Effect of electric vehicles on load frequency control in interconnected thermal and hydrothermal power systems utilising CF‐FOIDF controller

Arya, Yogendra

doi:10.1049/iet-gtd.2019.1217

Cited by 128 publications

(70 citation statements)

References 46 publications

(111 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The power exchange between EV and grid is controlled by a battery charger. The power output of EV according to ACE is given as [24] SOC is the rest SOC before the injection of energy, and rated E is the rated EV capacity. The injected energy E  can be estimated as:…”

Section: Modelling Of Electric Vehiclementioning

confidence: 99%

“…In [23] electric vehicles are connected along with other energy sources to supply power as a microgrid. A promising impact of electric vehicles for frequency regulation exhibits encouraging results in [24], and also improved system performances are observed for an interconnected multiarea power system. Literature survey disclosed that several AGC techniques have been introduced in the power system, but they have certain drawbacks as some have considered non-linearity, while some have omitted.…”

Section: Introductionmentioning

confidence: 97%

See 1 more Smart Citation

A Novel Hybridized Fuzzy PI-LADRC Based Improved Frequency Regulation for Restructured Power System Integrating Renewable Energy and Electric Vehicles

et al. 2021

View full text Add to dashboard Cite

Section: Modelling Of Electric Vehiclementioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

A Novel Hybridized Fuzzy PI-LADRC Based Improved Frequency Regulation for Restructured Power System Integrating Renewable Energy and Electric Vehicles

et al. 2021

View full text Add to dashboard Cite

“…However, among different controllers, the core appealing abilities of FLC still motivate the control engineers to utilise it under different working scenarios of the modern power system. Many kinds of research studies demonstrated that cascading of FLC with traditional PI/PID/PIDF controllers advances the dynamic characteristics of the modern power system and delivers promising results [26–28]. Although, any erroneous decision for FLC parameter selection such as MFs, rule base, and so on, might deteriorate the transient response of the controller [24].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, different schemes using the fractional‐order (FO) controllers are extensively acknowledged in a number of applications such as aerospace control systems [30], FO time‐delay systems [31], etc. Its superior control performance for the systems working in an uncertain environment [32], also motivates the control practitioners for their applications in LFC [26, 28, 33]. In [15], the authors proposed a control approach that comprises of an FO and integrator order (IO) PID controller, and results display the pre‐eminence of the FO controller.…”

Section: Introductionmentioning

confidence: 99%

Frequency excursion mitigation strategy using a novel COA optimised fuzzy controller in wind integrated power systems

Sharma¹,

Dhundhara

Arya³

et al. 2020

IET Renewable Power Generation

Self Cite

View full text Add to dashboard Cite

The uncertain demeanour from wind generators and loads adversely affect the grid operational stability. Various control approaches have been explored to remedy the system uncertainties while maintaining generation and load demand balance. This study proposes a fuzzy‐based proportional–fractional integral–derivative with filter controller to sustain frequency stability in wind integrated power systems having different configurations. The controller parameters have been tuned using a recently developed coyote optimisation algorithm (COA). The proposed control approach is executed and validated on three distinct configurations of two‐area power systems. All test models are integrated with a doubly fed induction generator (DFIG) type wind turbine units (WTUs). Different case scenarios have been considered to analyse the efficacy of the proposed control strategy in the presence of WTU. Furthermore, the impact of inertial support delivered by the DFIG‐WTU and higher penetration of wind energy in the power system has been studied. The analysis reveals that the control scheme in coordination with WTU support reduces the stress on a wind turbine during the inertial control scheme and maintains the grid frequency stability under unexpected load disturbances. Stability and robustness analysis are also conducted to verify the validity of the introduced control approach.

show abstract

“…On the other hand, the V2G technology in EV improves the frequency regulation of the system by minimizing the ACE. Recently, in [32], analysis was conducted on system with conventional two-area system by incorporating EV using ICA, in which the results were compared with that of IOPID. Similarly, WCA optimization has been employed to tune parameters of FOPID controller [33].…”

Section: Introductionmentioning

confidence: 99%

A Matignon’s Theorem Based Stability Analysis of Hybrid Power System for Automatic Load Frequency Control Using Atom Search Optimized FOPID Controller

et al. 2020

View full text Add to dashboard Cite

The large-scale penetration of intermittent renewable energy (RE) sources such as wind and solar power generation may cause a problem of frequency aberration, power quality and instability to the system. This occurs when the load frequency control of interconnected system is unable to compensate the power balance between generation and load demand. To overcome these issues, this paper proposes a method to analyze the frequency stability of Hybrid Power System (HPS) through adaptive intelligent control techniques for delivering reliable power supply under the stochastic nature of RE and load demand. A recently developed physics-inspired Atom Search Optimization algorithm was applied for tuning the parameters of Fractional Order Proportional-Integral-Derivative controller for Automatic Load Frequency control of HPS. In addition, an effort was made to analyze the frequency stability of HPS using Matignon's theorem. The interconnected HPS consists of reheat thermal power system, RE sources such as wind and solar thermal power generation associated with energy storage devices namely aqua electrolyzer, fuel cell and electric vehicle. The gain and fractional terms of the controller were obtained by minimizing the Integral Time Absolute Error of interconnected system. The robustness of ASO-tuned FOPID controller is tested on two-area HPS that was modelled using MATLAB/Simulink. The results obtained were then compared with other fractional order and classical integer order controllers. From the simulation results, it is inferred that the proposed ASO-tuned FOPID controller gives superior transient and steady-state response compared with other controllers. Moreover, the self-adaptiveness and robustness of the controller was validated to account for the change in RE power generations and system parameters. Furthermore, the effectiveness of the method is proved by comparing its performance with the recent literature works. The real-time applicability of proffered controller is validated in hardware-in-the-loop simulation using Real Time Digital Simulator.

show abstract

Effect of electric vehicles on load frequency control in interconnected thermal and hydrothermal power systems utilising CF‐FOIDF controller

Cited by 128 publications

References 46 publications

A Novel Hybridized Fuzzy PI-LADRC Based Improved Frequency Regulation for Restructured Power System Integrating Renewable Energy and Electric Vehicles

A Novel Hybridized Fuzzy PI-LADRC Based Improved Frequency Regulation for Restructured Power System Integrating Renewable Energy and Electric Vehicles

Frequency excursion mitigation strategy using a novel COA optimised fuzzy controller in wind integrated power systems

A Matignon’s Theorem Based Stability Analysis of Hybrid Power System for Automatic Load Frequency Control Using Atom Search Optimized FOPID Controller

Contact Info

Product

Resources

About