A robust PID controller based on linear quadratic gaussian approach for improving frequency stability of power systems considering renewables

Khamies, Mohamed; Magdy, Gaber; Ebeed, Mohamed; Kamel, Salah

doi:10.1016/j.isatra.2021.01.052

Cited by 67 publications

(33 citation statements)

References 25 publications

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“…This section introduces a simplified model of a wind power generating system, where the considered model was built using the MATLAB/SIMULINK program for attaining the oscillations generated by wind turbines as shown in Figure 3 [44]. The white noise block is utilized to achieve a random wind speed.…”

Section: The Configuration Of a Wind Power Modelmentioning

confidence: 99%

An Eagle Strategy Arithmetic Optimization Algorithm for Frequency Stability Enhancement Considering High Renewable Power Penetration and Time-Varying Load

et al. 2022

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This study proposes a new optimization technique, known as the eagle strategy arithmetic optimization algorithm (ESAOA), to address the limitations of the original algorithm called arithmetic optimization algorithm (AOA). ESAOA is suggested to enhance the implementation of the original AOA. It includes an eagle strategy to avoid premature convergence and increase the populations’ efficacy to reach the optimum solution. The improved algorithm is utilized to fine-tune the parameters of the fractional-order proportional-integral-derivative (FOPID) and the PID controllers for supporting the frequency stability of a hybrid two-area multi-sources power system. Here, each area composites a combination of conventional power plants (i.e., thermal-hydro-gas) and renewable energy sources (i.e., wind farm and solar farm). Furthermore, the superiority of the proposed algorithm has been validated based on 23 benchmark functions. Then, the superiority of the proposed FOPID-based ESAOA algorithm is verified through a comparison of its performance with other controller performances (i.e., PID-based AOA, PID-based ESAOA, and PID-based teaching learning-based optimization TLBO) under different operating conditions. Furthermore, the system nonlinearities, system uncertainties, high renewable power penetration, and control time delay has been considered to ensure the effectiveness of the proposed FOPID based on the ES-AOA algorithm. All simulation results elucidate that the domination in favor of the proposed FOPID-based ES-AOA algorithm in enhancing the frequency stability effectually will guarantee a reliable performance.

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Section: The Configuration Of a Wind Power Modelmentioning

confidence: 99%

An Eagle Strategy Arithmetic Optimization Algorithm for Frequency Stability Enhancement Considering High Renewable Power Penetration and Time-Varying Load

et al. 2022

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“…Besides, this strategy gives better performance than using the LQG controller alone [17]. However, different studies considered different optimization techniques to determine the optimum constraints of the LQR, and LQG [4], [44].…”

Section: A Literature Reviewmentioning

confidence: 99%

Optimal Model Predictive and Linear Quadratic Gaussian Control for Frequency Stability of Power Systems Considering Wind Energy

et al. 2021

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This work presents a new robust control technique which combines a model predictive control (MPC) and linear quadratic gaussian (LQG) approach to support the frequency stability of modern power systems. Moreover, the constraints of the proposed robust controller (MPC-LQG) are fine-tuned based on a new technique titled Chimp optimization algorithm (ChOA). The effectiveness of the proposed robust controller is tested and verified through a multi-area power system (i.e., single-area and two-area power systems). Each area contains a thermal power plant as a conventional generation source considering physical constraints (i.e. generation rate constraint, and governor dead band) in addition to a wind power plant as a renewable resource. The superiority of the proposed robust controller is confirmed by contrasting its performance to that of other controllers which were used in load frequency control studies (e.g., conventional integral and MPC). Also, the ChOA's ingenuity is verified over several other powerful optimization techniques; particle swarm optimization, gray wolf optimization, and ant lion optimizer). The simulation outcomes reveal the effectiveness as well as the robustness of the proposed MPC-LQG controller based on the ChOA under different operating conditions considering different load disturbances and several penetration levels of the wind power.

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“…Compared to PI controller, the results show the controller's outperformance in terms of wind disturbance rejection. Similarly, the authors in [45] employed the linear quadratic gaussian algorithm to optimally refine PID controller parameters to mitigate the fluctuation effect of integrated renewable energy. The optimized PID adjusts the closed loop that includes electric generators and renewable resources.…”

Section: A Related Workmentioning

confidence: 99%

A Novel Cooperative Control Strategy to Mitigate PV Power Fluctuation and Increase its Penetration

Alsharif

2021

IEEE Access

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This paper proposes a novel optimization-based power sharing control strategy to moderate PV power intermittency and increase its penetration. Such a control strategy aims to minimize the total PV power sensitivity to the light change by re-distributing the demand power among available PV units such that the demanding power met with minimal variation. PV plant is coupled with the grid utility, and it should maintain a specific amount of power determined by the grid operator. However, due to the PV power sensitivity to the light, the delivered power at the coupling point fluctuates and leads to undesirable responses such as grid frequency excursion, stability problems, and unoptimized power generation. To address such issues, we formulate an optimization problem to reduce the total PV power sensitivity by selecting the optimal reference voltage for each PV panel. We define the power sensitivity as the rate of power change to light fluctuation to be the objective function of the proposed optimization problem, and the selected reference voltages for all PV panels are the decision variables. Compared to other conventional power-sharing techniques such as the same utilization level, droop control, and lookup table, MATLAB simulation results verify the contribution of the proposed algorithm's performance superiority in PV power sensitivity reduction, grid stability assurance, and power generation enhancement. Moreover, when there is insufficient PV power to meet the grid operator's demand, the proposed algorithm automatically sets the entire PV plant to work at its MPP without switching circuits.

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A robust PID controller based on linear quadratic gaussian approach for improving frequency stability of power systems considering renewables

Cited by 67 publications

References 25 publications

An Eagle Strategy Arithmetic Optimization Algorithm for Frequency Stability Enhancement Considering High Renewable Power Penetration and Time-Varying Load

An Eagle Strategy Arithmetic Optimization Algorithm for Frequency Stability Enhancement Considering High Renewable Power Penetration and Time-Varying Load

Optimal Model Predictive and Linear Quadratic Gaussian Control for Frequency Stability of Power Systems Considering Wind Energy

A Novel Cooperative Control Strategy to Mitigate PV Power Fluctuation and Increase its Penetration

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