A hybrid DE–PS algorithm for load frequency control under deregulated power system with UPFC and RFB

Sahu, Rabindra Kumar; Gorripotu, Tulasichandra Sekhar; Panda, Sidhartha

doi:10.1016/j.asej.2015.03.011

Cited by 106 publications

(61 citation statements)

References 24 publications

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“…PI and a model predictive control approaches are applied to attain best closed loop performance [160]. Integral derivative (ID) controller for LFC is presented in [163,164]. Unified PID tuning method [81] and optimal Multiple Input-Multiple output (MIMO-PID) control is used for LFC [167].…”

Section: Classical Control Methodsmentioning

confidence: 99%

Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review

et al. 2018

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Power systems are the most complex systems that have been created by men in history. To operate such systems in a stable mode, several control loops are needed. Voltage frequency plays a vital role in power systems which need to be properly controlled. To this end, primary and secondary frequency control loops are used to control the frequency of the voltage in power systems. Secondary frequency control, which is called Load Frequency Control (LFC), is responsible for maintaining the frequency in a desirable level after a disturbance. Likewise, the power exchanges between different control areas are controlled by LFC approaches. In recent decades, many control approaches have been suggested for LFC in power systems. This paper presents a comprehensive literature survey on the topic of LFC. In this survey, the used LFC models for diverse configurations of power systems are firstly investigated and classified for both conventional and future smart power systems. Furthermore, the proposed control strategies for LFC are studied and categorized into different control groups. The paper concludes with highlighting the research gaps and presenting some new research directions in the field of LFC.Energies 2018, 11, 2497 2 of 35 before triggering the under/over frequency protection relays. The primary frequency control is usually implemented by the governor droop which results in steady stated errors. The secondary frequency control, which is called load frequency control (LFC) or automatic generation control (AGC), is responsible for regulating the frequency in power systems and has two main goals: (i) maintaining the frequency into a desirable range; and (ii) controlling the interchange power through major tie-lines between the different control areas. The main task of tertiary control level is re-dispatching generating units and ancillary reserve after a sever disturbance.With increasing the penetration level of renewable resources such as wind farms and photovoltaic plants in power systems, the uncertainties of active power production is highly increased, thus determining frequency variations. Such increase in active power fluctuation, beside the demand stochasticity, the frequency of power system would be highly oscillated. Therefore, future power systems need more robust and optimal LFC approaches that can handle such problems.Many control approaches have been suggested for LFC in interconnected power systems. These approaches can be categorized into four groups: (i) classical control approaches focus on designing proportional-integral-derivative (PID) controllers for controlling the frequency and tie-lines power flows; (ii) modern control approaches including optimal control method, sliding mode control schemes, and adaptive control systems; (iii) intelligent control schemes, such as fuzzy control systems; and (iv) soft computing-based approaches for controllers' parameter tuning which had a considerable attention from researchers in the last decade. Survey MethodologySeveral methodologies can be followed for conduc...

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Section: Classical Control Methodsmentioning

confidence: 99%

Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review

et al. 2018

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“…Modified Integral Derivative (MID) [26] controller is used for multi input multi area LFC to optimize using hybrid differential evaluation and partial swarm optimization algorithm. The boiler dynamics, generation rate constant and dead band non-linearity of power system is considered basing on the disturbance conditions, the controller is tuned with the proposed algorithm.…”

Section: Optimization Of Pid Controller For Multi Area Power Systemmentioning

confidence: 99%

Analysis on various optimization techniques used for Load Frequency Control in power system

Kumar

Indragandhi

2018

Serb J Electr Eng

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In a unified power system the Load Frequency Control (LFC) is taken for review looking at all aspects with various optimization techniques for optimizing the parameters of PI, PID and Fuzzy controllers. The power system with multi area consists of conventional, renewable and combination of both with some energy devices like SMES, battery sources is analyzed specifically in this manuscript. The controllers are designed for a deregulated environment of a power system for LFC. The Model Predictive Control (MPC) and some other control techniques are used to control LFC under various disturbances like GRC and dead band control. For the readers ease of understanding the time response comparison graph of the controller for single and multiple areas of power system is depicted.

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“…Further, some researchers have applied some modified and hybrid optimization techniques with supreme efficiency to achieve optimum solution. FA‐PS, DE‐PS, ASOS, DEPSO, PSO‐PS, and BFOA‐PSO algorithms are applied in LFC with clear comparative analysis with the individual optimization techniques …”

Section: Introductionmentioning

confidence: 99%

Novel application of optimal fuzzy‐adaptive symbiotic organism search‐based two‐degree‐of‐freedom fuzzy proportional integral derivative controller for automatic generation control study

Nayak

Shaw

Sahu

2020

Int Trans Electr Energ Syst

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Summary A knowledgeable and intelligent control strategy for automatic generation control (AGC) is required to supply reliable, secure, and stable power in most complex power system. So a proficient controller for AGC is indispensable to supply quality power with frequent load demand divergence. A novel two degree of freedom optimized fuzzy PID (2DOF OFPID) controller is proposed for the purpose to counterbalance generation and demand power expeditiously. This proposed controller is incorporated by blending the benefits of 2DOF PID and optimized fuzzy logic controller (FLC). The parameters and rules of proposed controller are decided by symbiotic organism search (SOS) and proposed passing vehicle search optimized fuzzy‐based SOS (PVSOFSOS) algorithms. In this work, the decisive parameters of SOS algorithm are decided by FLC. The rules of FLC in proposed algorithm are decided by PVS algorithm. The preeminence of proposed algorithm over SOS and PVS algorithms is demonstrated by resolving 12 benchmark functions (constraint and unconstrained). Further, the proposed approaches are implemented in two‐area and three‐area thermal power systems with load variation enforced in area 1. The effectiveness of the proposed approaches are graded by conceding maximum undershoot/overshoot and settling time. Sensitivity analysis of the system with proposed optimal controller is validated with large variations of system parameters. It is observed that PVSOFSOS‐based 2DOF OFPID controller proposed for AGC is more adequate as compared to some recently proposed techniques.

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A hybrid DE–PS algorithm for load frequency control under deregulated power system with UPFC and RFB

Cited by 106 publications

References 24 publications

Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review

Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review

Analysis on various optimization techniques used for Load Frequency Control in power system

Novel application of optimal fuzzy‐adaptive symbiotic organism search‐based two‐degree‐of‐freedom fuzzy proportional integral derivative controller for automatic generation control study

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