Load frequency control of power system considering electric Vehicles’ aggregator with communication delay

Tripathi, Santosh Kumar; Singh, Vijay Pratap; Kishor, Nand; Pandey, Amritanshu

doi:10.1016/j.ijepes.2022.108697

Cited by 36 publications

(23 citation statements)

References 29 publications

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“…𝑡 is the total controllable energy of all EACs, which is considered as the overall output capacity. After charging, electric airplanes can only respond to the LFC signal within their allowed SOC range if the following conditions are met [50,51].…”

Section: Electric Aircraft Modelmentioning

confidence: 99%

Robust self‐adaptive fuzzy controller for load‐frequency control of islanded airport microgrids considering electric aircraft energy storage and demand response

Shayeghi,

Davoudkhani,

Bizon

2024

IET Renewable Power Gen

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The rise of the renewable energy sources (RES) in microgrids has increased the impact of damping and low inertia on network stability. This gives rise to several issues in the power systems, including power fluctuations from variable RES, degradation of the frequency regulation, voltage surges, and oversupply from grid‐connected distributed generators. This paper presents a cascaded hybrid load‐frequency controller for an airport microgrid that addresses frequency fluctuations caused by load changes. It is combining a self‐adaptive fuzzy controller (SAF) and a classical two‐degree‐of‐freedom proportional integral derivative (PID) controller (2DOFPID) called CSAF‐2DOFPID. It is applied to the control section of a diesel generator, an electric aircraft energy storage system, and a demand response program. The controller parameters are optimized using a suggested hybrid differential artificial hummingbird algorithm (D‐AHA) to minimize frequency deviation. The proposed control framework is simulated on an airport microgrid comprising various components, and the impact of time delay on the controller's signals, system uncertainty is also examined. The simulation results demonstrate that the proposed self‐adaptive cascaded fuzzy controller outperforms other controllers such as PID, CF‐PID, and CF‐2DOFPID in reducing frequency fluctuations, and the D‐AHA algorithm achieves favourable results compared to other algorithms in the optimal tuning controller parameters.

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Section: Electric Aircraft Modelmentioning

confidence: 99%

Robust self‐adaptive fuzzy controller for load‐frequency control of islanded airport microgrids considering electric aircraft energy storage and demand response

Shayeghi,

Davoudkhani,

Bizon

2024

IET Renewable Power Gen

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“…Other techniques to reduce overshoot and improve efficiency are discussed in [14]- [16].Undershoot reduction is summarised in [17][18][19][20]. The overshoot reduction techniques used for robotics, electric vehicles and dynamic systems [21][22][23]. The reduction in overshoot for boost and buck-boost converter are discussed [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Quantitative evaluation measures for DC-DC converters

Muhammad

Amin

2023

IEICE Electron. Express

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The use of power electronics has increased in everyday applications such as portable devices, biomedical, electric vehicles, etc. One of the major issues in such devices is an overshoot observed in the output voltage. The desired output in the converters comes with the over/undershoot problem which affects their performance. State-of-the-art evaluation measures such as overshoot percentage, settling time, and rise time only analyze a certain aspect and do not estimate the true performance of the system. In this work, we propose two new evaluation measures to analyze the performance of the converters overcoming the limitations of existing measures, i) Total over-under shoot (TS) and ii) First shoot second shoot (FSSS). We also propose one composite evaluation metric Aoun stability-1 to provide a single quantitative measure to analyze the performance of the system. A basic converter with a PID controller and Machine Learning based model is used to highlight the limitations of the existing metrics and strengths of the proposed metrics. Experimental results also highlight the advantages of the proposed measures. The proposed work is also expected to attract attention from the signal processing community facing similar issues in many applications.

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“…Besides, EVs gain should vary within the expected range. In related studies, EVs gain is simply treated as constant [14][15][16]. A robust frequency control scheme was proposed in [17] for the power system model in which the uncertainty caused by the change of battery state of charge was considered.…”

Section: Introductionmentioning

confidence: 99%

“…1) A power system model including electric vehicles, deception attack and sensor fault is built. Compared with [14][15][16], the EVs model considers the demands of EV owners and the impact of SOC.…”

Section: Introductionmentioning

confidence: 99%

“…The main contributions of this paper can be outlined as follows: 1)A power system model including electric vehicles, deception attack and sensor fault is built. Compared with [14–16], the EVs model considers the demands of EV owners and the impact of SOC. 2)A proportional‐derivative sliding mode observer is applied to integrate the design of fault estimation and fault tolerance control. Compared with [26], the observer is used to estimate the fault and system state simultaneously, which does not require additional complicated fault diagnosis. 3)A multiple Lyapunov function is constructed, and then the stability criterion of the multi‐area power system is established by Lyapunov theory and matrix inequalities, where the obtained result is less conservative than that of [25].…”

Section: Introductionmentioning

confidence: 99%

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Active fault‐tolerant load frequency control for multi‐area power systems with electric vehicles under deception attacks

Liu,

Liang,

Qiao

et al. 2023

IET Control Theory & Appl

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This paper studies the active fault tolerant load frequency control of multi‐area power systems with electric vehicles under deception attacks. An integrated design of fault estimation and fault‐tolerant control is proposed to guarantee the stability of the system under sensor faults and deception attacks. Considering the uncertainty caused by the demand of the owner and the state of the battery, a multi‐area power system model is proposed. Then, an active fault tolerant load frequency control scheme is designed. The proportional‐derivative sliding mode observer is used to estimate the fault and system status in real‐time. During the fault occurrence, the estimated value obtained by the observer is utilized to design the controller without any fault diagnosis scheme, which simplifies the controller design process. A sufficient Lyapunov‐Krasovskii criterion is derived to ensure the stability performance of the multi‐area power system. Finally, simulation examples are provided for a three‐area power system contains electric vehicles, and the results prove the correctness and feasibility of the proposed fault‐tolerant control scheme.

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Load frequency control of power system considering electric Vehicles’ aggregator with communication delay

Cited by 36 publications

References 29 publications

Robust self‐adaptive fuzzy controller for load‐frequency control of islanded airport microgrids considering electric aircraft energy storage and demand response

Robust self‐adaptive fuzzy controller for load‐frequency control of islanded airport microgrids considering electric aircraft energy storage and demand response

Quantitative evaluation measures for DC-DC converters

Active fault‐tolerant load frequency control for multi‐area power systems with electric vehicles under deception attacks

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