Population extremal optimization-based extended distributed model predictive load frequency control of multi-area interconnected power systems

Chen, Min-Rong; Zeng, Guo‐Qiang; Xie, Xiaoyun

doi:10.1016/j.jfranklin.2018.08.020

Cited by 46 publications

(14 citation statements)

References 54 publications

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“…As one of the most widely-applied control methods in industry, model predictive control (MPC) ranks second only after PID control algorithm [11]. Recently, MPC has been extended to solve the optimal load frequency control (LFC) problems of power systems [12][13][14][15][16] and operation optimization issues of microgrids [17][18][19][20]. Especially, it should be noted that there are some existing works regarding MPC-based frequency control of microgrids [12,[19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid

et al. 2018

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Optimal frequency control of an islanded microgrid has been a challenging issue in the research field of microgrids. Recently, fractional-order calculus theory and some related control methods have attempted to handle this issue. In this paper, a novel fractional-order model predictive control (FOMPC) method is proposed to achieve the optimal frequency control of an islanded microgrid by introducing a fractional-order integral cost function into model predictive control (MPC) algorithm. Firstly, a discrete state-space model is derived for the optimal frequency control problem of an islanded microgrid. Afterward, a fractional-order integral cost function is designed to guide the FOMPC algorithm to obtain optimal control law by borrowing the Grünwald-Letnikov (GL) definition of fractional order calculus. Six simulation studies have been carried out to illustrate the superiority of FOMPC to conventional MPC under dynamical load disturbances, perturbed system parameters and random dynamical power fluctuation of wind turbines.

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Section: Introductionmentioning

confidence: 99%

Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid

et al. 2018

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“…Large-scale systems which comprise a large number of interconnected subsystems, as, e.g., power grids [29], transportation networks [30], and large scale irrigation systems [31], lead to complex, high-dimensional models. A centralized controller, e.g., as shown in Fig.…”

Section: Basis Of Mpcmentioning

confidence: 99%

Model predictive control for autonomous ground vehicles: a review

Hirche

Huang

et al. 2021

Auton. Intell. Syst.

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This paper reviews model predictive control (MPC) and its wide applications to both single and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established optimal control method, which uses the predicted future information to optimize the control actions while explicitly considering constraints. On the other hand, AGVs are able to make forecasts and adapt their decisions in uncertain environments. Therefore, because of the nature of MPC and the requirements of AGVs, it is intuitive to apply MPC algorithms to AGVs. AGVs are interesting not only for considering them alone, which requires centralized control approaches, but also as groups of AGVs that interact and communicate with each other and have their own controller onboard. This calls for distributed control solutions. First, a short introduction into the basic theoretical background of centralized and distributed MPC is given. Then, it comprehensively reviews MPC applications for both single and multiple AGVs. Finally, the paper highlights existing issues and future research directions, which will promote the development of MPC schemes with high performance in AGVs.

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“…The parameters of the controller are set according to the results of the improved whale algorithm to achieve the optimal control performance. The issue of frequency control in power systems has been studied, and the object of VSG frequency control is to minimize the frequency deviation [52,53]. Therefore, the objective function of the improved WOA is the sum of the squares of the frequency offset in the steady state, and in consideration of the dynamic performance of the system, the frequency offset value in the dynamic process is added to the objective function, and the weighted sum of the two is the final objective function value.…”

Section: Example Descriptionmentioning

confidence: 99%

Renewable Energy System on Frequency Stability Control Strategy Using Virtual Synchronous Generator

Tseng

Feng

et al. 2020

Symmetry

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This study constructs a novel virtual synchronous generator system based on a transfer function, and optimizes the parameters of the model by using the improved whale algorithm to improve the frequency control ability of virtual synchronous generator. Virtual synchronous generator technology helps to solve the problem that the integration of large-scale renewable energy generation into the power system leads to the deterioration of system frequency stability. It can maintain the symmetry of grid-connected scale and system stability. The virtual synchronous generator technology makes the inverter to have the inertia and damping characteristics of a synchronous generator. The inverter has the inertia characteristics and damps to reduce the frequency instability of high penetration renewable energy power system. The improved whale algorithm is efficient to find the best combination of control parameters and the effectiveness of the algorithm is verified by microgrid and power system. The results show that the proposed frequency coordination control scheme suppresses the frequency deviation of power system and keep the system frequency in a reasonable range.

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Population extremal optimization-based extended distributed model predictive load frequency control of multi-area interconnected power systems

Cited by 46 publications

References 54 publications

Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid

Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid

Model predictive control for autonomous ground vehicles: a review

Renewable Energy System on Frequency Stability Control Strategy Using Virtual Synchronous Generator

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