Linear quadratic Gaussian control for resonance damping in microgrids with cascaded converters

Niragire, Amlam; Abdulkader, Rasheed; McCann, Roy

doi:10.1109/isgt.2017.8086017

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…One of the methods used to solve optimization problems with uncertain parameters is the linear quadratic gaussian (LQG) [12]. There are several reports in varying fields regarding the advantages of using this control method: for example, power system [13], [14], mechanical control problem [15], [16], power flow [17], unmanned aerial vehicle [18], simplified car [19], acquisition process [20], slung transportation [21], vehicle automation [22], [23], buck converter controlling [24], robotic & electronic systems [25], [26], and optics system [27].…”

Section: Introductionmentioning

confidence: 99%

Control of inventory system with random demand and product damage during delivery using the linear quadratic gaussian method

Sutrisno

Widowati

Tjahjana

2021

IJEECS

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This study formulates a dynamical system for the control of a single product inventory system in accordance with the random value of demand and the percentage of damaged product during the delivery process. The formulated model has the form of a linear state-space system comprising of two disturbances, which represents the random value of demand and the percentage of the damaged product during delivery. The optimal value of the product amount ordered to the supplier is properly calculated by using the linear quadratic gaussian (LQG) method. The controller is used by the manager to make inventory level decisions under the uncertainty of demand and damaged items during the product delivery process. The result showed that the optimal product order for each review time was achieved, and the inventory level was used to obtain the right set point properly. Moreover, based on comparison with other research results, the proposed model was well performed.

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Section: Introductionmentioning

confidence: 99%

Control of inventory system with random demand and product damage during delivery using the linear quadratic gaussian method

Sutrisno

Widowati

Tjahjana

2021

IJEECS

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“…Linear-Quadratic-Gaussian (LQG) controller [46,53,80]. This is a Kalman filter-based linear-quadratic regulator [57].…”

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confidence: 99%

Analysis of Voltage and Reactive Power Algorithms in Low Voltage Networks

Stanelytė

Radziukynas

2022

Energies

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The rapid development of renewable energy sources and electricity storage technologies is further driving the change and evolution of traditional energy systems. The aim is to interconnect the different electricity systems between and within countries to ensure greater reliability and flexibility. However, challenges are faced in reaching it, such as the power grid complexity, the system control, voltage fluctuations due to the reverse power flow, equipment overloads, resonance, incorrect island setting, and the diversity of user needs. The electricity grid digitalization in the market also requires the installation of smart devices to enable real-time information exchange between the generator and the user. Inverter-based distributed generation (DG) may be used to control the grid voltage. Smart PV inverters have the capability to supply both inductive and capacitive reactive power to control the voltage at the point of interconnection with the grid, and only technical parameters of smart PV inverters limit this capability. Reactive power control is related to ensuring the quality of voltage in the electricity distribution network and compensating reactive power flows, which is a technical–economic aspect. The goal of this research is to present an analysis of controllers that supply reactive power to the electrical grid via PV systems. This research analyzes recent research on local, centralized, distributed, and decentralized voltage control models in distribution networks. The article compares various approaches and highlights their advantages and disadvantages. The voltage control strategies and methodologies mentioned in the article can serve as a theoretical foundation and provide practical benefits for PV system development in distribution networks. The results of the research show that the local voltage control approach, as well as linear and intelligent controllers, has great potential.

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Proportional-Integral Controller based on Fractional Calculus for a Microgrid System

Abdulkader

2023

2023 International Conference on Fractional Differentiation and Its Applications (ICFDA)

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Linear quadratic Gaussian control for resonance damping in microgrids with cascaded converters

Cited by 5 publications

References 11 publications

Control of inventory system with random demand and product damage during delivery using the linear quadratic gaussian method

Control of inventory system with random demand and product damage during delivery using the linear quadratic gaussian method

Analysis of Voltage and Reactive Power Algorithms in Low Voltage Networks

Proportional-Integral Controller based on Fractional Calculus for a Microgrid System

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