Cross-Regulation Assessment of DIDO Buck-Boost Converter for Renewable Energy Application

Soman, Deepak Elamalayil; Leijon, Mats

doi:10.3390/en10070846

Cited by 4 publications

(6 citation statements)

References 17 publications

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“…The proposed method has minimum sensitivity indices of 0.012, whereas in [28], it is found to be 0.016, which is calculated based on the step change in voltage variations. It is observed that while calculating the sensitivity index, the value obtained is less than the value mentioned in [13][14][15]22]. In summary, the DMPC controller used in PSLLC converter is superior to the existing methods.…”

Section: Comparison With Existing Workmentioning

confidence: 83%

“…If the NI < 0 system is integral unstable and if NI = 0, a favorable interaction is possible. The formulae to calculate RGA are mentioned in Equations (20)- (22). Figure 8 shows the decoupled network of the DIDO system.…”

Section: Decoupling Methodsmentioning

confidence: 99%

“…To illustrate the performance of the developed prototype and its controller, comparisons are made with the existing work in the literature [13][14][15]22,28]. The designed values with the cross-regulation are listed in Table 4.…”

Section: Comparison With Existing Workmentioning

confidence: 99%

“…However, the circuit used to develop ICR and OVR increases the system complexity. In paper [22], the pulse delay control (PDC) method is employed to examine the capability of cross-regulation in a MIMO system, which exhibits a large range of control, but the ripple current in the inductor is not same for all cases and the state averaging method is not applied to all different cases. The linear quadratic controller (LQR) method for SIDO and DIDO system is developed to achieve good steady-state response, transient response, stable line, load regulation, and reduced cross-regulation [23].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC Converter

et al. 2020

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This paper proposes a digital model predictive controller (DMPC) for a multi-input multi-output (MIMO) DC-DC converter interfaced with renewable energy resources in a hybrid system. Such MIMO systems generally suffer from cross-regulation, which seriously impacts the stability and speed of response of the system. To solve the contemporary issues in a MIMO system, a controller is required to attenuate the cross-regulation. Therefore, this paper proposes a controller, which increases speed of response and maintains stable output by regulating the load voltage independently. The inductor current and the capacitor voltage of the proposed converter are considered as the controlling parameters. With the aid of Forward Euler’s procedure, the future values are computed for the instantaneous values of controlling parameters. Cost function defines the control action by the predicted values that describe the system performance and establish optimal condition at which the output of the system is required. This allows proper switching of the system, thereby helping to regulate the output voltages. Thus, for any variation in load, the DMPC ensures steady switching operation and minimization of cross-regulation. To prove the efficacy of proposed DMPC controller, simulations followed by the experimental results are executed on a hybrid system consisting of dual-input dual-output (DIDO) positive Super-Lift Luo converter (PSLLC) interfaced with photovoltaic renewable energy resource. The results thus obtained are compared with the conventional PID (proportional integrative derivative) controller for validation and prove that the DMPC controller is able to control the cross-regulation effectively.

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Section: Comparison With Existing Workmentioning

confidence: 83%

Section: Decoupling Methodsmentioning

confidence: 99%

Section: Comparison With Existing Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC Converter

et al. 2020

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“…The buck-boost converter is a kind of common power electronic converter, which has the characteristics of step-up or step-down, simple structure, and easy grounding [1][2][3]. Therefore, it is widely used in social applications, such as solar power [4][5][6], battery technology [7,8], vehicles [9,10], light emitting diode (LED)lamp driver [11], and telecommunication equipment [12].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Index Feedback Linearization Control for a Buck-Boost Converter

Chen

2021

Energies

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Due to the nonlinear and nonminimum phase characteristics of the buck-boost converter, the design of its controller has always been a challenging problem. In this paper, a multi-index feedback linearization control strategy is proposed to design the controller of the buck-boost converter. Firstly, by constructing an appropriate output function, the original nonlinear system is mapped into a combination of a linear subsystem and a nonlinear subsystem. Then, according to the structural characteristics of these two subsystems, the linear optimal control theory is adopted for the control design of the linear subsystem to make it have a good output performance, while for the nonlinear subsystem, the coefficient of the output function is adjusted to ensure its stability. Finally, based on the Hartman–Grobman theorem, the internal mechanism and coefficient adjustment basis of the proposed method are revealed; that is, by adjusting the coefficient of the output function and the feedback coefficient of the linear control law, the poles of the system are configured to achieve the purpose of adjusting the static and dynamic performance of the system. The simulation results show the feasibility and superiority of using the multi-index feedback linearization control strategy to design the nonlinear control law of the buck-boost converter.

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A New Control Logic for a Wind-Area on the Balancing Authority Area Control Error Limit Standard for Load Frequency Control

et al. 2018

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Nowadays, the Balancing Authority Area Control Error (ACE) Limit (BAAL) Standard has been adopted to replace the Control Performance Standard 2 (CPS2) in the North American power grid. According to the new standard's mechanism, a new control logic, named "Triggered Monitoring and Graded Regulation" (TM-GR) is proposed. Its purpose is to improve wind power utilization, with good BAAL Standard compliance for load frequency control (LFC). With the TM logic, according to the real-time regulating ability of areas and forecasting results of wind power output, the triggering moments to give orders are found and a defined monitoring interval is set to track the succeeding fluctuation of Area Control Error (ACE). With the GR logic, based on whether or not over-limit frequency and over-limit ACE occur simultaneously, unit output is regulated in different grades. In cooperation with the existing control logic of Control Performance Standard 1 (CPS1), the proposed logic has a higher priority. From the test results, with the proposed control logic, the utilization of wind power output increases and, meanwhile, the area's control performance meets the Standard BAL-001-2 requirements. The standard deviation of the frequency deviation is less than the target value, and the duration of over-limit ACE and over-limit frequency can both be restricted to be less than 30 min.

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Cross-Regulation Assessment of DIDO Buck-Boost Converter for Renewable Energy Application

Cited by 4 publications

References 17 publications

Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC Converter

Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC Converter

A Multi-Index Feedback Linearization Control for a Buck-Boost Converter

A New Control Logic for a Wind-Area on the Balancing Authority Area Control Error Limit Standard for Load Frequency Control

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