Abstract:Summary
This paper presents an interlink inverter control method for providing a constant tie‐line smoothing service in a grid‐connected residential microgrid (MG) to mitigate the fluctuating nature of renewable power generation and load demand. A grid power controller is designed for an MG to keep a constant grid power on typical days of the year by maintaining the charging/discharging of the battery. To achieve this objective, the MG controller sends the reference to the interlink inverter controller based o… Show more
“…A numerical analysis between the conventional boost converter and the proposed MCICM DC-DC boost converters is depicted in Table 4. The statistical analysis shows that the proposed MCICM boost converter provides higher voltage gain than the conventional boost converter depicted in the reference Islam et al 19 THD substance of the voltages infused into the three-phase four-wire distribution network is lesser than the cutoff points indicated by the IEEE norms. M c1 and the effectiveness examination between the traditional Coupled Inductor, Capacitor Multiplier (CICM) and proposed MCICM converters.…”
Section: Hardware Resultsmentioning
confidence: 80%
“…The inverter of the proposed micro-inverter transforms the power available in the DC-link to a three-phase utility grid. The current of mutual inductance and the voltage across the leakage inductance are expressed in Equations ( 16) and (19),…”
Section: System Description and Modes Of Operationmentioning
confidence: 99%
“…The grid‐connected three‐phase small power inverter powered by the PV tied three‐port active flyback converter is developed to enrich the transfer ability of the conventional active flyback converter 18 . An interlink inverter control method that provides a constant tie‐line smoothing service to mitigate the fluctuating nature of renewable power generation and load demand has been presented in Islam et al 19 An ultra large voltage conversion ratio converter based on a switched capacitor and coupled inductor has been developed to provide high step‐up gain and to deal with the low conversion efficiency by recycling the energy stored in the coupled inductor. In the introduced topology, the spillage energy of the coupled inductors is reused to increase the efficiency of the conversion.…”
The solar power generation system is being increasingly connected to the low power distribution system due to its low cost and abundant availability. The interconnection of the solar power generation system demands new and efficient power converters to provide sufficient boost factor for the solar panel output voltage. This paper presents a Modified Coupled Inductor, Capacitor Multiplier (MCICM) direct current (DC)–DC boost converter to provide high boost factor for the solar panel output voltage and to maximize the benefits of the grid‐interfacing three‐phase three‐wire inverter. The fuzzy logic‐based DC‐link voltage controller and hysteresis current controller (HCC) are also proposed to enhance the power transfer ability of the small power grid‐connected inverter. The new topology of boost converter constructed with the coupled inductors, capacitor, and high‐frequency transformers is demonstrated through the series of tests carried out with extensive MATLAB/Simulink simulation studies. The SPARTAN 3 field‐programmable gate array (FPGA)‐based prototyping model validated the performance of the proposed topology, experimentally.
“…A numerical analysis between the conventional boost converter and the proposed MCICM DC-DC boost converters is depicted in Table 4. The statistical analysis shows that the proposed MCICM boost converter provides higher voltage gain than the conventional boost converter depicted in the reference Islam et al 19 THD substance of the voltages infused into the three-phase four-wire distribution network is lesser than the cutoff points indicated by the IEEE norms. M c1 and the effectiveness examination between the traditional Coupled Inductor, Capacitor Multiplier (CICM) and proposed MCICM converters.…”
Section: Hardware Resultsmentioning
confidence: 80%
“…The inverter of the proposed micro-inverter transforms the power available in the DC-link to a three-phase utility grid. The current of mutual inductance and the voltage across the leakage inductance are expressed in Equations ( 16) and (19),…”
Section: System Description and Modes Of Operationmentioning
confidence: 99%
“…The grid‐connected three‐phase small power inverter powered by the PV tied three‐port active flyback converter is developed to enrich the transfer ability of the conventional active flyback converter 18 . An interlink inverter control method that provides a constant tie‐line smoothing service to mitigate the fluctuating nature of renewable power generation and load demand has been presented in Islam et al 19 An ultra large voltage conversion ratio converter based on a switched capacitor and coupled inductor has been developed to provide high step‐up gain and to deal with the low conversion efficiency by recycling the energy stored in the coupled inductor. In the introduced topology, the spillage energy of the coupled inductors is reused to increase the efficiency of the conversion.…”
The solar power generation system is being increasingly connected to the low power distribution system due to its low cost and abundant availability. The interconnection of the solar power generation system demands new and efficient power converters to provide sufficient boost factor for the solar panel output voltage. This paper presents a Modified Coupled Inductor, Capacitor Multiplier (MCICM) direct current (DC)–DC boost converter to provide high boost factor for the solar panel output voltage and to maximize the benefits of the grid‐interfacing three‐phase three‐wire inverter. The fuzzy logic‐based DC‐link voltage controller and hysteresis current controller (HCC) are also proposed to enhance the power transfer ability of the small power grid‐connected inverter. The new topology of boost converter constructed with the coupled inductors, capacitor, and high‐frequency transformers is demonstrated through the series of tests carried out with extensive MATLAB/Simulink simulation studies. The SPARTAN 3 field‐programmable gate array (FPGA)‐based prototyping model validated the performance of the proposed topology, experimentally.
“…In this subsection, the control has been tested for a real irradiance and temperature data set for a typical winter day in Australia as shown in the top plot of Fig.17 [28]. The simulation has been tested for the system described in subsection IV-A.…”
Section: Simulation With Realistic Irradiance Datamentioning
The single-stage grid-connected photovoltaic (PV) topology has recently drawn attention as it can reduce overall losses and installation costs. This paper presents a new control approach for single-stage grid-connected PV systems. The proposed controller is a combination of a finite control set model predictive control (FCS-MPC) and a maximum power point tracking (MPPT) algorithm, which ensures the extraction of maximum power from the PV panels and good transient performance for the output voltage and current. The disadvantages of classical MPPT algorithms in tracking the global maximum power point under fluctuating environmental conditions are avoided by including additional constraints in the cost function of the FCS-MPC. Further, the controller is tested for partial shading in PV. The performance of the proposed controller is compared with the two-stage and single-stage PV configuration with different controls and MPPT algorithms. The simulation results show that the single-stage PV system with the proposed control can effectively extract the maximum power from the PV system and maintain a stable output signal for the transient condition. Finally, experimental results according to a control hardware-in-the-loop (C-HIL) approach are presented to validate the effectiveness of the proposed algorithm.
“…As the responses to the frequency deviation are relatively slow, low‐order linearized models can be used to simulate the frequency response model. The general power imbalance between the generated power and the load demand causes frequency deviation 27,28 . This mismatch and frequency deviation relationship can be presented by considering the rotating mass inertia of the generators in the grid using the swing equations:where ΔP m and ΔP L are the change in the mechanical and load power, respectively; ΔP w is the output power of the wind power plants; Δf is the grid frequency deviation; H and D are the rotating inertia constant and the load‐damping coefficient of the power system.…”
Section: Wind Penetrated Two‐area Power System Modelmentioning
Summary
Due to the complexity and importance of the electricity grid stability, sophisticated control systems and computational approaches are essentially required to solve dynamical system frequency problems in multi‐area systems. Participation of wind turbines in power system frequency control in the form of stepwise inertial control in the presence of a proposed adequately tuned fuzzy‐PID load‐frequency control is investigated in this paper. A two‐area power system is studied in which it is linked through tie‐line and equipped with fuzzy‐PID control systems. To increase the energy transition and flexibility of the entire system against frequency events and parameters uncertainties, the fuzzy‐PID controllers are first tuned using lightning flash algorithm (LFA). The tuned controllers are then used in each area to optimally counterbalance the frequency deviations and the tie‐line power of the interconnected areas against varying load disturbances, wind power fluctuations, and to keep the renewable integrated system in a stable state. The sensitivity analysis is also conducted with a wide range of system parameter variations, uncertainties, and disturbances. Furthermore, the LFA‐tuned fuzzy‐PID load‐frequency control is also tested in a two‐area isolated microgrid, comprising wind turbine, PV panels, fuel cells, micro‐turbine, and diesel engine generator. The results obtained using the proposed approach are compared with other state‐of‐the‐arts algorithms and control systems in the literature. The compared results show the efficiency and robustness of the proposed optimization‐based controller for better frequency control in multi‐area power systems and isolated microgrids. The results also demonstrate that a finely tuned automatic generation controller gives a significant boost to grid frequency control when wind turbines participate in the inertial control, suggesting migration from conventional PID‐based automatic generation control to more adaptive control approaches.
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