Fuzzy Mathematics-Based Outer-Loop Control Method for Converter-Connected Distributed Generation and Storage Devices in Micro-Grids

Castro, Lorena; López, Manuel Gómez; Flórez, Juan José Mora

doi:10.3390/computation9120134

Cited by 3 publications

(3 citation statements)

References 37 publications

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“…Figure 6 shows that this interval-valued fuzzy set could be represented by two ordinary symmetric static Gaussian curve membership functions. In that case, the boundary limit functions of this interval-valued fuzzy membership function could be expressed as in (22) and ( 23):…”

Section: Dynamic Fuzzification Process For the Fuzzy Antecedent And C...mentioning

confidence: 99%

Real-Time Metaheuristic Algorithm for Dynamic Fuzzification, De-Fuzzification and Fuzzy Reasoning Processes

2022

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This paper presents a systematic approach to designing a dynamic metaheuristic fuzzy logic controller (FLC) to control a piece of non-linear plant. The developed controller is a multiple-input–multiple-output (MIMO) system. However, with the proposed control mechanism is possible to adapt it to single-input–single-output (SISO) systems as well. During real-time operation, the dynamic behavior of the proposed fuzzy controller is influenced by a metaheuristic particle swarm optimization (PSO) mechanism. Nevertheless, to analyze the performance of the developed dynamic metaheuristic FLC as a piece of non-linear plant, a 1 kW four-wheel independent-drive electric rover is controlled under different road constraints. The test results show that the proposed dynamic metaheuristic FLC maintains the wheel slip ratio of all four wheels to less than 0.35 and a top recorded translational speed of 90 km/h is maintained for a fixed orientation.

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Section: Dynamic Fuzzification Process For the Fuzzy Antecedent And C...mentioning

confidence: 99%

Real-Time Metaheuristic Algorithm for Dynamic Fuzzification, De-Fuzzification and Fuzzy Reasoning Processes

2022

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“…Many methods have been studied to achieve carbon reduction goals in [1], such as developing energy storage technology,building "a "low-carbon power technology development mechanism", and building a "low-carbon power smart power utilization mechanism" and so on. The implications of the paradigm shift to carbon neutrality examined, the associated research challenge are summarized, the numerical results of comparative case studies is used to better provide decision-making in [2].A fuzzy mathematics-based control method applied to VSC is studied in [3], and the control method is proposed in both grid-connected and islanded modes. Offshore multi-terminal high-voltage dc grids is introduced in [4], and a frequency control is proposed both centralized control and AFC simultaneously.…”

Section: Introductionmentioning

confidence: 99%

Research on operational characteristics and methods for new energy nearby connected converters

zhang,

sun,

wang

et al. 2024

Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023)

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As an important means of carbon reduction, the application scale of new energy power generation is gradually expanding. With the diversity of new energy access to grid, many wind or photovoltaic converters have directly encountered issues such as circulating current or resonance, so the operational characteristics and methods for new energy nearby connected converters are crucial for the safe and stable operation of enterprise power grids. Firstly, the current research achievements and main technical characteristics were introduced; Secondly, topology design and architecture are explained, then centralized complementary architecture principles are presented based on independent port constraints; Thirdly, energy release stability control based on active protection and system regulation strategy and constraints are studied. Finally, the conclusion summarizes the main research content, the line parameters in the application of nearby connected converters is the main performance influencing factors.

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“…Energy storage systems (ESSs) are essential elements in AC and DC microgrids (MGs) since they compensate for the unbalances between generation and load produced by unpredictable renewable energy sources, like photovoltaic and wind turbine generators [1][2][3]. Although there are different ESSs technologies, like batteries, supercapacitors, flywheels, superconducting magnetic energy storage, pumped hydro, among others [4], batteries have established as the most widely used ESS technology.…”

Section: Introductionmentioning

confidence: 99%

Double Adaptive PI-Structure for Regulating a Microgrid DC Bus Using a Flyback-Based Battery Charger/Discharger Converter

2022

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DC microgrids are composed of loads, renewable sources, and storage devices that require control and protection to operate safely. The flyback converter is an alternative to connect paralleled batteries with nominal voltage DC buses; however, until now, complex controllers have been proposed, making difficult their implementation. On the other hand, when the voltage of a DC microgrid is not properly controlled, the loads may be damaged due to the voltage outside of the safe range. Therefore, proposed in this paper are two adaptive PI-structures to control a battery charger based on a flyback converter to be used in DC microgrids. The first adaptive current controller regulates the magnetizing current for stabilizing the system, and the second adaptive voltage controller regulates the voltage of the DC bus to protect the elements of the microgrid. The methodology to design the adaptive parameters of the PI-structures is developed as follows: first, the power stage of the flyback converter is introduced to derive a control-oriented model. The battery and the DC bus of the microgrid, which are interfaced by the flyback converter, are represented with widely accepted approaches. The second step is focused on modeling the system. The flyback converter, which includes a capacitance to model the DC microgrid, is represented by a dynamic model. The differential equations are averaged, and several transfer functions of the main variables are obtained. In the third step, the transfer functions are used to design the PI adaptive current controller and the PI adaptive voltage controller. In the last step, several recommendations are made to implement the power and control stages in low-cost hardware. An application example with realistic parameters is carried out in PSIM to validate the controller loops design. A battery of 12 V is connected to a DC microgrid of 48 V through a flyback converter with a switching frequency of 50 kHz. The settling time and deviation of the DC microgrid voltage, after a perturbation, are 0.845 ms and 2.04 V respectively, while the maximum values are adjusted to be 1 ms and 2.4 V. The simulation results validate the proposed procedure and the effectiveness of the PI-structures in regulating the magnetizing current and the DC bus voltage.

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Fuzzy Mathematics-Based Outer-Loop Control Method for Converter-Connected Distributed Generation and Storage Devices in Micro-Grids

Cited by 3 publications

References 37 publications

Real-Time Metaheuristic Algorithm for Dynamic Fuzzification, De-Fuzzification and Fuzzy Reasoning Processes

Real-Time Metaheuristic Algorithm for Dynamic Fuzzification, De-Fuzzification and Fuzzy Reasoning Processes

Research on operational characteristics and methods for new energy nearby connected converters

Double Adaptive PI-Structure for Regulating a Microgrid DC Bus Using a Flyback-Based Battery Charger/Discharger Converter

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