. A recent nature-inspired ower pollination algorithm (FPA), based on the pollination process of plants, is used to tune the proportional integral (PI) controller parameters of LFC for the global minima solution. FPA is compared with a genetic algorithm, particle swarm optimization, and a conventional PI controller. During large load disturbance in the areas, controllers are incapable of reducing frequency deviations and tie-line power oscillations due to the slow response of the speed governor mechanism. Hence, to improve the dynamic response of the LFC, redox ow batteries (RFBs) are added to both areas due to their quick response and lower time constant. The simulation results show the effectiveness of the RFBs and FPA, especially in terms of overshoots, undershoots, and settling time, thereby improving the performance of LFC in the deregulated power system. The simulation was carried out on the MATLAB/Simulink platform. © 2018 TÜBITAK.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES

Two-area load frequency control with redox flow battery using intelligent algorithms in a restructured scenario

In this paper, an extensive literature survey on critical research areas of various load frequency control (LFC) methods in a deregulated power system with conventional and distributed power generators are emphasized. The main goal of LFC is to ensure zero steady state error for frequency and tie-line power deviations. This paper provides an overview of different types of deregulated power system structures, market models, contracts agreements and various control methodologies/techniques for mitigating the various LFC issues in a deregulated power system. 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. © 2017 Elsevier Ltd

Journal	Data powered by TypesetInternational Journal of Electrical Power & Energy Systems
Publisher	Data powered by TypesetElsevier BV
ISSN	0142-0615
Open Access	No