Intelligent fuzzy-based controllers for voltage stability enhancement of AC-DC micro-grid with D-STATCOM

Nafeh, Abdelnasser; Heikal, Aya; El‐Sehiemy, Ragab A.; Salem, Waleed A.A.

doi:10.1016/j.aej.2021.07.012

Cited by 53 publications

(27 citation statements)

References 35 publications

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“…Classical and fractional order controllers are also widely used in the power grid for the purpose to remove high disturbance and noise in voltage and current wave forms. Whereas provides an acceptable damping during the operation of power system at the output [18]- [20]. However our approach of employing an adaptive PSO-STSMC regulates the energy pricing signal for the energy market to efficiently utilize the available renewable energy and meet consumers' demand.…”

Section: Related Workmentioning

confidence: 99%

An Optimal Adaptive Control Strategy for Energy Balancing in Smart Microgrid Using Dynamic Pricing

et al. 2022

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Energy balancing in smart microgrid plays a vital role to improve the reliability and resolves the load shedding problem to ensure consistent energy supply. However, energy balancing is challenging due to uncertain and intermittent nature of renewable energy integrated in smart microgrid. To solve such problems, dynamic energy pricing mechanism is developed that maintain energy balance for overcoming the gap between demand and supply. Thus, the particle swarm optimization based super twisting sliding mode controller (PSO-STSMC) is developed which uses dynamic energy pricing to control renewable energy resources' generation according to the consumers' demand for real time closed loop energy balancing in an energy market. The proposed PSO-STSMC based model is compared with existing models like proportional integral derivative (PID) controller, proportional integral (PI) controller, proportional derivative (PD) controller, and fractional order proportional derivative (FO-PD) controller and the optimized models of the particle swarm optimization based proportional integral (PSO-PI) controller and particle swarm optimization based proportional integral derivative (PSO-PID) controller. Simulations results demonstrate that energy price regulation by PSO-STSMC consistently controls the elastic demand for real time energy balancing.INDEX TERMS Smart grid, dynamic price server, elastic demand, renewable energy sources, dynamic energy price, elastic demand, demand side load management, energy balance, super twisting sliding mode controller.

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Section: Related Workmentioning

confidence: 99%

An Optimal Adaptive Control Strategy for Energy Balancing in Smart Microgrid Using Dynamic Pricing

et al. 2022

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“…e communication transfer station is installed in the substation, which can save investment and facilitate transmission maintenance [17,18].…”

Section: Power Grid Intelligent Voltage Data Collectionmentioning

confidence: 99%

Online Monitoring of Power Grid Intelligent Voltage Stability considering Potential Factors

Rao

Yuan

2022

Mobile Information Systems

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To improve the monitoring effect of voltage stability, an online monitoring method for intelligent voltage stability of the power grid is designed based on the consideration of potential factors. First, the converter is used as a voltage detecting device to collect the intelligent voltage data of the power grid, and then the characteristic quantity of power grid voltage is extracted by using the wavelet change method. Based on the practical criterion of voltage instability of smart grid, the quantitative evaluation factors that can reflect the severity of voltage instability are selected, and the voltage stability state is monitored online by wide-area measurement. The experimental results show that the proposed method has a high fitting degree between the voltage monitoring value and the actual voltage value, and the global maximum value of the transmission delay of the monitoring signal is only 90.57 ms, and the voltage identification rate can always remain above 95%, indicating that the proposed method has high effectiveness and timeliness in voltage stability monitoring. In addition, the Pearson coefficients of this method are in the range of 0.8∼1.0, indicating that the monitoring accuracy of voltage stability is higher, which proves that the design expectation is effectively realized.

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“…The system's mathematical dynamics are linked and nonlinear. The DC micro grids must operate steadily, which calls for the stability of the DC link voltage [13].…”

Section: Introductionmentioning

confidence: 99%

Energy optimization mechanism using metastable-smart grid (MSSG)

Kannan¹,

Pugazhendiran²,

Keshav³

et al. 2023

J. Phys.: Conf. Ser.

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The Smart Grid model uses energy from renewable sources and utilities to manage energy in a way that ensures uninterrupted power supply for users. In order to operate independently from the main power grid, a DC micro grid is a small power system that generates and uses its own DC electricity. Solar panels, fuel cells, and wind turbines are the most typical power sources for DC micro grids, with batteries used to store any extra energy. The independence of the power grid is one feature of a DC micro grid that promotes increased lifetime. Building owners have more latitude to pursue their sustainability goals since they have control over the production, delivery, and consumption of power. Super-twisting provides a dependable method and an effective instrument for the control of uncertain nonlinear systems by addressing the basic flaws of conventional sliding mode control, notably large control effort and chattering. Fractional order controllers provide greater design freedom than conventional integer order controllers. The purpose of this work was to create a metastable-smart grid(MSSG) user end model that could dynamically manage and optimize energy produced by renewable energy sources and the utility to ensure that customers always have access to electricity. Controlling these many power sources using MSSG and delivering energy in accordance with each user’s unique power plan is the responsibility of the central control unit of the distribution grid. The supply is only switched to solar by the central control unit if a user’s power consumption falls below a predetermined threshold. Giving consumers with less purchasing power more clout as a result.

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Intelligent fuzzy-based controllers for voltage stability enhancement of AC-DC micro-grid with D-STATCOM

Cited by 53 publications

References 35 publications

An Optimal Adaptive Control Strategy for Energy Balancing in Smart Microgrid Using Dynamic Pricing

An Optimal Adaptive Control Strategy for Energy Balancing in Smart Microgrid Using Dynamic Pricing

Online Monitoring of Power Grid Intelligent Voltage Stability considering Potential Factors

Energy optimization mechanism using metastable-smart grid (MSSG)

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