Double stage controller optimization for load frequency stabilization in hybrid wind-ocean wave energy based maritime microgrid system

Latif, Abdul; Hussain, Shoeb; Das, Dulal Chandra; Ustun, Taha Selim

doi:10.1016/j.apenergy.2020.116171

Cited by 93 publications

(60 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To implement the MG, MATLAB/ SIMULINK software is used. As reported in the literature [65][66][67][68], first-order dynamic models for the fuel-cell, the diesel generator, the electrolyser, the battery and the ultra-capacitor have sufficient accuracy to simulate dynamic response in frequency deviation analyses. Also, a low order model of the wind generator consists of the aerodynamic characteristic wind turbine, the mechanical part and MPPT unit [69] can be used in the frequency analysis of MGs.…”

Section: Simulation Resultsmentioning

confidence: 93%

Inertia Response Coordination Strategy of Wind Generators and Hybrid Energy Storage and Operation Cost-Based Multi-Objective Optimizing of Frequency Control Parameters

et al. 2021

View full text Add to dashboard Cite

Due to the high penetration of renewable energy resources in microgrids (MGs), the grid inertia becomes low which leads to the grid to be vulnerable to large disturbances. The energy storage devices can play an important role to enhance the inertia of MGs. However, due to the high investment cost of storages or their dp/dt limitation, the installed energy storages cannot cover the challenge of high df/dt. A prominent solution to solve the problem is to use the inertia response of the wind generators. However, relatively high second frequency nadir is the main drawback of using the inertia response of the wind generators which may impose an extensive disturbance to MGs. Accordingly, a coordinated operation strategy for MGs between wind generator and hybrid energy storage (HES) system is proposed in this paper. In addition, to improve the inertia response of the MG; providing high-quality communication infrastructures with low delay and increasing the Ultracapacitor capacity have been paid attention. In this paper, the costs of the installed Ultracapacitor and quality of communication services are defined as the operation cost. Guaranteeing enough frequency damping for the MG with low operation cost are two conflict objectives. Therefore, a multi-objective optimization method is used to set the controllers' values and reduce the operation cost. The results confirmed that the effectiveness of the proposed strategy to control hybrid power storage in coordination with the wind generator and the frequency recovery process is improved. Also, employing the optimum values guaranteed the frequency damping effectively with low operation cost. The Integral Absolute Error (IAE) value and operation cost are reduced by 13.6% and 32%, respectively. Also, the simulation results show that the maximum MG frequency deviation and maximum df/dt is well compatible with different standards in the presence of load perturbations and different wind speeds.INDEX TERMS Microgrid (MG), Frequency control, Wind generator, Hybrid energy storage (HES), Ultra-capacitor, Inertia response, Multi-objective optimization.

show abstract

Section: Simulation Resultsmentioning

confidence: 93%

Inertia Response Coordination Strategy of Wind Generators and Hybrid Energy Storage and Operation Cost-Based Multi-Objective Optimizing of Frequency Control Parameters

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Safaria et al, 43 have illustrated a proficient PID controller for LFC in island Micro‐grid, moreover presents a model of electric vehicles for LFC system contribute. Latif et al, 44 have explained a method for LFC in an independent HMμGS contains wind driven generation (WDG), Archimedes wave power generation (AWPG), marine biodiesel generator (MBG), etc.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

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

View full text Add to dashboard Cite

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)

show abstract

“…As a result, the HPS are controlled using various traditional controls such as Proportional (P), Proportional-Integral (PI), and Proportional-Integral-Derivative (PID), as defined in [45,48,50,67,68,74,100,102,104,109,116,117,[138][139][140][141][142][143]. Other controllers, like the H∞ controller, A Two Degree of Freedom (2DOF) PI/PID controllers, fractional-order (FO) based controllers, and double stage controller, are often included in several of the cases discussed in [129,130,[143][144][145][146][147][148][149][150][151][152][153] as listed in Table 3 below. Figure 2 shows the overall control strategy for the hybrid power system along with conventional and non-conventional renewable energy sources.…”

Section: Different Controllers Adopted In Hpsmentioning

confidence: 99%

Isolated and Interconnected Multi-Area Hybrid Power Systems: A Review on Control Strategies

et al. 2021

Self Cite

View full text Add to dashboard Cite

Concerned with the increasing greenhouse gases in the atmosphere due to fossil fuels, the entire world is focusing on electricity generation through renewable energy resources. The most advantageous aspect of the distributed renewable sources is to provide the electricity to remote, scattered and the deprived rural areas by developing the hybrid power system at the smaller scale where power transmission through grid extension is not viable due to some economical, technical or environmental constraints for building new transmission lines. An accurate and adequate control strategy becomes inevitable to uphold the smooth operation by restraining the frequency and voltage deviation within its limit ensuring the highest degree of reliability of hybrid power system to provide an adequate power quality. In this paper, a comprehensive review of different control strategies adopted in isolated and interconnected multi-area hybrid power systems is presented.

show abstract

Double stage controller optimization for load frequency stabilization in hybrid wind-ocean wave energy based maritime microgrid system

Cited by 93 publications

References 37 publications

Inertia Response Coordination Strategy of Wind Generators and Hybrid Energy Storage and Operation Cost-Based Multi-Objective Optimizing of Frequency Control Parameters

Inertia Response Coordination Strategy of Wind Generators and Hybrid Energy Storage and Operation Cost-Based Multi-Objective Optimizing of Frequency Control Parameters

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

Isolated and Interconnected Multi-Area Hybrid Power Systems: A Review on Control Strategies

Contact Info

Product

Resources

About