Load–Frequency Control Using Multi-objective Genetic Algorithm and Hybrid Sliding Mode Control-Based SMES

Khosraviani, Mehrshad; Jahanshahi, Mohsen; Farahani, Mohsen; Bidaki, Amir Reza Zare

doi:10.1007/s40815-017-0332-z

Cited by 26 publications

(22 citation statements)

References 33 publications

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“…3. Moreover, the SMES control loop parameters are given in Appendix [19]. Therefore, in this study, the designed SMES unit gives a good dynamic stability during the transients even when the system parameters are changed by ±50% of their nominal values.…”

Section: Frequency Control Based On Smes Systemmentioning

confidence: 95%

“…The SMES technology is one of the most important energy storage devices, which is considered the most appropriate for frequency stability enhancement due to it has many merits such as fast response, high efficiency, and long lifetime compared to other energy storage devices [17]. The SMES system storages the power in the magnetic coil, which made from a superconducting material with nearly zero loss of energy [19]. Where, the SMES unit comprises a dc superconducting magnetic coil, which is included in helium container, power electronic devices (i.e., inverter/converter) that are used to connect the dc magnetic coil to the ac power system, and Υ-Δ/Υ-Υ transformer as shown in Fig.…”

Section: Frequency Control Based On Smes Systemmentioning

confidence: 99%

“…Moreover, the current of the superconducting inductor must be quickly restored to its nominal value after a disturbance in the system so that it can respond to the next load disorder immediately. Consequently, the current deviation of the inductor can be detected and utilized as a negative feedback signal in the SMES control loop so that the current recovery can be enhanced to its nominal value [19]. Thus, the gradual change in the voltage applied to the inductor (ΔEd) and the inductor current deviation (ΔId) can be defined as follows:…”

Section: Frequency Control Based On Smes Systemmentioning

confidence: 99%

“…The performance of the probable solution point is determined by the fitness function as seen in Eq. (19). Moreover, the size of the swarm determines the requirements of global optimization and computation time.…”

Section: Implementation Of a Pso-pi Controllermentioning

confidence: 99%

“…Among many ESSs, SMES is most suited for improved frequency stability in power systems, due to its outstanding advantages such as fast response, high efficiency, and long lifetime [17]. Therefore, a few research and studies on SMES applications for power systems have been conducted in [18][19][20][21]. According to the aforementioned references, there is no report for SMES system to analyze the frequency stability for a multi-source power system during high-level RESs penetration and contingencies.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Optimized coordinated control of LFC and SMES to enhance frequency stability of a real multi-source power system considering high renewable energy penetration

Magdy

Shabib

Elbaset

et al. 2018

Prot Control Mod Power Syst

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With rapidly growing of Renewable Energy Sources (RESs) in renewable power systems, several disturbances influence on the power systems such as; lack of system inertia that results from replacing the synchronous generators with RESs and frequency/voltage fluctuations that resulting from the intermittent nature of the RESs. Hence, the modern power systems become more susceptible to the system instability than conventional power systems. Therefore, in this study, a new application of Superconducting Magnetic Energy Storage (SMES) (i.e., auxiliary Load Frequency Control (LFC)) has been integrated with the secondary frequency control (i.e., LFC) for frequency stability enhancement of the Egyptian Power System (EPS) due to high RESs penetration. Where, the coordinated control strategy is based on the PI controller that is optimally designed by the Particle Swarm Optimization (PSO) algorithm to minimize the frequency deviations of the EPS. The EPS includes both conventional generation units (i.e., non-reheat, reheat and hydraulic power plants) with inherent nonlinearities, and RESs (i.e., wind and solar energy). System modelling and simulation results are carried out using Matlab/ Simulink® software. The simulation results reveal the robustness of the proposed coordinated control strategy to preserve the system stability of the EPS with high penetration of RESs for different contingencies.

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Section: Frequency Control Based On Smes Systemmentioning

confidence: 95%

Section: Frequency Control Based On Smes Systemmentioning

confidence: 99%

Section: Frequency Control Based On Smes Systemmentioning

confidence: 99%

Section: Implementation Of a Pso-pi Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimized coordinated control of LFC and SMES to enhance frequency stability of a real multi-source power system considering high renewable energy penetration

Magdy

Shabib

Elbaset

et al. 2018

Prot Control Mod Power Syst

View full text Add to dashboard Cite

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Hybrid technique for load frequency control of renewable energy sources with unified power flow controller and energy storage integration

Munisamy

Sundarajan

2021

Intl J of Energy Research

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In this manuscript, the load frequency control (LFC) of multiple area hybrid power system (PS) integrated with renewable energy sources (RESs) using energy storage system (ESS) is proposed. The proposed hybrid method is the joint execution of Meta-heuristic Anopheles Search Algorithm (MASA) and artificial intelligence (AI) technique and hence it is named as MASAAI technique. The main aim of the proposal is "to diminish the load frequency deviations in 3-area hybrid PS." The thyristor controlled phase shifter (TCPS) and ultra-capacitor (UC) application are used in LFC. During the operation of power system, the power distribution quality is suffered owing to continual and random changes in load. Hence, the PS control is necessary for maintaining a continual balance amid the power generation and load demand. The proportional integral derivative (PID) is agreed to LFC mode. Here, the 3-area system is incorporated with conventional RESs like solar, biomass, and fuel cell. UPFC is joined in series with tie-line, ensures the stabilization of the system and also presents more service and the quality of power is sustained by the subordinate control of super capacitor energy storage. With the help of MASAAI method, suppressing the peak value of the frequency deviation by power modulation control is a way to lessen this issue. With this proper control, the MASAAI method efficiency becomes optimum in deregulated environment that is agreed to LFC mode. Finally, the proposed method is activated in MATLAB/Simulink site and the performance is compared with existing methods. Finally, the simulation outcomes demonstrate that the efficiency of MASAAI method is more efficient compared to the existing methods. K E Y W O R D S artificial intelligence (AI) technique, frequency deviation, load frequency control, metaheuristic anopheles search algorithm (MASA)

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Super-Twisting Algorithm-Based Sliding Mode Control of SMES for Frequency Control in Wind Penetrated Power System

Thoker

Lone

2021

Springer Proceedings in Energy

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Load–Frequency Control Using Multi-objective Genetic Algorithm and Hybrid Sliding Mode Control-Based SMES

Cited by 26 publications

References 33 publications

Optimized coordinated control of LFC and SMES to enhance frequency stability of a real multi-source power system considering high renewable energy penetration

Optimized coordinated control of LFC and SMES to enhance frequency stability of a real multi-source power system considering high renewable energy penetration

Hybrid technique for load frequency control of renewable energy sources with unified power flow controller and energy storage integration

Super-Twisting Algorithm-Based Sliding Mode Control of SMES for Frequency Control in Wind Penetrated Power System

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