Model Predictive Control of DC–DC Converters to Mitigate the Effects of Pulsed Power Loads in Naval DC Microgrids

Mardani, Mohammad Mehdi; Khooban, Mohammad Hassan; Masoudian, Ali; Dragičević, Tomislav

doi:10.1109/tie.2018.2877191

Cited by 149 publications

(49 citation statements)

References 35 publications

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“…8 Complexity ship's load power as shown in Figure 10. Due to the lower energy price of CI system compared with the FC system at (1)(2)(3)(4)(5)(6) and (23)(24) hours, the ship will receive the required energy from the CI system (P 4 ) while being at anchor in port; also the battery bank can be charged from CI system (P 5 ) if needed. is fact is shown in both Figures 9 and 10.…”

Section: Comparing the Energy Management Results For Differentmentioning

confidence: 99%

“…Studies show that this cost is mostly dependent on the discharged power of the batteries. Hence, only discharged power is considered in the objective function (1). In many studies in the literature, a constant value is assigned to this cost [18,34].…”

Section: Batteries Degradation Cost and Operation Constraintsmentioning

confidence: 99%

“…Application of renewable and clean energies for supplying the required energy of the marine vessels like small ships and boats is growing and this has led to introducing the concept of Electric Ferry Boats (EFBs) in the marine industry. Different combinations of fossil fuel-based resources and RESs such as diesel generators (DGs), fuel cells (FCs), solar panels, storage batteries (SBs), and cold ironing (CI) [1][2][3] can be used in the EFBs for supplying the demand and providing the propulsion force of these boats. In this situation, optimal energy management of the EFB is an important subject from the viewpoint of both ship owners and reliability concerns that should be considered to reduce the operation cost while considering the operation constraints of the equipment.…”

Section: Introductionmentioning

confidence: 99%

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An Efficient and Cost-Effective Power Scheduling in Zero-Emission Ferry Ships

et al. 2020

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Today’s remarkable challenge of maritime transportation industry is the detrimental contamination generation from fossil fuels. To tackle such a challenge and reduce the contribution into air pollution, different power solutions have been considered; among others, hybrid energy-based solutions are powering many ferry boats. This paper introduces an energy management strategy (EMS) for a hybrid energy system (HES) of a ferry boat with the goal to optimize the performance and reduce the operation cost. HES considered for the ferry boat consists of different devices such as proton exchange membrane fuel cell (PEMFC), LI-ION battery bank, and cold ironing (CI). PEMFC systems are appropriate to employ as they are not polluting. The battery bank compensates for the abrupt variations of the load as the fuel cell has a slow dynamic against sudden changes of the load. Also, CI systems can improve the reduction of the expenses of energy management, during hours where the ferry boat is located at the harbor. To study the performance, cost and the pollution contribution CO2, NOX, SOX of the proposed hybrid energy management strategy (HEMS), we compare it against three various types of HEM from the state-of-the-art and also available rule-based methods in the literature. The analysis results show a high applicability of the proposed HES. All results in this paper have been obtained in the MATLAB software environment.

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Section: Comparing the Energy Management Results For Differentmentioning

confidence: 99%

Section: Batteries Degradation Cost and Operation Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Efficient and Cost-Effective Power Scheduling in Zero-Emission Ferry Ships

et al. 2020

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“…On the other hand, MPC is regarded as the most promising control approach because of the ability in dealing with the multi-variable constraint problems explicitly [8,9]. In recent years, MPC has been used in the dynamic stabilization of DC microgrids [10], control of electric vehicles [11], load frequency control [12], and control of DC-DC converters [13], achieving good simulation and experimental results.…”

Section: Introductionmentioning

confidence: 99%

A Sustainable Power Plant Control Strategy Based on Fuzzy Extended State Observer and Predictive Control

et al. 2018

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The control of an ultra-supercritical (USC) boiler–turbine power plant is critical in maintaining the safety of the sustainable power grid. However, it is challenging due to the internal nonlinearity, hard manipulation constraints, and widespread uncertainties. To this end, a fuzzy extended state observer (FESO)-based stable fuzzy predictive control (SFPC) approach is developed in this paper. First, the control difficulties of the USC boiler–turbine unit are analyzed. Then, based on a Takagi–Sugeno (T–S) fuzzy model, a new FESO is developed for nonlinear systems to achieve a more precise observation performance. The gain of FESO is determined by solving a series of linear matrix inequalities, while guaranteeing the stability of FESO. Then, by combining the proposed FESO with the SFPC, an integrated FESO–SFPC algorithm is devised. The disturbance rejection ability of the FESO–SFPC algorithm is analyzed theoretically. Simulation results on a 1000 MW USC boiler–turbine power plant model further validate the effectiveness of the proposed method.

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“…In addition to the simple concept and easy implementation, FS-MPC features fast dynamic response and multi-objective optimization. As the most popular predictive control scheme in recent years, FS-MPC has been applied to various power converters [21][22][23][24][25][26], including those used in naval MGs, which are similar to the aircraft MGs [27,28].…”

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confidence: 99%

A Hybrid Predictive Control for a Current Source Converter in an Aircraft DC Microgrid

et al. 2019

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A current source converter (CSC) is a promising topology for interfacing aircraft generators with the onboard DC microgrid. In this paper, a hybrid predictive control is proposed for the CSC with an output LC filter in such application. Deadbeat predictive control with larger sampling time is applied to the output circuit, generating reference source currents. Finite-set model predictive control with smaller sampling time is applied to the input circuit to achieve sinusoidal source currents, which is simplified by saving the source current predictions. The proposed scheme eliminates both the proportional-integral controller and the weighting factor, which are required in the existing studies. Besides, it has lower control complexity. A SiC-MOSFET-based prototype is used to verify the validity of the proposed scheme. Experimental results under 150 V/350-800 Hz AC input and 270 V DC output demonstrate the superior control performance.Abstract: A current source converter (CSC) is a promising topology for interfacing aircraft 10 generators with the onboard DC microgrid. In this paper, a hybrid predictive control is proposed 11 for the CSC with an output LC filter in such application. Deadbeat predictive control with larger 12 sampling time is applied to the output circuit, generating reference source currents. Finite-set model 13 predictive control with smaller sampling time is applied to the input circuit to achieve sinusoidal 14 source currents, which is simplified by saving the source current predictions. The proposed scheme 15 eliminates both the proportional-integral controller and the weighting factor, which are required in 16 the existing studies. Besides, it has lower control complexity. A SiC-MOSFET-based prototype is 17 used to verify the validity of the proposed scheme. Experimental results under 150 V/350-800 Hz 18 AC input and 270 V DC output demonstrate the superior control performance.19 Keywords: more electric aircraft; DC microgrid; current source converter; deadbeat predictive 20 control; finite-set model predictive control 21 22 Energies 2019, 12, x FOR PEER REVIEW 3 of 14 while FS-MPC is applied to control source currents. Reference source currents are generated from the 86 output DBPC. In addition, the output DBPC has larger sampling time and the input FS-MPC is 87 simplified by eliminating source current predictions, which reduces the computational burden. 88This paper is organized as follows. Section 2 presents the mathematical model of the CSC system 89 for aircraft DC MG. Section 3 elaborates the principle of the proposed hybrid predictive control 90 scheme. Section 4 shows the simulation and experimental verification. Section 5 draws the conclusion.91 2. Mathematical Model of the CSC System 92 Schematic of the CSC system for the aircraft DC MG is shown in Figure 2. Power source 93 connected to the input side of CSC could be the variable frequency main generators or the auxiliary 94 power units. The input LC filter constituted by the inductor Lfi and the capacitor Cfi attenuates high-95 frequ...

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Model Predictive Control of DC–DC Converters to Mitigate the Effects of Pulsed Power Loads in Naval DC Microgrids

Cited by 149 publications

References 35 publications

An Efficient and Cost-Effective Power Scheduling in Zero-Emission Ferry Ships

An Efficient and Cost-Effective Power Scheduling in Zero-Emission Ferry Ships

A Sustainable Power Plant Control Strategy Based on Fuzzy Extended State Observer and Predictive Control

A Hybrid Predictive Control for a Current Source Converter in an Aircraft DC Microgrid

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